FastAPI now supports Python's `typing.Annotated` feature, allowing metadata to be attached to type hints.

Expert perspectiveSebastián RamírezMay 4

A future version of FastAPI will allow Pydantic V2 to parse JSON directly from bytes in Rust, which is expected to significantly boost performance.

Expert perspectiveSebastián RamírezMay 4

Sebastián Ramírez plans to add a feature to FastAPI allowing users to define custom serialization for responses, enabling formats like XML, YAML, MessagePack, or Protocol Buffers.

Expert perspectiveSebastián RamírezMay 4

Sebastián Ramírez expects that FastAPI users will experience a 10-20x performance improvement from upgrading to Pydantic V2.

Expert perspectiveSebastián RamírezMay 4

For most use cases, the migration from Pydantic V1 to V2 for FastAPI users is expected to be almost transparent.

Expert perspectiveSebastián RamírezMay 4

Python's ability to access type hints at runtime provides a significant advantage over languages like TypeScript or Java for building libraries like Pydantic and FastAPI.

Expert perspectiveSebastián RamírezMay 4

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