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Toolkit/Framework

OpenAI-compatible - Vision

Model vision Qwen di Alibaba Cloud Model Studio kompatibel dengan spesifikasi antarmuka OpenAI. Anda hanya perlu mengubah tiga parameter untuk memigrasikan aplikasi OpenAI yang sudah ada ke Model Studio:

  • base_url:
    • China (Beijing): https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1
    • Singapore: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1. Ganti {WorkspaceId} dengan workspace ID Anda yang sebenarnya.
    • Japan (Tokyo): https://{WorkspaceId}.ap-northeast-1.maas.aliyuncs.com/compatible-mode/v1. Ganti {WorkspaceId} dengan workspace ID Anda yang sebenarnya.
    • US (Virginia): https://{WorkspaceId}.us-east-1.maas.aliyuncs.com/compatible-mode/v1
    • China (Hong Kong): https://{WorkspaceId}.cn-hongkong.maas.aliyuncs.com/compatible-mode/v1. Ganti WorkspaceId dengan workspace ID Anda yang sebenarnya.
  • api_key: Ganti dengan Kunci API Model Studio Anda.
  • model: Ganti dengan nama model dari daftar berikut.
Alibaba Cloud Model Studio telah merilis domain khusus ruang kerja untuk wilayah China (Beijing), Singapore, dan China (Hong Kong). Domain khusus baru ini memberikan performa lebih unggul dan stabilitas lebih tinggi untuk permintaan inferensi. Kami menyarankan migrasi ke domain baru:
  • China (Beijing): dari https://dashscope.aliyuncs.com ke https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com
  • Singapore: dari https://dashscope-intl.aliyuncs.com ke https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com
  • China (Hong Kong): dari https://cn-hongkong.dashscope.aliyuncs.com ke https://{WorkspaceId}.cn-hongkong.maas.aliyuncs.com
{WorkspaceId} adalah workspace ID Anda, yang dapat ditemukan pada halaman Workspace Details di Konsol Alibaba Cloud Model Studio. Domain lama tetap berfungsi sepenuhnya.

Model yang didukung

Model yang didukung: Qwen-VL, QVQ, Qwen-OCR.
Model yang tersedia bervariasi berdasarkan wilayah. Untuk detailnya, lihat Konsol Model Studio.

Pemanggilan model

Contoh

Bagian ini menyediakan contoh pemanggilan streaming untuk Python (SDK OpenAI dan SDK LangChain_OpenAI) serta cURL (HTTP). Untuk contoh bahasa pemrograman atau metode input lainnya, lihat Contoh permintaan Vision.
Model QVQ hanya mendukung keluaran streaming. Untuk detailnya, lihat Visual reasoning.
  • OpenAI SDK
from openai import OpenAI
import os

def get_response():
    client = OpenAI(
    # Kunci API bervariasi berdasarkan wilayah. Dapatkan kunci API: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # base_url Singapore. Ganti {WorkspaceId} dengan workspace ID Anda yang sebenarnya. URL bervariasi berdasarkan wilayah.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
    completion = client.chat.completions.create(
        model="qwen3-vl-plus",
        messages=[
            {
              "role": "user",
              "content": [
                {
                  "type": "text",
                  "text": "What is this"
                },
                {
                  "type": "image_url",
                  "image_url": {
                    "url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"
                  }
                }
              ]
            }
          ],
        stream=True,
        stream_options={"include_usage":True}
        )
    for chunk in completion:
        print(chunk.model_dump())

