generated from coulomb/repo-seed
Closes the loop. metrics.py: fleet metrics (infra-overhead share, error rate, schema-thrash, token percentiles, success) + persisted baseline trend. effect.py: before/after per-pattern effectiveness with an improved verdict per metric. measure entrypoint with trend + --since effectiveness + JSON. Recorded pre-fix baseline: 27 sessions, overhead median 11.7%, error rate 0.96, schema-thrash 8. 13 new tests; suite 139/139. Capture->Detect->Curate->Distribute->Measure complete. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2 lines
323 B
JSON
2 lines
323 B
JSON
{"captured_at": "2026-06-07T13:30:14Z", "error_rate": 0.963, "infra_overhead_share_median": 0.117, "infra_overhead_share_p90": 0.261, "label": "phase4-baseline (pre-fixes)", "n_sessions": 27, "recurring_error_occurrences": 505, "schema_thrash_sessions": 8, "success_rate": 1.0, "tokens_p50": 250725, "tokens_p90": 1423966}
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