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rcourtman
d9d798084e
Create internal/ai/patterns package: 1. Pattern Detector (detector.go): - Records historical events (high memory, OOM, restarts, etc.) - Detects recurring failure patterns - Calculates average interval between occurrences - Computes confidence based on pattern consistency - Predicts when failures will occur again - Persists to ai_patterns.json 2. Event types tracked: - high_memory, high_cpu, disk_full - oom, restart, unresponsive - backup_failed 3. Integration: - Wire PatternDetector into router startup - Add to AI context in buildEnrichedContext - FormatForContext generates failure predictions Example AI context now includes: 'OOM events typically occurs every ~10 days (next expected in ~3 days)' This enables proactive alerts before problems recur. All tests passing.