AWS details how Amazon Bedrock AgentCore evaluates production agents

AWS Machine Learning explains how Amazon Bedrock AgentCore evaluates whether production agents actually meet business goals, not just whether they run. The post recommends starting with business outcomes, then mapping them to observable behaviors and the right trace-level or session-level evaluators. It says AgentCore can combine built-in evaluators with DeepEval and AutoEval in on-demand, online, and batch modes. Users can also call the ListEvaluators API to see built-in, third-party, and custom evaluators.