diff --git a/.github/workflows/test-pip-install.yml b/.github/workflows/test-pip-install.yml new file mode 100644 index 0000000000..770725c808 --- /dev/null +++ b/.github/workflows/test-pip-install.yml @@ -0,0 +1,23 @@ +name: Test Package Installation + +on: [push, pull_request, workflow_dispatch] + +jobs: + test-install: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: ["3.10", "3.11", "3.12"] # Adjust Python versions as needed + + steps: + - uses: actions/checkout@v2 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v2 + with: + python-version: ${{ matrix.python-version }} + + - name: Install package with extras + run: pip install '.[external-tools,postgres,dev,server,ollama]' # Replace 'all' with the key that includes all extras + + - name: Check package installation + run: pip list # Or any other command to verify successful installation diff --git a/.github/workflows/test_anthropic.yml b/.github/workflows/test_anthropic.yml index b8daa9abf2..b3993301e0 100644 --- a/.github/workflows/test_anthropic.yml +++ b/.github/workflows/test_anthropic.yml @@ -2,6 +2,7 @@ name: Anthropic Claude Opus 3 Capabilities Test env: ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }} + COMPOSIO_API_KEY: ${{ secrets.COMPOSIO_API_KEY }} on: push: diff --git a/.github/workflows/test_ollama.yml b/.github/workflows/test_ollama.yml index 5006a0ddf4..75178c65a1 100644 --- a/.github/workflows/test_ollama.yml +++ b/.github/workflows/test_ollama.yml @@ -2,6 +2,7 @@ name: Endpoint (Ollama) env: OLLAMA_BASE_URL: "http://localhost:11434" + COMPOSIO_API_KEY: ${{ secrets.COMPOSIO_API_KEY }} on: push: diff --git a/.github/workflows/test_openai.yml b/.github/workflows/test_openai.yml index 879177e990..bd42fa7d38 100644 --- a/.github/workflows/test_openai.yml +++ b/.github/workflows/test_openai.yml @@ -2,6 +2,7 @@ name: OpenAI GPT-4 Capabilities Test env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + COMPOSIO_API_KEY: ${{ secrets.COMPOSIO_API_KEY }} on: push: diff --git a/.github/workflows/test_together.yml b/.github/workflows/test_together.yml index 7fd399d26c..222ce40c0e 100644 --- a/.github/workflows/test_together.yml +++ b/.github/workflows/test_together.yml @@ -2,6 +2,7 @@ name: Together Llama 3.1 70b Capabilities Test env: TOGETHER_API_KEY: ${{ secrets.TOGETHER_API_KEY }} + COMPOSIO_API_KEY: ${{ secrets.COMPOSIO_API_KEY }} on: push: diff --git a/examples/crewai_tool_usage.py b/examples/crewai_tool_usage.py deleted file mode 100644 index dfd8f36113..0000000000 --- a/examples/crewai_tool_usage.py +++ /dev/null @@ -1,78 +0,0 @@ -import json -import uuid - -from letta import create_client -from letta.schemas.embedding_config import EmbeddingConfig -from letta.schemas.llm_config import LLMConfig -from letta.schemas.memory import ChatMemory - -""" -This example show how you can add CrewAI tools . - -First, make sure you have CrewAI and some of the extras downloaded. -``` -# from pypi -pip install 'letta[external-tools]' - -# from source -poetry install --extras "external-tools" -``` -then setup letta with `letta configure`. -""" - - -def main(): - from crewai_tools import ScrapeWebsiteTool - - crewai_tool = ScrapeWebsiteTool(website_url="https://www.example.com") - - # Create a `LocalClient` (you can also use a `RESTClient`, see the letta_rest_client.py example) - client = create_client() - client.set_default_llm_config(LLMConfig.default_config("gpt-4o-mini")) - client.set_default_embedding_config(EmbeddingConfig.default_config(provider="openai")) - - # create tool - example_website_scrape_tool = client.load_crewai_tool(crewai_tool) - tool_name = example_website_scrape_tool.name - - # Confirm that the tool is in - tools = client.list_tools() - assert example_website_scrape_tool.name in [t.name for t in tools] - - # Generate uuid for agent name for this example - namespace = uuid.NAMESPACE_DNS - agent_uuid = str(uuid.uuid5(namespace, "letta-crewai-tooling-example")) - - # Clear all agents - for agent_state in client.list_agents(): - if agent_state.name == agent_uuid: - client.delete_agent(agent_id=agent_state.id) - print(f"Deleted agent: {agent_state.name} with ID {str(agent_state.id)}") - - # google search persona - persona = f""" - - My name is Letta. - - I am a personal assistant who answers a user's questions about a website `example.com`. When a user asks me a question about `example.com`, I will use a tool called {tool_name} which will search `example.com` and answer the relevant question. - - Don’t forget - inner monologue / inner thoughts should always be different than the contents of send_message! send_message is how you communicate with the user, whereas inner thoughts are your own personal inner thoughts. - """ - - # Create an agent - agent_state = client.create_agent(name=agent_uuid, memory=ChatMemory(human="My name is Matt.", persona=persona), tools=[tool_name]) - print(f"Created agent: {agent_state.name} with ID {str(agent_state.id)}") - - # Send a message to the agent - send_message_response = client.user_message(agent_id=agent_state.id, message="What's on the example.com website?") - for message in send_message_response.messages: - response_json = json.dumps(message.model_dump(), indent=4) - print(f"{response_json}\n") - - # Delete agent - client.delete_agent(agent_id=agent_state.id) - print(f"Deleted agent: {agent_state.name} with ID {str(agent_state.id)}") - - -if __name__ == "__main__": - main() diff --git a/letta/client/client.py b/letta/client/client.py index 50931d16bc..233cd6e63f 100644 --- a/letta/client/client.py +++ b/letta/client/client.py @@ -190,9 +190,6 @@ def delete_human(self, id: str): def load_langchain_tool(self, langchain_tool: "LangChainBaseTool", additional_imports_module_attr_map: dict[str, str] = None) -> Tool: raise NotImplementedError - def load_crewai_tool(self, crewai_tool: "CrewAIBaseTool", additional_imports_module_attr_map: dict[str, str] = None) -> Tool: - raise NotImplementedError - def load_composio_tool(self, action: "ActionType") -> Tool: raise NotImplementedError diff --git a/letta/functions/helpers.py b/letta/functions/helpers.py index fd12463f01..b73e417135 100644 --- a/letta/functions/helpers.py +++ b/letta/functions/helpers.py @@ -61,36 +61,6 @@ def {func_name}(**kwargs): return func_name, wrapper_function_str -def generate_crewai_tool_wrapper(tool: "CrewAIBaseTool", additional_imports_module_attr_map: dict[str, str] = None) -> tuple[str, str]: - tool_name = tool.__class__.__name__ - import_statement = f"from crewai_tools import {tool_name}" - extra_module_imports = generate_import_code(additional_imports_module_attr_map) - - # Safety check that user has passed in all required imports: - assert_all_classes_are_imported(tool, additional_imports_module_attr_map) - - tool_instantiation = f"tool = {generate_imported_tool_instantiation_call_str(tool)}" - run_call = f"return tool._run(**kwargs)" - func_name = humps.decamelize(tool_name) - - # Combine all parts into the wrapper function - wrapper_function_str = f""" -def {func_name}(**kwargs): - if 'self' in kwargs: - del kwargs['self'] - import importlib - {import_statement} - {extra_module_imports} - {tool_instantiation} - {run_call} -""" - - # Compile safety check - assert_code_gen_compilable(wrapper_function_str) - - return func_name, wrapper_function_str - - def assert_code_gen_compilable(code_str): try: compile(code_str, "", "exec") @@ -98,9 +68,7 @@ def assert_code_gen_compilable(code_str): print(f"Syntax error in code: {e}") -def assert_all_classes_are_imported( - tool: Union["LangChainBaseTool", "CrewAIBaseTool"], additional_imports_module_attr_map: dict[str, str] -) -> None: +def assert_all_classes_are_imported(tool: Union["LangChainBaseTool"], additional_imports_module_attr_map: dict[str, str]) -> None: # Safety check that user has passed in all required imports: tool_name = tool.__class__.