langgraph Agent调用工具示例：模型使用阿里云百炼

from langchain_core.messages import SystemMessage
from langgraph.prebuilt import create_react_agent
from langchain_core.tools import tool
from langchain_openai import ChatOpenAI
import os

from pydantic import BaseModel,Field
from typing_extensions import TypedDict,Annotated

model = ChatOpenAI(model="qwen-max",api_key=os.getenv("OPENAI_API_KEY"),
                   base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
                   temperature=0.7,
                   max_tokens=1024)


@tool
def magic_function(input: int) -> int:
    """Applies a magic function to an input."""
    return input + 2
tools = [magic_function]
langgraph_agent_executor = create_react_agent(model, tools, prompt="You are a helpful assistant. Respond only in Chinese.")

messages = langgraph_agent_executor.invoke({"messages": [("user", "调用这个函数的结果是多少？函数名及参数：magic_function(3)?")]})
print(messages)