Amazon Web Services has released the Universal Agent Evaluation Framework (UAEF), a free, open-source tool that checks whether changes to an AI agent improve or worsen it. It converts agent records from LangGraph, LangChain, Strands Agents and Amazon Bedrock AgentCore into one format, then scores agents on 36 measures across seven areas.
Amazon Web Services has released a free, open-source tool that checks whether changes to an AI agent made it better or worse. The Universal Agent Evaluation Framework, known as UAEF, was announced in a blog post Wednesday.
Developers building AI agents often rely on different software kits, including LangGraph, LangChain, Strands Agents and Amazon Bedrock AgentCore. Each one records an agent's steps in its own format, which means teams frequently have to rebuild their testing whenever they switch tools.
How does UAEF test AI agents?
UAEF addresses that problem by converting those records into one shared format. It then scores the agent on 36 measures across seven areas. Those include how well the agent picks and uses tools, the quality of its answers, safety, speed, and how it handles long conversations or teamwork with other agents. Some scores are calculated directly. Others are judged by a second AI model running on Amazon Bedrock.
Can teams use UAEF to catch regressions?
Teams can save each test run and compare it with an earlier one. If a score drops by more than 5%, the tool flags it as a regression and rates it as minor, moderate or severe. The comparison is meant to catch problems introduced by a new prompt or a new model before an agent goes live.
AWS says 12 organizations in telecoms, healthcare and financial services have used UAEF to compare agent versions before release.
Should UAEF be used for security decisions?
The tool itself is free, but there is a catch. Scoring with AI judges and saving results both rely on AWS services. AWS also cautions that UAEF should not be used to make security decisions.
The release comes as reliability remains a persistent challenge for agent developers. AWS has said that almost 90% of the prototypes Amazon built two years ago never shipped. Startups such as Raindrop have raised money to catch agent failures in production.
Security is a separate concern. Researchers have shown that a single prompt could take over agents built on AgentCore. AWS disputed that finding.
Questo articolo è stato scritto con l'assistenza dell'IA.
News Factory APP - notizie agentiche per potenziare il tuo SEO e AEO.