BedrockAgentCore-Agentic-Usecase
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Overview
This system implements an agentic architecture using AWS Bedrock Agents, featuring an orchestrator agent that dispatches tasks to specialized action and RAG agents, underpinned by an S3-based vector ingestion and retrieval system.
Installation
python agentcore-runtime-mcp-function/src/main.pyEnvironment Variables
- REGION
- MCP_URL
- ACTION_AGENT_ARN
- RAG_AGENT_ARN
- VECTOR_BUCKET
- VECTOR_INDEX_NAME
- SOURCE_BUCKET
- AGENT_ARN
- QUALIFIER
Security Notes
The system utilizes AWS SigV4 authentication for inter-service communication and retrieves sensitive configurations (like ARNs and URLs) from environment variables, which are good security practices. Boto3 is used for AWS service interactions, leveraging IAM roles/credentials. There's a minor hardcoded region for SSM ('eu-central-1') which might be a friction point if deploying in a different region, but not a direct security flaw. The setting of `BYPASS_TOOL_CONSENT='true'` for 'strands' agents should be noted, as it bypasses explicit consent checks for tool execution, which is common in automated agent flows but should be considered in a broader security context.
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