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🌿 Fern Regeneration -- September 11, 2025 #694

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6 changes: 3 additions & 3 deletions poetry.lock
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2 changes: 1 addition & 1 deletion pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -3,7 +3,7 @@ name = "cohere"

[tool.poetry]
name = "cohere"
version = "5.17.1"
version = "6.0.0"
description = ""
readme = "README.md"
authors = []
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4 changes: 2 additions & 2 deletions src/cohere/core/client_wrapper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,10 +22,10 @@ def __init__(

def get_headers(self) -> typing.Dict[str, str]:
headers: typing.Dict[str, str] = {
"User-Agent": "cohere/5.17.1",
"User-Agent": "cohere/6.0.0",
"X-Fern-Language": "Python",
"X-Fern-SDK-Name": "cohere",
"X-Fern-SDK-Version": "5.17.1",
"X-Fern-SDK-Version": "6.0.0",
}
if self._client_name is not None:
headers["X-Client-Name"] = self._client_name
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12 changes: 6 additions & 6 deletions src/cohere/finetuning/client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -115,12 +115,12 @@ def create_finetuned_model(
)
client.finetuning.create_finetuned_model(
request=FinetunedModel(
name="api-test",
name="name",
settings=Settings(
base_model=BaseModel(
base_type="BASE_TYPE_CHAT",
base_type="BASE_TYPE_UNSPECIFIED",
),
dataset_id="my-dataset-id",
dataset_id="dataset_id",
),
),
)
Expand Down Expand Up @@ -478,12 +478,12 @@ async def create_finetuned_model(
async def main() -> None:
await client.finetuning.create_finetuned_model(
request=FinetunedModel(
name="api-test",
name="name",
settings=Settings(
base_model=BaseModel(
base_type="BASE_TYPE_CHAT",
base_type="BASE_TYPE_UNSPECIFIED",
),
dataset_id="my-dataset-id",
dataset_id="dataset_id",
),
),
)
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32 changes: 0 additions & 32 deletions src/cohere/v2/client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -66,7 +66,6 @@ def chat_stream(
logprobs: typing.Optional[bool] = OMIT,
tool_choice: typing.Optional[V2ChatStreamRequestToolChoice] = OMIT,
thinking: typing.Optional[Thinking] = OMIT,
raw_prompting: typing.Optional[bool] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> typing.Iterator[V2ChatStreamResponse]:
"""
Expand Down Expand Up @@ -159,12 +158,6 @@ def chat_stream(

thinking : typing.Optional[Thinking]

raw_prompting : typing.Optional[bool]
When enabled, the user's prompt will be sent to the model without
any pre-processing.

Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments

request_options : typing.Optional[RequestOptions]
Request-specific configuration.

Expand Down Expand Up @@ -212,7 +205,6 @@ def chat_stream(
logprobs=logprobs,
tool_choice=tool_choice,
thinking=thinking,
raw_prompting=raw_prompting,
request_options=request_options,
) as r:
yield from r.data
Expand All @@ -239,7 +231,6 @@ def chat(
logprobs: typing.Optional[bool] = OMIT,
tool_choice: typing.Optional[V2ChatRequestToolChoice] = OMIT,
thinking: typing.Optional[Thinking] = OMIT,
raw_prompting: typing.Optional[bool] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> V2ChatResponse:
"""
Expand Down Expand Up @@ -332,12 +323,6 @@ def chat(

thinking : typing.Optional[Thinking]

raw_prompting : typing.Optional[bool]
When enabled, the user's prompt will be sent to the model without
any pre-processing.

Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments

request_options : typing.Optional[RequestOptions]
Request-specific configuration.

Expand Down Expand Up @@ -383,7 +368,6 @@ def chat(
logprobs=logprobs,
tool_choice=tool_choice,
thinking=thinking,
raw_prompting=raw_prompting,
request_options=request_options,
)
return _response.data
Expand Down Expand Up @@ -602,7 +586,6 @@ async def chat_stream(
logprobs: typing.Optional[bool] = OMIT,
tool_choice: typing.Optional[V2ChatStreamRequestToolChoice] = OMIT,
thinking: typing.Optional[Thinking] = OMIT,
raw_prompting: typing.Optional[bool] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> typing.AsyncIterator[V2ChatStreamResponse]:
"""
Expand Down Expand Up @@ -695,12 +678,6 @@ async def chat_stream(

thinking : typing.Optional[Thinking]

raw_prompting : typing.Optional[bool]
When enabled, the user's prompt will be sent to the model without
any pre-processing.

Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments

request_options : typing.Optional[RequestOptions]
Request-specific configuration.

