Referensi API Qwen-Deep-Research

import os
import dashscope
# 以下为华北2（北京）地域的配置，调用时请将WorkspaceId替换为真实的业务空间ID，各地域的配置不同。
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1"

# Step 1: Get the clarifying question from the model.
messages = [{'role': 'user', 'content': 'Research the applications of artificial intelligence in education'}]

responses = dashscope.Generation.call(
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model="qwen-deep-research",
    messages=messages,
    stream=True
)

# Collect the model's clarifying question.
step1_content = ""
for response in responses:
    if hasattr(response, 'output') and response.output:
        message = response.output.get('message', {})
        content = message.get('content', '')
        if content:
            step1_content += content
            print(content, end='', flush=True)

# Step 2: Start the deep research.
messages = [
    {'role': 'user', 'content': 'Research the applications of artificial intelligence in education'},
    {'role': 'assistant', 'content': step1_content},
    {'role': 'user', 'content': 'I want to focus on personalized learning and intelligent assessment.'}
]

responses = dashscope.Generation.call(
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model="qwen-deep-research",
    messages=messages
)

# Stream the research results.
for response in responses:
    if hasattr(response, 'output') and response.output:
        message = response.output.get('message', {})
        content = message.get('content', '')
        if content:
            print(content, end='', flush=True)

{
  "status_code": 200,
  "request_id": "2a6187f0-7e7b-40bb-a87e-xxx",
  "code": "",
  "message": "",
  "output": {
        "text": null,
        "finish_reason": null,
        "choices": null,
        "message": {
            "phase": "ResearchPlanning",
            "role": "assistant",
            "content": "",
            "extra": {
                "deep_research": {}
            },
            "status": "typing"
        },
        "fininshed": false,
        "fininshed_reason": "null"
    },
    "usage": {
        "input_tokens": 694,
        "output_tokens": 0
    },
    "request_id": "2a6187f0-7e7b-40bb-xxx"
}