Amazon Web Services has outlined an approach for assessing automated agents when standard testing demands precise consistency. According to an AWS Machine Learning blog post, certain evaluation queries are inherently limited in scope and recur frequently during development. The post notes that "decision models answer exactly that kind of question" when developers encounter issues that are "narrow and repeatable, and decision models answer exactly that kind of question."
The publication walks through the integration of dedicated modeling tools into testing environments. It demonstrates "how to connect two decision models, Jev and Strands Decider, to Amazon Bedrock AgentCore Evaluations through code-based evaluators" to support automated testing. Furthermore, the guide details "how to validate a decision-model check before you gate a release on it," establishing validation protocols before deployments.