What foundation models does this skill support?

It supports models available on Amazon Bedrock, including Anthropic Claude 3.5 Sonnet, Claude 3 Opus, Claude 3.5 Haiku, and Amazon Titan.

What is the difference between an Agent and a Knowledge Base?

An Agent is the central orchestrator that reasons and executes tasks, while a Knowledge Base is a specialized data source used for Retrieval-Augmented Generation (RAG) to provide the agent with specific information.

Does this skill help with conversation history?

Yes, Bedrock Agents manage sessions automatically using session IDs, which allows for multi-turn conversations and context persistence across interactions.

Can I connect my own APIs to Bedrock Agents?

Yes, you can use Action Groups to integrate AWS Lambda functions or external REST APIs via OpenAPI schemas, allowing agents to perform real-world actions.

Amazon Bedrock Agents

Name: Amazon Bedrock Agents
Author: adaptationio

byadaptationio

クラウドインフラストラクチャ

Builds and manages autonomous AI agents on AWS with orchestration, RAG capabilities, and custom action groups.

概要

This skill provides comprehensive guidance and implementation patterns for Amazon Bedrock Agents, enabling developers to build autonomous AI systems that orchestrate foundation models like Claude for complex tasks. It covers the end-to-end lifecycle including configuring agent instructions, integrating Lambda functions via action groups, connecting vector databases for RAG, and managing persistent conversation sessions for production-grade AI applications.

主な機能

API integration via Lambda and OpenAPI action groups
Deployment lifecycle management using agent aliases and versions
0 GitHub stars
RAG implementation with Amazon Bedrock Knowledge Bases
Foundation model orchestration for Claude and Amazon Titan
Persistent session and conversation context management

ユースケース

Orchestrating multi-step backend workflows using natural language
Building autonomous customer support agents with tool access
Implementing complex RAG patterns over enterprise data sources

概要

主な機能

API integration via Lambda and OpenAPI action groups
Deployment lifecycle management using agent aliases and versions
0 GitHub stars
RAG implementation with Amazon Bedrock Knowledge Bases
Foundation model orchestration for Claude and Amazon Titan
Persistent session and conversation context management

ユースケース

Orchestrating multi-step backend workflows using natural language
Building autonomous customer support agents with tool access
Implementing complex RAG patterns over enterprise data sources