release: 2.7.2

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "2.7.1"
+  ".": "2.7.2"
 }

CHANGELOG.md

@@ -1,5 +1,18 @@
 # Changelog
 
+## 2.7.2 (2025-11-10)
+
+Full Changelog: [v2.7.1...v2.7.2](https://github.com/openai/openai-python/compare/v2.7.1...v2.7.2)
+
+### Bug Fixes
+
+* compat with Python 3.14 ([15a7ec8](https://github.com/openai/openai-python/commit/15a7ec8a753d7f57d525fca60c547fd5331cb214))
+
+
+### Chores
+
+* **package:** drop Python 3.8 support ([afc14f2](https://github.com/openai/openai-python/commit/afc14f2e42e7a8174f2ff1a5672829b808a716bf))
+
 ## 2.7.1 (2025-11-04)
 
 Full Changelog: [v2.7.0...v2.7.1](https://github.com/openai/openai-python/compare/v2.7.0...v2.7.1)

README.md

@@ -3,7 +3,7 @@
 <!-- prettier-ignore -->
 [![PyPI version](https://img.shields.io/pypi/v/openai.svg?label=pypi%20(stable))](https://pypi.org/project/openai/)
 
-The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.8+
+The OpenAI Python library provides convenient access to the OpenAI REST API from any Python 3.9+
 application. The library includes type definitions for all request params and response fields,
 and offers both synchronous and asynchronous clients powered by [httpx](https://github.com/encode/httpx).
 
@@ -854,7 +854,7 @@ print(openai.__version__)
 
 ## Requirements
 
-Python 3.8 or higher.
+Python 3.9 or higher.
 
 ## Contributing
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "openai"
-version = "2.7.1"
+version = "2.7.2"
 description = "The official Python library for the openai API"
 dynamic = ["readme"]
 license = "Apache-2.0"
@@ -17,11 +17,10 @@ dependencies = [
     "tqdm > 4",
     "jiter>=0.10.0, <1",
 ]
-requires-python = ">= 3.8"
+requires-python = ">= 3.9"
 classifiers = [
   "Typing :: Typed",
   "Intended Audience :: Developers",
-  "Programming Language :: Python :: 3.8",
   "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
@@ -159,7 +158,7 @@ format-command="ruff format --stdin-filename {filename}"
 # there are a couple of flags that are still disabled by
 # default in strict mode as they are experimental and niche.
 typeCheckingMode = "strict"
-pythonVersion = "3.8"
+pythonVersion = "3.9"
 
 exclude = [
     "_dev",

src/openai/_models.py

@@ -2,6 +2,7 @@
 
 import os
 import inspect
+import weakref
 from typing import TYPE_CHECKING, Any, Type, Tuple, Union, Generic, TypeVar, Callable, Optional, cast
 from datetime import date, datetime
 from typing_extensions import (
@@ -598,6 +599,9 @@ class CachedDiscriminatorType(Protocol):
     __discriminator__: DiscriminatorDetails
 
 
+DISCRIMINATOR_CACHE: weakref.WeakKeyDictionary[type, DiscriminatorDetails] = weakref.WeakKeyDictionary()
+
+
 class DiscriminatorDetails:
     field_name: str
     """The name of the discriminator field in the variant class, e.g.
@@ -640,8 +644,9 @@ def __init__(
 
 
 def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any, ...]) -> DiscriminatorDetails | None:
-    if isinstance(union, CachedDiscriminatorType):
-        return union.__discriminator__
+    cached = DISCRIMINATOR_CACHE.get(union)
+    if cached is not None:
+        return cached
 
     discriminator_field_name: str | None = None
 
@@ -694,7 +699,7 @@ def _build_discriminated_union_meta(*, union: type, meta_annotations: tuple[Any,
         discriminator_field=discriminator_field_name,
         discriminator_alias=discriminator_alias,
     )
-    cast(CachedDiscriminatorType, union).__discriminator__ = details
+    DISCRIMINATOR_CACHE.setdefault(union, details)
     return details
 
