Speak Prod Checklist
DevOps & Securityspeak-prod-checklistSpeak Prod Checklist is an Agent Skill for devops & security published in the Dicklesworthstone/pi_agent_rust repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Execute Speak production deployment checklist and rollback procedures. Use when deploying Speak integrations to production, preparing for launch, or implementing go-live procedures for language learning features. Trigger with phrases like "speak production", "deploy speak", "speak go-live", "speak launch checklist".
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
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- Copy and paste the prompt below.
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Inspect the Agent Skill at https://github.com/Dicklesworthstone/pi_agent_rust/blob/HEAD/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/speak-pack/skills/speak-prod-checklist/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/speak-prod-checklist, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
Speak Production Checklist
Overview
Complete checklist for deploying Speak language learning integrations to production.
Prerequisites
- Staging environment tested and verified
- Production API keys available
- Deployment pipeline configured
- Monitoring and alerting ready
- Audio infrastructure tested
Instructions
Step 1: Pre-Deployment Configuration
- Production API keys in secure vault
- Environment variables set in deployment platform
- API key scopes are minimal (least privilege)
- Webhook endpoints configured with HTTPS
- Webhook secrets stored securely
- Audio storage configured with encryption
Step 2: Code Quality Verification
- All tests passing (
npm test) - No hardcoded credentials
- Error handling covers all Speak error types
- Rate limiting/backoff implemented
- Logging is production-appropriate (no PII)
- Audio handling follows privacy guidelines
Step 3: Language Learning Feature Checklist
- All target languages tested
- Speech recognition works in all browsers
- Pronunciation scoring accurate
- AI tutor responses appropriate
- Session timeouts handled gracefully
- Progress tracking persists correctly
Step 4: Infrastructure Setup
- Health check endpoint includes Speak connectivity
- Monitoring/alerting configured for:
- API latency
- Speech recognition success rate
- Session completion rate
- Error rates by type
- Circuit breaker pattern implemented
- Graceful degradation configured
- CDN configured for audio assets
Step 5: Documentation Requirements
- Incident runbook created
- Key rotation procedure documented
- Rollback procedure documented
- On-call escalation path defined
- User support FAQ for common issues
Step 6: Deploy with Gradual Rollout
# Pre-flight checks
echo "=== Speak Production Pre-flight ==="
# Check staging health
curl -f https://staging.example.com/health | jq '.services.speak'
# Check Speak service status
curl -s https://status.speak.com/api/status | jq '.status'
# Verify production credentials work
curl -X POST https://api.speak.com/v1/health \
-H "Authorization: Bearer ${SPEAK_API_KEY_PROD}" \
-H "X-App-ID: ${SPEAK_APP_ID_PROD}" | jq
echo "=== Starting Deployment ==="
# Gradual rollout - start with canary (10%)
kubectl apply -f k8s/production.yaml
kubectl set image deployment/speak-integration app=image:new --record
kubectl rollout pause deployment/speak-integration
echo "Canary deployed. Monitoring for 10 minutes..."
sleep 600
# Check canary metrics
echo "Checking error rates..."
curl -s "localhost:9090/api/v1/query?query=rate(speak_errors_total[5m])" | jq
# Check lesson completion rate
curl -s "localhost:9090/api/v1/query?query=speak_lesson_completion_rate[5m]" | jq
# If healthy, continue rollout to 50%
echo "Canary healthy. Continuing to 50%..."
kubectl rollout resume deployment/speak-integration
kubectl rollout pause deployment/speak-integration
sleep 300
# Complete rollout to 100%
echo "50% healthy. Completing rollout..."
