Guides
Going to Production

Going to Production

A comprehensive checklist for deploying your Avatarium integration to production.

⚠️

Don't skip the checklist! Production issues are 10x harder to fix than pre-launch issues.

Pre-Launch Checklist

Configuration

  • API Key: Using live key (av_live_*), not test key
  • Environment Variables: All secrets in secure environment vars
  • BYOK Keys: Production provider keys configured
  • Domain Allowlist: Production domain added in dashboard

Security

  • API Key Protection: Key not exposed in client-side code
  • CORS: Configured for production domain only
  • Rate Limiting: Client-side throttling implemented
  • Input Validation: User inputs sanitized

Performance

  • CDN: Avatar assets served from CDN
  • Lazy Loading: Avatar loads on demand, not on page load
  • Error Boundaries: Graceful degradation on failures
  • Streaming: Enabled for faster perceived response

Content

  • System Prompt: Finalized and tested
  • Knowledge Base: Uploaded and verified
  • Fallback Responses: Defined for unknown questions
  • Escalation Path: Human handoff configured

Monitoring

  • Analytics: Dashboard tracking enabled
  • Alerts: Budget alerts configured
  • Error Tracking: Logging in place
  • Uptime Monitoring: Health checks configured

Step-by-Step Launch Guide

Finalize Configuration

Ensure your production settings are locked in:

// production.config.ts
export const avatarConfig = {
  apiKey: process.env.AVATARIUM_API_KEY,
  avatarId: 'your-avatar-id',
  environment: 'production',
 
  // BYOK for cost control
  byokAI: {
    provider: 'groq',
    apiKey: process.env.GROQ_API_KEY,
    model: 'llama-3.1-70b-versatile',
  },
 
  // Production TTS
  byokTTS: {
    provider: 'google',
    apiKey: process.env.GOOGLE_TTS_KEY,
  },
 
  // Analytics enabled
  analytics: {
    enabled: true,
    trackConversations: true,
  },
};

Set Up Error Handling

Implement comprehensive error handling:

import { Avatar } from '@avatarium/react';
 
function ProductionAvatar() {
  const [error, setError] = useState<Error | null>(null);
 
  if (error) {
    return <FallbackChat error={error} />;
  }
 
  return (
    <ErrorBoundary
      fallback={<FallbackChat />}
      onError={(error) => {
        reportError(error); // Send to logging service
        setError(error);
      }}
    >
      <Avatar
        {...avatarConfig}
        onError={(error) => {
          if (error.code === 'RATE_LIMIT') {
            showMessage('Please wait a moment before sending more messages.');
          } else if (error.code === 'BUDGET_EXCEEDED') {
            showContactSupport();
          } else {
            setError(error);
          }
        }}
      />
    </ErrorBoundary>
  );
}

Configure Monitoring

Set up production monitoring:

// monitoring.ts
import { initAvatariumAnalytics } from '@avatarium/analytics';
 
initAvatariumAnalytics({
  // Send events to your analytics service
  onEvent: (event) => {
    analytics.track(event.name, event.properties);
  },
 
  // Monitor performance
  onPerformance: (metrics) => {
    if (metrics.responseTime > 5000) {
      alertOps('Slow avatar response', metrics);
    }
  },
 
  // Track errors
  onError: (error) => {
    errorTracking.capture(error);
  },
});

Test in Staging

Before going live, test in a staging environment:

# Deploy to staging
npm run deploy:staging
 
# Run automated tests
npm run test:e2e
 
# Smoke test manually
# - Load avatar
# - Send test messages
# - Verify responses
# - Check analytics

Staged Rollout

Roll out gradually to catch issues early:

// feature-flags.ts
const ROLLOUT_PERCENTAGE = 10; // Start with 10%
 
function shouldShowAvatar(userId: string): boolean {
  const hash = hashUserId(userId);
  return (hash % 100) < ROLLOUT_PERCENTAGE;
}
 
