build-python-library

To build a pip-installable Python library, use a standards-based src layout with a pyproject.toml file that defines optional dependency groups for isolated integrations. This structure ensures reliable installation and clean public API exports.

Configuring type safety for a Python SDK requires including a py.typed marker and defining explicit public API exports. This approach ensures consumers can utilize static type checking while maintaining clear, lazily imported module boundaries.

Pytest verification for a Python middleware package is set up by enforcing test-per-module development with deterministic mocks. This validates each provider adapter through isolated tests and public API import checks.

Yes, you can build a Python library supporting both async and sync interfaces using proxy wrappers and provider-agnostic protocols. This allows framework adapters to handle multiple vector stores while keeping dependencies optional.

Yes, this Python package scaffolding approach validates installation and public API imports. It enforces installation checks and pytest validation to ensure the generated package is installable and its explicit exports function correctly.

You should use a src layout over a flat layout for a Python library when you need strict separation between package code and tests. This prevents implicit imports during pytest validation and ensures installation checks accurately reflect the packaged structure.