__name__ current_class_imports = {tool_name} @@ -114,7 +82,7 @@ def assert_all_classes_are_imported( raise RuntimeError(err_msg) -def find_required_class_names_for_import(obj: Union["LangChainBaseTool", "CrewAIBaseTool", BaseModel]) -> list[str]: +def find_required_class_names_for_import(obj: Union["LangChainBaseTool", BaseModel]) -> list[str]: """ Finds all the class names for required imports when instantiating the `obj`. NOTE: This does not return the full import path, only the class name. @@ -202,10 +170,10 @@ def generate_imported_tool_instantiation_call_str(obj: Any) -> Optional[str]: else: # Otherwise, if it is none of the above, that usually means it is a custom Python class that is NOT a BaseModel # Thus, we cannot get enough information about it to stringify it - # This may cause issues, but we are making the assumption that any of these custom Python types are handled correctly by the parent library, such as LangChain or CrewAI + # This may cause issues, but we are making the assumption that any of these custom Python types are handled correctly by the parent library, such as LangChain # An example would be that WikipediaAPIWrapper has an argument that is a wikipedia (pip install wikipedia) object # We cannot stringify this easily, but WikipediaAPIWrapper handles the setting of this parameter internally - # This assumption seems fair to me, since usually they are external imports, and LangChain and CrewAI should be bundling those as module-level imports within the tool + # This assumption seems fair to me, since usually they are external imports, and LangChain should be bundling those as module-level imports within the tool # We throw a warning here anyway and provide the class name print( f"[WARNING] Skipping parsing unknown class {obj.__class__.__name__} (does not inherit from the Pydantic BaseModel and is not a basic Python type)" @@ -219,10 +187,9 @@ def generate_imported_tool_instantiation_call_str(obj: Any) -> Optional[str]: def is_base_model(obj: Any): - from crewai_tools.tools.base_tool import BaseModel as CrewAiBaseModel from langchain_core.pydantic_v1 import BaseModel as LangChainBaseModel - return isinstance(obj, BaseModel) or isinstance(obj, LangChainBaseModel) or isinstance(obj, CrewAiBaseModel) + return isinstance(obj, BaseModel) or isinstance(obj, LangChainBaseModel) def generate_import_code(module_attr_map: Optional[dict]): diff --git a/letta/schemas/tool.py b/letta/schemas/tool.py index f807e3949d..bbe77d7638 100644 --- a/letta/schemas/tool.py +++ b/letta/schemas/tool.py @@ -4,13 +4,9 @@ from letta.functions.helpers import ( generate_composio_tool_wrapper, - generate_crewai_tool_wrapper, generate_langchain_tool_wrapper, ) -from letta.functions.schema_generator import ( - generate_schema_from_args_schema_v1, - generate_schema_from_args_schema_v2, -) +from letta.functions.schema_generator import generate_schema_from_args_schema_v2 from letta.schemas.letta_base import LettaBase from letta.schemas.openai.chat_completions import ToolCall @@ -132,37 +128,7 @@ def from_langchain( tags = ["langchain"] # NOTE: langchain tools may come from different packages wrapper_func_name, wrapper_function_str = generate_langchain_tool_wrapper(langchain_tool, additional_imports_module_attr_map) - json_schema = generate_schema_from_args_schema_v1(langchain_tool.args_schema, name=wrapper_func_name, description=description) - - return cls( - name=wrapper_func_name, - description=description, - source_type=source_type, - tags=tags, - source_code=wrapper_function_str, - json_schema=json_schema, - ) - - @classmethod - def from_crewai( - cls, - crewai_tool: "CrewAIBaseTool", - additional_imports_module_attr_map: dict[str, str] = None, - ) -> "ToolCreate": - """ - Class method to create an instance of Tool from a crewAI BaseTool object. - - Args: - crewai_tool (CrewAIBaseTool): An instance of a crewAI BaseTool (BaseTool from crewai) - - Returns: - Tool: A Letta Tool initialized with attributes derived from the provided crewAI BaseTool object. - """ - description = crewai_tool.description - source_type = "python" - tags = ["crew-ai"] - wrapper_func_name, wrapper_function_str = generate_crewai_tool_wrapper(crewai_tool, additional_imports_module_attr_map) - json_schema = generate_schema_from_args_schema_v1(crewai_tool.args_schema, name=wrapper_func_name, description=description) + json_schema = generate_schema_from_args_schema_v2(langchain_tool.args_schema, name=wrapper_func_name, description=description) return cls( name=wrapper_func_name, @@ -185,15 +151,6 @@ def load_default_langchain_tools(cls) -> List["ToolCreate"]: return [wikipedia_tool] - @classmethod - def load_default_crewai_tools(cls) -> List["ToolCreate"]: - # For now, we only support scrape website tool - from crewai_tools import ScrapeWebsiteTool - - web_scrape_tool = ToolCreate.from_crewai(ScrapeWebsiteTool()) - - return [web_scrape_tool] - @classmethod def load_default_composio_tools(cls) -> List["ToolCreate"]: from composio_langchain import Action diff --git a/letta/server/server.py b/letta/server/server.py index 183b33f257..59bd354368 100644 --- a/letta/server/server.py +++ b/letta/server/server.py @@ -1732,7 +1732,7 @@ def list_all_sources(self, actor: User) -> List[Source]: def add_default_external_tools(self, actor: User) -> bool: """Add default langchain tools. 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publishing system" -optional = false +optional = true python-versions = ">=3.7" files = [ {file = "zope.event-5.0-py3-none-any.whl", hash = "sha256:2832e95014f4db26c47a13fdaef84cef2f4df37e66b59d8f1f4a8f319a632c26"}, @@ -8431,7 +7494,7 @@ test = ["zope.testrunner"] name = "zope-interface" version = "7.1.1" description = "Interfaces for Python" -optional = false +optional = true python-versions = ">=3.8" files = [ {file = "zope.interface-7.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6650bd56ef350d37c8baccfd3ee8a0483ed6f8666e641e4b9ae1a1827b79f9e5"}, @@ -8482,9 +7545,10 @@ test = ["coverage[toml]", "zope.event", "zope.testing"] testing = ["coverage[toml]", "zope.event", "zope.testing"] [extras] +all = ["autoflake", "black", "composio-core", "composio-langchain", "datasets", "docker", "fastapi", "isort", "langchain", "langchain-community", "llama-index-embeddings-ollama", "locust", "pexpect", "pg8000", "pgvector", "pre-commit", "psycopg2", "psycopg2-binary", "pyright", "pytest-asyncio", "pytest-order", "uvicorn", "websockets", "wikipedia"] autogen = ["pyautogen"] -dev = ["autoflake", "black", "datasets", "isort", "pexpect", "pre-commit", "pyright", "pytest-asyncio", "pytest-order"] -external-tools = ["composio-core", "composio-langchain", "crewai", "crewai-tools", "docker", "langchain", "langchain-community", "wikipedia"] +dev = ["autoflake", "black", "datasets", "isort", "locust", "pexpect", "pre-commit", "pyright", "pytest-asyncio", "pytest-order"] +external-tools = ["composio-core", "composio-langchain", "docker", "langchain", "langchain-community", "wikipedia"] milvus = ["pymilvus"] ollama = ["llama-index-embeddings-ollama"] postgres = ["pg8000", "pgvector", "psycopg2", "psycopg2-binary"] @@ -8495,4 +7559,4 @@ tests = ["wikipedia"] [metadata] lock-version = "2.0" python-versions = "<3.13,>=3.10" -content-hash = "77288c9fff5ce267c4ca324acc3a435d256e39ac5bb70ed774e66e1553f8b085" +content-hash = "608f7d3ec8dd286bf1bacaf0b05647d6020e5c0e7a97fc0e255325e3a72ecd17" diff --git a/pyproject.toml b/pyproject.toml index 0fc6369fa9..55f439eaa4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -38,7 +38,6 @@ chromadb = ">=0.4.24,<0.5.0" sqlalchemy-json = "^0.7.0" fastapi = {version = "^0.104.1", optional = true} uvicorn = {version = "^0.24.0.post1", optional = true} -#pydantic = "^2.7.4" pydantic = ">=2.7.4,<2.10.0" pyautogen = {version = "0.2.22", optional = true} html2text = "^2020.1.16" @@ -51,9 +50,6 @@ pymilvus = {version ="^2.4.3", optional = true} python-box = "^7.1.1" sqlmodel = "^0.0.16" autoflake = {version = "^2.3.0", optional = true} -#llama-index-embeddings-huggingface = {version = "^0.2.0", optional = true} -#llama-index-embeddings-azure-openai = "^0.1.6" -#llama-index-embeddings-ollama = {version = "^0.1.2", optional = true} python-multipart = "^0.0.9" sqlalchemy-utils = "^0.41.2" pytest-order = {version = "^1.2.0", optional = true} @@ -61,39 +57,38 @@ pytest-asyncio = {version = "^0.23.2", optional = true} pydantic-settings = "^2.2.1" httpx-sse = "^0.4.0" isort = { version = "^5.13.2", optional = true } -crewai = {version = "^0.41.1", optional = true} -crewai-tools = {version = "^0.8.3", optional = true} docker = {version = "^7.1.0", optional = true} tiktoken = "^0.7.0" nltk = "^3.8.1" jinja2 = "^3.1.4" -locust = "^2.31.5" +locust = {version = "^2.31.5", optional = true} llama-index = "^0.11.9" llama-index-embeddings-openai = "^0.2.5" llama-index-embeddings-ollama = "^0.3.1" -#llama-index-embeddings-huggingface = {version = "^0.2.0", optional = true} wikipedia = {version = "^1.4.0", optional = true} -langchain = {version = "^0.2.16", optional = true} -langchain-community = {version = "^0.2.17", optional = true} -composio-langchain = "^0.5.28" -composio-core = "^0.5.34" +composio-langchain = {version = "^0.5.28", optional = true} +composio-core = {version = "^0.5.34", optional = true} alembic = "^1.13.3" pyhumps = "^3.8.0" psycopg2 = "^2.9.10" psycopg2-binary = "^2.9.10" pathvalidate = "^3.2.1" +langchain-community = {version = "^0.3.7", optional = true} +langchain = {version = "^0.3.7", optional = true} [tool.poetry.extras] #local = ["llama-index-embeddings-huggingface"] postgres = ["pgvector", "pg8000", "psycopg2-binary", "psycopg2"] milvus = ["pymilvus"] -dev = ["pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "datasets", "pyright", "pytest-order", "autoflake", "isort"] +dev = ["pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "datasets", "pyright", "pytest-order", "autoflake", "isort", "locust"] server = ["websockets", "fastapi", "uvicorn"] autogen = ["pyautogen"] qdrant = ["qdrant-client"] ollama = ["llama-index-embeddings-ollama"] -external-tools = ["crewai", "docker", "crewai-tools", "langchain", "wikipedia", "langchain-community", "composio-core", "composio-langchain"] +#external-tools = ["crewai", "docker", "crewai-tools", "langchain", "wikipedia", "langchain-community", "composio-core", "composio-langchain"] +external-tools = ["docker", "langchain", "wikipedia", "langchain-community", "composio-core", "composio-langchain"] tests = ["wikipedia"] +all = ["pgvector", "pg8000", "psycopg2-binary", "psycopg2", "pytest", "pytest-asyncio", "pexpect", "black", "pre-commit", "datasets", "pyright", "pytest-order", "autoflake", "isort", "websockets", "fastapi", "uvicorn", "llama-index-embeddings-ollama", "docker", "langchain", "wikipedia", "langchain-community", "composio-core", "composio-langchain", "locust"] [tool.poetry.group.dev.dependencies] black = "^24.4.2" diff --git a/tests/helpers/endpoints_helper.py b/tests/helpers/endpoints_helper.py index d75301a634..42575c79bc 100644 --- a/tests/helpers/endpoints_helper.py +++ b/tests/helpers/endpoints_helper.py @@ -164,14 +164,12 @@ def check_agent_uses_external_tool(filename: str) -> LettaResponse: Note: This is acting on the Letta response, note the usage of `user_message` """ - from crewai_tools import ScrapeWebsiteTool - - crewai_tool = ScrapeWebsiteTool(website_url="https://www.example.com") + from composio_langchain import Action # Set up client client = create_client() cleanup(client=client, agent_uuid=agent_uuid) - tool = client.load_crewai_tool(crewai_tool=crewai_tool) + tool = client.load_composio_tool(action=Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER) tool_name = tool.name # Set up persona for tool usage diff --git a/tests/test_local_client.py b/tests/test_local_client.py index d8518a3574..42ac002054 100644 --- a/tests/test_local_client.py +++ b/tests/test_local_client.py @@ -124,15 +124,10 @@ def test_agent_add_remove_tools(client: LocalClient, agent): from composio_langchain import Action github_tool = client.load_composio_tool(action=Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER) - # tool 2 - from crewai_tools import ScrapeWebsiteTool - - scrape_website_tool = client.load_crewai_tool(crewai_tool=ScrapeWebsiteTool(website_url="https://www.example.com")) # assert