Execute Retell AI production deployment checklist and rollback procedures. Use when deploying Retell AI integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "retellai production", "deploy retellai", "retellai go-live", "retellai launch checklist".
Scanned 9/10/2026
Install to Claude Code
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---
name: retellai-prod-checklist
description: |
Execute Retell AI production deployment checklist and rollback procedures.
Use when deploying Retell AI integrations to production, preparing for launch,
or implementing go-live procedures.
Trigger with phrases like "retellai production", "deploy retellai",
"retellai go-live", "retellai launch checklist".
allowed-tools: Read, Bash(kubectl:*), Bash(curl:*), Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
compatible-with: claude-code, codex, openclaw
---
# Retell AI Production Checklist
## Overview
Complete checklist for deploying Retell 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
- [ ] 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
### Step 2: Code Quality Verification
- [ ] All tests passing (`npm test`)
- [ ] No hardcoded credentials
- [ ] Error handling covers all Retell AI error types
- [ ] Rate limiting/backoff implemented
- [ ] Logging is production-appropriate
### Step 3: Infrastructure Setup
- [ ] Health check endpoint includes Retell AI connectivity
- [ ] Monitoring/alerting configured
- [ ] Circuit breaker pattern implemented
- [ ] Graceful degradation configured
### Step 4: Documentation Requirements
- [ ] Incident runbook created
- [ ] Key rotation procedure documented
- [ ] Rollback procedure documented
- [ ] On-call escalation path defined
### Step 5: Deploy with Gradual Rollout
```bash
set -euo pipefail
# Pre-flight checks
curl -f https://staging.example.com/health
curl -s https://status.retellai.com
# Gradual rollout - start with canary (10%)
kubectl apply -f k8s/production.yaml
kubectl set image deployment/retellai-integration app=image:new --record
kubectl rollout pause deployment/retellai-integration
# Monitor canary traffic for 10 minutes
sleep 600 # 600: timeout: 10 minutes
# Check error rates and latency before continuing
# If healthy, continue rollout to 50%
kubectl rollout resume deployment/retellai-integration
kubectl rollout pause deployment/retellai-integration
sleep 300 # 300: timeout: 5 minutes
# Complete rollout to 100%
kubectl rollout resume deployment/retellai-integration
kubectl rollout status deployment/retellai-integration
```
## Output
- Deployed Retell AI integration
- Health checks passing
- Monitoring active
- Rollback procedure documented
## Error Handling
| Alert | Condition | Severity |
|-------|-----------|----------|
| API Down | 5xx errors > 10/min | P1 |
| High Latency | p99 > 5000ms | P2 |
| Rate Limited | 429 errors > 5/min | P2 |
| Auth Failures | 401/403 errors > 0 | P1 |
## Examples
### Health Check Implementation
```typescript
async function healthCheck(): Promise<{ status: string; retellai: any }> {
const start = Date.now();
try {
await retellaiClient.ping();
return { status: 'healthy', retellai: { connected: true, latencyMs: Date.now() - start } };
} catch (error) {
return { status: 'degraded', retellai: { connected: false, latencyMs: Date.now() - start } };
}
}
```
### Immediate Rollback
```bash
set -euo pipefail
kubectl rollout undo deployment/retellai-integration
kubectl rollout status deployment/retellai-integration
```
## Resources
- [Retell AI Status](https://status.retellai.com)
- [Retell AI Support](https://docs.retellai.com/support)
## Next Steps
For version upgrades, see `retellai-upgrade-migration`.Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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