Chat model integrations

Integrate with chat models using LangChain JavaScript.

Chat models are language models that use a sequence of messages as inputs and return messages as outputs (as opposed to plaintext).

Install and use

See this section for general instructions on installing LangChain packages.

OpenAI

Install:

npm

npm install @langchain/openai @langchain/core

yarn add @langchain/openai @langchain/core

pnpm add @langchain/openai @langchain/core

Add environment variables:

OPENAI_API_KEY=your-api-key

Instantiate the model:

import { ChatOpenAI } from "@langchain/openai";

const model = new ChatOpenAI({ model: "gpt-5.4-mini" });

await model.invoke("Hello, world!")

Anthropic

Install:

npm

npm i @langchain/anthropic @langchain/core

yarn add @langchain/anthropic @langchain/core

pnpm add @langchain/anthropic @langchain/core

Add environment variables:

ANTHROPIC_API_KEY=your-api-key

Instantiate the model:

import { ChatAnthropic } from "@langchain/anthropic";

const model = new ChatAnthropic({
model: "claude-3-sonnet-20240620",
temperature: 0
});

await model.invoke("Hello, world!")

Google Gemini

Install:

npm

npm install @langchain/google @langchain/core

yarn add @langchain/google @langchain/core

pnpm add @langchain/google @langchain/core

Add environment variables:

GOOGLE_API_KEY=your-api-key

Instantiate the model:

import { ChatGoogle } from "@langchain/google";

const model = new ChatGoogle("gemini-2.5-flash");

await model.invoke("Hello, world!")

MistralAI

Install:

npm

npm install @langchain/mistralai @langchain/core

yarn add @langchain/mistralai @langchain/core

pnpm add @langchain/mistralai @langchain/core

Add environment variables:

MISTRAL_API_KEY=your-api-key

Instantiate the model:

import { ChatMistralAI } from "@langchain/mistralai";

const model = new ChatMistralAI({
model: "mistral-large-latest",
temperature: 0
});

await model.invoke("Hello, world!")

Groq

Install:

npm

npm install @langchain/groq @langchain/core

yarn add @langchain/groq @langchain/core

pnpm add @langchain/groq @langchain/core

Add environment variables:

GROQ_API_KEY=your-api-key

Instantiate the model:

import { ChatGroq } from "@langchain/groq";

const model = new ChatGroq({
model: "openai/gpt-oss-120b",
temperature: 0
});

await model.invoke("Hello, world!")

Featured models

While these LangChain classes support the indicated advanced feature, you may need to refer to provider-specific documentation to learn which hosted models or backends support the feature.

Model	Stream	Tool Calling	withStructuredOutput()	Multimodal
ChatOpenAI	✅	✅	✅	✅
ChatAnthropic	✅	✅	✅	✅
ChatGoogle	✅	✅	✅	✅
ChatBedrockConverse	✅	✅	✅	✅
ChatCloudflareWorkersAI	✅	❌	❌	❌
ChatCohere	✅	✅	✅	✅
ChatFireworks	✅	✅	✅	✅
ChatGroq	✅	✅	✅	✅
ChatMistralAI	✅	✅	✅	✅
ChatOllama	✅	✅	✅	✅
ChatPerplexity	✅	❌	✅	❌
ChatTogetherAI	✅	✅	✅	✅
ChatXAI	✅	✅	✅	❌

See the full list of chat model integrations below for more options.

Routers & proxies

Routers and proxies give you access to models from multiple providers through a single API and credential. They can simplify billing, let you switch between models without changing integrations, and offer features like automatic fallbacks.

Provider	Integration	Description
OpenRouter	ChatOpenRouter	Unified access to models from OpenAI, Anthropic, Google, Meta, and more

Chat Completions API

Certain model providers offer endpoints that are compatible with OpenAI’s (legacy) Chat Completions API. In such case, you can use ChatOpenAI with a custom base_url to connect to these endpoints. Note that features built on top of the Chat Completions API may not be fully supported by ChatOpenAI; in such cases, consider using a provider-specific class if available.

All chat models

Anthropic

View guide

Azure OpenAI

View guide

Baidu Qianfan

View guide

Amazon Bedrock Converse

View guide

Cerebras

View guide

Cloudflare Workers AI

View guide

Cohere

View guide

DeepSeek

View guide

Fake LLM

View guide

Google Gemini

View guide

Groq

View guide

MistralAI

View guide

Ollama

View guide

OpenAI

View guide

Perplexity

View guide

xAI

View guide

Fireworks

View guide

IBM watsonx.ai

View guide

Together

View guide

If you’d like to contribute an integration, see Contributing integrations.

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