chore(internal): bump pyright dependency (#2021)

Author: stainless-app[bot]

requirements-dev.lock

@@ -68,7 +68,7 @@ pydantic-core==2.27.1
  # via pydantic
 pygments==2.18.0
  # via rich
-pyright==1.1.391
+pyright==1.1.392.post0
 pytest==8.3.3
  # via pytest-asyncio
 pytest-asyncio==0.24.0

src/openai/_legacy_response.py

@@ -266,7 +266,9 @@ def _parse(self, *, to: type[_T] | None = None) -> R | _T:
  if origin == LegacyAPIResponse:
  raise RuntimeError("Unexpected state - cast_to is `APIResponse`")
 
- if inspect.isclass(origin) and issubclass(origin, httpx.Response):
+ if inspect.isclass(
+ origin # pyright: ignore[reportUnknownArgumentType]
+ ) and issubclass(origin, httpx.Response):
  # Because of the invariance of our ResponseT TypeVar, users can subclass httpx.Response
  # and pass that class to our request functions. We cannot change the variance to be either
  # covariant or contravariant as that makes our usage of ResponseT illegal. We could construct
@@ -276,7 +278,13 @@ def _parse(self, *, to: type[_T] | None = None) -> R | _T:
  raise ValueError(f"Subclasses of httpx.Response cannot be passed to `cast_to`")
  return cast(R, response)
 
- if inspect.isclass(origin) and not issubclass(origin, BaseModel) and issubclass(origin, pydantic.BaseModel):
+ if (
+ inspect.isclass(
+ origin # pyright: ignore[reportUnknownArgumentType]
+ )
+ and not issubclass(origin, BaseModel)
+ and issubclass(origin, pydantic.BaseModel)
+ ):
  raise TypeError("Pydantic models must subclass our base model type, e.g. `from openai import BaseModel`")
 
  if (

src/openai/_response.py

@@ -214,7 +214,13 @@ def _parse(self, *, to: type[_T] | None = None) -> R | _T:
  raise ValueError(f"Subclasses of httpx.Response cannot be passed to `cast_to`")
  return cast(R, response)
 
- if inspect.isclass(origin) and not issubclass(origin, BaseModel) and issubclass(origin, pydantic.BaseModel):
+ if (
+ inspect.isclass(
+ origin # pyright: ignore[reportUnknownArgumentType]
+ )
+ and not issubclass(origin, BaseModel)
+ and issubclass(origin, pydantic.BaseModel)
+ ):
  raise TypeError("Pydantic models must subclass our base model type, e.g. `from openai import BaseModel`")
 
  if (