This starter kit lets you run Vanna AI through your own Custom GPT by deploying a lightweight backend that forwards requests to the Vanna API.

• main.py — Flask app to relay requests to Vanna
• requirements.txt — Python dependencies
• Procfile — For Railway/Heroku deployment
• openapi.yaml — Upload to your Custom GPT
• .env.example — Template for environment variables
• README.md — You’re reading it 🙂

Create a .env file by copying the example:

cp .env.example .env

Then edit .env and add your Vanna API key:

VANNA_API_KEY=your-api-key-here

gcloud auth login

gcloud run deploy vanna-api \
  --source . \
  --entry-point app \
  --runtime python311 \
  --port 8080 \
  --allow-unauthenticated \
  --region us-central1 \
  --set-env-vars VANNA_API_KEY=your-api-key-here

1. Go to https://railway.app and log in
2. Create a new project and deploy this repo
3. Set an environment variable: VANNA_API_KEY=your-api-key-here
4. Railway will auto-detect the Flask app from Procfile

heroku login

heroku create vanna-api

heroku config:set VANNA_API_KEY=your-api-key-here

git push heroku main

1. Go to https://chat.openai.com/gpts/new
2. In the Actions tab, upload the openapi.yaml file
3. Update the servers: section in openapi.yaml with your deployed endpoint, e.g.:

servers:
  - url: https://your-cloudrun-or-railway-url-here

4. Save and start chatting!

Reach out to your Vanna contact or support@vanna.ai for assistance.