This is a simple, but helpful testing script to help you quickly test and validate your AWS bedrock KB setup. Just update your AWS region if different, and plug in your Bedrock KB ID.
import boto3 import json import time from datetime import datetime def test_kb_setup(): """Test function to verify Bedrock Knowledge Base setup and queries""" # Initialize clients bedrock_agent = boto3.client('bedrock-agent-runtime', region_name='us-east-1') bedrock_runtime = boto3.client('bedrock-runtime', region_name='us-east-1') # Your Knowledge Base ID kb_id = "**your-knowledge-base-id**" # Replace with your actual KB ID def test_kb_query(query_text): """Test a single knowledge base query""" print(f"\nTesting query: '{query_text}'") print("-" * 50) try: # Query the knowledge base response = bedrock_agent.retrieve( knowledgeBaseId=kb_id, retrievalQuery={'text': query_text}, retrievalConfiguration={ 'vectorSearchConfiguration': { 'numberOfResults': 3 } } ) # Print raw response for debugging print("\nRaw Response:") print(json.dumps(response, indent=2, default=str)) # Process and print retrieved results print("\nProcessed Results:") if 'retrievalResults' in response: for i, result in enumerate(response['retrievalResults'], 1): print(f"\nResult {i}:") print(f"Score: {result.get('score', 'N/A')}") print(f"Content: {result.get('content', {}).get('text', 'N/A')}") print(f"Location: {result.get('location', 'N/A')}") else: print("No results found in response") return True except Exception as e: print(f"Error during query: {str(e)}") return False def test_kb_with_bedrock(query_text): """Test knowledge base integration with Bedrock""" print(f"\nTesting KB + Bedrock integration for: '{query_text}'") print("-" * 50) try: # First get KB results kb_response = bedrock_agent.retrieve( knowledgeBaseId=kb_id, retrievalQuery={'text': query_text}, retrievalConfiguration={ 'vectorSearchConfiguration': { 'numberOfResults': 3 } } ) # Format context from KB results context = "" if 'retrievalResults' in kb_response: context = "\n".join([ f"Reference {i+1}:\n{result.get('content', {}).get('text', '')}\n" for i, result in enumerate(kb_response['retrievalResults']) ]) # Prepare Bedrock prompt enhanced_prompt = ( f"Using the following references:\n\n{context}\n\n" f"Please answer this question: {query_text}\n" "Base your response on the provided references and clearly cite them when used." ) # Get Bedrock response bedrock_response = bedrock_runtime.invoke_model( modelId="anthropic.claude-v2", body=json.dumps({ "prompt": f"\n\nHuman: {enhanced_prompt}\n\nAssistant:", "max_tokens_to_sample": 500, "temperature": 0.7, "top_p": 1, }), contentType="application/json", accept="application/json", ) response_body = json.loads(bedrock_response.get('body').read()) final_response = response_body.get('completion', '').strip() print("\nBedrock Response:") print(final_response) return True except Exception as e: print(f"Error during KB + Bedrock integration: {str(e)}") return False # Run test queries test_queries = [ "What are our company's remote work policies?", "Tell me about employee benefits", "What is the vacation policy?", "How does the performance review process work?", "What are the working hours?" ] print("Starting Knowledge Base Tests") print("=" * 50) # Test 1: Basic KB Queries print("\nTest 1: Basic Knowledge Base Queries") for query in test_queries: success = test_kb_query(query) if not success: print(f"Failed on query: {query}") # Test 2: KB + Bedrock Integration print("\nTest 2: Knowledge Base + Bedrock Integration") for query in test_queries: success = test_kb_with_bedrock(query) if not success: print(f"Failed on integration test: {query}") if __name__ == "__main__": test_kb_setup()
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