both got added tools = client.list_tools() assert github_tool.id in [t.id for t in tools] - assert scrape_website_tool.id in [t.id for t in tools] # Assert that all combinations of tool_names, organization id are unique combinations = [(t.name, t.organization_id) for t in tools] @@ -144,7 +139,6 @@ def test_agent_add_remove_tools(client: LocalClient, agent): # add both tools to agent in steps agent_state = client.add_tool_to_agent(agent_id=agent_state.id, tool_id=github_tool.id) - agent_state = client.add_tool_to_agent(agent_id=agent_state.id, tool_id=scrape_website_tool.id) # confirm that both tools are in the agent state # we could access it like agent_state.tools, but will use the client function instead @@ -152,9 +146,8 @@ def test_agent_add_remove_tools(client: LocalClient, agent): # but allows us to test the `get_tools_from_agent` pathway as well curr_tools = client.get_tools_from_agent(agent_state.id) curr_tool_names = [t.name for t in curr_tools] - assert len(curr_tool_names) == curr_num_tools + 2 + assert len(curr_tool_names) == curr_num_tools + 1 assert github_tool.name in curr_tool_names - assert scrape_website_tool.name in curr_tool_names # remove only the github tool agent_state = client.remove_tool_from_agent(agent_id=agent_state.id, tool_id=github_tool.id) @@ -162,9 +155,8 @@ def test_agent_add_remove_tools(client: LocalClient, agent): # confirm that only one tool left curr_tools = client.get_tools_from_agent(agent_state.id) curr_tool_names = [t.name for t in curr_tools] - assert len(curr_tool_names) == curr_num_tools + 1 + assert len(curr_tool_names) == curr_num_tools assert github_tool.name not in curr_tool_names - assert scrape_website_tool.name in curr_tool_names def test_agent_with_shared_blocks(client: LocalClient): @@ -328,67 +320,6 @@ def test_tools_from_composio_basic(client: LocalClient): # The tool creation includes a compile safety check, so if this test doesn't error out, at least the code is compilable -def test_tools_from_crewai(client: LocalClient): - # create crewAI tool - - from crewai_tools import ScrapeWebsiteTool - - crewai_tool = ScrapeWebsiteTool() - - # Add the tool - tool = client.load_crewai_tool(crewai_tool=crewai_tool) - - # list tools - tools = client.list_tools() - assert tool.name in [t.name for t in tools] - - # get tool - tool_id = client.get_tool_id(name=tool.name) - retrieved_tool = client.get_tool(tool_id) - source_code = retrieved_tool.source_code - - # Parse the function and attempt to use it - local_scope = {} - exec(source_code, {}, local_scope) - func = local_scope[tool.name] - - # Pull a simple HTML website and check that scraping it works - # TODO: This is very hacky and can break at any time if the website changes. - # Host our own websites to test website tool calling on. - simple_webpage_url = "https://www.example.com" - expected_content = "This domain is for use in illustrative examples in documents." - assert expected_content in func(website_url=simple_webpage_url) - - -def test_tools_from_crewai_with_params(client: LocalClient): - # create crewAI tool - - from crewai_tools import ScrapeWebsiteTool - - crewai_tool = ScrapeWebsiteTool(website_url="https://www.example.com") - - # Add the tool - tool = client.load_crewai_tool(crewai_tool=crewai_tool) - - # list tools - tools = client.list_tools() - assert tool.name in [t.name for t in tools] - - # get tool - tool_id = client.get_tool_id(name=tool.name) - retrieved_tool = client.get_tool(tool_id) - source_code = retrieved_tool.source_code - - # Parse the function and attempt to use it - local_scope = {} - exec(source_code, {}, local_scope) - func = local_scope[tool.name] - - # Pull a simple HTML website and check that scraping it works - expected_content = "This domain is for use in illustrative examples in documents." - assert expected_content in func() - - def test_tools_from_langchain(client: LocalClient): # create langchain tool from langchain_community.tools import WikipediaQueryRun