kubectl rollout resume deployment/speak-integration
kubectl rollout status deployment/speak-integration
echo "=== Deployment Complete ==="
Health Check Implementation
// api/health.ts
interface SpeakHealthStatus {
connected: boolean;
latencyMs: number;
speechRecognition: boolean;
tutorAvailable: boolean;
}
async function checkSpeakHealth(): Promise<SpeakHealthStatus> {
const start = Date.now();
try {
// Test basic connectivity
await speakClient.health.check();
// Test speech recognition (with sample audio)
const speechOk = await testSpeechRecognition();
// Test tutor availability
const tutorOk = await testTutorConnection();
return {
connected: true,
latencyMs: Date.now() - start,
speechRecognition: speechOk,
tutorAvailable: tutorOk,
};
} catch (error) {
return {
connected: false,
latencyMs: Date.now() - start,
speechRecognition: false,
tutorAvailable: false,
};
}
}
app.get('/health', async (req, res) => {
const speakStatus = await checkSpeakHealth();
const isHealthy = speakStatus.connected &&
speakStatus.speechRecognition &&
speakStatus.tutorAvailable;
res.status(isHealthy ? 200 : 503).json({
status: isHealthy ? 'healthy' : 'degraded',
services: {
speak: speakStatus,
},
timestamp: new Date().toISOString(),
});
});
Rollback Procedure
#!/bin/bash
# rollback-speak.sh
echo "=== Emergency Rollback ==="
# Immediate rollback
kubectl rollout undo deployment/speak-integration
kubectl rollout status deployment/speak-integration
# Verify rollback
curl -f https://api.yourapp.com/health | jq
# If Speak completely down, enable fallback mode
if [ "$1" == "--fallback" ]; then
kubectl set env deployment/speak-integration SPEAK_FALLBACK_MODE=true
echo "Fallback mode enabled - offline lessons available"
fi
echo "=== Rollback Complete ==="
Alert Configuration
| Alert | Condition | Severity |
|---|---|---|
| Speak API Down | Health check fails 3x | P1 |
| High Error Rate | Error rate > 5% | P2 |
| Speech Recognition Failing | Success rate < 90% | P2 |
| High Latency | p95 > 3000ms | P2 |
| Auth Failures | 401/403 errors > 0 | P1 |
| Session Abandonment | Abandon rate > 20% | P3 |
Production Monitoring Dashboard
# grafana-speak-dashboard.yaml
panels:
- title: "Lesson Sessions"
query: "sum(speak_sessions_active)"
- title: "Speech Recognition Success Rate"
query: "rate(speak_speech_success_total[5m]) / rate(speak_speech_total[5m]) * 100"
- title: "Average Pronunciation Score"
query: "avg(speak_pronunciation_score)"
- title: "API Latency (p95)"
query: "histogram_quantile(0.95, rate(speak_api_latency_bucket[5m]))"
- title: "Error Rate by Type"
query: "sum by (error_type) (rate(speak_errors_total[5m]))"
- title: "Lesson Completion Rate"
query: "rate(speak_lessons_completed[5m]) / rate(speak_lessons_started[5m]) * 100"
Output
- Deployed Speak integration
- Health checks passing
- Monitoring active
- Rollback procedure documented and tested
- Alerting configured
Error Handling
| Issue | Cause | Solution |
|---|---|---|
| Health check fails | Speak service down | Enable fallback mode |
| High latency | Audio processing slow | Scale audio workers |
| Session failures | API key issues | Verify credentials |
| Low completion rate | UX issues | Review user feedback |
Examples
Smoke Test Suite
async function productionSmokeTest(): Promise<TestResults> {
const tests = [
{ name: 'API Health', fn: testApiHealth },
{ name: 'Speech Recognition', fn: testSpeechRecognition },
{ name: 'AI Tutor', fn: testTutorResponse },
{ name: 'Session Lifecycle', fn: testSessionLifecycle },
{ name: 'Pronunciation Scoring', fn: testPronunciationScoring },
];
const results = [];
for (const test of tests) {
try {
await test.fn();
results.push({ name: test.name, passed: true });
} catch (error) {
results.push({ name: test.name, passed: false, error });
}
}
return results;
}
Resources
Next Steps
For version upgrades, see speak-upgrade-migration.