AWS UAEF evaluates AI agents across frameworks with 36 metrics
AWS's open-source UAEF system normalizes traces from different agent frameworks and compares them with 36 built-in metrics across seven dimensions.
AT A GLANCE
Key points
- 36 metrics across seven dimensions
- Adapters for multiple agent frameworks
- PII screening and version comparison
What is changing?
AWS introduced the Universal Agent Evaluation Framework (UAEF) on November 11. Adapters convert execution traces from frameworks such as LangGraph, LangChain, Strands Agents, and Amazon Bedrock AgentCore into a common format. UAEF provides 36 built-in metrics across seven dimensions, including task success and safety, and supports offline evaluation with optional datasets and reference answers.
According to AWS, the framework has been used by 12 organizations across telecom, healthcare, and finance. PII screening runs before storage, while results can be written to DynamoDB and Amazon S3 for comparison and regression tracking. Metrics, LLM judges, and test sets still need calibration for each product context.
Explore the original sources
Source date: 11 November 2026.
Published by AI Radar: 11 Nov 2026, 20:03 (Istanbul, UTC+3).
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