🌿 Fern Regeneration -- March 30, 2026

.fern/metadata.json

@@ -1,5 +1,5 @@
 {
-  "cliVersion": "4.23.0",
+  "cliVersion": "4.48.0",
   "generatorName": "fernapi/fern-python-sdk",
   "generatorVersion": "4.63.4",
   "generatorConfig": {
@@ -79,6 +79,6 @@
       }
     ]
   },
-  "originGitCommit": "7ffcb80a5edaf952524b88ad8960151e148ff39b",
-  "sdkVersion": "5.21.1"
+  "originGitCommit": "40f3fd11b9fd6b445b024a2fcf6f2e67f6181147",
+  "sdkVersion": "5.21.2"
 }

pyproject.toml

@@ -4,7 +4,7 @@ dynamic = ["version"]
 
 [tool.poetry]
 name = "cohere"
-version = "5.21.1"
+version = "5.21.2"
 description = ""
 readme = "README.md"
 authors = []

reference.md

@@ -5505,14 +5505,6 @@ client.finetuning.update_finetuned_model(
 <dl>
 <dd>
 
-**status:** `typing.Optional[Status]` — Current stage in the life-cycle of the fine-tuned model.
-
-</dd>
-</dl>
-
-<dl>
-<dd>
-
 **request_options:** `typing.Optional[RequestOptions]` — Request-specific configuration.
 
 </dd>

src/cohere/core/client_wrapper.py

@@ -29,12 +29,12 @@ def get_headers(self) -> typing.Dict[str, str]:
         import platform
 
         headers: typing.Dict[str, str] = {
-            "User-Agent": "cohere/5.21.1",
+            "User-Agent": "cohere/5.21.2",
             "X-Fern-Language": "Python",
             "X-Fern-Runtime": f"python/{platform.python_version()}",
             "X-Fern-Platform": f"{platform.system().lower()}/{platform.release()}",
             "X-Fern-SDK-Name": "cohere",
-            "X-Fern-SDK-Version": "5.21.1",
+            "X-Fern-SDK-Version": "5.21.2",
             **(self.get_custom_headers() or {}),
         }
         if self._client_name is not None:

src/cohere/finetuning/client.py

@@ -12,7 +12,6 @@
 from .finetuning.types.list_finetuned_models_response import ListFinetunedModelsResponse
 from .finetuning.types.list_training_step_metrics_response import ListTrainingStepMetricsResponse
 from .finetuning.types.settings import Settings
-from .finetuning.types.status import Status
 from .finetuning.types.update_finetuned_model_response import UpdateFinetunedModelResponse
 from .raw_client import AsyncRawFinetuningClient, RawFinetuningClient
 
@@ -202,13 +201,7 @@ def delete_finetuned_model(
         return _response.data
 
     def update_finetuned_model(
-        self,
-        id: str,
-        *,
-        name: str,
-        settings: Settings,
-        status: typing.Optional[Status] = OMIT,
-        request_options: typing.Optional[RequestOptions] = None,
+        self, id: str, *, name: str, settings: Settings, request_options: typing.Optional[RequestOptions] = None
     ) -> UpdateFinetunedModelResponse:
         """
         Updates the fine-tuned model with the given ID. The model will be updated with the new settings and name provided in the request body.
@@ -224,9 +217,6 @@ def update_finetuned_model(
         settings : Settings
             FinetunedModel settings such as dataset, hyperparameters...
 
-        status : typing.Optional[Status]
-            Current stage in the life-cycle of the fine-tuned model.
-
         request_options : typing.Optional[RequestOptions]
             Request-specific configuration.
 
