langchain_experimental.agents.agent_toolkits.xorbits.base
.create_xorbits_agent¶
- langchain_experimental.agents.agent_toolkits.xorbits.base.create_xorbits_agent(llm: BaseLLM, data: Any, callback_manager: Optional[BaseCallbackManager] = None, prefix: str = '', suffix: str = '', input_variables: Optional[List[str]] = None, verbose: bool = False, return_intermediate_steps: bool = False, max_iterations: Optional[int] = 15, max_execution_time: Optional[float] = None, early_stopping_method: str = 'force', agent_executor_kwargs: Optional[Dict[str, Any]] = None, **kwargs: Dict[str, Any]) AgentExecutor [source]¶
从LML和数据框构建一个xorbits代理。
- Parameters
llm (BaseLLM) –
data (Any) –
callback_manager (Optional[BaseCallbackManager]) –
prefix (str) –
suffix (str) –
input_variables (Optional[List[str]]) –
verbose (bool) –
return_intermediate_steps (bool) –
max_iterations (Optional[int]) –
max_execution_time (Optional[float]) –
early_stopping_method (str) –
agent_executor_kwargs (Optional[Dict[str, Any]]) –
kwargs (Dict[str, Any]) –
- Return type