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fern-api[bot]fern-api[bot]
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SDK regeneration (#421)
Co-authored-by: fern-api <115122769+fern-api[bot]@users.noreply.github.com>
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‎pyproject.toml‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1,6 +1,6 @@
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[tool.poetry]
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name = "cohere"
3-
version = "5.0.0"
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version = "5.0.1"
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description = ""
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readme = "README.md"
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authors = []

‎src/cohere/base_client.py‎

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Original file line numberDiff line numberDiff line change
@@ -129,6 +129,7 @@ def chat_stream(
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k: typing.Optional[int] = OMIT,
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p: typing.Optional[float] = OMIT,
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seed: typing.Optional[float] = OMIT,
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stop_sequences: typing.Optional[typing.Sequence[str]] = OMIT,
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frequency_penalty: typing.Optional[float] = OMIT,
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presence_penalty: typing.Optional[float] = OMIT,
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raw_prompting: typing.Optional[bool] = OMIT,
@@ -213,6 +214,8 @@ def chat_stream(
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- seed: typing.Optional[float]. If specified, the backend will make a best effort to sample tokens deterministically, such that repeated requests with the same seed and parameters should return the same result. However, determinism cannot be totally guaranteed.
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- stop_sequences: typing.Optional[typing.Sequence[str]]. A list of up to 5 strings that the model will use to stop generation. If the model generates a string that matches any of the strings in the list, it will stop generating tokens and return the generated text up to that point not including the stop sequence.
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- frequency_penalty: typing.Optional[float]. Defaults to `0.0`, min value of `0.0`, max value of `1.0`.
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Used to reduce repetitiveness of generated tokens. The higher the value, the stronger a penalty is applied to previously present tokens, proportional to how many times they have already appeared in the prompt or prior generation.
@@ -295,6 +298,7 @@ def chat_stream(
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k=1,
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p=1.1,
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seed=1.1,
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stop_sequences=["string"],
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connectors_search_options=ChatStreamRequestConnectorsSearchOptions(
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model={"key": "value"},
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temperature={"key": "value"},
@@ -358,6 +362,8 @@ def chat_stream(
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_request["p"] = p
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if seed is not OMIT:
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_request["seed"] = seed
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if stop_sequences is not OMIT:
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_request["stop_sequences"] = stop_sequences
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if frequency_penalty is not OMIT:
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_request["frequency_penalty"] = frequency_penalty
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if presence_penalty is not OMIT:
@@ -426,6 +432,7 @@ def chat(
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k: typing.Optional[int] = OMIT,
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p: typing.Optional[float] = OMIT,
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seed: typing.Optional[float] = OMIT,
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stop_sequences: typing.Optional[typing.Sequence[str]] = OMIT,
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frequency_penalty: typing.Optional[float] = OMIT,
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presence_penalty: typing.Optional[float] = OMIT,
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raw_prompting: typing.Optional[bool] = OMIT,
@@ -510,6 +517,8 @@ def chat(
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- seed: typing.Optional[float]. If specified, the backend will make a best effort to sample tokens deterministically, such that repeated requests with the same seed and parameters should return the same result. However, determinism cannot be totally guaranteed.
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- stop_sequences: typing.Optional[typing.Sequence[str]]. A list of up to 5 strings that the model will use to stop generation. If the model generates a string that matches any of the strings in the list, it will stop generating tokens and return the generated text up to that point not including the stop sequence.
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- frequency_penalty: typing.Optional[float]. Defaults to `0.0`, min value of `0.0`, max value of `1.0`.
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Used to reduce repetitiveness of generated tokens. The higher the value, the stronger a penalty is applied to previously present tokens, proportional to how many times they have already appeared in the prompt or prior generation.
@@ -598,6 +607,8 @@ def chat(
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_request["p"] = p
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if seed is not OMIT:
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_request["seed"] = seed
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if stop_sequences is not OMIT:
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_request["stop_sequences"] = stop_sequences
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if frequency_penalty is not OMIT:
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_request["frequency_penalty"] = frequency_penalty
