Support Python 3.13

[musicinmybrain]

Initial Checks

• [X] I have searched Google & GitHub for similar requests and couldn't find anything
• [X] I have read and followed the docs and still think this feature is missing

Description

Please consider supporting Python 3.13 soon – or at least commenting on a timeline for doing so.

• Python 3.13 is now at 3.13.0b2, with release candidate 1 scheduled for the end of July and the final release scheduled for the beginning of October.
• Fedora now has Python 3.13 as the system Python in Rawhide, and Fedora 41 will release with Python 3.13 in October.
• PyO3 is planning to release 0.22 soon with “official” Python 3.13 support.

---

In Fedora, we’ve managed to rebuild the python-pydantic-core package with Python 3.13, and all of its tests pass.

However:

• Test collection errors due to the DeprecationWarning from https://github.com/pydantic/pydantic/issues/9613.
• With pytest -W ignore::DeprecationWarning, test collection errors due to TypeError: typing.Annotated cannot be used with issubclass(), similar to the previous reports https://github.com/pydantic/pydantic/issues/8534 and https://github.com/pydantic/pydantic/issues/7942.
• With python -m pytest -W 'ignore::DeprecationWarning' -v --ignore=tests/test_type_adapter.py, test collection succeeds, but there are many errors. A large portion appear to be the same TypeError: typing.Annotated cannot be used with issubclass(), but it appears there are also some unrelated assertion failures.

It’s currently possible to test Pydantic in a Python 3.13 virtualenv with:

$ gh repo clone pydantic/pydantic
$ cd pydantic
$ python3.13 -m venv _e
$ . _e/bin/activate
(_e) $ UNSAFE_PYO3_SKIP_VERSION_CHECK=1 pip install -e .
(_e) $ pip install cloudpickle coverage[toml] dirty-equals eval-type-backport pytest pytest-mock pytest-pretty pytest-examples faker pytest-benchmark pytest-codspeed packaging
(_e) $ python -m pytest

Affected Components

• [ ] Compatibility between releases
• [ ] Data validation/parsing
• [ ] Data serialization - .model_dump() and .model_dump_json()
• [ ] JSON Schema
• [ ] Dataclasses
• [ ] Model Config
• [ ] Field Types - adding or changing a particular data type
• [ ] Function validation decorator
• [ ] Generic Models
• [ ] Other Model behaviour - model_construct(), pickling, private attributes, ORM mode
• [ ] Plugins and integration with other tools - mypy, FastAPI, python-devtools, Hypothesis, VS Code, PyCharm, etc.

[sydney-runkle]

@musicinmybrain,

Thanks for opening this feature request. Support for 3.13 is definitely something we want to do explicitly soon. I'll chat with the team re timeline and update here afterwards.

[sydney-runkle]

Definitely something we're prioritizing.

I'll pull this in once we get the new version of pyo3 into pydantic-core with 3.13 support. Hoping to have this included in v2.8 around the end of the month assuming we don't hit any major blockers.