Jeremylongshore claude code plugins plus skills exa deploy integration 1.0.0
Deploy Exa integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Exa-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy exa", "exa Vercel", "exa production deploy", "exa Cloud Run", "exa Fly.io".From its SKILL.md
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SKILL.md
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Exa Deploy Integration
Overview
Deploy Exa-powered applications to popular platforms with proper secrets management.
Prerequisites
- Exa 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 Exa secrets to Vercel
vercel secrets add exa_api_key sk_live_***
vercel secrets add exa_webhook_secret whsec_***
# Link to project
vercel link
# Deploy preview
vercel
# Deploy production
vercel --prod
vercel.json Configuration
{
"env": {
"EXA_API_KEY": "@exa_api_key"
},
"functions": {
"api/**/*.ts": {
"maxDuration": 30
}
}
}
Fly.io Deployment
fly.toml
app = "my-exa-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 Exa secrets
fly secrets set EXA_API_KEY=sk_live_***
fly secrets set EXA_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="${GOOGLE_CLOUD_PROJECT}"
SERVICE_NAME="exa-service"
REGION="us-central1"
# Build and push image
gcloud builds submit --tag gcr.io/$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=EXA_API_KEY=exa-api-key:latest
Environment Configuration Pattern
// config/exa.ts
interface ExaConfig {
apiKey: string;
environment: 'development' | 'staging' | 'production';
webhookSecret?: string;
}
export function getExaConfig(): ExaConfig {
const env = process.env.NODE_ENV || 'development';
return {
apiKey: process.env.EXA_API_KEY!,
environment: env as ExaConfig['environment'],
webhookSecret: process.env.EXA_WEBHOOK_SECRET,
};
}
Health Check Endpoint
// api/health.ts
export async function GET() {
const exaStatus = await checkExaConnection();
return Response.json({
status: exaStatus ? 'healthy' : 'degraded',
services: {
exa: exaStatus,
},
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 Exa API keys securely using the platform's secrets management.
Step 3: Deploy Application
Use the platform CLI to deploy your application with Exa integration.
Step 4: Verify Health
Test the health check endpoint to confirm Exa connectivity.
Output
- Application deployed to production
- Exa 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 "$1" in
vercel)
vercel secrets add exa_api_key "$EXA_API_KEY"
vercel --prod
;;
fly)
fly secrets set EXA_API_KEY="$EXA_API_KEY"
fly deploy
;;
esac
Resources
Next Steps
For webhook handling, see exa-webhooks-events.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.