Amazon Bedrock AgentCore Evaluations: LLM-as-a-Judge in Production
Amazon announced a new capability called Amazon Bedrock AgentCore Evaluations, which uses large language models (LLMs) to automatically evaluate the quality, correctness, and effectiveness of AI agents in production.
Why it matters
AgentCore Evaluations addresses a critical challenge in taking AI agents to production, helping teams build trust and confidence in their systems.
Key Points
- 1AWS announced Amazon Bedrock AgentCore Evaluations at AWS re:Invent 2025
- 2The tool uses LLMs as
- 3 to evaluate agent performance on metrics like correctness, helpfulness, and safety
- 4This approach is scalable, consistent, flexible, and reference-free compared to manual testing
- 5The tool helps address the
- 6 between traditional app metrics and subjective AI agent performance
Details
Amazon Bedrock AgentCore Evaluations is a new managed service from AWS that solves a key challenge in deploying AI agents to production - how to measure their performance on subjective criteria like usefulness, appropriateness, and safety. \n\nTraditionally, teams have had to invest months of data science work to build their own evaluation infrastructure before they could even start improving their agents. But with AgentCore Evaluations, AWS is providing a turnkey solution that uses large language models (LLMs) as
No comments yet
Be the first to comment