Source code for camel.configs.internlm_config

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from typing import Optional, Union

from camel.configs.base_config import BaseConfig


[docs] class InternLMConfig(BaseConfig): r"""Defines the parameters for generating chat completions using the InternLM API. You can refer to the following link for more details: https://internlm.intern-ai.org.cn/api/document Args: stream (bool, optional): Whether to stream the response. (default: :obj:`False`) temperature (float, optional): Controls the diversity and focus of the generated results. Lower values make the output more focused, while higher values make it more diverse. (default: :obj:`0.8`) 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:`0.9`) max_tokens (Union[int, NotGiven], optional): Allows the model to generate the maximum number of tokens. (default: :obj:`NOT_GIVEN`) tools (list, optional): Specifies an array of tools that the model can call. It can contain one or more tool objects. During a function call process, the model will select one tool from the array. (default: :obj:`None`) tool_choice (Union[dict[str, str], str], optional): Controls which (if any) tool is called by the model. :obj:`"none"` means the model will not call any tool and instead generates a message. :obj:`"auto"` means the model can pick between generating a message or calling one or more tools. :obj:`"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. :obj:`"none"` is the default when no tools are present. :obj:`"auto"` is the default if tools are present. """ stream: bool = False temperature: float = 0.8 top_p: float = 0.9 max_tokens: Optional[int] = None tool_choice: Optional[Union[dict[str, str], str]] = None
INTERNLM_API_PARAMS = {param for param in InternLMConfig.model_fields.keys()}