Deploy Fireflies.ai integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Fireflies.ai-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy fireflies", "fireflies Vercel", "fireflies production deploy", "fireflies Cloud Run", "fireflies Fly.io".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: fireflies-deploy-integration description: | Deploy Fireflies.ai integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying Fireflies.ai-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy fireflies", "fireflies Vercel", "fireflies production deploy", "fireflies Cloud Run", "fireflies 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
Fireflies.ai Deploy Integration
Overview
Deploy Fireflies.ai-powered applications to popular platforms with proper secrets management.
Prerequisites
- Fireflies.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 Fireflies.ai secrets to Vercel
vercel secrets add fireflies_api_key sk_live_***
vercel secrets add fireflies_webhook_secret whsec_***
# Link to project
vercel link
# Deploy preview
vercel
# Deploy production
vercel --prod
vercel.json Configuration
{
"env": {
"FIREFLIES_API_KEY": "@fireflies_api_key"
},
"functions": {
"api/**/*.ts": {
"maxDuration": 30
}
}
}
Fly.io Deployment
fly.toml
app = "my-fireflies-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 Fireflies.ai secrets
fly secrets set FIREFLIES_API_KEY=sk_live_***
fly secrets set FIREFLIES_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="${GOOGLE_CLOUD_PROJECT}"
SERVICE_NAME="fireflies-service"
REGION="us-central1"
# Build and push image
gcloud builds submit --tag gcr.io/$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=FIREFLIES_API_KEY=fireflies-api-key:latest
Environment Configuration Pattern
// config/fireflies.ts
interface Fireflies.aiConfig {
apiKey: string;
environment: 'development' | 'staging' | 'production';
webhookSecret?: string;
}
export function getFireflies.aiConfig(): Fireflies.aiConfig {
const env = process.env.NODE_ENV || 'development';
return {
apiKey: process.env.FIREFLIES_API_KEY!,
environment: env as Fireflies.aiConfig['environment'],
webhookSecret: process.env.FIREFLIES_WEBHOOK_SECRET,
};
}
Health Check Endpoint
// api/health.ts
export async function GET() {
const firefliesStatus = await checkFireflies.aiConnection();
return Response.json({
status: firefliesStatus ? 'healthy' : 'degraded',
services: {
fireflies: firefliesStatus,
},
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 Fireflies.ai API keys securely using the platform's secrets management.
Step 3: Deploy Application
Use the platform CLI to deploy your application with Fireflies.ai integration.
Step 4: Verify Health
Test the health check endpoint to confirm Fireflies.ai connectivity.
Output
- Application deployed to production
- Fireflies.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 "$1" in
vercel)
vercel secrets add fireflies_api_key "$FIREFLIES_API_KEY"
vercel --prod
;;
fly)
fly secrets set FIREFLIES_API_KEY="$FIREFLIES_API_KEY"
fly deploy
;;
esac
Resources
Next Steps
For webhook handling, see fireflies-webhooks-events.
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