AWS introduces UAEF to evaluate AI agents across frameworks

AWS Machine Learning has introduced the Universal Agent Evaluation Framework, or UAEF, a system for scoring AI agents consistently across frameworks. Adapters convert traces from LangGraph, LangChain, Strands Agents and Amazon Bedrock AgentCore into a common AgentTrace, then the evaluation engine scores them with 36 built-in metrics across seven quality dimensions, including tool calling, safety, performance and multi-agent coordination. UAEF can screen traces for PII, store experiments in DynamoDB and S3, compare runs against a baseline and generate reports. The AWS post says teams at 12 telecom, healthcare and financial services organizations used it to compare agent versions before release. The post includes a metric-selection playbook and runnable notebooks for supported frameworks.