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)[来源]#
用于与AutoGPT交互的代理。
方法
__init__
(ai_name, memory, chain, ...[, ...])from_llm_and_tools
(ai_name, ai_role, memory, ...)run
(goals)- Parameters:
ai_name (str)
内存 (VectorStoreRetriever)
chain (LLMChain)
output_parser (BaseAutoGPTOutputParser)
工具 (列表[BaseTool])
feedback_tool (可选[HumanInputRun])
chat_history_memory (可选[BaseChatMessageHistory])
- __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)[来源]#
- Parameters:
ai_name (str)
内存 (VectorStoreRetriever)
chain (LLMChain)
output_parser (BaseAutoGPTOutputParser)
工具 (列表[BaseTool])
feedback_tool (HumanInputRun | None)
chat_history_memory (BaseChatMessageHistory | None)
- 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:
ai_name (str)
ai_role (str)
内存 (VectorStoreRetriever)
工具 (列表[BaseTool])
llm (BaseChatModel)
human_in_the_loop (bool)
output_parser (BaseAutoGPTOutputParser | None)
chat_history_memory (BaseChatMessageHistory | None)
- Return type: