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SGLangConfig

class SGLangConfig(BaseConfig):

Defines the parameters for generating chat completions using the OpenAI API.

Reference: https://sgl-project.github.io/references/sampling_params.html

Parameters:

  • stop (str or list, optional): Up to :obj:4 sequences where the API will stop generating further tokens. (default: :obj:None)
  • 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): An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So :obj:0.1 means only the tokens comprising the top 10% probability mass are considered. (default: :obj:None)
  • n (int, optional): How many chat completion choices to generate for each input message. (default: :obj:None)
  • frequency_penalty (float, optional): Number between :obj:-2.0 and :obj: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. See more information about frequency and presence penalties. (default: :obj:None)
  • presence_penalty (float, optional): Number between :obj:-2.0 and :obj: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. See more information about frequency and presence penalties. (default: :obj:None)
  • stream (bool, optional): Whether to stream the generated output in chunks. If set to True, the response will be streamed as it is generated. (default: :obj:None)
  • max_tokens (int, optional): The maximum number of tokens to generate in the chat completion. The total length of input tokens and generated tokens is limited by the model’s context length. (default: :obj:None)
  • tools (list[Dict[str, Any]], optional): A list of tool definitions that the model can dynamically invoke. Each tool should be defined as a dictionary following OpenAI’s function calling specification format. For more details, refer to the OpenAI documentation. (default: :obj:None)