switch/route.py

from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
import json

from openai import OpenAI
qwclient = OpenAI(
    # 若没有配置环境变量，请用百炼API Key将下行替换为：api_key="sk-xxx",
    #api_key=os.getenv("DASHSCOPE_API_KEY"),
    api_key='ms-0edcfe5e-0d1f-4092-ac17-7c6f69127731',
    #base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
    base_url="https://api-inference.modelscope.cn/v1/",
    timeout=60
)
class Task(BaseModel):
    content: str


@app.post("/ask/")
async def submit(r: Task):
    content = json.loads(r.content)
    completion = qwclient.chat.completions.create(
        # 模型列表：https://help.aliyun.com/zh/model-studio/getting-started/models
        #model="glm-4.5-flash",
        model="Qwen/Qwen3-32B",
        messages=content,
        
        # Qwen3模型通过enable_thinking参数控制思考过程（开源版默认True，商业版默认False）
        # 使用Qwen3开源版模型时，若未启用流式输出，请将下行取消注释，否则会报错
        extra_body={"enable_thinking": False},
        #extra_body={"thinking": {"type": "disabled"}},
    )
    json_string = completion.choices[0].message.content
    print(json_string)
    return {"answer": json_string}