langchain_experimental.autonomous_agents.hugginggpt.repsonse_generator.ResponseGenerator¶

class langchain_experimental.autonomous_agents.hugginggpt.repsonse_generator.ResponseGenerator(llm_chain: LLMChain, stop: Optional[List] = None)[source]¶

Generates a response based on the input.

Methods

__init__(llm_chain[, stop])

generate(inputs[, callbacks])

Given input, decided what to do.
Parameters

  • llm_chain (LLMChain) –

  • stop (Optional[List]) –

__init__(llm_chain: LLMChain, stop: Optional[List] = None)[source]¶
Parameters

  • llm_chain (LLMChain) –

  • stop (Optional[List]) –

generate(inputs: dict, callbacks: Optional[Union[List[BaseCallbackHandler], BaseCallbackManager]] = None, **kwargs: Any) → str[source]¶

Given input, decided what to do.

Parameters
Return type

str