AWS releases UAEF, open-source framework for evaluating AI agents across frameworks
Overview
AWS releases the Universal Agent Evaluation Framework (UAEF), an open-source tool for evaluating AI agents built on different frameworks.
UAEF uses adapters to convert traces from LangGraph, LangChain, Strands Agents, and Amazon Bedrock AgentCore into one common format, then scores them with 36 built-in metrics across 7 dimensions. It stores results in Amazon DynamoDB and Amazon S3 so versions can be compared.
AWS says UAEF is licensed under Apache 2.0 and is available in the awslabs/uaef GitHub repository. The report comes from AWS's Machine Learning Blog, so the framework's capabilities are as described by AWS.
Written by AI from the articles below · updated Nov 11, 11:22 AM ET
Check the sources:
Article timeline
The articles in this story. Times are ET.
- AWS Machine Learning BlogOfficialAWS releases UAEF, an open-source framework for evaluating AI agents across frameworks
AIAWS introduces the Universal Agent Evaluation Framework (UAEF), which uses adapters to convert traces from LangGraph, LangChain, Strands Agents, and Amazon Bedrock AgentCore into one common format. It scores them with 36 built-in metrics across 7 dimensions and stores results in Amazon DynamoDB and Amazon S3 for version comparison. UAEF is open source under the Apache 2.0 license in the awslabs/uaef GitHub repository.
Heat Trend
- Current comparable heat
- 6
- Peak comparable heat
- 10Nov 11, 12:00 PM ET
- Change in past 24 hours
- –
The trend compares only continuously observed participants, so its scope may be smaller than the current heat total. Hover or tap for hourly heat; use arrow keys with a keyboard.