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@ai-sdk/amazon-bedrock

The **[Amazon Bedrock provider](https://ai-sdk.dev/providers/ai-sdk-providers/amazon-bedrock)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Amazon Bedrock [converse API](https://docs.aws.amazon.com/bedrock/latest/APIR

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AI SDK - Amazon Bedrock Provider

The Amazon Bedrock provider for the AI SDK contains language model support for the Amazon Bedrock converse API.

Setup

The Amazon Bedrock provider is available in the @ai-sdk/amazon-bedrock module. You can install it with

npm i @ai-sdk/amazon-bedrock

Skill for Coding Agents

If you use coding agents such as Claude Code or Cursor, we highly recommend adding the AI SDK skill to your repository:

npx skills add vercel/ai

Provider Instance

You can import the default provider instance bedrock from @ai-sdk/amazon-bedrock:

import { bedrock } from '@ai-sdk/amazon-bedrock';

Authentication

The Amazon Bedrock provider supports two authentication methods with automatic fallback:

API key authentication provides a simpler setup process compared to traditional AWS SigV4 authentication. You can authenticate using either environment variables or direct configuration.

Using Environment Variable

Set the AWS_BEARER_TOKEN_BEDROCK environment variable with your API key:

export AWS_BEARER_TOKEN_BEDROCK=your-api-key-here
import { bedrock } from '@ai-sdk/amazon-bedrock';
import { generateText } from 'ai';

const { text } = await generateText({
  model: bedrock('anthropic.claude-3-haiku-20240307-v1:0'),
  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
  // API key is automatically loaded from AWS_BEARER_TOKEN_BEDROCK
});

Using Direct Configuration

You can also pass the API key directly in the provider configuration:

import { bedrock } from '@ai-sdk/amazon-bedrock';
import { generateText } from 'ai';

const bedrockWithApiKey = bedrock.withSettings({
  apiKey: process.env.AWS_BEARER_TOKEN_BEDROCK, // or your API key directly
  region: 'us-east-1', // Optional: specify region
});

const { text } = await generateText({
  model: bedrockWithApiKey('anthropic.claude-3-haiku-20240307-v1:0'),
  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
});

SigV4 Authentication (Fallback)

If no API key is provided, the provider automatically falls back to AWS SigV4 authentication using standard AWS credentials:

import { bedrock } from '@ai-sdk/amazon-bedrock';
import { generateText } from 'ai';

// Uses AWS credentials from environment variables or AWS credential chain
const { text } = await generateText({
  model: bedrock('anthropic.claude-3-haiku-20240307-v1:0'),
  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
});

This method requires standard AWS environment variables:

  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
  • AWS_SESSION_TOKEN (optional, for temporary credentials)

Authentication Precedence

The provider uses the following authentication precedence:

  • API key from direct configuration (apiKey in withSettings())
  • API key from environment variable (AWS_BEARER_TOKEN_BEDROCK)
  • SigV4 authentication (AWS credential chain fallback)

Example

import { bedrock } from '@ai-sdk/amazon-bedrock';
import { generateText } from 'ai';

const { text } = await generateText({
  model: bedrock('meta.llama3-8b-instruct-v1:0'),
  prompt: 'Write a vegetarian lasagna recipe for 4 people.',
});

Documentation

Please check out the Amazon Bedrock provider documentation for more information.

Keywords

ai

FAQs

Package last updated on 28 Feb 2026

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