> ## Documentation Index
> Fetch the complete documentation index at: https://docs.camel-ai.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Camel.configs.modelscope config

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

<a id="camel.configs.modelscope_config.ModelScopeConfig" />

## ModelScopeConfig

```python theme={"system"}
class ModelScopeConfig(BaseConfig):
```

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](https://www.modelscope.cn/docs/model-service/API-Inference/intro)

**Parameters:**

* **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.