AutoGPT#

class langchain_experimental.autonomous_agents.autogpt.agent.AutoGPT(
ai_name: str,
memory: VectorStoreRetriever,
chain: LLMChain,
output_parser: BaseAutoGPTOutputParser,
tools: List[BaseTool],
feedback_tool: HumanInputRun | None = None,
chat_history_memory: BaseChatMessageHistory | None = None,
)[source]#

Agent for interacting with AutoGPT.

Methods

__init__(ai_name, memory, chain, ...[, ...])

from_llm_and_tools(ai_name, ai_role, memory, ...)

run(goals)

Parameters:
__init__(
ai_name: str,
memory: VectorStoreRetriever,
chain: LLMChain,
output_parser: BaseAutoGPTOutputParser,
tools: List[BaseTool],
feedback_tool: HumanInputRun | None = None,
chat_history_memory: BaseChatMessageHistory | None = None,
)[source]#
Parameters:
classmethod from_llm_and_tools(
ai_name: str,
ai_role: str,
memory: VectorStoreRetriever,
tools: List[BaseTool],
llm: BaseChatModel,
human_in_the_loop: bool = False,
output_parser: BaseAutoGPTOutputParser | None = None,
chat_history_memory: BaseChatMessageHistory | None = None,
) → AutoGPT[source]#
Parameters:
Return type:

AutoGPT

run(goals: List[str]) → str[source]#
Parameters:

goals (List[str])

Return type:

str