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SDK regeneration (#747)
Co-authored-by: fern-api[bot] <115122769+fern-api[bot]@users.noreply.github.com>
1 parent 7eda2dc commit dcd81d8

7 files changed

Lines changed: 16 additions & 64 deletions

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‎.fern/metadata.json‎

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

‎poetry.lock‎

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‎pyproject.toml‎

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

‎reference.md‎

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

‎src/cohere/core/client_wrapper.py‎

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

‎src/cohere/finetuning/client.py‎

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@@ -12,7 +12,6 @@
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from .finetuning.types.list_finetuned_models_response import ListFinetunedModelsResponse
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from .finetuning.types.list_training_step_metrics_response import ListTrainingStepMetricsResponse
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from .finetuning.types.settings import Settings
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from .finetuning.types.status import Status
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from .finetuning.types.update_finetuned_model_response import UpdateFinetunedModelResponse
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from .raw_client import AsyncRawFinetuningClient, RawFinetuningClient
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@@ -202,13 +201,7 @@ def delete_finetuned_model(
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return _response.data
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def update_finetuned_model(
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self,
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id: str,
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*,
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name: str,
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settings: Settings,
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status: typing.Optional[Status] = OMIT,
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request_options: typing.Optional[RequestOptions] = None,
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self, id: str, *, name: str, settings: Settings, request_options: typing.Optional[RequestOptions] = None
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) -> UpdateFinetunedModelResponse:
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"""
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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.
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settings : Settings
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FinetunedModel settings such as dataset, hyperparameters...
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status : typing.Optional[Status]
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Current stage in the life-cycle of the fine-tuned model.
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request_options : typing.Optional[RequestOptions]
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Request-specific configuration.
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)
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"""
258248
_response = self._raw_client.update_finetuned_model(
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id, name=name, settings=settings, status=status, request_options=request_options
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id, name=name, settings=settings, request_options=request_options
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)
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return _response.data
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@@ -593,13 +583,7 @@ async def main() -> None:
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return _response.data
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595585
async def update_finetuned_model(
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self,
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id: str,
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*,
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name: str,
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settings: Settings,
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status: typing.Optional[Status] = OMIT,
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request_options: typing.Optional[RequestOptions] = None,
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self, id: str, *, name: str, settings: Settings, request_options: typing.Optional[RequestOptions] = None
603587
) -> UpdateFinetunedModelResponse:
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"""
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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.
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settings : Settings
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FinetunedModel settings such as dataset, hyperparameters...
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status : typing.Optional[Status]
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Current stage in the life-cycle of the fine-tuned model.
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request_options : typing.Optional[RequestOptions]
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Request-specific configuration.
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asyncio.run(main())
656637
"""
657638
_response = await self._raw_client.update_finetuned_model(
658-
id, name=name, settings=settings, status=status, request_options=request_options
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id, name=name, settings=settings, request_options=request_options
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)
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return _response.data
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‎src/cohere/finetuning/raw_client.py‎

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@@ -25,7 +25,6 @@
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from .finetuning.types.list_finetuned_models_response import ListFinetunedModelsResponse
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from .finetuning.types.list_training_step_metrics_response import ListTrainingStepMetricsResponse
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from .finetuning.types.settings import Settings
28-
from .finetuning.types.status import Status
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from .finetuning.types.update_finetuned_model_response import UpdateFinetunedModelResponse
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from pydantic import ValidationError
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raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response_json)
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503502
def update_finetuned_model(
504-
self,
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id: str,
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*,
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name: str,
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settings: Settings,
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status: typing.Optional[Status] = OMIT,
510-
request_options: typing.Optional[RequestOptions] = None,
503+
self, id: str, *, name: str, settings: Settings, request_options: typing.Optional[RequestOptions] = None
511504
) -> HttpResponse[UpdateFinetunedModelResponse]:
512505
"""
513506
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.
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523516
settings : Settings
524517
FinetunedModel settings such as dataset, hyperparameters...
525518
526-
status : typing.Optional[Status]
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Current stage in the life-cycle of the fine-tuned model.
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request_options : typing.Optional[RequestOptions]
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Request-specific configuration.
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542532
"settings": convert_and_respect_annotation_metadata(
543533
object_=settings, annotation=Settings, direction="write"
544534
),
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"status": status,
546535
},
547536
headers={
548537
"content-type": "application/json",
@@ -1368,13 +1357,7 @@ async def delete_finetuned_model(
13681357
raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response_json)
13691358

13701359
async def update_finetuned_model(
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self,
1372-
id: str,
1373-
*,
1374-
name: str,
1375-
settings: Settings,
1376-
status: typing.Optional[Status] = OMIT,
1377-
request_options: typing.Optional[RequestOptions] = None,
1360+
self, id: str, *, name: str, settings: Settings, request_options: typing.Optional[RequestOptions] = None
13781361
) -> AsyncHttpResponse[UpdateFinetunedModelResponse]:
13791362
"""
13801363
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.
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13901373
settings : Settings
13911374
FinetunedModel settings such as dataset, hyperparameters...
13921375
1393-
status : typing.Optional[Status]
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Current stage in the life-cycle of the fine-tuned model.
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request_options : typing.Optional[RequestOptions]
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Request-specific configuration.
13981378
@@ -1409,7 +1389,6 @@ async def update_finetuned_model(
14091389
"settings": convert_and_respect_annotation_metadata(
14101390
object_=settings, annotation=Settings, direction="write"
14111391
),
1412-
"status": status,
14131392
},
14141393
headers={
14151394
"content-type": "application/json",

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