Why it matters

Untested agents drift silently. Understanding eval enables continuous quality.

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The architecture

Test case: input message + expected pattern (regex, semantic match, tool call sequence).

Runner: runs agent against test case, records actual behavior.

ADK eval flowTest casesinput + expectedEval runnerruns + scoresReportpass rate + failuresSemantic evaluation via LLM judge; standard for open-ended outputs
Eval pipeline.
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How it works end to end

Metrics: exact match, tool call correctness, semantic similarity (LLM judge), latency.

Trajectory: sequence of tool calls. Compare actual vs expected.

CI integration: run eval on every change; block merge on regressions.

Test set management: version control, split train/holdout.