(fix): remove pydantic warnings

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "elevenlabs"
-version = "1.8.1"
+version = "1.8.2"
 description = ""
 readme = "README.md"
 authors = []

src/elevenlabs/core/__init__.py

@@ -3,7 +3,7 @@
 from .api_error import ApiError
 from .client_wrapper import AsyncClientWrapper, BaseClientWrapper, SyncClientWrapper
 from .datetime_utils import serialize_datetime
-from .file import File, convert_file_dict_to_httpx_tuples
+from .file import File, convert_file_dict_to_httpx_tuples, with_content_type
 from .http_client import AsyncHttpClient, HttpClient
 from .jsonable_encoder import jsonable_encoder
 from .pydantic_utilities import (
@@ -47,4 +47,5 @@
     "universal_field_validator",
     "universal_root_validator",
     "update_forward_refs",
+    "with_content_type",
 ]

src/elevenlabs/core/client_wrapper.py

@@ -16,7 +16,7 @@ def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "elevenlabs",
-            "X-Fern-SDK-Version": "1.8.1",
+            "X-Fern-SDK-Version": "1.8.2",
         }
         if self._api_key is not None:
             headers["xi-api-key"] = self._api_key

src/elevenlabs/core/file.py

@@ -1,30 +1,30 @@
 # This file was auto-generated by Fern from our API Definition.
 
-import typing
+from typing import IO, Dict, List, Mapping, Optional, Tuple, Union, cast
 
 # File typing inspired by the flexibility of types within the httpx library
 # https://github.com/encode/httpx/blob/master/httpx/_types.py
-FileContent = typing.Union[typing.IO[bytes], bytes, str]
-File = typing.Union[
+FileContent = Union[IO[bytes], bytes, str]
+File = Union[
     # file (or bytes)
     FileContent,
     # (filename, file (or bytes))
-    typing.Tuple[typing.Optional[str], FileContent],
+    Tuple[Optional[str], FileContent],
     # (filename, file (or bytes), content_type)
-    typing.Tuple[typing.Optional[str], FileContent, typing.Optional[str]],
+    Tuple[Optional[str], FileContent, Optional[str]],
     # (filename, file (or bytes), content_type, headers)
-    typing.Tuple[
-        typing.Optional[str],
+    Tuple[
+        Optional[str],
         FileContent,
-        typing.Optional[str],
-        typing.Mapping[str, str],
+        Optional[str],
+        Mapping[str, str],
     ],
 ]
 
 
 def convert_file_dict_to_httpx_tuples(
-    d: typing.Dict[str, typing.Union[File, typing.List[File]]],
-) -> typing.List[typing.Tuple[str, File]]:
+    d: Dict[str, Union[File, List[File]]],
+) -> List[Tuple[str, File]]:
     """
     The format we use is a list of tuples, where the first element is the
     name of the file and the second is the file object. Typically HTTPX wants
@@ -41,3 +41,22 @@ def convert_file_dict_to_httpx_tuples(
         else:
             httpx_tuples.append((key, file_like))
     return httpx_tuples
+
+
+def with_content_type(*, file: File, content_type: str) -> File:
+    """ """
+    if isinstance(file, tuple):
+        if len(file) == 2:
+            filename, content = cast(Tuple[Optional[str], FileContent], file)  # type: ignore
+            return (filename, content, content_type)
+        elif len(file) == 3:
+            filename, content, _ = cast(Tuple[Optional[str], FileContent, Optional[str]], file)  # type: ignore
+            return (filename, content, content_type)
+        elif len(file) == 4:
+            filename, content, _, headers = cast(  # type: ignore
+                Tuple[Optional[str], FileContent, Optional[str], Mapping[str, str]], file
+            )
+            return (filename, content, content_type, headers)
+        else:
+            raise ValueError(f"Unexpected tuple length: {len(file)}")
+    return (None, file, content_type)

src/elevenlabs/core/pydantic_utilities.py

@@ -99,30 +99,64 @@ def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]:
         Override the default dict method to `exclude_unset` by default. This function patches
         `exclude_unset` to work include fields within non-None default values.
         """
-        _fields_set = self.__fields_set__
-
-        fields = _get_model_fields(self.__class__)
-        for name, field in fields.items():
-            if name not in _fields_set:
-                default = _get_field_default(field)
-
-                # If the default values are non-null act like they've been set
-                # This effectively allows exclude_unset to work like exclude_none where
-                # the latter passes through intentionally set none values.
-                if default != None:
-                    _fields_set.add(name)
-
-        kwargs_with_defaults_exclude_unset: typing.Any = {
-            "by_alias": True,
-            "exclude_unset": True,
-            "include": _fields_set,
-            **kwargs,
-        }
-
+        # Note: the logic here is multi-plexed given the levers exposed in Pydantic V1 vs V2
+        # Pydantic V1's .dict can be extremely slow, so we do not want to call it twice.
+        #
+        # We'd ideally do the same for Pydantic V2, but it shells out to a library to serialize models
+        # that we have less control over, and this is less intrusive than custom serializers for now.
         if IS_PYDANTIC_V2:
-            return super().model_dump(**kwargs_with_defaults_exclude_unset)  # type: ignore # Pydantic v2
+            kwargs_with_defaults_exclude_unset: typing.Any = {
+                **kwargs,
+                "by_alias": True,
+                "exclude_unset": True,
+                "exclude_none": False,
+            }
+            kwargs_with_defaults_exclude_none: typing.Any = {
+                **kwargs,
+                "by_alias": True,
+                "exclude_none": True,
+                "exclude_unset": False,
+            }
+            return deep_union_pydantic_dicts(
+                super().model_dump(**kwargs_with_defaults_exclude_unset),  # type: ignore # Pydantic v2
+                super().model_dump(**kwargs_with_defaults_exclude_none),  # type: ignore # Pydantic v2
+            )
+
         else:
-            return super().dict(**kwargs_with_defaults_exclude_unset)
+            _fields_set = self.__fields_set__
+
+            fields = _get_model_fields(self.__class__)
+            for name, field in fields.items():
+                if name not in _fields_set:
+                    default = _get_field_default(field)
+
+                    # If the default values are non-null act like they've been set
+                    # This effectively allows exclude_unset to work like exclude_none where
+                    # the latter passes through intentionally set none values.
+                    if default != None:
+                        _fields_set.add(name)
+
+            kwargs_with_defaults_exclude_unset_include_fields: typing.Any = {
+                "by_alias": True,
+                "exclude_unset": True,
+                "include": _fields_set,
+                **kwargs,
+            }
+
+            return super().dict(**kwargs_with_defaults_exclude_unset_include_fields)
+
+
+def deep_union_pydantic_dicts(
+    source: typing.Dict[str, typing.Any], destination: typing.Dict[str, typing.Any]
+) -> typing.Dict[str, typing.Any]:
+    for key, value in source.items():
+        if isinstance(value, dict):
+            node = destination.setdefault(key, {})
+            deep_union_pydantic_dicts(value, node)
+        else:
+            destination[key] = value
+
+    return destination
 
 
 if IS_PYDANTIC_V2:
@@ -149,11 +183,11 @@ def encode_by_type(o: typing.Any) -> typing.Any:
             return encoder(o)
 
 
-def update_forward_refs(model: typing.Type["Model"]) -> None:
+def update_forward_refs(model: typing.Type["Model"], **localns: typing.Any) -> None:
     if IS_PYDANTIC_V2:
         model.model_rebuild(raise_errors=False)  # type: ignore # Pydantic v2
     else:
-        model.update_forward_refs()
+        model.update_forward_refs(**localns)
 
 
 # Mirrors Pydantic's internal typing