Agent skill
vastai-deploy-integration
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".
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/vastai-deploy-integration
SKILL.md
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
# 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
{
"env": {
"VASTAI_API_KEY": "@vastai_api_key"
},
"functions": {
"api/**/*.ts": {
"maxDuration": 30
}
}
}
Fly.io Deployment
fly.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
# 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
FROM node:20-slim
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
CMD ["npm", "start"]
Deploy Script
#!/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
// 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
// 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
#!/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
Next Steps
For webhook handling, see vastai-webhooks-events.
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
agent-ops-spec
Manage specification documents in .agent/specs/. Use when user provides requirements, acceptance criteria, or feature descriptions that need to be tracked and validated against implementation.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
Didn't find tool you were looking for?