Awesome Reviewers

Treat Vercel deployment as a configuration contract: declare dependency/version/runtime settings explicitly and align your code layout with Vercel’s discovery (or override it explicitly).

Apply this standard:

1) Pick the correct dependency manifest/lock strategy

• For new projects, use pyproject.toml as the primary manifest.
• Use the lockfile that matches it (uv.lock / pylock.toml for pyproject.toml projects). Don’t mix Pipfile lockfiles as “the” lock for pyproject.toml projects.

2) Declare supported Python versions

• Only target Vercel-supported versions (3.12/3.13/3.14 for new projects).
• If you need an exact minor runtime, set .python-version (e.g., 3.13).
• If you need compatibility, set project.requires-python with a bounded range (e.g., >=3.12,<3.15).

3) Ensure entrypoint discovery always works

• Prefer conventional filenames and shallow directories (e.g., app.py, main.py, asgi.py in the root or src/, app/, api/).
• Export exactly one top-level callable that Vercel can find: app, application, or handler.
• If your layout is nonstandard, explicitly override with [tool.vercel].entrypoint.

4) Match framework “shape” to dependencies

• FastAPI (ASGI) must include an ASGI server dependency (commonly uvicorn); Flask (WSGI) should not rely on ASGI server wiring.

5) Don’t make discovery depend on missing local env/config

• If your settings/imports/symbols depend on environment variables or other config, ensure those values are defined in the Vercel project so the build/runtime environment can resolve them.

Example pyproject.toml wiring:

[project]
requires-python = ">=3.12,<3.15"

[tool.vercel]
entrypoint = "api/main.py"

If Vercel reports entrypoint/callable not found, fix it by updating (a) the entrypoint path override, (b) conventional filename/path placement, and (c) top-level callable exports—then ensure any required env/settings are configured in Vercel.

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