Implement ML Anomaly Detection

Introduce statistical anomaly detection for metrics via edge function, hooks, and UI components. Adds detection algorithms (z-score, moving average, rate of change), anomaly storage, auto-alerts, and dashboard rendering of detected anomalies with run-once trigger and scheduling guidance.

src/lib/queryKeys.ts

@@ -95,5 +95,6 @@ export const queryKeys = {
     correlatedAlerts: () => ['monitoring', 'correlated-alerts'] as const,
     incidents: (status?: string) => ['monitoring', 'incidents', status] as const,
     incidentDetails: (incidentId: string) => ['monitoring', 'incident-details', incidentId] as const,
+    anomalyDetections: () => ['monitoring', 'anomaly-detections'] as const,
   },
 } as const;