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jeremylongshore

retellai-prod-checklist

by jeremylongshore

Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.

1,042🍴 135📅 Jan 23, 2026

SKILL.md


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

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

# 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
# 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

# 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

AlertConditionSeverity
API Down5xx errors > 10/minP1
High Latencyp99 > 5000msP2
Rate Limited429 errors > 5/minP2
Auth Failures401/403 errors > 0P1

Examples

Health Check Implementation

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

kubectl rollout undo deployment/retellai-integration
kubectl rollout status deployment/retellai-integration

Resources

Next Steps

For version upgrades, see retellai-upgrade-migration.

Score

Total Score

85/100

Based on repository quality metrics

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