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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envdetect	feat(ai): Add enriched context with historical trends and predictions	2025-12-12 09:45:57 +00:00
discovery.go	feat(ai): Add enriched context with historical trends and predictions	2025-12-12 09:45:57 +00:00
discovery_test.go	Add unit tests for cloneProfile and clonePhase functions in discovery	2025-12-01 01:51:54 +00:00
probe_test_helpers.go	feat: unify and improve Proxmox discovery/scanning architecture	2025-10-21 13:09:41 +00:00