Extractor web

import os
from openai import OpenAI

client = OpenAI(
    # If the environment variable is not configured, replace the next line with api_key="sk-xxx" (not recommended), using your Model Studio API key.
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # Singapore region. Replace {WorkspaceId} with your actual Workspace ID. URLs vary by region.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
)

stream = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[
        {"role": "user", "content": "Please visit the official Alibaba Cloud Model Studio documentation for the code interpreter and summarize its main content"}
    ],
    extra_body={
        "enable_thinking": True,
        "enable_search": True,
        "search_options": {"search_strategy": "agent_max"}
    },
    stream=True
)

reasoning_started = False
output_started = False

for chunk in stream:
    if chunk.choices:
        delta = chunk.choices[0].delta
        # Print the thinking process
        if hasattr(delta, 'reasoning_content') and delta.reasoning_content:
            if not reasoning_started:
                print("="*20 + "Thinking Process" + "="*20)
                reasoning_started = True
            print(delta.reasoning_content, end='', flush=True)
        # Print the response content
        if delta.content:
            if not output_started:
                print("\n" + "="*20 + "Response Content" + "="*20)
                output_started = True
            print(delta.content, end='', flush=True)

import os
import dashscope
from dashscope.v2 import DashScopeError

# La siguiente es la configuración de la región de Singapur (ap-southeast-1). Sustituya {WorkspaceId} por el ID real de su espacio de trabajo. El valor de region varía según la región.
client = dashscope.Client(
    # Si no se ha configurado la variable de entorno, sustituya la siguiente línea por su API Key de Model Studio: api_key = "sk-xxx"
    # Las API Key varían según la región. Para obtener una API Key, consulte https://www.alibabacloud.com/help/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

reasoning_started = False
output_started = False

try:
    stream = client.chat.completions.create(
        model="qwen3.8-max",
        messages=[
            {"role": "user", "content": "Please visit the official Alibaba Cloud Model Studio documentation for the code interpreter and summarize its main content"}
        ],
        enable_search=True,
        search_options={"search_strategy": "agent_max"},
        enable_thinking=True,
        stream=True
    )

    for chunk in stream:
        delta = chunk.choices[0].delta

        # Imprimir el proceso de pensamiento
        if delta.reasoning_content:
            if not reasoning_started:
                print("="*20 + "Thinking Process" + "="*20)
                reasoning_started = True
            print(delta.reasoning_content, end='', flush=True)

        # Imprimir el contenido de la respuesta
        if delta.content:
            if not output_started:
                print("\n" + "="*20 + "Response Content" + "="*20)
                output_started = True
            print(delta.content, end='', flush=True)
except DashScopeError as e:
    print(f"Código de estado HTTP: {e.status_code}")
    print(f"Código de error: {e.code}")
    print(f"Mensaje de error: {e.message}")
    print("Consulte: https://www.alibabacloud.com/help/model-studio/developer-reference/error-code")