Chat model integrations | LangChain 한국어

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

Install and use

Tip

See this section for general instructions on installing LangChain packages.

Install:

npm

yarn

pnpm

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!")

Install:

npm

yarn

pnpm

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-sonnet-4-6",
temperature: 0
});

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

Install:

npm

yarn

pnpm

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!")

Install:

npm

yarn

pnpm

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!")

Install:

npm

yarn

pnpm

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!")

OpenAI

Install:

npm

yarn

pnpm

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

yarn

pnpm

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-sonnet-4-6",
temperature: 0
});

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

Google Gemini

Install:

npm

yarn

pnpm

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

yarn

pnpm

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

yarn

pnpm

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

Info

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`	✅	✅	✅	✅
`ChatBedrockConverse`	✅	✅	✅	✅
`ChatGroq`	✅	✅	✅	❌
`ChatOllama`	✅	✅	✅	✅
`ChatMistralAI`	✅	✅	✅	✅
`ChatGoogle`	✅	✅	✅	✅
`ChatXAI`	✅	✅	✅	❌
`ChatCohere`	✅	✅	✅	❌
`ChatFireworks`	✅	✅	✅	❌
`ChatCloudflareWorkersAI`	✅	❌	❌	✅
`ChatTogetherAI`	✅	✅	✅	✅
`ChatPerplexity`	✅	❌	✅	❌

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
FuturMix	`ChatOpenAI`	Unified AI gateway for 22+ models with OpenAI-compatible API and 99.99% SLA

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

Model	Stream	Tool Calling	`withStructuredOutput()`	`Multimodal`	Downloads
`AzureChatOpenAI`	✅	✅	✅	✅
`ChatOpenAI`	✅	✅	✅	✅
`ChatAnthropic`	✅	✅	✅	✅
`ChatGoogleGenerativeAI`	✅	✅	✅	✅
`ChatBedrockConverse`	✅	✅	✅	✅
`ChatVertexAI`	✅	✅	✅	✅
`ChatGroq`	✅	✅	✅	❌
`ChatOllama`	✅	✅	✅	✅
`ChatMistralAI`	✅	✅	✅	✅
`ChatGoogle`	✅	✅	✅	✅
`ChatXAI`	✅	✅	✅	❌
`ChatCohere`	✅	✅	✅	❌
`ChatOpenRouter`	✅	✅	✅	✅
`ChatDeepSeek`	✅	✅	✅	❌
`ChatCerebras`	✅	✅	✅	❌
`ChatFireworks`	✅	✅	✅	❌
`ChatBaiduQianfan`
`ChatCloudflareWorkersAI`	✅	❌	❌	✅
`ChatTogetherAI`	✅	✅	✅	✅
`ChatWatsonx`	✅	✅	✅	✅
`ChatPerplexity`	✅	❌	✅	❌
`ChatYandexGPT`
`ChatInterfaze`	✅	✅	✅	✅
`ChatKServe`	✅	✅	✅	✅
`ChatWebLLM`	✅	✅	✅
`RecallToolkit`
`ChatSCX`	✅	✅	✅	✅
`Auxen`	✅	✅	✅	❌	N/A
`ChatEmpirioLabs`	✅	✅	✅	✅	N/A
`FakeListChatModel`					N/A
`FuturMix`	✅	✅	✅	✅	N/A
`Tuning Engines`	✅	✅	✅	❌	N/A

Info

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