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*   [Chat models](/v0.2/docs/integrations/chat/)
*   Bedrock

On this page

BedrockChat
===========

> [Amazon Bedrock](https://aws.amazon.com/bedrock/) is a fully managed service that makes Foundation Models (FMs) from leading AI startups and Amazon available via an API. You can choose from a wide range of FMs to find the model that is best suited for your use case.

Setup[​](#setup "Direct link to Setup")
---------------------------------------

You'll need to install the `@langchain/community` package:

tip

See [this section for general instructions on installing integration packages](/v0.2/docs/how_to/installation#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/community

    yarn add @langchain/community

    pnpm add @langchain/community

Then, you'll need to install a few official AWS packages as peer dependencies:

*   npm
*   Yarn
*   pnpm

    npm install @aws-crypto/sha256-js @aws-sdk/credential-provider-node @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types

    yarn add @aws-crypto/sha256-js @aws-sdk/credential-provider-node @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types

    pnpm add @aws-crypto/sha256-js @aws-sdk/credential-provider-node @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types

You can also use BedrockChat in web environments such as Edge functions or Cloudflare Workers by omitting the `@aws-sdk/credential-provider-node` dependency and using the `web` entrypoint:

*   npm
*   Yarn
*   pnpm

    npm install @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types

    yarn add @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types

    pnpm add @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types

Usage[​](#usage "Direct link to Usage")
---------------------------------------

tip

We're unifying model params across all packages. We now suggest using `model` instead of `modelName`, and `apiKey` for API keys.

Currently, only Anthropic, Cohere, and Mistral models are supported with the chat model integration. For foundation models from AI21 or Amazon, see [the text generation Bedrock variant](/v0.2/docs/integrations/llms/bedrock).

    import { BedrockChat } from "@langchain/community/chat_models/bedrock";// Or, from web environments:// import { BedrockChat } from "@langchain/community/chat_models/bedrock/web";import { HumanMessage } from "@langchain/core/messages";// If no credentials are provided, the default credentials from// @aws-sdk/credential-provider-node will be used.// modelKwargs are additional parameters passed to the model when it// is invoked.const model = new BedrockChat({  model: "anthropic.claude-3-sonnet-20240229-v1:0",  region: "us-east-1",  // endpointUrl: "custom.amazonaws.com",  // credentials: {  //   accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,  //   secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,  // },  // modelKwargs: {  //   anthropic_version: "bedrock-2023-05-31",  // },});// Other model names include:// "mistral.mistral-7b-instruct-v0:2"// "mistral.mixtral-8x7b-instruct-v0:1"//// For a full list, see the Bedrock page in AWS.const res = await model.invoke([  new HumanMessage({ content: "Tell me a joke" }),]);console.log(res);/*  AIMessage {    content: "Here's a silly joke for you:\n" +      '\n' +      "Why can't a bicycle stand up by itself?\n" +      "Because it's two-tired!",    name: undefined,    additional_kwargs: { id: 'msg_01NYN7Rf39k4cgurqpZWYyDh' }  }*/const stream = await model.stream([  new HumanMessage({ content: "Tell me a joke" }),]);for await (const chunk of stream) {  console.log(chunk.content);}/*  Here  's  a  silly  joke  for  you  :  Why  can  't  a  bicycle  stand  up  by  itself  ?  Because  it  's  two  -  tired  !*/

#### API Reference:

*   [BedrockChat](https://v02.api.js.langchain.com/classes/langchain_community_chat_models_bedrock.BedrockChat.html) from `@langchain/community/chat_models/bedrock`
*   [HumanMessage](https://v02.api.js.langchain.com/classes/langchain_core_messages.HumanMessage.html) from `@langchain/core/messages`

Multimodal inputs[​](#multimodal-inputs "Direct link to Multimodal inputs")
---------------------------------------------------------------------------

tip

Multimodal inputs are currently only supported by Anthropic Claude-3 models.

Anthropic Claude-3 models hosted on Bedrock have multimodal capabilities and can reason about images. Here's an example:

    import * as fs from "node:fs/promises";import { BedrockChat } from "@langchain/community/chat_models/bedrock";// Or, from web environments:// import { BedrockChat } from "@langchain/community/chat_models/bedrock/web";import { HumanMessage } from "@langchain/core/messages";// If no credentials are provided, the default credentials from// @aws-sdk/credential-provider-node will be used.// modelKwargs are additional parameters passed to the model when it// is invoked.const model = new BedrockChat({  model: "anthropic.claude-3-sonnet-20240229-v1:0",  region: "us-east-1",  // endpointUrl: "custom.amazonaws.com",  // credentials: {  //   accessKeyId: process.env.BEDROCK_AWS_ACCESS_KEY_ID!,  //   secretAccessKey: process.env.BEDROCK_AWS_SECRET_ACCESS_KEY!,  // },  // modelKwargs: {  //   anthropic_version: "bedrock-2023-05-31",  // },});const imageData = await fs.readFile("./hotdog.jpg");const res = await model.invoke([  new HumanMessage({    content: [      {        type: "text",        text: "What's in this image?",      },      {        type: "image_url",        image_url: {          url: `data:image/jpeg;base64,${imageData.toString("base64")}`,        },      },    ],  }),]);console.log(res);/*  AIMessage {    content: 'The image shows a hot dog or frankfurter. It has a reddish-pink sausage filling encased in a light brown bread-like bun. The hot dog bun is split open, revealing the sausage inside. This classic fast food item is a popular snack or meal, often served at events like baseball games or cookouts. The hot dog appears to be against a plain white background, allowing the details and textures of the food item to be clearly visible.',    name: undefined,    additional_kwargs: { id: 'msg_01XrLPL9vCb82U3Wrrpza18p' }  }*/

#### API Reference:

*   [BedrockChat](https://v02.api.js.langchain.com/classes/langchain_community_chat_models_bedrock.BedrockChat.html) from `@langchain/community/chat_models/bedrock`
*   [HumanMessage](https://v02.api.js.langchain.com/classes/langchain_core_messages.HumanMessage.html) from `@langchain/core/messages`

* * *

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