ResponseGenerator#

class langchain_experimental.autonomous_agents.hugginggpt.repsonse_generator.ResponseGenerator(llm_chain: LLMChain, stop: List | None = 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 (List | None)

__init__(llm_chain: LLMChain, stop: List | None = None)[source]#
Parameters:

  • llm_chain (LLMChain)

  • stop (List | None)

generate(inputs: dict, callbacks: list[BaseCallbackHandler] | BaseCallbackManager | None = None, **kwargs: Any) → str[source]#

Given input, decided what to do.

Parameters:
Return type:

str