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

requirements-dev.lock

@@ -124,7 +124,7 @@ pygments==2.18.0
     # via rich
 pyjwt==2.8.0
     # via msal
-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

@@ -269,7 +269,9 @@ 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
@@ -279,7 +281,13 @@ 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 (