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…metrics Closes all remaining architectural audit recommendations. 1. ai/embedding_synthesizer.py (NEW — v2.0 audit item vinta#6) - Dynamic polarity detection via cosine similarity between concept embeddings - Replaces static POLARITY_MAP with semantic distance (threshold 0.55) - Intensity labels: profound/strong/noticeable/subtle based on distance - Concept embedding cache to avoid re-embedding within a session - Works with any school — no manual polarity pairs needed 2. agents/devops/health_agent.py (NEW) - HealthAgent: synchronous self-diagnostic of security/storage/ai/synthesis - Thread-isolated asyncio.run() to avoid event loop conflicts - Returns {"status": "healthy"|"degraded", "checks": {...}, "version": "1.2.0"} - Implements async execute() for orchestrator compatibility 3. monitoring/metrics_collector.py (NEW) - Thread-safe rolling-window MetricsCollector - timer() context manager, record_ms(), increment() counter - snapshot() with avg/min/max/p95 per metric name - Module-level singleton: from monitoring.metrics_collector import metrics 4. game/leela_psychological.py - Instrument analyze_turn: records total latency, per-school call counts, consent_granted/consent_denied counters 5. web/feedback_api.py - GET /api/health — liveness/readiness probe (200 healthy, 503 degraded) - GET /api/metrics — performance metrics snapshot 6. tests/test_embedding_synthesizer.py (NEW — 17 tests) - 6 EmbeddingSynthesizer tests (polarity detection, cache, alignment) - 6 MetricsCollector tests (counters, timers, rolling window, p95, reset) - 5 HealthAgent tests (all-ok, latency, async execute, unknown action) Test results: 53/53 passed https://claude.ai/code/session_01Nmtk7oaHGcmm56rjXeMa3Z
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