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Sat, October 1704:48AgentAgentsAgents guide

AWS releases a nine-stage agent evaluation framework built on Amazon Bedrock AgentCore

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Decision Brief

What changedAWS's sales operations team has open-sourced a production-grade agent evaluation framework built on Amazon Bedrock AgentCore to catch silent quality regressions across the agent lifecycle.
Why it mattersThe framework turns evaluation from a final QA step into the agent's own operating system, replacing traditional monitoring with a continuous quality loop so every release and weekly data refresh in multi-agent systems has traceable regression coverage.
Who should careAgent builders
Affected stackNo specific stack identified
Source confidenceHigh · Official release / blog / repo

The framework spans nine stages: a foundation phase defining business metrics and success criteria, then experimentation, CI merge, CD gates, canary release, adversarial testing, drift detection, real-time pulse, and an automated feedback loop. AWS's internal multi-agent system runs evaluations at three levels simultaneously: tool-level checks for capabilities like customer disambiguation and chart retrieval, agent-level end-to-end evaluation of the Performance Insights Agent, Customer Insights Agent, and Data Insights Agent, and multi-agent-level evaluation of orchestration paths, routing correctness, and synthesis accuracy across agent boundaries. Each level has its own golden sets, evaluators, and promotion criteria.

Summary basis: full article readCompiled from the source scope noted above; the original remains authoritative.

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