@@ -256,7 +246,7 @@ def update_finetuned_model(
         )
         """
         _response = self._raw_client.update_finetuned_model(
-            id, name=name, settings=settings, status=status, request_options=request_options
+            id, name=name, settings=settings, request_options=request_options
         )
         return _response.data
 
@@ -593,13 +583,7 @@ async def main() -> None:
         return _response.data
 
     async def update_finetuned_model(
-        self,
-        id: str,
-        *,
-        name: str,
-        settings: Settings,
-        status: typing.Optional[Status] = OMIT,
-        request_options: typing.Optional[RequestOptions] = None,
+        self, id: str, *, name: str, settings: Settings, request_options: typing.Optional[RequestOptions] = None
     ) -> UpdateFinetunedModelResponse:
         """
         Updates the fine-tuned model with the given ID. The model will be updated with the new settings and name provided in the request body.
@@ -615,9 +599,6 @@ async def update_finetuned_model(
         settings : Settings
             FinetunedModel settings such as dataset, hyperparameters...
 
-        status : typing.Optional[Status]
-            Current stage in the life-cycle of the fine-tuned model.
-
         request_options : typing.Optional[RequestOptions]
             Request-specific configuration.
 
@@ -655,7 +636,7 @@ async def main() -> None:
         asyncio.run(main())
         """
         _response = await self._raw_client.update_finetuned_model(
-            id, name=name, settings=settings, status=status, request_options=request_options
+            id, name=name, settings=settings, request_options=request_options
         )
         return _response.data
 

src/cohere/finetuning/raw_client.py

@@ -25,7 +25,6 @@
 from .finetuning.types.list_finetuned_models_response import ListFinetunedModelsResponse
 from .finetuning.types.list_training_step_metrics_response import ListTrainingStepMetricsResponse
 from .finetuning.types.settings import Settings
-from .finetuning.types.status import Status
 from .finetuning.types.update_finetuned_model_response import UpdateFinetunedModelResponse
 from pydantic import ValidationError
 
@@ -501,13 +500,7 @@ def delete_finetuned_model(
         raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response_json)
 
     def update_finetuned_model(
-        self,
-        id: str,
-        *,
-        name: str,
-        settings: Settings,
-        status: typing.Optional[Status] = OMIT,
-        request_options: typing.Optional[RequestOptions] = None,
+        self, id: str, *, name: str, settings: Settings, request_options: typing.Optional[RequestOptions] = None
     ) -> HttpResponse[UpdateFinetunedModelResponse]:
         """
         Updates the fine-tuned model with the given ID. The model will be updated with the new settings and name provided in the request body.
@@ -523,9 +516,6 @@ def update_finetuned_model(
         settings : Settings
             FinetunedModel settings such as dataset, hyperparameters...
 
-        status : typing.Optional[Status]
-            Current stage in the life-cycle of the fine-tuned model.
-
         request_options : typing.Optional[RequestOptions]
             Request-specific configuration.
 
@@ -542,7 +532,6 @@ def update_finetuned_model(
                 "settings": convert_and_respect_annotation_metadata(
                     object_=settings, annotation=Settings, direction="write"
                 ),
-                "status": status,
             },
             headers={
                 "content-type": "application/json",
@@ -1368,13 +1357,7 @@ async def delete_finetuned_model(
         raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response_json)
 
     async def update_finetuned_model(
-        self,
-        id: str,
-        *,
-        name: str,
-        settings: Settings,
-        status: typing.Optional[Status] = OMIT,
-        request_options: typing.Optional[RequestOptions] = None,
+        self, id: str, *, name: str, settings: Settings, request_options: typing.Optional[RequestOptions] = None
     ) -> AsyncHttpResponse[UpdateFinetunedModelResponse]:
         """
         Updates the fine-tuned model with the given ID. The model will be updated with the new settings and name provided in the request body.
@@ -1390,9 +1373,6 @@ async def update_finetuned_model(
         settings : Settings
             FinetunedModel settings such as dataset, hyperparameters...
 
-        status : typing.Optional[Status]
-            Current stage in the life-cycle of the fine-tuned model.
-
         request_options : typing.Optional[RequestOptions]
             Request-specific configuration.
 
@@ -1409,7 +1389,6 @@ async def update_finetuned_model(
                 "settings": convert_and_respect_annotation_metadata(
                     object_=settings, annotation=Settings, direction="write"
                 ),
-                "status": status,
             },
             headers={
                 "content-type": "application/json",