FastAPI

Python REST API with FastAPI.

PythonAPIPostgres

Get the AI prompt

What you can build with it

Data and ML endpoints for analysts
APIs around Python scripts you already have
Automation back ends

What's inside

FastAPI app with routers
Config module
Interactive API docs

Before you deploy

Make sure your app reads the PORT environment variable. The platform sets PORT=8080.
Add a managed Postgres with elula init --database; the connection string is injected as DATABASE_URL.

Source

github.com/vercel/vercel/tree/main/examples/fastapi

Start with your AI

Paste this into Claude Code, Cursor, Codex or another AI coding assistant. It copies the template into your own private repo, deploys it to Elula and gives you the live URL.

Start a new project from the FastAPI template at https://github.com/vercel/vercel/tree/main/examples/fastapi and deploy it to Elula: copy the folder into a new private GitHub repo, install the Elula CLI if needed, then run elula init --database and elula deploy --no-wait. A deploy takes a few minutes: run elula status --wait 60 until it says Live, and tell me which step it's on each time. Run elula docs if anything is unclear. Give me the live URL.

View on GitHub

Deploy on Elula

Prefer the terminal? Start your own private copy and ship it with the CLI.

npx degit vercel/vercel/examples/fastapi#main my-fastapi
cd my-fastapi && git init && git add -A && git commit -m "Start from the FastAPI template"
gh repo create my-fastapi --private --source . --push
elula init --database
elula deploy

Deploy from the dashboard Install the CLI

Clone the repo

Grab just this template's folder and run it locally.

git clone --depth 1 --filter=blob:none --sparse -b main https://github.com/vercel/vercel.git
cd vercel && git sparse-checkout set examples/fastapi
cd examples/fastapi