1.create_tool_calling_agent

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 + y

prompt = 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。"})

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

有路过的大佬指点一二么？

2.initialize_agent

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 here
        return "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 here
        return "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 here
        return "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