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if presence_penalty is not OMIT:
@@ -1629,6 +1640,7 @@ async def chat_stream(
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k: typing.Optional[int] = OMIT,
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p: typing.Optional[float] = OMIT,
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seed: typing.Optional[float] = OMIT,
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stop_sequences: typing.Optional[typing.Sequence[str]] = OMIT,
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frequency_penalty: typing.Optional[float] = OMIT,
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presence_penalty: typing.Optional[float] = OMIT,
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raw_prompting: typing.Optional[bool] = OMIT,
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- seed: typing.Optional[float]. If specified, the backend will make a best effort to sample tokens deterministically, such that repeated requests with the same seed and parameters should return the same result. However, determinism cannot be totally guaranteed.
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- stop_sequences: typing.Optional[typing.Sequence[str]]. A list of up to 5 strings that the model will use to stop generation. If the model generates a string that matches any of the strings in the list, it will stop generating tokens and return the generated text up to that point not including the stop sequence.
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- frequency_penalty: typing.Optional[float]. Defaults to `0.0`, min value of `0.0`, max value of `1.0`.
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Used to reduce repetitiveness of generated tokens. The higher the value, the stronger a penalty is applied to previously present tokens, proportional to how many times they have already appeared in the prompt or prior generation.
@@ -1795,6 +1809,7 @@ async def chat_stream(
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k=1,
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p=1.1,
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seed=1.1,
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stop_sequences=["string"],
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connectors_search_options=ChatStreamRequestConnectorsSearchOptions(
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model={"key": "value"},
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temperature={"key": "value"},
@@ -1858,6 +1873,8 @@ async def chat_stream(
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_request["p"] = p
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if seed is not OMIT:
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_request["seed"] = seed
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if stop_sequences is not OMIT:
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_request["stop_sequences"] = stop_sequences
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if frequency_penalty is not OMIT:
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_request["frequency_penalty"] = frequency_penalty
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if presence_penalty is not OMIT:
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k: typing.Optional[int] = OMIT,
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p: typing.Optional[float] = OMIT,
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seed: typing.Optional[float] = OMIT,
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stop_sequences: typing.Optional[typing.Sequence[str]] = OMIT,
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frequency_penalty: typing.Optional[float] = OMIT,
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presence_penalty: typing.Optional[float] = OMIT,
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raw_prompting: typing.Optional[bool] = OMIT,
@@ -2010,6 +2028,8 @@ async def chat(
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- seed: typing.Optional[float]. If specified, the backend will make a best effort to sample tokens deterministically, such that repeated requests with the same seed and parameters should return the same result. However, determinism cannot be totally guaranteed.
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- stop_sequences: typing.Optional[typing.Sequence[str]]. A list of up to 5 strings that the model will use to stop generation. If the model generates a string that matches any of the strings in the list, it will stop generating tokens and return the generated text up to that point not including the stop sequence.
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- frequency_penalty: typing.Optional[float]. Defaults to `0.0`, min value of `0.0`, max value of `1.0`.
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Used to reduce repetitiveness of generated tokens. The higher the value, the stronger a penalty is applied to previously present tokens, proportional to how many times they have already appeared in the prompt or prior generation.
@@ -2098,6 +2118,8 @@ async def chat(
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_request["p"] = p
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if seed is not OMIT:
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_request["seed"] = seed
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if stop_sequences is not OMIT:
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_request["stop_sequences"] = stop_sequences
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if frequency_penalty is not OMIT:
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_request["frequency_penalty"] = frequency_penalty
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if presence_penalty is not OMIT:

‎src/cohere/core/client_wrapper.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -23,7 +23,7 @@ def get_headers(self) -> typing.Dict[str, str]:
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headers: typing.Dict[str, str] = {
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"X-Fern-Language": "Python",
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"X-Fern-SDK-Name": "cohere",
26-
"X-Fern-SDK-Version": "5.0.0",
26+
"X-Fern-SDK-Version": "5.0.1",
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}
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if self._client_name is not None:
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headers["X-Client-Name"] = self._client_name

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