demo.py

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)


def run():
    print("正在请求 Qwen3-Max (含联网搜索)...")

    response = client.responses.create(
        model="qwen3-max-2026-01-23",
        input="杭州天气",
        tools=[{"type": "web_search"}],
        extra_body={"enable_thinking": True}
    )

    print("-" * 20 + " 响应处理 " + "-" * 20)

    # 遍历 output 列表中的每一个 item
    for item in response.output:

        # 1. 提取思考过程 (Reasoning/Summary)
        if item.type == 'reasoning' and hasattr(item, 'summary'):
            for s in item.summary:
                print(f"\n【思考逻辑】: {s.text.strip()}")

        # 2. 提取最终回答 (Message)
        if item.type == 'message' and hasattr(item, 'content'):
            for content_item in item.content:
                # 对应你数据中的 ResponseOutputText 类
                if hasattr(content_item, 'text'):
                    print("\n" + "=" * 10 + " 最终回答 " + "=" * 10)
                    print(content_item.text)

    # 3. 打印消耗情况 (可选)
    if hasattr(response, 'usage'):
        u = response.usage
        print(f"\n[Token消耗] 输入: {u.input_tokens}, 输出: {u.output_tokens}, 总计: {u.total_tokens}")


if __name__ == "__main__":
    run()