Camel.models.vllm model

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VLLMModel

class VLLMModel(OpenAICompatibleModel):

vLLM service interface.

Parameters:

• model_type (Union[ModelType, str]): Model for which a backend is created.
• model_config_dict (Optional[Dict[str, Any]], optional): A dictionary that will be fed into:obj:openai.ChatCompletion.create(). If :obj:None, :obj:VLLMConfig().as_dict() will be used. (default: :obj:None)
• api_key (Optional[str], optional): The API key for authenticating with the model service. vLLM doesn’t need API key, it would be ignored if set. (default: :obj:None)
• url (Optional[str], optional): The url to the model service. If not provided, :obj:"http://localhost:8000/v1" will be used. (default: :obj:None)
• 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)
• max_retries (int, optional): Maximum number of retries for API calls. (default: :obj:3) **kwargs (Any): Additional arguments to pass to the client initialization.
• References:
• https: //docs.vllm.ai/en/latest/serving/openai_compatible_server.html

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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,
    max_retries: int = 3,
    **kwargs: Any
):

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_start_server

def _start_server(self):

Starts the vllm server in a subprocess.

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check_model_config

def check_model_config(self):