AWS explains how to evaluate AI agents with Bedrock AgentCore Evaluations
Overview
AWS Machine Learning Blog explains how to evaluate AI agents using Amazon Bedrock AgentCore Evaluations.
AWS says teams should start from business outcomes, map them to observable agent behaviors, and then choose evaluators that run at the trace or session level. The post covers built-in evaluators, DeepEval and AutoEval managed evaluators, and custom evaluators.
AWS says evaluators marked "needs ground truth" run only in batch evaluation, because live traffic has no reference answer or expected path.
Written by AI from the articles below · updated Nov 10, 6:04 PM ET
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- AWS Machine Learning BlogOfficialAWS explains how to evaluate AI agents with Amazon Bedrock AgentCore Evaluations
AIAWS says teams should start with business outcomes, then map them to observable agent behaviors and evaluators at the trace or session level. The post covers built-in evaluators, DeepEval and AutoEval managed evaluators, and custom evaluators on Amazon Bedrock AgentCore Evaluations. Evaluators marked "needs ground truth" run only in batch evaluation, because live traffic has no reference answer or expected path.
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