Compose Python Stack

Turn a product goal into a supported stack, explain the consequential choices, and generate it with Copier.

Workflow

1. Read docs/reference/presets.md and docs/reference/components.md. When exact compatibility matters, also read catalog/generated/catalog.json.
2. Ask only about choices that change the architecture. Prefer one of the documented presets when it is close; otherwise select custom and compose the layers.
3. Keep model and embedding providers independent. Select at most one provider for each data role. Do not add AI to a simple library, Typer CLI, or FastAPI/Flask API unless requested.
4. Select one deployment target. Docker is the portable base for deployed projects; select either no IaC, Pulumi, or Terraform where the chosen target supports it.
5. Generate into a new directory with copier copy gh:leynier/python-template <destination>, answering interactively. For automation, pass explicit values with repeated -d key=value arguments.
6. Enter the generated directory and run uv sync --all-groups, uv run pytest, uv run ruff check ., and uv run ruff format --check ..
7. Report the selected layers, generated entry points, required environment variables, and any cloud resources the user must configure.

Guardrails

• Treat catalog compatibility rules as authoritative; do not force an invalid combination.
• Preserve the first-class python-library, typer-cli, and fastapi-api paths.
• Prefer Python 3.12 or newer and uv for environment and command execution.
• Never deploy, create paid resources, or write credentials unless the user explicitly authorizes that action.