Why Use This This skill provides specialized capabilities for jeremylongshore's codebase.
Use Cases Developing new features in the jeremylongshore repository Refactoring existing code to follow jeremylongshore standards Understanding and working with jeremylongshore's codebase structure
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Updated At Jan 6, 2026, 06:42 AM
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License MIT
---
name: retellai-deploy-integration
description: |
Deploy Retell AI integrations to Vercel, Fly.io, and Cloud Run platforms.
Use when deploying Retell AI-powered applications to production,
configuring platform-specific secrets, or setting up deployment pipelines.
Trigger with phrases like "deploy retellai", "retellai Vercel",
"retellai production deploy", "retellai Cloud Run", "retellai Fly.io".
allowed-tools: Read, Write, Edit, Bash(vercel:*), Bash(fly:*), Bash(gcloud:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <[email protected] >
---
# Retell AI Deploy Integration
## Overview
Deploy Retell AI-powered applications to popular platforms with proper secrets management.
## Prerequisites
- Retell AI API keys for production environment
- Platform CLI installed (vercel, fly, or gcloud)
- Application code ready for deployment
- Environment variables documented
## Vercel Deployment
### Environment Setup
```bash
# Add Retell AI secrets to Vercel
vercel secrets add retellai_api_key sk_live_***
vercel secrets add retellai_webhook_secret whsec_***
# Link to project
vercel link
# Deploy preview
vercel
# Deploy production
vercel --prod
```
### vercel.json Configuration
```json
{
"env": {
"RETELLAI_API_KEY": "@retellai_api_key"
},
"functions": {
"api/**/*.ts": {
"maxDuration": 30
}
}
}
```
## Fly.io Deployment
### fly.toml
```toml
app = "my-retellai-app"
primary_region = "iad"
[env]
NODE_ENV = "production"
[http_service]
internal_port = 3000
force_https = true
auto_stop_machines = true
auto_start_machines = true
```
### Secrets
```bash
# Set Retell AI secrets
fly secrets set RETELLAI_API_KEY=sk_live_***
fly secrets set RETELLAI_WEBHOOK_SECRET=whsec_***
# Deploy
fly deploy
```
## Google Cloud Run
### Dockerfile
```dockerfile
FROM node:20-slim
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
CMD ["npm", "start"]
```
### Deploy Script
```bash
#!/bin/bash
# deploy-cloud-run.sh
PROJECT_ID="${GOOGLE_CLOUD_PROJECT}"
SERVICE_NAME="retellai-service"
REGION="us-central1"
# Build and push image
gcloud builds submit --tag gcr.io/$PROJECT_ID/$SERVICE_NAME
# Deploy to Cloud Run
gcloud run deploy $SERVICE_NAME \
--image gcr.io/$PROJECT_ID/$SERVICE_NAME \
--region $REGION \
--platform managed \
--allow-unauthenticated \
--set-secrets=RETELLAI_API_KEY=retellai-api-key:latest
```
## Environment Configuration Pattern
```typescript
// config/retellai.ts
interface Retell AIConfig {
apiKey: string;
environment: 'development' | 'staging' | 'production';
webhookSecret?: string;
}
export function getRetell AIConfig(): Retell AIConfig {
const env = process.env.NODE_ENV || 'development';
return {
apiKey: process.env.RETELLAI_API_KEY!,
environment: env as Retell AIConfig['environment'],
webhookSecret: process.env.RETELLAI_WEBHOOK_SECRET,
};
}
```
## Health Check Endpoint
```typescript
// api/health.ts
export async function GET() {
const retellaiStatus = await checkRetell AIConnection();
return Response.json({
status: retellaiStatus ? 'healthy' : 'degraded',
services: {
retellai: retellaiStatus,
},
timestamp: new Date().toISOString(),
});
}
```
## Instructions
### Step 1: Choose Deployment Platform
Select the platform that best fits your infrastructure needs and follow the platform-specific guide below.
### Step 2: Configure Secrets
Store Retell AI API keys securely using the platform's secrets management.
### Step 3: Deploy Application
Use the platform CLI to deploy your application with Retell AI integration.
### Step 4: Verify Health
Test the health check endpoint to confirm Retell AI connectivity.
## Output
- Application deployed to production
- Retell AI secrets securely configured
- Health check endpoint functional
- Environment-specific configuration in place
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Secret not found | Missing configuration | Add secret via platform CLI |
| Deploy timeout | Large build | Increase build timeout |
| Health check fails | Wrong API key | Verify environment variable |
| Cold start issues | No warm-up | Configure minimum instances |
## Examples
### Quick Deploy Script
```bash
#!/bin/bash
# Platform-agnostic deploy helper
case "$1" in
vercel)
vercel secrets add retellai_api_key "$RETELLAI_API_KEY"
vercel --prod
;;
fly)
fly secrets set RETELLAI_API_KEY="$RETELLAI_API_KEY"
fly deploy
;;
esac
```
## Resources
- [Vercel Documentation](https://vercel.com/docs)
- [Fly.io Documentation](https://fly.io/docs)
- [Cloud Run Documentation](https://cloud.google.com/run/docs)
- [Retell AI Deploy Guide](https://docs.retellai.com/deploy)
## Next Steps
For webhook handling, see `retellai-webhooks-events`.