feat: add Amazon Bedrock Knowledge Base tool#6372
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- Created BedrockKBTool(BaseTool) subclass with _get_declaration() and async run_async() - Supports managed and vector knowledge base types - Agentic retrieval with fallback to standard Retrieve API - Unit tests included - Added BEDROCK_MANAGED_KB.md design doc
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Response from ADK Triaging Agent Hello @PVidyadhar, thank you for creating this PR! It's a great addition to the ADK tools library! To help us move forward with reviewing your pull request, could you please address the following items from our contribution guidelines:
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feat: add Amazon Bedrock Knowledge Base tool
Please ensure you have read the contribution guide before creating a pull request.
Link to Issue or Description of Change
1. Link to an existing issue (if applicable):
N/A — new feature.
2. Or, if no issue exists, describe the change:
Problem:
ADK agents currently have no built-in way to retrieve context from Amazon Bedrock Knowledge Bases, requiring users to write custom tool implementations for RAG workflows.
Solution:
Created
BedrockKBTool(BaseTool)subclass that integrates natively with the ADK agent framework. The tool uses_get_declaration()for schema registration andasync run_async()for execution, matching the standard ADK tool pattern. Supports both managed and vector KB types with agentic retrieval (query decomposition + managed reranking) and automatic fallback.Testing Plan
Unit Tests:
pytest tests/test_bedrock_kb_tool.py— all tests pass with mocked boto3 calls.Manual End-to-End (E2E) Tests:
Called
tool.run_async(args={'query': '...'})against a managed KB in us-west-2. Returned 3 results with content and scores. Called exactly as ADK agent framework would invoke it.Checklist
Additional context
bedrock:Retrieve,bedrock:AgenticRetrieveboto3 >= 1.43