EnableAgentBedrock

Enables Embabel Agent integration with AWS Bedrock for enterprise-grade AI model access.

This annotation configures your Spring Boot application to use AWS Bedrock as AI model provider, enabling access to foundation models like Claude, Titan, and other AWS-hosted models through a unified interface.

What This Provides:

• Activates "bedrock" Spring profile
• Configures AWS Bedrock client with proper authentication (using AwsCredentialsProvider through org.springframework.ai:spring-ai-bedrock library)
• Sets up model routing to use Bedrock-hosted models

Example Usage:

public class BedrockAgentApplication {
    public static void main(String[] args) {
        SpringApplication.run(BedrockAgentApplication.class, args);
    }
}

Required AWS Configuration:

Ensure AWS credentials are configured via one of these methods:

• AWS credentials file: ~/.aws/credentials
• Environment variables: AWS_REGION, AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY
• IAM role (when running on EC2/ECS/Lambda)
• AWS SSO configuration

Configuration Properties:

# application.yml
embabel:
  models:
    default-llm: eu.anthropic.claude-sonnet-4-20250514-v1:0
    default-embedding-model: cohere.embed-multilingual-v3

If a more convenient model is needed, you may also override the provided application-bedrock.yml model list.

See also