Source code for camel.configs.siliconflow_config

# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
# Licensed under the Apache License, Version 2.0 (the "License");
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#     http://www.apache.org/licenses/LICENSE-2.0
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# ========= Copyright 2023-2024 @ CAMEL-AI.org. All Rights Reserved. =========
from __future__ import annotations

from typing import Any, Sequence, Type, Union

from pydantic import BaseModel

from camel.configs.base_config import BaseConfig
from camel.types import NOT_GIVEN, NotGiven




class SiliconFlowConfig(BaseConfig):
    r"""Defines the parameters for generating chat completions using the
    SiliconFlow API.

    Args:
        temperature (float, optional): Determines the degree of randomness
            in the response. (default: :obj:`0.7`)
        top_p (float, optional): The top_p (nucleus) parameter is used to
            dynamically adjust the number of choices for each predicted token
            based on the cumulative probabilities. (default: :obj:`0.7`)
        n (int, optional): Number of generations to return. (default::obj:`1`)
        response_format (object, optional): An object specifying the format
            that the model must output.
        stream (bool, optional): If set, tokens are returned as Server-Sent
            Events as they are made available. (default: :obj:`False`)
        stop (str or list, optional): Up to :obj:`4` sequences where the API
            will stop generating further tokens. (default: :obj:`None`)
        max_tokens (int, optional): The maximum number of tokens to generate.
            (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:`0.0`)
        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.
    """

    temperature: float = 0.7
    top_p: float = 0.7
    n: int = 1
    stream: bool = False
    stop: Union[str, Sequence[str], NotGiven] = NOT_GIVEN
    max_tokens: Union[int, NotGiven] = NOT_GIVEN
    response_format: Union[Type[BaseModel], dict, NotGiven] = NOT_GIVEN
    frequency_penalty: float = 0.0



    def as_dict(self) -> dict[str, Any]:
        r"""Convert the current configuration to a dictionary.

        This method converts the current configuration object to a dictionary
        representation, which can be used for serialization or other purposes.

        Returns:
            dict[str, Any]: A dictionary representation of the current
                configuration.
        """
        config_dict = self.model_dump()
        if self.tools:
            from camel.toolkits import FunctionTool

            tools_schema = []
            for tool in self.tools:
                if not isinstance(tool, FunctionTool):
                    raise ValueError(
                        f"The tool {tool} should "
                        "be an instance of `FunctionTool`."
                    )
                tools_schema.append(tool.get_openai_tool_schema())
        config_dict["tools"] = NOT_GIVEN
        return config_dict




SILICONFLOW_API_PARAMS = {
    param for param in SiliconFlowConfig.model_fields.keys()
}