[PR PREVIEW - DO NOT MERGE] 🌿 Fern Regeneration -- December 7, 2025

ee/codegen/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@vellum-ai/vellum-codegen",
-  "version": "1.11.13",
+  "version": "1.11.14",
   "main": "lib/src/index.js",
   "typings": "lib/src/index.d.ts",
   "files": [

pyproject.toml

@@ -3,7 +3,7 @@ name = "vellum-ai"
 
 [tool.poetry]
 name = "vellum-ai"
-version = "1.11.13"
+version = "1.11.14"
 description = ""
 readme = "README.md"
 authors = []

src/vellum/client/README.md

@@ -226,7 +226,7 @@ from vellum import Vellum
 client = Vellum(
     ...,
     httpx_client=httpx.Client(
-        proxies="http://my.test.proxy.example.com",
+        proxy="http://my.test.proxy.example.com",
         transport=httpx.HTTPTransport(local_address="0.0.0.0"),
     ),
 )

src/vellum/client/core/force_multipart.py

@@ -1,15 +1,17 @@
 # This file was auto-generated by Fern from our API Definition.
 
+from typing import Any, Dict
 
-class ForceMultipartDict(dict):
+
+class ForceMultipartDict(Dict[str, Any]):
     """
     A dictionary subclass that always evaluates to True in boolean contexts.
 
     This is used to force multipart/form-data encoding in HTTP requests even when
     the dictionary is empty, which would normally evaluate to False.
     """
 
-    def __bool__(self):
+    def __bool__(self) -> bool:
         return True
 
 

src/vellum/client/core/http_response.py

@@ -4,8 +4,8 @@
 
 import httpx
 
+# Generic to represent the underlying type of the data wrapped by the HTTP response.
 T = TypeVar("T")
-"""Generic to represent the underlying type of the data wrapped by the HTTP response."""
 
 
 class BaseHttpResponse:

src/vellum/client/core/pydantic_utilities.py

@@ -72,7 +72,7 @@ class UniversalBaseModel(pydantic.BaseModel):
 
         @pydantic.model_serializer(mode="plain", when_used="json")  # type: ignore[attr-defined]
         def serialize_model(self, info: SerializationInfo) -> Any:  # type: ignore[name-defined]
-            serialized = self.model_dump(context=info.context)
+            serialized = self.model_dump(context=info.context)  # type: ignore[attr-defined]
             data = {k: serialize_datetime(v) if isinstance(v, dt.datetime) else v for k, v in serialized.items()}
             return data
 
@@ -162,10 +162,13 @@ def dict(self, **kwargs: Any) -> Dict[str, Any]:
         # This optimization dramatically improves serialization performance for large nested
         # structures by avoiding repeated typing.get_origin checks on every element.
         if self.__class__.__name__ in annotated_types:
-            return convert_and_respect_annotation_metadata(
-                object_=dict_dump, annotation=self.__class__, direction="write"
+            return cast(
+                Dict[str, Any],
+                convert_and_respect_annotation_metadata(
+                    object_=dict_dump, annotation=self.__class__, direction="write"
+                ),
             )
-        return dict_dump
+        return cast(Dict[str, Any], dict_dump)
 
 
 def _union_list_of_pydantic_dicts(source: List[Any], destination: List[Any]) -> List[Any]:

tests/client/utils/test_query_encoding.py

@@ -1,6 +1,5 @@
 # This file was auto-generated by Fern from our API Definition.
 
-
 from vellum.client.core.query_encoder import encode_query