AWS Machine Learning Blog· Samaneh Aminikhanghahi·· 4 d ago
UAEF: A framework-agnostic system for closed-loop evaluation of AI agents
UAEF: A framework-agnostic system for closed-loop evaluation of AI agents
AI summary
The Universal Agent Evaluation Framework (UAEF) is a framework-agnostic system for evaluating AI agents. UAEF converts each framework's traces into one canonical format, scores them with 36 built-in metrics across 7 dimensions, and stores results so teams can compare agent versions and catch regressions.
Selection record
Threshold 60Official, first-handFirst 62Second 62
AdmittedSum of both 124 ≥ twice the threshold 120
- Source tier
- Official, first-hand; this tier's threshold is 60
- Pre-filter
- passed：介绍AI Agent闭环评测框架UAEF
- Why it was chosen
- Sets out the adapters and metrics behind cross-framework evaluation, showing how to compare the performance of different agent versions.
A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.
Source: AWS Machine Learning Blog · aws.amazon.com