Before you begin, ensure you have completed the system requirements setup.
- macOS & Linux
- Windows
1
Clone the repository
Open your terminal and navigate to your desired project directory:Clone the GenAI Launchpad repository:
2
Configure environment variables
Navigate to the project directory:Copy the example environment files:These files serve different runtimes:
3
Start Docker containers
Navigate to the Docker directory and start the containers:This command will:
- Build all Docker containers
- Start all services via Docker Compose
4
Set up Python environment
Return to the project root and sync the environment:
uv sync creates and manages the .venv, installs the pinned Python version if needed, and installs the Launchpad package in editable mode.5
Run database migrations
Navigate to the package directory where Create a new migration (you’ll be prompted for a description):Apply the migration:
alembic.ini and the migration scripts live:6
Optional: enable Supabase services
Supabase Studio, Auth, Realtime, Storage, and the Supabase gateway are excluded by default. To enable them, uncomment
docker-compose.supabase.yml in docker/docker-compose.yml, then restart the Docker stack.If you run Python locally against the Docker database, update the root .env database user from postgres to postgres.<POOLER_TENANT_ID>, for example postgres.launchpad with the default docker/.env settings. Supavisor requires the tenant-qualified username.When enabled, Studio is available at http://localhost:8000 with the dashboard credentials from docker/.env.Exercise workflows from the playground
Theplayground/ directory contains one script per reference workflow. Each script loads a matching JSON fixture from the workflow’s request_examples/ folder, runs the workflow in-process, and prints the final TaskContext. They are the fastest way to iterate on a workflow without running the full API + Celery stack.
Run any of them with
uv: