deploy-fullstack-vercel

Deploy Fullstack to Vercel

Deploy a full-stack app with a React/Vite frontend and Python/FastAPI backend to Vercel as a serverless demo, OR deploy a Vellum-built app from the library. No auth required - meant for demos, portfolio pieces, and quick showcases.

When to Use

• User says "deploy this to Vercel", "host this", "publish this"
• User has a project with a frontend + backend they want live
• User wants to deploy a Vellum app that uses backend features (data store, custom routes)
• User wants a quick demo deployment (no persistent database needed)

Authentication

Vellum App Publishing

For publishing Vellum apps from the library, use the built-in publish_page tool. This is the preferred path — it uses the stored Vercel API token (vercel/api_token) via the brokered publish flow without exposing the token to shell commands.

The stored Vercel API token is reserved for brokered publish_page and unpublish_page actions only. Do not pass it to bash, curl, Vercel CLI commands, or proxy credential injection. Do not use network_mode: "proxied" with credential_ids for Vercel deployments.

Custom Full-Stack Deployments

For custom projects that need Vercel deployment (not Vellum app publishing):

1. Install the Vercel CLI with bun install -g vercel (not npm — npm is not available in the sandbox).
2. Use vercel login to authenticate interactively (opens browser for the user).
3. If the user does not want to use CLI auth, stop and ask them for an approved deployment path. Do not extract, inject, or shell with the stored API token.

Deploying a Vellum App

When the user asks to deploy a Vellum app from their library (from /workspace/data/apps/<app-name>/):

1. Detect Vellum Bridge Usage

Check the compiled app for Vellum bridge API usage:

grep -l "window\.vellum\.\|vellum\.fetch\|vellum\.data\|vellum\.sendAction" /workspace/data/apps/<app-name>/dist/*.js /workspace/data/apps/<app-name>/dist/*.html 2>/dev/null

If found, the app depends on the Vellum bridge and needs a shim to work standalone.

2. Create Vellum Bridge Shim

The app uses window.vellum.* APIs that are normally injected by the Vellum viewer. For standalone deployment, create a vellum-shim.js file in the app's dist/ directory that provides browser-native replacements.

Before writing the shim, read the app's compiled JavaScript (dist/main.js or equivalent) to understand exactly which window.vellum.* APIs the app calls and what data shapes it expects. The shim must match the app's actual usage — don't guess at signatures.

Common APIs to shim (implement only what the app actually uses):

Structure: Wrap everything in an IIFE that guards against the real bridge: (function() { if (window.vellum) return; ... })();

3. Inject the Shim into index.html

Add a <script src="vellum-shim.js"></script> tag in dist/index.html BEFORE any <script type="module"> tags:

sed -i 's|<script type="module"|<script src="vellum-shim.js"></script>\n<script type="module"|' dist/index.html

4. Deploy the App

cd /workspace/data/apps/<app-name>/dist

Create a vercel.json in the dist directory:

{
  "rewrites": [
    {
      "source": "/((?!main\\.js|main\\.css|vellum-shim\\.js|assets/).*)",
      "destination": "/index.html"
    }
  ]
}

Then deploy using the publish_page tool (preferred). For Vellum apps, use the built-in app publish flow rather than raw Vercel API calls from shell.

Deploying a Custom Full-Stack Project

1. Build the Frontend

cd <project>/frontend
bun install
bunx vite build

This produces static files in frontend/dist/.

2. Create the Vercel Deploy Directory

<project>/vercel-deploy/
├── api/
│   ├── index.py          ← FastAPI app wrapper (entry point)
│   ├── database.py        ← DB config (use /tmp for SQLite)
│   ├── models.py
│   ├── schemas.py
│   ├── seed_data.py       ← Must seed ALL required data (users, etc.)
│   ├── routers/
│   │   ├── __init__.py
│   │   └── *.py
│   └── requirements.txt   ← Python deps (fastapi, sqlalchemy, pydantic)
├── index.html             ← From frontend/dist/
├── assets/                ← From frontend/dist/assets/
└── vercel.json

Key steps:

mkdir -p <project>/vercel-deploy/api

# Copy frontend build output to deploy root
cp -r <project>/frontend/dist/* <project>/vercel-deploy/

# Copy backend files into api/
cp <project>/backend/models.py <project>/vercel-deploy/api/
cp <project>/backend/database.py <project>/vercel-deploy/api/
cp <project>/backend/schemas.py <project>/vercel-deploy/api/
cp <project>/backend/seed_data.py <project>/vercel-deploy/api/
cp -r <project>/backend/routers <project>/vercel-deploy/api/
cp <project>/backend/requirements.txt <project>/vercel-deploy/api/

3. Create api/index.py (Serverless Entry Point)

import sys, os
sys.path.insert(0, os.path.dirname(__file__))

from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from database import engine, Base, SessionLocal
from seed_data import seed_exercises, seed_default_user  # all seed functions
from routers import users, exercises, workouts, schedule, progress

# Create tables and seed on EVERY cold start
Base.metadata.create_all(bind=engine)
db = SessionLocal()
try:
    seed_exercises(db)
    seed_default_user(db)  # IMPORTANT: seed all required data
finally:
    db.close()

app = FastAPI(title="MyApp")

app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

app.include_router(users.router)
# ... other routers

@app.get("/api/health")
def health_check():
    return {"status": "ok"}

4. Update database.py for Vercel

Critical: Vercel serverless functions can only write to /tmp. Update the SQLite path:

SQLALCHEMY_DATABASE_URL = "sqlite:////tmp/app.db"

5. Seed ALL Required Data

This is the #1 gotcha. Since /tmp is ephemeral, every cold start gets a fresh database. If your frontend assumes certain data exists (like user ID 1), you MUST seed it:

def seed_default_user(db: Session):
    count = db.query(UserProfile).count()
    if count > 0:
        return
    user = UserProfile(name="Demo User", ...)
    db.add(user)
    db.commit()

6. Create vercel.json

{
  "rewrites": [
    { "source": "/api/(.*)", "destination": "/api/index.py" },
    { "source": "/((?!assets/).*)", "destination": "/index.html" }
  ]
}

This routes:

• /api/* → Python serverless function
• Everything else → React SPA (index.html)

7. Deploy

cd <project>/vercel-deploy
vercel --yes --prod

8. Verify

curl -s <deployed-url>/api/health
# Should return: {"status":"ok"}

Gotchas & Limitations

Vercel CLI Quick Reference

bun install -g vercel        # Install
vercel login                 # Authenticate (opens browser for user-mediated auth)
vercel --yes --prod          # Deploy to production (skip prompts)
vercel logs --project <name> # Check function logs