18.https://api.python.langchain.com/en/latest/agents/langchain.agents.openai_tools.base.create_openai_tools_agent.html 19.https://api.python.langchain.com/en/latest/agents/langchain.agents.openai_functions_agent.base.create_openai_functions_agent.html 20.https://api.python.langchain.com/en/l...
OpenAI Functions聊天型✅✅functions如果你使用的是OpenAI模型，或者是经过微调以支持函数调用的开源模型...
"agent_scratchpad": lambda x: format_to_openai_function_messages(x["intermediate_steps"]), } | prompt | llm_with_tools | OpenAIFunctionsAgentOutputParser() ) 创建AgentExecutor实例 agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True) 执行 action_input = "Create a folder call...
prompt = hub.pull("hwchase17/openai-functions-agent") # Choose the LLM that will drive the agent llm = ChatOpenAI(model="gpt-3.5-turbo-1106", streaming=True) # Construct the OpenAI Functions agent agent_runnable = create_openai_functions_agent(llm, tools, prompt) 然后,我们定义...
In the OpenAIFunctionsAgent class, there is an asynchronous method called 'aplan' which is used to decide what to do given some input. This method uses the 'apredict_messages' method of the 'llm' object, which is likely an asynchronous generator function. ...
from langchain.agentsimportcreate_openai_functions_agent from langchain.tools.renderimportformat_tool_to_openai_function from langchain_core.promptsimportChatPromptTemplate,MessagesPlaceholderfrom langchain_openaiimportChatOpenAI from typing_extensionsimportTypedDict# This defines the object that is passed betwe...
Pip 包:langchain(至少 v0.1.0)、openai、wikipedia、langchain-community、tavily-python、langchainhub、langchain-openai、python-dotenv 1.定义Tools(工具) 代码示例如下: from dotenv import load_dotenv from langchain import hub from langchain.agents import AgentExecutor, create_openai_functions_agent, loa...
repl = SessionsPythonREPLTool(pool_management_endpoint=pool_management_endpoint) tools = [repl] prompt = hub.pull("hwchase17/openai-functions-agent") agent = agents.create_tool_calling_agent(llm, tools, prompt) 需要执行计算时,代理使用 SessionPythonREPLTool来运行代码。 该代码在会话池的会话中执行...
OpenAI 有 Function calling 的功能,LangChain 的代理也是类似,这里我们使用了 OpenAIFunctionsAgent。 LangChain 的代理可以根据用户的提问,结合工具的描述(描述是非常有用的)和自定义参数自动判断是否需要调用工具以及选择什么工具。 基于代理和工具我们还可以把业务和 GPT 模型能力完美的结合起来。
包括 OpenAI Functions Agent、Plan-and-execute Agent、Self Ask With Search 类 AutoGPT 的 Agent 等...