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Overview

AWSBedrockLLMService provides access to Amazon’s foundation models including Anthropic Claude and Amazon Nova, with streaming responses, function calling, and multimodal capabilities through Amazon’s managed AI service for enterprise-grade LLM deployment.

AWS Bedrock LLM API Reference

Pipecat’s API methods for AWS Bedrock integration

Example Implementation

Complete example with function calling

AWS Bedrock Documentation

Official AWS Bedrock documentation and features

AWS Console

Access foundation models and manage IAM

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Installation

To use AWS Bedrock services, install the required dependencies: 
pip install "pipecat-ai[aws]"

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Prerequisites

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AWS Account Setup

Before using AWS Bedrock LLM services, you need:
  1. AWS Account: Sign up at AWS Console
  2. IAM User: Create an IAM user with Amazon Bedrock permissions
  3. Model Access: Request access to foundation models in your AWS region
  4. Credentials: Set up AWS access keys and region configuration

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Required Environment Variables

  • AWS_ACCESS_KEY_ID: Your AWS access key ID
  • AWS_SECRET_ACCESS_KEY: Your AWS secret access key
  • AWS_SESSION_TOKEN: Session token (if using temporary credentials)
  • AWS_REGION: AWS region (defaults to “us-east-1”)