Why architecture matters here

Agent eval fails without offline + online + trace comparison. Architecture matters because gates + replay + judge together turn eval into a reliable practice.

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The architecture: every piece explained

The top strip is the pipeline. Task suite product-representative. Offline eval batch. Online eval A/B. Trace comparison candidate vs prod.

The middle row is quality. Judge model scores. Golden set must not regress. Metrics quality + latency + cost. Regression gate in CI.

The lower rows are ops. Trace replay deterministic. User feedback loops. Ops — governance + versioning + audit.

Java agent eval — offline + online + trace comparison + regressionprove agents work before + after shipTask suiteproduct-representativeOffline evalbatchedOnline evalA/B in prodTrace comparisoncandidate vs prodJudge modelscore outputsGolden setmust not regressMetricsquality + latency + costRegression gateCI blocks badTrace replaydeterministic testingUser feedbackloop backOps — governance + versioning + auditscoreprotectmeasuregatereplayclosecloseoperateoperate
Java agent evaluation pipeline.
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End-to-end flow

End-to-end: PR updates agent. Offline eval runs 500 tasks; judge scores. Golden set unchanged. Latency + cost measured. Regression gate in CI passes. Deployed as 5% shadow. Online eval compares trace outcomes. Wins on quality; 100% rollout.