3 commits

Author	SHA1	Message	Date
rcourtman	c5c9bf4fb9	feat(ai): add real-time anomaly detection endpoint ... Add /api/ai/intelligence/anomalies endpoint that compares live metrics against learned baselines to surface deviations - all deterministic (no LLM required). Backend: - Add AnomalyReport struct with severity classification - Add CheckResourceAnomalies method to baseline store - Add HandleGetAnomalies API handler - Add GetStateProvider getter to AI service Frontend: - Add AnomalyReport and AnomaliesResponse types - Add getAnomalies API function - Add AnomalySeverity type This is the first step toward surfacing deterministic intelligence directly in the UI without requiring LLM interaction.	2025-12-21 10:52:54 +00:00
rcourtman	19c7cf6970	fix: Allow Host Agent thresholds to be set to 0 to disable alerting. Related to #864	2025-12-20 20:25:20 +00:00
rcourtman	7fc705ba07	feat(api): Add AI intelligence API endpoints ... Expose learned AI intelligence data via REST API: New endpoints: - GET /api/ai/intelligence/patterns - Detected failure patterns - GET /api/ai/intelligence/predictions - Failure predictions - GET /api/ai/intelligence/correlations - Resource correlations - GET /api/ai/intelligence/changes - Recent infrastructure changes - GET /api/ai/intelligence/baselines - Learned baselines All endpoints support ?resource_id filter for per-resource queries. Changes endpoint supports ?hours filter (default: 24). Backend additions: - ai_intelligence_handlers.go - Handler implementations - baseline.Store.GetAllBaselines() - Flat baseline export - patrol.GetChangeDetector() - Access change detector This enables frontend to display: - 'OOM expected in 3 days based on pattern' - 'When storage-1 is full, database VM restarts' - 'VM memory baseline: 60-75%' All tests passing.	2025-12-12 14:49:46 +00:00