> ## Documentation Index
> Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-srmult-1765395526-473a2ea.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Bedrock

<Warning>
  **You are currently on a page documenting the use of Amazon Bedrock models as text completion models. Many popular models available on Bedrock are [chat completion models](/oss/javascript/langchain/models).**

  You may be looking for [this page instead](/oss/javascript/integrations/chat/bedrock/).
</Warning>

> [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.

This will help you get started with Bedrock completion models (LLMs) using LangChain. For detailed documentation on `Bedrock` features and configuration options, please refer to the [API reference](https://api.js.langchain.com/classes/langchain_community_llms_bedrock.Bedrock.html).

## Overview

### Integration details

| Class                                                                                         | Package                                                                                            | Local | Serializable | [PY support](https://python.langchain.com/docs/integrations/llms/bedrock) |                                               Downloads                                              |                                              Version                                              |
| :-------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------------- | :---: | :----------: | :-----------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------: |
| [Bedrock](https://api.js.langchain.com/classes/langchain_community_llms_bedrock.Bedrock.html) | [@langchain/community](https://api.js.langchain.com/modules/langchain_community_llms_bedrock.html) |   ❌   |       ✅      |                                     ✅                                     | ![NPM - Downloads](https://img.shields.io/npm/dm/@langchain/community?style=flat-square\&label=%20&) | ![NPM - Version](https://img.shields.io/npm/v/@langchain/community?style=flat-square\&label=%20&) |

## Setup

To access Bedrock models you'll need to create an AWS account, get an API key, and install the `@langchain/community` integration, along with a few peer dependencies.

### Credentials

Head to [aws.amazon.com](https://aws.amazon.com) to sign up to AWS Bedrock and generate an API key. Once you've done this set the environment variables:

```bash theme={null}
export BEDROCK_AWS_REGION="your-region-url"
export BEDROCK_AWS_ACCESS_KEY_ID="your-access-key-id"
export BEDROCK_AWS_SECRET_ACCESS_KEY="your-secret-access-key"
```

If you want to get automated tracing of your model calls you can also set your [LangSmith](https://docs.langchain.com/langsmith/home) API key by uncommenting below:

```bash theme={null}
# export LANGSMITH_TRACING="true"
# export LANGSMITH_API_KEY="your-api-key"
```

### Installation

The LangChain Bedrock integration lives in the `@langchain/community` package:

<CodeGroup>
  ```bash npm theme={null}
  npm install @langchain/community @langchain/core
  ```

  ```bash yarn theme={null}
  yarn add @langchain/community @langchain/core
  ```

  ```bash pnpm theme={null}
  pnpm add @langchain/community @langchain/core
  ```
</CodeGroup>

And install the peer dependencies:

<CodeGroup>
  ```bash npm theme={null}
  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
  ```

  ```bash yarn theme={null}
  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
  ```

  ```bash pnpm theme={null}
  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
  ```
</CodeGroup>

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

<CodeGroup>
  ```bash npm theme={null}
  npm install @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types
  ```

  ```bash yarn theme={null}
  yarn add @langchain/community @langchain/core
  ```

  ```bash yarn theme={null}
  yarn add @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types
  ```

  ```bash yarn theme={null}
  yarn add @langchain/community @langchain/core
  ```

  ```bash pnpm theme={null}
  pnpm add @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types
  ```

  ```bash yarn theme={null}
  yarn add @langchain/community @langchain/core
  ```
</CodeGroup>

And install the peer dependencies:

<CodeGroup>
  ```bash npm theme={null}
  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
  ```

  ```bash yarn theme={null}
  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
  ```

  ```bash pnpm theme={null}
  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
  ```
</CodeGroup>

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

<CodeGroup>
  ```bash npm theme={null}
  npm install @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types
  ```

  ```bash pnpm theme={null}
  pnpm add @langchain/community @langchain/core
  ```

  ```bash yarn theme={null}
  yarn add @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types
  ```

  ```bash pnpm theme={null}
  pnpm add @langchain/community @langchain/core
  ```

  ```bash pnpm theme={null}
  pnpm add @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types
  ```

  ```bash pnpm theme={null}
  pnpm add @langchain/community @langchain/core
  ```
</CodeGroup>

And install the peer dependencies:

<CodeGroup>
  ```bash npm theme={null}
  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
  ```

  ```bash yarn theme={null}
  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
  ```

  ```bash pnpm theme={null}
  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
  ```
</CodeGroup>

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

<CodeGroup>
  ```bash npm theme={null}
  npm install @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types
  ```

  ```bash yarn theme={null}
  yarn add @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types
  ```

  ```bash pnpm theme={null}
  pnpm add @aws-crypto/sha256-js @smithy/protocol-http @smithy/signature-v4 @smithy/eventstream-codec @smithy/util-utf8 @aws-sdk/types
  ```
</CodeGroup>

## Instantiation

Now we can instantiate our model object and generate chat completions:

```typescript theme={null}
// @lc-docs-hide-cell
// Deno requires these imports, and way of loading env vars.
// we don't want to expose in the docs.
// Below this cell we have a typescript markdown codeblock with
// the node code.
import "@aws-sdk/credential-provider-node";
import "@smithy/protocol-http";
import "@aws-crypto/sha256-js";
import "@smithy/protocol-http";
import "@smithy/signature-v4";
import "@smithy/eventstream-codec";
import "@smithy/util-utf8";
import "@aws-sdk/types";
import { Bedrock } from "@langchain/community/llms/bedrock"
import { getEnvironmentVariable } from "@langchain/core/utils/env";

const llm = new Bedrock({
  model: "anthropic.claude-v2",
  region: "us-east-1",
  // endpointUrl: "custom.amazonaws.com",
  credentials: {
    accessKeyId: getEnvironmentVariable("BEDROCK_AWS_ACCESS_KEY_ID"),
    secretAccessKey: getEnvironmentVariable("BEDROCK_AWS_SECRET_ACCESS_KEY"),
  },
  temperature: 0,
  maxTokens: undefined,
  maxRetries: 2,
  // other params...
})
```

```typescript theme={null}
import { Bedrock } from "@langchain/community/llms/bedrock"

const llm = new Bedrock({
  model: "anthropic.claude-v2",
  region: process.env.BEDROCK_AWS_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,
  },
  temperature: 0,
  maxTokens: undefined,
  maxRetries: 2,
  // other params...
})
```

## Invocation

Note that some models require specific prompting techniques. For example, Anthropic's Claude-v2 model will throw an error if
the prompt does not start with `Human:`.

```typescript theme={null}
const inputText = "Human: Bedrock is an AI company that\nAssistant: "

const completion = await llm.invoke(inputText)
completion
```

```output theme={null}
" Here are a few key points about Bedrock AI:\n" +
  "\n" +
  "- Bedrock was founded in 2021 and is based in San Fran"... 116 more characters
```

***

## API reference

For detailed documentation of all Bedrock features and configurations head to the [API reference](https://api.js.langchain.com/classes/langchain_community_llms_bedrock.Bedrock.html).

***

<Callout icon="pen-to-square" iconType="regular">
  [Edit the source of this page on GitHub.](https://github.com/langchain-ai/docs/edit/main/src/oss/javascript/integrations/llms/bedrock.mdx)
</Callout>

<Tip icon="terminal" iconType="regular">
  [Connect these docs programmatically](/use-these-docs) to Claude, VSCode, and more via MCP for real-time answers.
</Tip>