feat(engine): log per-pass judgement frequency (judged vs cached)#29
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"Feels like a lot" — make it visible. Each pass now logs `adjudication pass entries=N
judged=K cached=M` (judged = fresh model calls = cache misses; cached = reused verdicts)
+ a `verdicts{verdict="judged_this_pass"}` gauge. Steady state should be judged≈0; a
sustained nonzero means verdict-fingerprint churn driving model load.
Also fix a stale comment: judging is ONCE PER ENTRY (holistic over all objectives it
reaches), not "once per path" — the comment predated the per-entry refactor.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01VtjoJttCvBY4dzCoE4f9vP
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Surfaces how often the engine calls the model: per pass it logs
adjudication pass entries=N judged=K cached=M+ ajudged_this_passgauge (judged = cache misses = model calls; cached = reused). Steady state should be judged≈0; sustained nonzero = fingerprint churn. Also fixes a stale comment — judging is once per entry (holistic), not 'once per path'. 🤖