 

src/openai/_utils/_sync.py

@@ -1,10 +1,8 @@
 from __future__ import annotations
 
-import sys
 import asyncio
 import functools
-import contextvars
-from typing import Any, TypeVar, Callable, Awaitable
+from typing import TypeVar, Callable, Awaitable
 from typing_extensions import ParamSpec
 
 import anyio
@@ -15,34 +13,11 @@
 T_ParamSpec = ParamSpec("T_ParamSpec")
 
 
-if sys.version_info >= (3, 9):
-    _asyncio_to_thread = asyncio.to_thread
-else:
-    # backport of https://docs.python.org/3/library/asyncio-task.html#asyncio.to_thread
-    # for Python 3.8 support
-    async def _asyncio_to_thread(
-        func: Callable[T_ParamSpec, T_Retval], /, *args: T_ParamSpec.args, **kwargs: T_ParamSpec.kwargs
-    ) -> Any:
-        """Asynchronously run function *func* in a separate thread.
-
-        Any *args and **kwargs supplied for this function are directly passed
-        to *func*. Also, the current :class:`contextvars.Context` is propagated,
-        allowing context variables from the main thread to be accessed in the
-        separate thread.
-
-        Returns a coroutine that can be awaited to get the eventual result of *func*.
-        """
-        loop = asyncio.events.get_running_loop()
-        ctx = contextvars.copy_context()
-        func_call = functools.partial(ctx.run, func, *args, **kwargs)
-        return await loop.run_in_executor(None, func_call)
-
-
 async def to_thread(
     func: Callable[T_ParamSpec, T_Retval], /, *args: T_ParamSpec.args, **kwargs: T_ParamSpec.kwargs
 ) -> T_Retval:
     if sniffio.current_async_library() == "asyncio":
-        return await _asyncio_to_thread(func, *args, **kwargs)
+        return await asyncio.to_thread(func, *args, **kwargs)
 
     return await anyio.to_thread.run_sync(
         functools.partial(func, *args, **kwargs),
@@ -53,10 +28,7 @@ async def to_thread(
 def asyncify(function: Callable[T_ParamSpec, T_Retval]) -> Callable[T_ParamSpec, Awaitable[T_Retval]]:
     """
     Take a blocking function and create an async one that receives the same
-    positional and keyword arguments. For python version 3.9 and above, it uses
-    asyncio.to_thread to run the function in a separate thread. For python version
-    3.8, it uses locally defined copy of the asyncio.to_thread function which was
-    introduced in python 3.9.
+    positional and keyword arguments.
 
     Usage:
 

src/openai/_version.py

@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
 __title__ = "openai"
-__version__ = "2.7.1"  # x-release-please-version
+__version__ = "2.7.2"  # x-release-please-version

tests/test_models.py

@@ -9,7 +9,7 @@
 
 from openai._utils import PropertyInfo
 from openai._compat import PYDANTIC_V1, parse_obj, model_dump, model_json
-from openai._models import BaseModel, construct_type
+from openai._models import DISCRIMINATOR_CACHE, BaseModel, construct_type
 
 
 class BasicModel(BaseModel):
@@ -809,7 +809,7 @@ class B(BaseModel):
 
     UnionType = cast(Any, Union[A, B])
 
-    assert not hasattr(UnionType, "__discriminator__")
+    assert not DISCRIMINATOR_CACHE.get(UnionType)
 
     m = construct_type(
         value={"type": "b", "data": "foo"}, type_=cast(Any, Annotated[UnionType, PropertyInfo(discriminator="type")])
@@ -818,7 +818,7 @@ class B(BaseModel):
     assert m.type == "b"
     assert m.data == "foo"  # type: ignore[comparison-overlap]
 
-    discriminator = UnionType.__discriminator__
+    discriminator = DISCRIMINATOR_CACHE.get(UnionType)
     assert discriminator is not None
 
     m = construct_type(
@@ -830,7 +830,7 @@ class B(BaseModel):
 
     # if the discriminator details object stays the same between invocations then
     # we hit the cache
-    assert UnionType.__discriminator__ is discriminator
+    assert DISCRIMINATOR_CACHE.get(UnionType) is discriminator
 
 
 @pytest.mark.skipif(PYDANTIC_V1, reason="TypeAliasType is not supported in Pydantic v1")