Add new LLM provider Novita AI

docs/core_docs/.gitignore

@@ -268,6 +268,8 @@ docs/integrations/toolkits/openapi.md
 docs/integrations/toolkits/openapi.mdx
 docs/integrations/text_embedding/togetherai.md
 docs/integrations/text_embedding/togetherai.mdx
+docs/integrations/text_embedding/pinecone.md
+docs/integrations/text_embedding/pinecone.mdx
 docs/integrations/text_embedding/openai.md
 docs/integrations/text_embedding/openai.mdx
 docs/integrations/text_embedding/ollama.md
@@ -328,12 +330,16 @@ docs/integrations/llms/azure.md
 docs/integrations/llms/azure.mdx
 docs/integrations/llms/arcjet.md
 docs/integrations/llms/arcjet.mdx
+docs/integrations/chat/xai.md
+docs/integrations/chat/xai.mdx
 docs/integrations/chat/togetherai.md
 docs/integrations/chat/togetherai.mdx
 docs/integrations/chat/openai.md
 docs/integrations/chat/openai.mdx
 docs/integrations/chat/ollama.md
 docs/integrations/chat/ollama.mdx
+docs/integrations/chat/novita.md
+docs/integrations/chat/novita.mdx
 docs/integrations/chat/mistral.md
 docs/integrations/chat/mistral.mdx
 docs/integrations/chat/ibm.md

docs/core_docs/docs/integrations/chat/novita.ipynb

@@ -0,0 +1,207 @@
+{
+ "cells": [
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "sidebar_label: Novita\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# ChatNovita\n",
+    "\n",
+    "[Novita AI](https://novita.ai/model-api/product/llm-api?utm_source=github_langchain&utm_medium=github_readme&utm_campaign=link): The most cost-effective, stable, and scalable inference platform — delivering production-ready performance at a lower cost.\n",
+    "\n",
+    "This guide will help you getting started with `ChatNovitaAI` [chat models](/docs/concepts/chat_models). For detailed documentation of all `ChatNovitaAI` features and configurations head to the [API reference](https://novita.ai/docs/model-api/reference/llm/llm.html?utm_source=github_langchain&utm_medium=github_readme&utm_campaign=link)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Overview\n",
+    "\n",
+    "### Model features\n",
+    "| [Tool calling](../../how_to/tool_calling.ipynb) | [Structured output](../../how_to/structured_output.ipynb) | JSON mode | [Image input](../../how_to/multimodal_inputs.ipynb) | Audio input | Video input | [Token-level streaming](../../how_to/chat_streaming.ipynb) | Native async | [Token usage](../../how_to/chat_token_usage_tracking.ipynb) | [Logprobs](../../how_to/logprobs.ipynb) |\n",
+    "| :---: | :---: | :---: | :---: |  :---: | :---: | :---: | :---: | :---: | :---: |\n",
+    "| ❌ | ✅ | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | ❌ |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Setup\n",
+    "\n",
+    "To access Novita AI models you'll need to create a Novita account and get an API key.\n",
+    "\n",
+    "### Credentials\n",
+    "\n",
+    "Head to [this page](https://novita.ai/settings#key-management?utm_source=github_langchain&utm_medium=github_readme&utm_campaign=link) to sign up to Novita AI and generate an API key. Once you've done this set the NOVITA_API_KEY environment variable:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "vscode": {
+     "languageId": "shellscript"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "export NOVITA_API_KEY=\"your-api-key\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Installation\n",
+    "\n",
+    "The LangChain Novita integration lives in the `@langchain-community` package:\n",
+    "\n",
+    "```{=mdx}\n",
+    "import IntegrationInstallTooltip from \"@mdx_components/integration_install_tooltip.mdx\";\n",
+    "import Npm2Yarn from \"@theme/Npm2Yarn\";\n",
+    "\n",
+    "<IntegrationInstallTooltip></IntegrationInstallTooltip>\n",
+    "\n",
+    "<Npm2Yarn>\n",
+    "  @langchain/community @langchain/core\n",
+    "</Npm2Yarn>\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Instantiation\n",
+    "\n",
+    "Now we can instantiate our model object and generate chat completions:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "vscode": {
+     "languageId": "javascript"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import { ChatNovitaAI } from \"../novita.js\";\n",
+    "\n",
+    "const llm = new ChatNovitaAI({\n",
+    "    model: \"gryphe/mythomax-l2-13b\",\n",
+    "    temperature: 0,\n",
+    "    // other params...\n",
+    "})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Invocation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "vscode": {
+     "languageId": "javascript"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "const aiMsg = await llm.invoke([\n",
+    "    [\n",
+    "        \"system\",\n",
+    "        \"You are a helpful assistant that translates English to French. Translate the user sentence.\",\n",
+    "    ],\n",
+    "    [\"human\", \"I love programming.\"],\n",
+    "])\n",
+    "aiMsg"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "vscode": {
+     "languageId": "javascript"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "console.log(aiMsg.content)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Chaining\n",
+    "\n",
+    "We can [chain](../../how_to/sequence.ipynb) our model with a prompt template like so:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "vscode": {
+     "languageId": "javascript"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import { ChatPromptTemplate } from \"@langchain/core/prompts\"\n",
+    "\n",
+    "const prompt = ChatPromptTemplate.fromMessages(\n",
+    "    [\n",
+    "        [\n",
+    "            \"system\",\n",
+    "            \"You are a helpful assistant that translates {input_language} to {output_language}.\",\n",
+    "        ],\n",
+    "        [\"human\", \"{input}\"],\n",
+    "    ]\n",
+    ")\n",
+    "\n",
+    "const chain = prompt.pipe(llm);\n",
+    "await chain.invoke(\n",
+    "    {\n",
+    "        input_language: \"English\",\n",
+    "        output_language: \"German\",\n",
+    "        input: \"I love programming.\",\n",
+    "    }\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## API reference\n",
+    "\n",
+    "For detailed documentation of Novita AI LLM APIs, head to [Novita AI API reference](https://novita.ai/docs/model-api/reference/llm/llm.html?utm_source=github_langchain&utm_medium=github_readme&utm_campaign=link)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

