---

name: gamma-deploy-integration description: | Deploy Gamma-integrated applications to production environments. Use when deploying to Vercel, AWS, GCP, or other cloud platforms with proper secret management and configuration. Trigger with phrases like "gamma deploy", "gamma production", "gamma vercel", "gamma AWS", "gamma cloud deployment". allowed-tools: Read, Write, Edit, Bash(vercel:), Bash(aws:), Bash(gcloud:*) version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Gamma Deploy Integration

Overview

Deploy Gamma-integrated applications to various cloud platforms with proper configuration and secret management.

Prerequisites

• Completed CI integration
• Cloud platform account (Vercel, AWS, or GCP)
• Production Gamma API key

Instructions

Vercel Deployment

Step 1: Configure Vercel Project

Copy# Install Vercel CLI
npm i -g vercel

# Link project
vercel link

# Set environment variable
vercel env add GAMMA_API_KEY production

Step 2: Create vercel.json

Copy{
  "framework": "nextjs",
  "buildCommand": "npm run build",
  "env": {
    "GAMMA_API_KEY": "@gamma_api_key"
  },
  "functions": {
    "api/**/*.ts": {
      "maxDuration": 30
    }
  }
}

Step 3: Deploy

Copy# Preview deployment
vercel

# Production deployment
vercel --prod

AWS Lambda Deployment

Step 1: Store Secret in AWS Secrets Manager

Copyaws secretsmanager create-secret \
  --name gamma/api-key \
  --secret-string '{"apiKey":"your-gamma-api-key"}'

Step 2: Lambda Configuration

Copy// lambda/gamma-handler.ts
import { SecretsManager } from '@aws-sdk/client-secrets-manager';
import { GammaClient } from '@gamma/sdk';

const secretsManager = new SecretsManager({ region: 'us-east-1' });
let gamma: GammaClient;

async function getGammaClient() {
  if (!gamma) {
    const secret = await secretsManager.getSecretValue({
      SecretId: 'gamma/api-key',
    });
    const { apiKey } = JSON.parse(secret.SecretString!);
    gamma = new GammaClient({ apiKey });
  }
  return gamma;
}

export async function handler(event: any) {
  const client = await getGammaClient();
  const result = await client.presentations.create({
    title: event.title,
    prompt: event.prompt,
  });
  return { statusCode: 200, body: JSON.stringify(result) };
}

Step 3: SAM Template

Copy# template.yaml
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31

Resources:
  GammaFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: dist/gamma-handler.handler
      Runtime: nodejs20.x
      Timeout: 30
      MemorySize: 256
      Policies:
        - SecretsManagerReadWrite
      Environment:
        Variables:
          NODE_ENV: production

Google Cloud Run Deployment

Step 1: Store Secret

Copyecho -n "your-gamma-api-key" | \
  gcloud secrets create gamma-api-key --data-file=-

Step 2: Dockerfile

CopyFROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY dist ./dist
CMD ["node", "dist/server.js"]

Step 3: Deploy

Copygcloud run deploy gamma-service \
  --image gcr.io/$PROJECT_ID/gamma-service \
  --platform managed \
  --region us-central1 \
  --set-secrets GAMMA_API_KEY=gamma-api-key:latest \
  --allow-unauthenticated

GitHub Actions Deployment

Copy# .github/workflows/deploy.yml
name: Deploy

on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Build
        run: npm ci && npm run build

      - name: Deploy to Vercel
        uses: amondnet/vercel-action@v25
        with:
          vercel-token: ${{ secrets.VERCEL_TOKEN }}
          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}
          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }}
          vercel-args: '--prod'

Output

• Production deployment on chosen platform
• Secrets securely stored
• Environment variables configured
• Automated deployment pipeline

Error Handling

Resources

• Vercel Documentation
• AWS Lambda Documentation
• Google Cloud Run

Next Steps

Proceed to gamma-webhooks-events for event handling.