groups:
  - name: model_performance
    interval: 1m
    rules:
      - alert: HighErrorRate
        expr: rate(http_requests_total{status=~"5.."}[5m]) > 0.05
        for: 5m
        labels:
          severity: critical
        annotations:
          summary: "High error rate detected"
          description: "Error rate is {{ $value }} requests/sec"

      - alert: ModelLatencyHigh
        expr: histogram_quantile(0.95, rate(prediction_duration_seconds_bucket[5m])) > 2
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Model prediction latency is high"
          description: "95th percentile latency is {{ $value }}s"

      - alert: DataDriftDetected
        expr: data_drift_detected == 1
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: "Data drift detected in model inputs"
          description: "Drift has been detected in feature distributions"