fastapi-sdk

FastAPI project structure best practices involve configuring entry points in pyproject.toml, using routers for modular organization, and defining explicit return types to ensure maintainable APIs and consistent practices across your application.

Using Annotated for FastAPI dependencies involves declaring parameters and managing injections cleanly within function signatures. This modern typing pattern improves code readability and enforces strict type validation for API design.

Running a FastAPI development server locally involves using the FastAPI CLI. This skill provides guidance on CLI usage to initialize projects and start servers for both local development and production deployment workflows.

FastAPI works well with pyproject.toml for entrypoint configuration. Configuring entry points in pyproject.toml is a recommended best practice to ensure consistent application execution and maintainable project structure.

The best way to validate FastAPI code structure is by using Annotated for parameter declarations and enforcing strict typing patterns. This skill validates type hints and tooling integration to ensure maintainable APIs.

Use Annotated in FastAPI when you need clean dependency management and explicit parameter typing. It replaces older declaration patterns to validate code structure and ensure modern, maintainable API practices.