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