Mistral AI Production Checklist

Mistral AI Production Checklist

Overview

Complete checklist for deploying Mistral AI integrations to production.

Prerequisites

• Staging environment tested and verified
• Production API keys available
• Deployment pipeline configured
• Monitoring and alerting ready

Instructions

Step 1: Pre-Deployment Configuration

Secrets & Configuration

• Production API key in secure vault (AWS Secrets Manager, GCP Secret Manager, etc.)
• Environment variables set in deployment platform
• API key validated with test request
• Fallback configuration ready (if Mistral unavailable)

Verify API Key:

# Test production key
curl -H "Authorization: Bearer ${MISTRAL_API_KEY_PROD}" \
  https://api.mistral.ai/​v1/​models | jq '.data[].id'

Step 2: Code Quality Verification

Code Review

• All tests passing (npm test)
• No hardcoded credentials (grep -r "MISTRAL_API_KEY" src/)
• Error handling covers all error types (401, 429, 500, etc.)
• Rate limiting/​backoff implemented
• Logging is production-appropriate (no sensitive data)
• TypeScript types are strict

Run Verification:

# Full test suite
npm test

# Type checking
npm run typecheck

# Check for hardcoded secrets
grep -r "sk-" src/ --include="*.ts" --include="*.js"

# Lint
npm run lint

Step 3: Infrastructure Setup

Health Checks

• Health check endpoint includes Mistral connectivity test
• Readiness probe configured
• Liveness probe configured

// /​health endpoint
app.get('/​health', async (req, res) => {
  const mistralHealth = await checkMistralHealth();

  res.status(mistralHealth.healthy ? 200 : 503).json({
    status: mistralHealth.healthy ? 'healthy' : 'degraded',
    services: {
      mistral: mistralHealth,
    },
    timestamp: new Date().toISOString(),
  });
});

async function checkMistralHealth() {
  const start = Date.now();
  try {
    await client.models.list();
    return { healthy: true, latencyMs: Date.now() - start };
  } catch (error) {
    return { healthy: false, latencyMs: Date.now() - start, error: 'API unreachable' };
  }
}

Monitoring & Alerting

• Prometheus/​Datadog metrics configured
• Alert rules defined (error rate, latency, rate limits)
• Dashboard created
• On-call rotation scheduled

Step 4: Resilience Patterns

Circuit Breaker

• Circuit breaker pattern implemented
• Graceful degradation configured
• Fallback responses defined

class MistralCircuitBreaker {
  private failures = 0;
  private lastFailure?: Date;
  private isOpen = false;

  private readonly failureThreshold = 5;
  private readonly resetTimeout = 60000; // 1 minute

  async call<T>(fn: () => Promise<T>, fallback?: () => T): Promise<T> {
    // Check if circuit is open
    if (this.isOpen) {
      if (Date.now() - (this.lastFailure?.getTime() || 0) > this.resetTimeout) {
        this.isOpen = false;
        this.failures = 0;
      } else {
        if (fallback) return fallback();
        throw new Error('Mistral service temporarily unavailable');
      }
    }

    try {
      const result = await fn();
      this.failures = 0;
      return result;
    } catch (error: any) {
      this.failures++;
      this.lastFailure = new Date();

      if (this.failures >= this.failureThreshold) {
        this.isOpen = true;
        console.error('Mistral circuit breaker opened');
      }

      if (fallback && this.isOpen) return fallback();
      throw error;
    }
  }
}

Step 5: Documentation Requirements

• Incident runbook created
• Key rotation procedure documented
• Rollback procedure documented
• On-call escalation path defined
• API usage limits documented

Step 6: Deploy with Gradual Rollout

# Pre-flight checks
echo "=== Pre-flight Checks ==="

# 1. Check Mistral status
echo -n "Mistral API: "
curl -s -o /​dev/​null -w "%{http_code}" \
  -H "Authorization: Bearer ${MISTRAL_API_KEY_PROD}" \
  https://api.mistral.ai/​v1/​models
echo ""

# 2. Check staging health
echo -n "Staging health: "
curl -sf https://staging.yourapp.com/​health | jq -r '.status'

# 3. Verify tests pass
npm test

# Gradual rollout
echo "=== Starting Gradual Rollout ==="

# Deploy to canary (10% traffic)
kubectl set image deployment/​mistral-app app=image:new --record
kubectl rollout pause deployment/​mistral-app

# Monitor for 10 minutes
echo "Monitoring canary for 10 minutes..."
sleep 600

# Check error rates
kubectl logs -l app=mistral-app --since=10m | grep -c "error" || echo "0 errors"

# If healthy, continue to 50%
kubectl rollout resume deployment/​mistral-app
kubectl rollout pause deployment/​mistral-app

sleep 300

# Complete rollout to 100%
kubectl rollout resume deployment/​mistral-app
kubectl rollout status deployment/​mistral-app

Step 7: Post-Deployment Verification

# Verify deployment
echo "=== Post-Deployment Verification ==="

# Health check
curl -sf https://yourapp.com/​health | jq

# Test chat endpoint
curl -X POST https://yourapp.com/​api/​chat \
  -H "Content-Type: application/​json" \
  -d '{"messages": [{"role": "user", "content": "Hello"}]}' | jq

# Check logs for errors
kubectl logs -l app=mistral-app --since=5m | grep -i error

Output

• Deployed Mistral AI integration
• Health checks passing
• Monitoring active
• Rollback procedure documented

Alert Configuration

Rollback Procedure

# Immediate rollback
echo "=== Emergency Rollback ==="

# 1. Rollback deployment
kubectl rollout undo deployment/​mistral-app

# 2. Verify rollback
kubectl rollout status deployment/​mistral-app

# 3. Check health
curl -sf https://yourapp.com/​health | jq

# 4. Notify team
# Send alert to Slack/​PagerDuty

Resources

• Mistral AI Status
• Mistral AI Console

Next Steps

For version upgrades, see mistral-upgrade-migration.