| 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 | 1.13.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","gamma","deployment"] |
| compatibility | Designed for Claude Code, also compatible with Codex and OpenClaw |
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
set -euo pipefail
npm i -g vercel
vercel link
vercel env add GAMMA_API_KEY production
Step 2: Create vercel.json
{
"framework": "nextjs",
"buildCommand": "npm run build",
"env": {
"GAMMA_API_KEY": "@gamma_api_key"
},
"functions": {
"api/**/*.ts": {
"maxDuration": 30
}
}
}
Step 3: Deploy
vercel
vercel --prod
AWS Lambda Deployment
Step 1: Store Secret in AWS Secrets Manager
aws secretsmanager create-secret \
--name gamma/api-key \
--secret-string '{"apiKey":"your-gamma-api-key"}'
Step 2: Lambda Configuration
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) }; # HTTP 200 OK
}
Step 3: SAM Template
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
echo -n "your-gamma-api-key" | \
gcloud secrets create gamma-api-key --data-file=-
Step 2: Dockerfile
FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY dist ./dist
CMD ["node", "dist/server.js"]
Step 3: Deploy
set -euo pipefail
gcloud 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
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
| Error | Cause | Solution |
|---|
| Secret not found | Missing secret | Create secret in platform |
| Timeout | Function too slow | Increase timeout limit |
| Cold start | Lambda initialization | Use provisioned concurrency |
| Permission denied | IAM misconfigured | Update IAM policies |
Resources
Next Steps
Proceed to gamma-webhooks-events for event handling.