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:

inputs (dict)
callbacks (list[BaseCallbackHandler] | BaseCallbackManager | None)
kwargs (Any)

Return type:

str