Camel.models.litellm model

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LiteLLMModel

class LiteLLMModel(BaseModelBackend):

• model_type (Union[ModelType, str]): Model for which a backend is created, such as GPT-3.5-turbo, Claude-2, etc.
• model_config_dict (Optional[Dict[str, Any]], optional): A dictionary that will be fed into:obj:completion(). If:obj:None, :obj:LiteLLMConfig().as_dict() will be used. (default: :obj:None)
• api_key (Optional[str], optional): The API key for authenticating with the model service. (default: :obj:None)
• url (Optional[str], optional): The url to the model service. (default: :obj:None)
• token_counter (Optional[BaseTokenCounter], optional): Token counter to use for the model. If not provided, :obj:LiteLLMTokenCounter 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) **kwargs (Any): Additional arguments to pass to the client initialization.

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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,
    **kwargs: Any
):

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_convert_response_from_litellm_to_openai

def _convert_response_from_litellm_to_openai(self, response):

• response (LiteLLMResponse): The response object from LiteLLM.

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token_counter

def token_counter(self):

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_run

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

• messages (List[OpenAIMessage]): Message list with the chat history in OpenAI format.