0e2edfdebf
Quick Win 1: Close Self-Report Feedback Loop [9/10 impact] - Added self-report-fixer.js module with automatic fix classification - Pattern-based detection for high-confidence fixes (e.g., prompt rubrics) - Deduplication and severity-based categorization of reports - Designed for extension into triage-self-feedback pipeline Quick Win 2: Activate Continuous Model Learning [8/10 impact] - Added model-learner.js with ModelPerformanceTracker class - Per-task-type tracking: success rate, latency, cost, token efficiency - Auto-demotion for models failing >50% on specific task types - A/B testing infrastructure for hypothesis testing on low-risk tasks - Failure analysis with pattern detection (e.g., timeouts, quality issues) - Storage: .sf/model-performance.json, .sf/model-failure-log.jsonl Quick Win 3: Automate Knowledge Injection [7/10 impact] - Added knowledge-injector.js with semantic similarity scoring - Integrated into auto-prompts.js for execute-task prompts - queryKnowledge already exists in context-store.js (60% done) - Enhanced with: semantic matching, confidence filtering, contradiction detection - Tracks knowledge usage for feedback loop Integration: - Modified auto-prompts.js to inject knowledge via knowledgeInjection variable - Added getKnowledgeInjection helper for graceful degradation - All new modules pass build check and are in dist/ Status: Core infrastructure in place; ready for integration into dispatch loop. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
22 lines
815 B
Docker
22 lines
815 B
Docker
# ──────────────────────────────────────────────
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# Runtime
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# Image: ghcr.io/singularity-ng/singularity-foundry
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# Used by: end users via docker run
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# ──────────────────────────────────────────────
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FROM node:24.15-slim AS runtime
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# Git is required for SF's git operations
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RUN apt-get update && apt-get install -y --no-install-recommends \
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git \
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libsecret-1-0 \
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&& rm -rf /var/lib/apt/lists/*
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# Install SF globally — version is controlled by the build arg
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ARG SF_VERSION=latest
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RUN npm install -g sf-run@${SF_VERSION}
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# Default working directory for user projects
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WORKDIR /workspace
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ENTRYPOINT ["sf"]
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CMD ["--help"]
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