<a id="camel.configs.minimax_config"></a>

<a id="camel.configs.minimax_config.MinimaxConfig"></a>

## MinimaxConfig

```python
class MinimaxConfig(BaseConfig):
```

Defines the parameters for generating chat completions using OpenAI
compatibility with Minimax.

Reference: https://api.minimax.chat/document/guides/chat-model

**Parameters:**

- **temperature** (float, optional): Sampling temperature to use, between :obj:`0.0` and :obj:`1.0`. Higher values make the output more random, while lower values make it more focused and deterministic. Recommended to use :obj:`1.0`. Values outside this range will return an error. (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. Only supports value :obj:`1`. (default: :obj:`None`)
- **response_format** (object, optional): An object specifying the format that the model must output. Setting to `{"type": "json_object"}` enables JSON mode, which guarantees the message the model generates is valid JSON. Important: when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if finish_reason="length", which indicates the generation exceeded max_tokens or the conversation exceeded the max context length. (default: :obj:`None`)
- **stream** (bool, optional): If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only server-sent events as they become available, with the stream terminated by a data: [DONE] message. (default: :obj:`None`)
- **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 in the chat completion. The total length of input tokens and generated tokens is limited by the model's context length. (default: :obj:`None`)
- **user** (str, optional): A unique identifier representing your end-user, which can help to monitor and detect abuse. (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.
- **interleaved_thinking** (Optional[bool], optional): Whether to enable interleaved thinking mode. When enabled, the model performs step-by-step reasoning while dynamically invoking tools. This sets `reasoning_split=True` in the API request, which separates reasoning into a `reasoning_details` field. (default: :obj:`None`)

**Note:**

Some OpenAI parameters such as presence_penalty, frequency_penalty,
and logit_bias will be ignored by Minimax.
