Incident Response for AI

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from dataclasses import dataclass
from datetime import datetime, timedelta
import numpy as np
from collections import deque

@dataclass
class AIOutputMetrics:
    timestamp: datetime
    latency_ms: float
    confidence_score: float
    output_length: int
    user_feedback: int  # -1, 0, 1

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import { MetricsClient } from './metrics';
import { AlertManager } from './alerts';

interface AIHealthMetrics {
  errorRate: number;
  latencyP99: number;
  confidenceP10: number;
  fallbackRate: number;
}

class AIIncidentDetector {
  private baseline: AIHealthMetrics;

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interface DegradedResponse {
  result: any;
  degraded: boolean;
  degradationReason?: string;
  userMessage?: string;
}

class GracefulAIService {
  async processRequest(input: string): Promise<DegradedResponse> {
    // Try primary AI provider
    try {
      const result = await this.primaryProvider.process(input);

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interface IncidentTimeline {
  detected: Date;
  acknowledged: Date;
  mitigated: Date;
  resolved: Date;
  events: TimelineEvent[];
}

class PostMortemCollector {
  async generatePostMortemData(incidentId: string): Promise<PostMortemReport> {
    const incident = await this.incidentStore.get(incidentId);