feat(scak): port production Self-Correcting Agent Kernel from internal#65
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imran-siddique merged 1 commit intomainfrom Mar 7, 2026
Merged
feat(scak): port production Self-Correcting Agent Kernel from internal#65imran-siddique merged 1 commit intomainfrom
imran-siddique merged 1 commit intomainfrom
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…l repo New files (6 modules): - completeness_auditor.py (227L): Teacher model integration for soft failure detection - patcher.py (574L): Patch composition engine with classified patch application - semantic_analyzer.py (307L): NLP-based refusal detection beyond regex - semantic_purge.py (337L): Patch lifecycle management with decay classification - nudge_mechanism.py (253L): Post-give-up nudge injection to encourage retry - teacher.py (76L): Cognitive glitch diagnosis using o1-preview Upgraded files (7): - kernel.py (+441L): Dual-loop architecture (Runtime Loop 1 + Offline Loop 2) - analyzer.py (+350L): CognitiveGlitch diagnosis with evidence-based patterns - outcome_analyzer.py (+218L): Semantic analysis + tool telemetry correlation - triage.py (+108L): Smart routing to sync (JIT) or async (batch) paths - detector.py (+75L): Enhanced FailureQueue with custom handler registration - memory_manager.py (+38L): Model version tracking and upgrade purge - __init__.py (+18L): Re-exports for all new modules Tests: - Added test_dual_loop.py (463L) for dual-loop architecture coverage - All 119 tests pass Closes #57 Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
Dependency Review✅ No vulnerabilities or license issues or OpenSSF Scorecard issues found.Scanned FilesNone |
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Summary
Ports the production-grade SCAK (Self-Correcting Agent Kernel) from the internal agent-governance repository to the public OSS toolkit. This is the largest module upgrade so far, adding the Dual-Loop Architecture (Runtime + Offline loops) with 6 entirely new modules.
New Modules (6)
Upgraded Modules (7)
Tests
Architecture: Dual-Loop Self-Correction
Loop 1 (Runtime): Immediate failure handling — detect, classify, patch, retry
Loop 2 (Offline): Quality improvement — semantic purge, completeness audits, model upgrades
This replaces the simple retry + exponential backoff with smart triage that routes failures to sync (JIT) or async (batch) processing based on criticality, tool context, and cognitive failure patterns.
Closes #57