# ========= Copyright 2023-2026 @ CAMEL-AI.org. All Rights Reserved. =========
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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# ========= Copyright 2023-2026 @ CAMEL-AI.org. All Rights Reserved. =========
from __future__ import annotations

from typing import Any, Dict, Optional, Union

from camel.configs.base_config import BaseConfig


class ModelScopeConfig(BaseConfig):
    r"""Defines the parameters for generating chat completions using the
    ModelScope API. You can refer to the following link for more details:
    https://www.modelscope.cn/docs/model-service/API-Inference/intro

    Args:
        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"` or
            specifying a particular tool via
            {"type": "function", "function": {"name": "some_function"}}
            can be used to guide the model to use tools more strongly.
            (default: :obj:`None`)
        max_tokens (int, optional): Specifies the maximum number of tokens
            the model can generate. This sets an upper limit, but does not
            guarantee that this number will always be reached.
            (default: :obj:`None`)
        top_p (float, optional): Controls the randomness of the generated
            results. Lower values lead to less randomness, while higher
            values increase randomness. (default: :obj:`None`)
        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:`0.3`)
        stream (bool, optional): If True, enables streaming output.
            (default: :obj:`None`)
        extra_body (dict, optional): Extra body parameters to be passed to
            the ModelScope API.
    """

    tool_choice: Optional[
        Union[Dict[str, Union[str, Dict[str, str]]], str]
    ] = None
    max_tokens: Optional[int] = None
    top_p: Optional[float] = None
    temperature: Optional[float] = None
    stream: Optional[bool] = None
    extra_body: Optional[Dict[str, Any]] = None


MODELSCOPE_API_PARAMS = {
    param for param in ModelScopeConfig.model_fields.keys()
}
