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WatsonXModel

class WatsonXModel(BaseModelBackend):
WatsonX API in a unified BaseModelBackend interface. Parameters:
  • model_type (Union[ModelType, str]): Model type for which a backend is created, one of WatsonX series.
  • model_config_dict (Optional[Dict[str, Any]], optional): A dictionary that will be fed into :obj:ModelInference.chat().
  • If: obj:None, :obj:WatsonXConfig().as_dict() will be used. (default: :obj:None)
  • api_key (Optional[str], optional): The API key for authenticating with the WatsonX service. (default: :obj:None)
  • url (Optional[str], optional): The url to the WatsonX service. (default: :obj:None)
  • project_id (Optional[str], optional): The project ID authenticating with the WatsonX service. (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) **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,
    project_id: Optional[str] = None,
    token_counter: Optional[BaseTokenCounter] = None,
    timeout: Optional[float] = None,
    **kwargs: Any
):

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_to_openai_response

def _to_openai_response(self, response: Dict[str, Any]):
Convert WatsonX response to OpenAI format.

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token_counter

def token_counter(self):
Returns: BaseTokenCounter: The token counter following the model’s tokenization style.

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_prepare_request

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

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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 WatsonX chat completion. Parameters:
  • messages (List[OpenAIMessage]): Message list with the chat history in OpenAI API format.
  • response_format (Optional[Type[BaseModel]], optional): The response format. (default: :obj:None)
  • tools (Optional[List[Dict[str, Any]]], optional): tools to use. (default: :obj:None)
Returns: ChatCompletion.

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stream

def stream(self):
Returns: bool: Whether the model is in stream mode.
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