How to configure langchain to use ali cloud qwen LLM model

langgraph-with-ali-dashscope.py

# Because ali could LLM is compatible with openai,
# we can configure its model just like gpt-x like beblow

from langgraph.prebuilt import create_react_agent
from langchain.chat_models import init_chat_model
from dotenv import load_dotenv

import os

load_dotenv()

def get_weather(city: str) -> str:  
    """Get weather for a given city."""
    return f"It's always sunny in {city}!"

model = init_chat_model(
    "openai:qwen-plus",
    api_key=os.getenv("ALI_DASHSCOPE_API_KEY"),
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1"
)

agent = create_react_agent(
    model=model,
    tools=[get_weather],
    prompt="You are a helpful assistant"  
)

# Run the agent
agent.invoke(
    {"messages": [{"role": "user", "content": "what is the weather in sf"}]}
)

you need a api key from ali cloud and put it in .env file as ALI_DASHSCOPE_API_KEY.