// In your component
function App() {
  const { userId } = useUser();
 
  if (!shouldShowAvatar(userId)) {
    return <LegacyChat />;
  }
 
  return <Avatar {...config} />;
}

Monitor Launch

Watch key metrics during the first 24-48 hours:

MetricTargetAlert If
Error rate<1%>5%
Response time<3s>10s
User satisfaction>4.0<3.0
Session completion>80%<50%

Scaling Considerations

Traffic Planning

Expected SessionsTierRecommendation
<1,000/monthFree or InfrastructureStart here
1,000-10,000/monthProfessionalGood balance
10,000-50,000/monthBusinessVolume discounts
50,000+/monthEnterpriseContact sales

Performance at Scale

// Implement connection pooling for high traffic
const avatarPool = createAvatarPool({
  maxConnections: 100,
  idleTimeout: 60000,
});
 
// Use session affinity for better caching
const session = await avatarPool.getSession(userId);

Global Deployment

For international users, consider:

RegionRecommendation
North AmericaPrimary Avatarium region
EuropeDeploy on edge nodes closest to your users
Asia-PacificConsider edge caching

Production Support

Support Escalation

Issue TypeResponse TimeContact
P1 - Service Down<1 hourEmergency support
P2 - Degraded<4 hoursPriority support
P3 - Bug<24 hoursStandard support
P4 - Question<48 hoursStandard support

Getting Help

Community & Email Support

Included in: Free, Infrastructure

Backup & Recovery

What to Back Up

ItemFrequencyStorage
System promptsEvery changeVersion control
Knowledge baseWeeklyCloud storage
ConfigurationEvery changeVersion control
Analytics exportMonthlyData warehouse

Disaster Recovery

// Implement graceful fallback
const FALLBACK_RESPONSES = {
  default: "I'm having trouble right now. Please try again or contact support.",
  maintenance: "We're doing scheduled maintenance. Back in 30 minutes!",
  overload: "High demand right now. Please wait a moment and try again.",
};
 
function handleAvatarFailure(error: Error): string {
  switch (error.code) {
    case 'SERVICE_UNAVAILABLE':
      return FALLBACK_RESPONSES.maintenance;
    case 'RATE_LIMIT':
      return FALLBACK_RESPONSES.overload;
    default:
      return FALLBACK_RESPONSES.default;
  }
}

Post-Launch Operations

Daily Monitoring

  • Check error rates
  • Review user feedback
  • Monitor response times
  • Verify budget status

Weekly Tasks

  • Review analytics dashboard
  • Analyze top unanswered questions
  • Update knowledge base if needed
  • Check for product updates

Monthly Tasks

  • Review and optimize system prompt
  • Analyze cost efficiency
  • Plan capacity for next month
  • Team review of performance

Compliance & Privacy

Data Handling

Data TypeRetentionNotes
Conversations30 days defaultConfigurable
Analytics90 daysAggregated
User PIIAs configuredSee privacy policy

Privacy Configuration

<Avatar
  privacy={{
    // Don't store conversation content
    storeConversations: false,
 
    // Anonymize analytics
    anonymizeAnalytics: true,
 
    // Require consent before starting
    requireConsent: true,
  }}
  onConsentRequired={(accept) => {
    showConsentModal(accept);
  }}
/>

Required Disclosures

Add to your privacy policy:

  • AI-powered chat assistant in use
  • Data processing by Avatarium
  • User data retention periods
  • User rights (access, deletion)

Launch Checklist Summary

Day Before Launch

  • All tests passing
  • Staging environment verified
  • Monitoring configured
  • Team briefed on launch plan
  • Rollback plan documented

Launch Day

  • Deploy to production
  • Enable for initial user segment
  • Monitor dashboards actively
  • Be ready for quick fixes
  • Communicate with stakeholders

Post-Launch

  • Verify metrics collection
  • Review initial user feedback
  • Address any immediate issues
  • Plan gradual rollout expansion
  • Document lessons learned

Next Steps