docs/core_docs/docs/integrations/chat/novita.mdx

@@ -0,0 +1,51 @@
+---
+sidebar_label: Novita
+---
+
+import CodeBlock from "@theme/CodeBlock";
+
+# ChatNovita
+
+[Novita AI](https://novita.ai/model-api/product/llm-api?utm_source=github_langchain&utm_medium=github_readme&utm_campaign=link) is the most cost-effective, stable, and scalable inference platform — delivering production-ready performance at a lower cost.
+
+This guide will help you get started with `ChatNovitaAI` [chat models](/docs/concepts/chat_models). For detailed documentation of all `ChatNovitaAI` features and configurations head to the [API reference](https://novita.ai/docs/model-api/reference/llm/llm.html?utm_source=github_langchain&utm_medium=github_readme&utm_campaign=link).
+
+## Setup
+
+To access Novita AI models you'll need to create a Novita account and get an API key.
+
+### Credentials
+
+Head to [this page](https://novita.ai/settings#key-management?utm_source=github_langchain&utm_medium=github_readme&utm_campaign=link) to sign up to Novita AI and generate an API key. Once you've done this set the NOVITA_API_KEY environment variable:
+
+```bash
+export NOVITA_API_KEY="your-api-key"
+```
+
+### Installation
+
+The LangChain Novita integration lives in the `@langchain-community` package:
+
+import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
+
+<IntegrationInstallTooltip></IntegrationInstallTooltip>
+
+```bash npm2yarn
+npm install @langchain/community @langchain/core
+```
+
+## Basic usage
+
+import Novita from "@examples/models/chat/integration_novita.ts";
+
+<CodeBlock language="typescript">{Novita}</CodeBlock>
+
+## Chain model calls
+
+import NovitaChain from "@examples/models/chat/integration_novita_chain.ts";
+
+<CodeBlock language="typescript">{NovitaChain}</CodeBlock>
+
+## API reference
+
+For detailed documentation of Novita AI LLM APIs, head to [Novita AI API reference](https://novita.ai/docs/model-api/reference/llm/llm.html?utm_source=github_langchain&utm_medium=github_readme&utm_campaign=link)

examples/src/models/chat/integration_novita.ts

@@ -0,0 +1,25 @@
+import { ChatNovita } from "@langchain/community/chat_models/novita";
+import { HumanMessage } from "@langchain/core/messages";
+
+// Use gryphe/mythomax-l2-13b
+const chat = new ChatNovita({
+  apiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.NOVITA_API_KEY
+  model: "gryphe/mythomax-l2-13b", // Check available models at https://novita.ai/llm-api
+  temperature: 0.3,
+});
+
+const messages = [new HumanMessage("Hello")];
+
+const res = await chat.invoke(messages);
+/*
+AIMessage {
+  content: "Hello! How can I help you today? Is there something you would like to talk about or ask about? I'm here to assist you with any questions you may have.",
+}
+*/
+
+const res2 = await chat.invoke(messages);
+/*
+AIMessage {
+  text: "Hello! How can I help you today? Is there something you would like to talk about or ask about? I'm here to assist you with any questions you may have.",
+}
+*/

examples/src/models/chat/integration_novita_chain.ts

@@ -0,0 +1,29 @@
+import { ChatNovita } from "@langchain/community/chat_models/novita";
+import { LLMChain } from "langchain/chains";
+import { PromptTemplate } from "@langchain/core/prompts";
+
+
+const chat = new ChatNovita({
+  apiKey: "YOUR-API-KEY", // In Node.js defaults to process.env.NOVITA_API_KEY
+  model: "gryphe/mythomax-l2-13b", // Check available models at https://novita.ai/llm-api
+  temperature: 0.3,
+});
+
+const prompt = PromptTemplate.fromTemplate(
+  "What is a good name for a company that makes {product}?"
+);
+const chain = new LLMChain({ llm: chat, prompt });
+
+const response = await chain.invoke({ product: "colorful socks" });
+
+console.log({ response });
+
+/*
+  {
+  text: `I'm not sure what you mean by "colorful socks" but here are some ideas:\n` +
+    '\n' +
+    '- Sock-it to me!\n' +
+    '- Socks Away\n' +
+    '- Fancy Footwear'
+  }
+*/

libs/langchain-community/langchain.config.js

@@ -113,6 +113,7 @@ export const config = {
     "llms/writer": "llms/writer",
     "llms/yandex": "llms/yandex",
     "llms/layerup_security": "llms/layerup_security",
+    "llms/novita": "llms/novita",
     // vectorstores
     "vectorstores/analyticdb": "vectorstores/analyticdb",
     "vectorstores/astradb": "vectorstores/astradb",

libs/langchain-community/package.json

@@ -35,7 +35,7 @@
   "author": "LangChain",
   "license": "MIT",
   "dependencies": {
-    "@langchain/openai": ">=0.2.0 <0.4.0",
+    "@langchain/openai": "workspace:*",
     "binary-extensions": "^2.2.0",
     "expr-eval": "^2.0.2",
     "flat": "^5.0.2",