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🌿 Fern Regeneration -- August 8, 2025 #685

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24 changes: 12 additions & 12 deletions poetry.lock
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Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.

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 = "5.16.2"
version = "5.16.3"
description = ""
readme = "README.md"
authors = []
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2 changes: 0 additions & 2 deletions src/cohere/__init__.py
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Expand Up @@ -167,7 +167,6 @@
NonStreamedChatResponse,
OAuthAuthorizeResponse,
ParseInfo,
ReasoningEffort,
RerankDocument,
RerankRequestDocumentsItem,
RerankResponse,
Expand Down Expand Up @@ -496,7 +495,6 @@
"NotImplementedError",
"OAuthAuthorizeResponse",
"ParseInfo",
"ReasoningEffort",
"RerankDocument",
"RerankRequestDocumentsItem",
"RerankResponse",
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32 changes: 0 additions & 32 deletions src/cohere/base_client.py
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Expand Up @@ -146,7 +146,6 @@ def chat_stream(
*,
message: str,
accepts: typing.Optional[typing.Literal["text/event-stream"]] = None,
raw_prompting: typing.Optional[bool] = OMIT,
model: typing.Optional[str] = OMIT,
preamble: typing.Optional[str] = OMIT,
chat_history: typing.Optional[typing.Sequence[Message]] = OMIT,
Expand Down Expand Up @@ -187,12 +186,6 @@ def chat_stream(
accepts : typing.Optional[typing.Literal["text/event-stream"]]
Pass text/event-stream to receive the streamed response as server-sent events. The default is `\n` delimited events.

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

model : typing.Optional[str]
The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.

Expand Down Expand Up @@ -414,7 +407,6 @@ def chat_stream(
with self._raw_client.chat_stream(
message=message,
accepts=accepts,
raw_prompting=raw_prompting,
model=model,
preamble=preamble,
chat_history=chat_history,
Expand Down Expand Up @@ -447,7 +439,6 @@ def chat(
*,
message: str,
accepts: typing.Optional[typing.Literal["text/event-stream"]] = None,
raw_prompting: typing.Optional[bool] = OMIT,
model: typing.Optional[str] = OMIT,
preamble: typing.Optional[str] = OMIT,
chat_history: typing.Optional[typing.Sequence[Message]] = OMIT,
Expand Down Expand Up @@ -487,12 +478,6 @@ def chat(
accepts : typing.Optional[typing.Literal["text/event-stream"]]
Pass text/event-stream to receive the streamed response as server-sent events. The default is `\n` delimited events.

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

model : typing.Optional[str]
The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.

Expand Down Expand Up @@ -725,7 +710,6 @@ def chat(
_response = self._raw_client.chat(
message=message,
accepts=accepts,
raw_prompting=raw_prompting,
model=model,
preamble=preamble,
chat_history=chat_history,
Expand Down Expand Up @@ -1602,7 +1586,6 @@ async def chat_stream(
*,
message: str,
accepts: typing.Optional[typing.Literal["text/event-stream"]] = None,
raw_prompting: typing.Optional[bool] = OMIT,
model: typing.Optional[str] = OMIT,
preamble: typing.Optional[str] = OMIT,
chat_history: typing.Optional[typing.Sequence[Message]] = OMIT,
Expand Down Expand Up @@ -1643,12 +1626,6 @@ async def chat_stream(
accepts : typing.Optional[typing.Literal["text/event-stream"]]
Pass text/event-stream to receive the streamed response as server-sent events. The default is `\n` delimited events.

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

model : typing.Optional[str]
The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.

Expand Down Expand Up @@ -1878,7 +1855,6 @@ async def main() -> None:
async with self._raw_client.chat_stream(
message=message,
accepts=accepts,
raw_prompting=raw_prompting,
model=model,
preamble=preamble,
chat_history=chat_history,
Expand Down Expand Up @@ -1912,7 +1888,6 @@ async def chat(
*,
message: str,
accepts: typing.Optional[typing.Literal["text/event-stream"]] = None,
raw_prompting: typing.Optional[bool] = OMIT,
model: typing.Optional[str] = OMIT,
preamble: typing.Optional[str] = OMIT,
chat_history: typing.Optional[typing.Sequence[Message]] = OMIT,
Expand Down Expand Up @@ -1952,12 +1927,6 @@ async def chat(
accepts : typing.Optional[typing.Literal["text/event-stream"]]
Pass text/event-stream to receive the streamed response as server-sent events. The default is `\n` delimited events.

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

model : typing.Optional[str]
The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.

Expand Down Expand Up @@ -2198,7 +2167,6 @@ async def main() -> None:
_response = await self._raw_client.chat(
message=message,
accepts=accepts,
raw_prompting=raw_prompting,
model=model,
preamble=preamble,
chat_history=chat_history,
Expand Down
4 changes: 2 additions & 2 deletions src/cohere/core/client_wrapper.py
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Expand Up @@ -22,10 +22,10 @@ def __init__(

def get_headers(self) -> typing.Dict[str, str]:
headers: typing.Dict[str, str] = {
"User-Agent": "cohere/5.16.2",
"User-Agent": "cohere/5.16.3",
"X-Fern-Language": "Python",
"X-Fern-SDK-Name": "cohere",
"X-Fern-SDK-Version": "5.16.2",
"X-Fern-SDK-Version": "5.16.3",
}
if self._client_name is not None:
headers["X-Client-Name"] = self._client_name
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32 changes: 0 additions & 32 deletions src/cohere/raw_base_client.py
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Expand Up @@ -74,7 +74,6 @@ def chat_stream(
*,
message: str,
accepts: typing.Optional[typing.Literal["text/event-stream"]] = None,
raw_prompting: typing.Optional[bool] = OMIT,
model: typing.Optional[str] = OMIT,
preamble: typing.Optional[str] = OMIT,
chat_history: typing.Optional[typing.Sequence[Message]] = OMIT,
Expand Down Expand Up @@ -115,12 +114,6 @@ def chat_stream(
accepts : typing.Optional[typing.Literal["text/event-stream"]]
Pass text/event-stream to receive the streamed response as server-sent events. The default is `\n` delimited events.

