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DeepSeekConfig

class DeepSeekConfig(BaseConfig):
Defines the parameters for generating chat completions using the DeepSeek API. Parameters:
  • temperature (float, optional): Sampling temperature to use, between :obj:0 and :obj:2. Higher values make the output more random, while lower values make it more focused and deterministic. (default: :obj:None)
  • top_p (float, optional): Controls the diversity and focus of the generated results. Higher values make the output more diverse, while lower values make it more focused. (default: :obj:None)
  • response_format (object, optional): Specifies the format of the returned content. The available values are {"type": "text"} or {"type": "json_object"}. Setting it to {"type": "json_object"} will output a standard JSON string. (default: :obj:None)
  • stream (bool, optional): If set, partial message deltas will be sent. Tokens will be sent as data-only server-sent events (SSE) as they become available, with the stream terminated by a
  • data: [DONE] message. (default: :obj:None)
  • stop (Union[str, list[str]], optional): Up to 16 sequences where the API will stop generating further tokens. (default: :obj:None)
  • max_tokens (int, optional): The maximum number of tokens that can be generated in the chat completion. The total length of input tokens and generated tokens is limited by the model’s context length. (default: :obj:None)
  • presence_penalty (float, optional): Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model’s likelihood to talk about new topics. (default: :obj:None)
  • frequency_penalty (float, optional): Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model’s likelihood to repeat the same line verbatim. (default: :obj:None)
  • tools (list[FunctionTool], optional): A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported. (default: :obj:None)
  • tool_choice (Union[dict[str, str], str], optional): Controls which (if any) tool is called by the model. “none” means the model will not call any tool and instead generates a message. “auto” means the model can pick between generating a message or calling one or more tools. “required” means the model must call one or more tools. Specifying a particular tool via {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool. “none” is the default when no tools are present. “auto” is the default if tools are present. (default: :obj:None)
  • logprobs (bool, optional): Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message. (default: :obj:None)
  • top_logprobs (int, optional): An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. logprobs must be set to true if this parameter is used. (default: :obj:None)
  • include_usage (bool, optional): When streaming, specifies whether to include usage information in stream_options. (default: :obj:None)

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init

def __init__(self, include_usage: bool = True, **kwargs):