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Amazon Bedrock AgentCore launches capabilities for optimizing agent performance in preview

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This article announces new optimization capabilities for Amazon Bedrock AgentCore, enabling developers to systematically improve AI agent performance in production.

  • Recommendations capability analyzes production traces to optimize system prompts and tool descriptions
  • Batch evaluations validate recommendations against pre-defined test cases
  • A/B tests validate recommendations with statistical significance reporting
  • Completes the observe, evaluate, improve loop for production AI agents
  • All changes require developer approval before deployment
  • Available in all AWS Regions where AgentCore Evaluations is supported

These tools enable developers to systematically improve agent quality over time rather than relying on manual intervention and intuition.



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