LangChain搭建Agent | 使用initialize_agent

1.用create_tool_calling_agent报错

构建agent，这个方法是过时了吗？官方文档也没更新，官方示例也运行错误

from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import ConfigurableField
from langchain_core.tools import tool
from langchain.agents import create_tool_calling_agent, AgentExecutor@tool
def multiply(x: float, y: float) -> float:"""将 'x' 乘以 'y'。"""return x * y@tool
def exponentiate(x: float, y: float) -> float:"""将 'x' 乘以 'y' 的指数。"""return x**y@tool
def add(x: float, y: float) -> float:"""将 'x' 和 'y' 相加。"""return x + yprompt = ChatPromptTemplate.from_messages([("system", "你是一个有用的助手"), ("human", "{input}"), ("placeholder", "{agent_scratchpad}"),
])tools = [multiply, exponentiate, add]# llm = ChatZhipuAI(
#     model="glm-4",
#     temperature=0.5,
# )agent = create_tool_calling_agent(llm, tools, prompt)
agent_executor = AgentExecutor(agent=agent, tools=tools, verbose=True)agent_executor.invoke({"input": "3 加上 5 的 2.743 次方是多少。还有 17.24 减去 918.1241 是多少。"})

有路过的大佬指点一二么？

2.【解决方案】用initialize_agent

llm就按照这篇文章配置任意一个
LangChain连接国内大模型测试|智谱ai、讯飞星火、通义千问

from langchain.tools import BaseTool
from langchain.agents import initialize_agent
from langchain.agents import AgentType
import os
from langchain_community.chat_models import ChatZhipuAI
os.environ["ZHIPUAI_API_KEY"] = 'xxx'
llm = ChatZhipuAI(model="glm-4",temperature=0.5,
)
class Multiply(BaseTool):name = "乘法"description = "只做乘法运算"def _run(self, input: str) -> str:# Your logic herereturn "乘法计算完毕"def _arun(self, query: str):raise NotImplementedError("This tool does not support async")
class Add(BaseTool):name = "加法"description = "只做加法运算"def _run(self, input: str) -> str:# Your logic herereturn "加法计算完毕"def _arun(self, query: str):raise NotImplementedError("This tool does not support async")
class Exponentiate(BaseTool):name = "幂运算"description = "只做幂运算"def _run(self, input: str) -> str:# Your logic herereturn "幂运算计算完毕"def _arun(self, query: str):raise NotImplementedError("This tool does not support async")tools = [Multiply(),Add(),Exponentiate()]# agent = initialize_agent(tools, agent=AgentType.DEFAULT)
agent = initialize_agent(tools, llm, verbose=True)
agent("3乘以6,加上 5 的 4 次方是多少?")

就说清不清楚吧！

{'input': '3乘以6,加上 5 的 4 次方是多少?', 'output': '643'}

【官方文档】

• initialize_agent
• create_tool_calling_agent