Expand Down Expand Up @@ -756,7 +733,6 @@ async def main() -> None:
logprobs=logprobs,
tool_choice=tool_choice,
thinking=thinking,
raw_prompting=raw_prompting,
request_options=request_options,
) as r:
async for _chunk in r.data:
Expand Down Expand Up @@ -784,7 +760,6 @@ async def chat(
logprobs: typing.Optional[bool] = OMIT,
tool_choice: typing.Optional[V2ChatRequestToolChoice] = OMIT,
thinking: typing.Optional[Thinking] = OMIT,
raw_prompting: typing.Optional[bool] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> V2ChatResponse:
"""
Expand Down Expand Up @@ -877,12 +852,6 @@ async def chat(

thinking : typing.Optional[Thinking]

raw_prompting : typing.Optional[bool]
When enabled, the user's prompt will be sent to the model without
any pre-processing.

Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments

request_options : typing.Optional[RequestOptions]
Request-specific configuration.

Expand Down Expand Up @@ -936,7 +905,6 @@ async def main() -> None:
logprobs=logprobs,
tool_choice=tool_choice,
thinking=thinking,
raw_prompting=raw_prompting,
request_options=request_options,
)
return _response.data
Expand Down
32 changes: 0 additions & 32 deletions src/cohere/v2/raw_client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -75,7 +75,6 @@ def chat_stream(
logprobs: typing.Optional[bool] = OMIT,
tool_choice: typing.Optional[V2ChatStreamRequestToolChoice] = OMIT,
thinking: typing.Optional[Thinking] = OMIT,
raw_prompting: typing.Optional[bool] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> typing.Iterator[HttpResponse[typing.Iterator[V2ChatStreamResponse]]]:
"""
Expand Down Expand Up @@ -168,12 +167,6 @@ def chat_stream(

thinking : typing.Optional[Thinking]

raw_prompting : typing.Optional[bool]
When enabled, the user's prompt will be sent to the model without
any pre-processing.

Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments

request_options : typing.Optional[RequestOptions]
Request-specific configuration.

Expand Down Expand Up @@ -217,7 +210,6 @@ def chat_stream(
"thinking": convert_and_respect_annotation_metadata(
object_=thinking, annotation=Thinking, direction="write"
),
"raw_prompting": raw_prompting,
"stream": True,
},
headers={
Expand Down Expand Up @@ -413,7 +405,6 @@ def chat(
logprobs: typing.Optional[bool] = OMIT,
tool_choice: typing.Optional[V2ChatRequestToolChoice] = OMIT,
thinking: typing.Optional[Thinking] = OMIT,
raw_prompting: typing.Optional[bool] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> HttpResponse[V2ChatResponse]:
"""
Expand Down Expand Up @@ -506,12 +497,6 @@ def chat(

thinking : typing.Optional[Thinking]

raw_prompting : typing.Optional[bool]
When enabled, the user's prompt will be sent to the model without
any pre-processing.

Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments

request_options : typing.Optional[RequestOptions]
Request-specific configuration.

Expand Down Expand Up @@ -555,7 +540,6 @@ def chat(
"thinking": convert_and_respect_annotation_metadata(
object_=thinking, annotation=Thinking, direction="write"
),
"raw_prompting": raw_prompting,
"stream": False,
},
headers={
Expand Down Expand Up @@ -1187,7 +1171,6 @@ async def chat_stream(
logprobs: typing.Optional[bool] = OMIT,
tool_choice: typing.Optional[V2ChatStreamRequestToolChoice] = OMIT,
thinking: typing.Optional[Thinking] = OMIT,
raw_prompting: typing.Optional[bool] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> typing.AsyncIterator[AsyncHttpResponse[typing.AsyncIterator[V2ChatStreamResponse]]]:
"""
Expand Down Expand Up @@ -1280,12 +1263,6 @@ async def chat_stream(

thinking : typing.Optional[Thinking]

raw_prompting : typing.Optional[bool]
When enabled, the user's prompt will be sent to the model without
any pre-processing.

Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments

request_options : typing.Optional[RequestOptions]
Request-specific configuration.

Expand Down Expand Up @@ -1329,7 +1306,6 @@ async def chat_stream(
"thinking": convert_and_respect_annotation_metadata(
object_=thinking, annotation=Thinking, direction="write"
),
"raw_prompting": raw_prompting,
"stream": True,
},
headers={
Expand Down Expand Up @@ -1525,7 +1501,6 @@ async def chat(
logprobs: typing.Optional[bool] = OMIT,
tool_choice: typing.Optional[V2ChatRequestToolChoice] = OMIT,
thinking: typing.Optional[Thinking] = OMIT,
raw_prompting: typing.Optional[bool] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> AsyncHttpResponse[V2ChatResponse]:
"""
Expand Down Expand Up @@ -1618,12 +1593,6 @@ async def chat(

thinking : typing.Optional[Thinking]

raw_prompting : typing.Optional[bool]
When enabled, the user's prompt will be sent to the model without
any pre-processing.

Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker/Bedrock, Private Deployments

request_options : typing.Optional[RequestOptions]
Request-specific configuration.

Expand Down Expand Up @@ -1667,7 +1636,6 @@ async def chat(
"thinking": convert_and_respect_annotation_metadata(
object_=thinking, annotation=Thinking, direction="write"
),
"raw_prompting": raw_prompting,
"stream": False,
},
headers={
Expand Down