rcourtman 88d419dd5b feat(ai): Add enriched context with historical trends and predictions ... Phase 1 of Pulse AI differentiation: - Create internal/ai/context package with types, trends, builder, formatter - Implement linear regression for trend computation (growing/declining/stable/volatile) - Add storage capacity predictions (predicts days until 90% and 100%) - Wire MetricsHistory from monitor to patrol service - Update patrol to use buildEnrichedContext instead of basic summary - Update patrol prompt to reference trend indicators and predictions This gives the AI awareness of historical patterns, enabling it to: - Identify resources with concerning growth rates - Predict capacity exhaustion before it happens - Distinguish between stable high usage vs growing problems - Provide more actionable, time-aware insights All tests passing. Falls back to basic summary if metrics history unavailable.		2025-12-12 09:45:57 +00:00
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config_override.go	feat(ai): Add enriched context with historical trends and predictions	2025-12-12 09:45:57 +00:00
config_override_test.go	Add unit tests for discovery config_override utility functions	2025-11-30 00:50:07 +00:00
service.go	Fix P1/P2 infrastructure issues: panic recovery and optimizations	2025-11-07 09:55:22 +00:00
service_test.go	Fix discovery test Prometheus metric collision	2025-11-11 23:34:49 +00:00