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GeminiModel

class GeminiModel(OpenAICompatibleModel):

Gemini API in a unified OpenAICompatibleModel interface.

Parameters:

  • model_type (Union[ModelType, str]): Model for which a backend is created, one of Gemini series.
  • model_config_dict (Optional[Dict[str, Any]], optional): A dictionary that will be fed into:obj:openai.ChatCompletion.create(). If :obj:None, :obj:GeminiConfig().as_dict() will be used. (default: :obj:None)
  • api_key (Optional[str], optional): The API key for authenticating with the Gemini service. (default: :obj:None)
  • url (Optional[str], optional): The url to the Gemini service. (default: :obj:https://generativelanguage.googleapis.com/v1beta/ openai/)
  • token_counter (Optional[BaseTokenCounter], optional): Token counter to use for the model. If not provided, :obj:OpenAITokenCounter( ModelType.GPT_4O_MINI) will be used. (default: :obj:None)
  • timeout (Optional[float], optional): The timeout value in seconds for API calls. If not provided, will fall back to the MODEL_TIMEOUT environment variable or default to 180 seconds. (default: :obj:None)

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init

def __init__(
    self,
    model_type: Union[ModelType, str],
    model_config_dict: Optional[Dict[str, Any]] = None,
    api_key: Optional[str] = None,
    url: Optional[str] = None,
    token_counter: Optional[BaseTokenCounter] = None,
    timeout: Optional[float] = None
):

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_process_messages

def _process_messages(self, messages):

Process the messages for Gemini API to ensure no empty content, which is not accepted by Gemini.

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_run

def _run(
    self,
    messages: List[OpenAIMessage],
    response_format: Optional[Type[BaseModel]] = None,
    tools: Optional[List[Dict[str, Any]]] = None
):

Runs inference of Gemini chat completion.

Parameters:

  • messages (List[OpenAIMessage]): Message list with the chat history in OpenAI API format.
  • response_format (Optional[Type[BaseModel]]): The format of the response.
  • tools (Optional[List[Dict[str, Any]]]): The schema of the tools to use for the request.

Returns:

Union[ChatCompletion, Stream[ChatCompletionChunk]]: ChatCompletion in the non-stream mode, or Stream[ChatCompletionChunk] in the stream mode.

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_request_chat_completion

def _request_chat_completion(
    self,
    messages: List[OpenAIMessage],
    tools: Optional[List[Dict[str, Any]]] = None
):

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check_model_config

def check_model_config(self):