awslabs/amazon-bedrock-agent-samples

Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities

What it solves

이 저장소는 Amazon Bedrock Agents를 사용하여 AI 기반 어시스턴트를 구축하는 실용적인 예제와 베스트 프랙티스을 제공합니다. 복잡한 워크플로우를 자동화하고 다양한 API 및 서비스와 상호작용하는 방법을 시연하여 개발자가 실험 단계에서 프로덕션 단계로 전환할 수 있도록 돕습니다.

How it works

이 프로젝트는 Amazon Bedrock Agents 프레임워크를 사용하여 작업을 수행할 수 있는 에이전트를 생성합니다. 단일 에이전트 설정과, 슈퍼바이저가 라우팅 또는 슈퍼바이저 모드를 사용하여 여러 에이전트 간에 작업을 계획하고 실행할 수 있는 멀티 에이전트 협업을 지원합니다. 예제는 주로 Python의 boto3 SDK를 사용하여 구현되었지만, boto3 SDK를 사용하여 구현되었지만, boto3 SDK를 사용하여 구현되었지만, boto3 SDK를 사용하여 구현되었지만, boto3 SDK를 사용하여 구현되었지만, boto3 SDK를 사용하여 구현되었지만, boto3 SDK를 사용하여 구현되었지만, boto3 SDK를 사용하여 구현되었지만, boto3 SDK를 사용하여 구현되었지만, boto3 SDK를 사용하여 구현되었aby, but they are compatible with various other AWS SDKs.

Who it’s for

Amazon Bedrock Agents를 사용하여 에이전트형 AI 솔루션을 구축하는 개발자 및 아키텍트, 특히 일반적인 에이전트 패턴(예: 코드 해석, 장기 기억, Human-in-the-loop)의 참조 구현을 찾는 분들을 위한 것입니다. ment, specifically those looking for reference implementations of common agent patterns (specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, ways, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically, specifically