MUSE 106-case sweep runner (DeepSeek-V4.1-Flash + kernelCAD) - #741
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Five workstreams on one branch (run → fix → experiment → adopt winners).
1. Sweep runner
Resumable parallel MUSE batch runner, OpenAI-compatible client,
generateCase/scoreCasesplit, judge wrapper, reports, spawn timeouts, all 106 tasks imported.2. Model quality gates
No-shape gate, interference repair hints, truncation continuations, compound-solid interference.
3. Prompt compaction — opt-in, not adopted
Presets + builder + retrieval; paired A/B showed compaction hurts (16/12/10 vs 16/58) — default stays
full.4. Tool-loop agent arm — adopted default
evaluate_script({code})iteration with provenance; paired A/B 39/58 vs 16/58 sandbox.--repair-loopkeeps the one-shot baseline.5. Best-verified artifact + design-intent protocol — adopted
d4e2fee9): submit fence → last clean-evaluated → last evaluated, with a one-shot fence-failure fallback.c5ab5530): verify the spec's must-have features before finishing (diagnostics-clean ≠ good design).Full-106 progression, same driver (DeepSeek-V4.1-Flash):
Final improved 2.1× over the repair loop; sandbox 96% vs bare's 55%; judged 80 vs 54. Remaining gap is per-case judge-rated design quality (paired mean 0.396 vs 0.562 on shared cases).
Verification
lint 0 errors, typecheck clean, targeted suites green, per-task reviews with fix cycles. Full tables + honest reads:
kernelCAD-private/docs/process/running-muse-benchmark.md§7. Artifacts gitignored.