Amazon Bedrock AgentCore Deployment

概要

This skill provides comprehensive patterns for deploying AI agents to Amazon Bedrock AgentCore, facilitating the seamless transition from local development to production-ready AWS environments. It supports four distinct deployment methods—ranging from a rapid starter toolkit for prototypes to complex containerized setups and Terraform-based Infrastructure as Code—ensuring agents are optimized for arm64 architecture with built-in observability and session isolation. It is an essential resource for developers looking to automate agent lifecycles, manage CI/CD pipelines, and implement robust, scalable AI infrastructure on AWS.

主な機能

• Four distinct deployment paths including Starter Toolkit and Containers
• Built-in patterns for local testing and deployment verification
• 0 GitHub stars
• Infrastructure as Code (IaC) support via Terraform configurations
• Automated CI/CD pipeline templates for GitHub Actions and GitLab CI
• Optimization for arm64 architecture to ensure performance and cost-efficiency

ユースケース

• Rapidly deploying a proof-of-concept AI agent using the starter toolkit
• Establishing automated production deployment pipelines for agent code updates
• Managing complex Python dependencies using containerized ECR deployments