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

..

config_override_test.go

Add unit tests for discovery config_override utility functions

2025-11-30 00:50:07 +00:00

config_override.go

feat(ai): Add enriched context with historical trends and predictions

2025-12-12 09:45:57 +00:00

service_test.go

Fix discovery test Prometheus metric collision

2025-11-11 23:34:49 +00:00

service.go

Fix P1/P2 infrastructure issues: panic recovery and optimizations

2025-11-07 09:55:22 +00:00