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This skill provides specialized capabilities for jeremylongshore's codebase.
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- 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 11, 2026, 10:30 PM
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License MIT
---
name: vastai-deploy-integration
description: |
Deploy Vast.ai integrations to Vercel, Fly.io, and Cloud Run platforms.
Use when deploying Vast.ai-powered applications to production,
configuring platform-specific secrets, or setting up deployment pipelines.
Trigger with phrases like "deploy vastai", "vastai Vercel",
"vastai production deploy", "vastai Cloud Run", "vastai Fly.io".
allowed-tools: Read, Write, Edit, Bash(vercel:*), Bash(fly:*), Bash(gcloud:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
---
# Vast.ai Deploy Integration
## Overview
Deploy Vast.ai-powered applications to popular platforms with proper secrets management.
## Prerequisites
- Vast.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 Vast.ai secrets to Vercel
vercel secrets add vastai_api_key sk_live_***
vercel secrets add vastai_webhook_secret whsec_***
# Link to project
vercel link
# Deploy preview
vercel
# Deploy production
vercel --prod
```
### vercel.json Configuration
```json
{
"env": {
"VASTAI_API_KEY": "@vastai_api_key"
},
"functions": {
"api/**/*.ts": {
"maxDuration": 30
}
}
}
```
## Fly.io Deployment
### fly.toml
```toml
app = "my-vastai-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 Vast.ai secrets
fly secrets set VASTAI_API_KEY=sk_live_***
fly secrets set VASTAI_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="${GOOGLE_CLOUD_PROJECT}"
SERVICE_NAME="vastai-service"
REGION="us-central1"
# Build and push image
gcloud builds submit --tag gcr.io/$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=VASTAI_API_KEY=vastai-api-key:latest
```
## Environment Configuration Pattern
```typescript
// config/vastai.ts
interface Vast.aiConfig {
apiKey: string;
environment: 'development' | 'staging' | 'production';
webhookSecret?: string;
}
export function getVast.aiConfig(): Vast.aiConfig {
const env = process.env.NODE_ENV || 'development';
return {
apiKey: process.env.VASTAI_API_KEY!,
environment: env as Vast.aiConfig['environment'],
webhookSecret: process.env.VASTAI_WEBHOOK_SECRET,
};
}
```
## Health Check Endpoint
```typescript
// api/health.ts
export async function GET() {
const vastaiStatus = await checkVast.aiConnection();
return Response.json({
status: vastaiStatus ? 'healthy' : 'degraded',
services: {
vastai: vastaiStatus,
},
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 Vast.ai API keys securely using the platform's secrets management.
### Step 3: Deploy Application
Use the platform CLI to deploy your application with Vast.ai integration.
### Step 4: Verify Health
Test the health check endpoint to confirm Vast.ai connectivity.
## Output
- Application deployed to production
- Vast.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 "$1" in
vercel)
vercel secrets add vastai_api_key "$VASTAI_API_KEY"
vercel --prod
;;
fly)
fly secrets set VASTAI_API_KEY="$VASTAI_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)
- [Vast.ai Deploy Guide](https://docs.vastai.com/deploy)
## Next Steps
For webhook handling, see `vastai-webhooks-events`.