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".
Scanned 9/1/2026
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---
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
```bash
# 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
```json
{
"env": {
"FIREFLIES_API_KEY": "@fireflies_api_key"
},
"functions": {
"api/**/*.ts": {
"maxDuration": 30
}
}
}
```
## Fly.io Deployment
### fly.toml
```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
```bash
# 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
```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="${GOOGLE_CLOUD_PROJECT}"
SERVICE_NAME="fireflies-service"
REGION="us-central1"
# Build and push image
gcloud builds submit --tag gcr.io/$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
```typescript
// 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
```typescript
// 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
```bash
#!/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
- [Vercel Documentation](https://vercel.com/docs)
- [Fly.io Documentation](https://fly.io/docs)
- [Cloud Run Documentation](https://cloud.google.com/run/docs)
- [Fireflies.ai Deploy Guide](https://docs.fireflies.com/deploy)
## Next Steps
For webhook handling, see `fireflies-webhooks-events`.Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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