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

model : typing.Optional[str]
The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.

Expand Down Expand Up @@ -329,7 +322,6 @@ def chat_stream(
"v1/chat",
method="POST",
json={
"raw_prompting": raw_prompting,
"message": message,
"model": model,
"preamble": preamble,
Expand Down Expand Up @@ -542,7 +534,6 @@ def chat(
*,
message: str,
accepts: typing.Optional[typing.Literal["text/event-stream"]] = None,
raw_prompting: typing.Optional[bool] = OMIT,
model: typing.Optional[str] = OMIT,
preamble: typing.Optional[str] = OMIT,
chat_history: typing.Optional[typing.Sequence[Message]] = OMIT,
Expand Down Expand Up @@ -582,12 +573,6 @@ def chat(
accepts : typing.Optional[typing.Literal["text/event-stream"]]
Pass text/event-stream to receive the streamed response as server-sent events. The default is `\n` delimited events.

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

model : typing.Optional[str]
The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.

Expand Down Expand Up @@ -796,7 +781,6 @@ def chat(
"v1/chat",
method="POST",
json={
"raw_prompting": raw_prompting,
"message": message,
"model": model,
"preamble": preamble,
Expand Down Expand Up @@ -2989,7 +2973,6 @@ async def chat_stream(
*,
message: str,
accepts: typing.Optional[typing.Literal["text/event-stream"]] = None,
raw_prompting: typing.Optional[bool] = OMIT,
model: typing.Optional[str] = OMIT,
preamble: typing.Optional[str] = OMIT,
chat_history: typing.Optional[typing.Sequence[Message]] = OMIT,
Expand Down Expand Up @@ -3030,12 +3013,6 @@ async def chat_stream(
accepts : typing.Optional[typing.Literal["text/event-stream"]]
Pass text/event-stream to receive the streamed response as server-sent events. The default is `\n` delimited events.

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

model : typing.Optional[str]
The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.

Expand Down Expand Up @@ -3244,7 +3221,6 @@ async def chat_stream(
"v1/chat",
method="POST",
json={
"raw_prompting": raw_prompting,
"message": message,
"model": model,
"preamble": preamble,
Expand Down Expand Up @@ -3457,7 +3433,6 @@ async def chat(
*,
message: str,
accepts: typing.Optional[typing.Literal["text/event-stream"]] = None,
raw_prompting: typing.Optional[bool] = OMIT,
model: typing.Optional[str] = OMIT,
preamble: typing.Optional[str] = OMIT,
chat_history: typing.Optional[typing.Sequence[Message]] = OMIT,
Expand Down Expand Up @@ -3497,12 +3472,6 @@ async def chat(
accepts : typing.Optional[typing.Literal["text/event-stream"]]
Pass text/event-stream to receive the streamed response as server-sent events. The default is `\n` delimited events.

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

model : typing.Optional[str]
The name of a compatible [Cohere model](https://docs.cohere.com/docs/models) or the ID of a [fine-tuned](https://docs.cohere.com/docs/chat-fine-tuning) model.

Expand Down Expand Up @@ -3711,7 +3680,6 @@ async def chat(
"v1/chat",
method="POST",
json={
"raw_prompting": raw_prompting,
"message": message,
"model": model,
"preamble": preamble,
Expand Down
2 changes: 0 additions & 2 deletions src/cohere/types/__init__.py
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Expand Up @@ -173,7 +173,6 @@
from .non_streamed_chat_response import NonStreamedChatResponse
from .o_auth_authorize_response import OAuthAuthorizeResponse
from .parse_info import ParseInfo
from .reasoning_effort import ReasoningEffort
from .rerank_document import RerankDocument
from .rerank_request_documents_item import RerankRequestDocumentsItem
from .rerank_response import RerankResponse
Expand Down Expand Up @@ -390,7 +389,6 @@
"NonStreamedChatResponse",
"OAuthAuthorizeResponse",
"ParseInfo",
"ReasoningEffort",
"RerankDocument",
"RerankRequestDocumentsItem",
"RerankResponse",
Expand Down
5 changes: 0 additions & 5 deletions src/cohere/types/chat_message_end_event_delta.py
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Expand Up @@ -5,8 +5,6 @@
import pydantic
from ..core.pydantic_utilities import IS_PYDANTIC_V2
from ..core.unchecked_base_model import UncheckedBaseModel
from .chat_finish_reason import ChatFinishReason
from .usage import Usage


class ChatMessageEndEventDelta(UncheckedBaseModel):
Expand All @@ -15,9 +13,6 @@ class ChatMessageEndEventDelta(UncheckedBaseModel):
An error message if an error occurred during the generation.
"""

finish_reason: typing.Optional[ChatFinishReason] = None
usage: typing.Optional[Usage] = None

if IS_PYDANTIC_V2:
model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow") # type: ignore # Pydantic v2
else:
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5 changes: 0 additions & 5 deletions src/cohere/types/reasoning_effort.py
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