Alibaba Cloud Model Studio: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)

echo "Step 1: Get the clarifying question"
curl --location 'https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation' \
--header 'X-DashScope-SSE: enable' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "input": {
        "messages": [
            {
                "content": "Research the applications of artificial intelligence in education",
                "role": "user"
            }
        ]
    },
    "model": "qwen-deep-research"
}'

echo -e "\n\n"
echo "Step 2: Start the deep research"
curl --location 'https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation' \
--header 'X-DashScope-SSE: enable' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "input": {
        "messages": [
            {
                "content": "Research the applications of artificial intelligence in education",
                "role": "user"
            },
            {
                "content": "What specific application scenarios of artificial intelligence in education would you like me to focus on?",
                "role": "assistant"
            },
            {
                "content": "I want to focus on personalized learning.",
                "role": "user"
            }
        ]
    },
    "model": "qwen-deep-research"
}'

{
  "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"
}

{
  "status_code": 200,
  "request_id": "2a6187f0-7e7b-40bb-a87e-xxx",
  "code": "",
  "message": "",
  "output": {
    "message": {
      "phase": "WebResearch",
      "role": "assistant",
      "content": "",
      "extra": {
        "deep_research": {
          "query": {
            "researchGoal": "By searching",
            "query": "",
            "id": 1
          }
        }
      },
      "status": "streamingQueries"
    },
    "fininshed": false,
    "fininshed_reason": "null"
  },
  "usage": {
    "input_tokens": 694,
    "output_tokens": 0
  }
}

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

{
  "status_code": 200,
  "request_id": "2a6187f0-7e7b-40bb-a87e-xxx",
  "code": "",
  "message": "",
  "output": {
    "message": {
      "phase": "answer",
      "role": "assistant",
      "content": ", these promises are mutual",
      "extra": {
        "deep_research": {
          "references": [
            {
              "icon": "",
              "index_number": 1,
              "description": "The two xxx envisioned in the plan were never in ",
              "title": "History and Background | United Nations - the United Nations",
              "url": "https://www.un.org/xxx"
            }
          ]
        }
      },
      "status": "typing"
    },
    "fininshed": false,
    "fininshed_reason": "null"
  },
  "usage": {
    "input_tokens": 694,
    "output_tokens": 0
  }
}