> ## 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.gemini config

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

<a id="camel.configs.gemini_config.GeminiConfig" />

## GeminiConfig

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

Defines the parameters for generating chat completions using the
Gemini API.

**Parameters:**

* **temperature** (float, optional): Sampling temperature to use, between :obj:`0` and :obj:`2`. Higher values make the output more random, while lower values make it more focused and deterministic. (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. (default: :obj:`None`)
* **response\_format** (object, optional): An object specifying the format that the model must output. Compatible with GPT-4 Turbo and all GPT-3.5 Turbo models newer than gpt-3.5-turbo-1106. 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.
* **stream** (bool, optional): If True, partial message deltas will be sent as data-only server-sent events as they become available. (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`)
* **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.
* **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.