autogen.oai.cohere.CohereLLMConfigEntry

CohereLLMConfigEntry

CohereLLMConfigEntry(**data: Any)

!!! abstract “Usage Documentation” Models

A base class for creating Pydantic models.

Parameters:

Name	Description
**data	Type: Any

Class Attributes

api_type

client_name

frequency_penalty

k

max_tokens

model_config

p

presence_penalty

seed

stream

strict_tools

temperature

tool_choice

Instance Methods

create_client

create_client(self) -> 

model_dump

model_dump(
    self,
    *args: Any,
    exclude_none: bool = True,
    **kwargs: Any
) -> dict[str, Any]

!!! abstract “Usage Documentation” model_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

Name	Description
*args	Type: Any
exclude_none	Whether to exclude fields that have a value of None. Type: bool Default: True
**kwargs	Type: Any

Returns:

Type	Description
dict[str, typing.Any]	A dictionary representation of the model.

model_dump_json

model_dump_json(
    self,
    *args: Any,
    exclude_none: bool = True,
    **kwargs: Any
) -> str

!!! abstract “Usage Documentation” model_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

Name	Description
*args	Type: Any
exclude_none	Whether to exclude fields that have a value of None. Type: bool Default: True
**kwargs	Type: Any

Returns:

Type	Description
str	A JSON string representation of the model.