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>
3.3 KiB
3.3 KiB