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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. |
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