if __name__=='__main__':
    get_response()
Menjalankan kode menghasilkan output berikut: 
{'id': 'chatcmpl-31042a05-c968-4fc6-ba28-c3aa471258dc', 'choices': [{'delta': {'content': '', 'function_call': None, 'refusal': None, 'role': 'assistant', 'tool_calls': None}, 'finish_reason': None, 'index': 0, 'logprobs': None}], 'created': 1765780318, 'model': 'qwen-vl-plus', 'object': 'chat.completion.chunk', 'service_tier': None, 'system_fingerprint': None, 'usage': None}
{'id': 'chatcmpl-31042a05-c968-4fc6-ba28-c3aa471258dc', 'choices': [{'delta': {'content': 'This', 'function_call': None, 'refusal': None, 'role': None, 'tool_calls': None}, 'finish_reason': None, 'index': 0, 'logprobs': None}], 'created': 1765780318, 'model': 'qwen-vl-plus', 'object': 'chat.completion.chunk', 'service_tier': None, 'system_fingerprint': None, 'usage': None}
{'id': 'chatcmpl-31042a05-c968-4fc6-ba28-c3aa471258dc', 'choices': [{'delta': {'content': ' photo', 'function_call': None, 'refusal': None, 'role': None, 'tool_calls': None}, 'finish_reason': None, 'index': 0, 'logprobs': None}], 'created': 1765780318, 'model': 'qwen-vl-plus', 'object': 'chat.completion.chunk', 'service_tier': None, 'system_fingerprint': None, 'usage': None}
{'id': 'chatcmpl-31042a05-c968-4fc6-ba28-c3aa471258dc', 'choices': [{'delta': {'content': ' shows', 'function_call': None, 'refusal': None, 'role': None, 'tool_calls': None}, 'finish_reason': None, 'index': 0, 'logprobs': None}], 'created': 1765780318, 'model': 'qwen-vl-plus', 'object': 'chat.completion.chunk', 'service_tier': None, 'system_fingerprint': None, 'usage': None}

......

{'id': 'chatcmpl-31042a05-c968-4fc6-ba28-c3aa471258dc', 'choices': [{'delta': {'content': ' moment', 'function_call': None, 'refusal': None, 'role': None, 'tool_calls': None}, 'finish_reason': None, 'index': 0, 'logprobs': None}], 'created': 1765780318, 'model': 'qwen-vl-plus', 'object': 'chat.completion.chunk', 'service_tier': None, 'system_fingerprint': None, 'usage': None}
{'id': 'chatcmpl-31042a05-c968-4fc6-ba28-c3aa471258dc', 'choices': [{'delta': {'content': '.', 'function_call': None, 'refusal': None, 'role': None, 'tool_calls': None}, 'finish_reason': None, 'index': 0, 'logprobs': None}], 'created': 1765780318, 'model': 'qwen-vl-plus', 'object': 'chat.completion.chunk', 'service_tier': None, 'system_fingerprint': None, 'usage': None}
{'id': 'chatcmpl-31042a05-c968-4fc6-ba28-c3aa471258dc', 'choices': [{'delta': {'content': '', 'function_call': None, 'refusal': None, 'role': None, 'tool_calls': None}, 'finish_reason': 'stop', 'index': 0, 'logprobs': None}], 'created': 1765780318, 'model': 'qwen-vl-plus', 'object': 'chat.completion.chunk', 'service_tier': None, 'system_fingerprint': None, 'usage': None}
{'id': 'chatcmpl-31042a05-c968-4fc6-ba28-c3aa471258dc', 'choices': [], 'created': 1765780318, 'model': 'qwen-vl-plus', 'object': 'chat.completion.chunk', 'service_tier': None, 'system_fingerprint': None, 'usage': {'completion_tokens': 230, 'prompt_tokens': 1259, 'total_tokens': 1489, 'completion_tokens_details': {'accepted_prediction_tokens': None, 'audio_tokens': None, 'reasoning_tokens': None, 'rejected_prediction_tokens': None, 'text_tokens': 230}, 'prompt_tokens_details': {'audio_tokens': None, 'cached_tokens': 0}}}

LangChain OpenAI SDK

Prasyarat

  • Pastikan Python telah terinstal di komputer Anda.
  • Instal SDK langchain_openai dengan menjalankan perintah berikut. 
# Jika perintah berikut gagal, ganti pip dengan pip3
pip install -U langchain_openai
  • Anda perlu mengaktifkan Model Studio dan mendapatkan kunci API. Untuk detailnya, lihat Dapatkan kunci API.
  • Kami menyarankan Anda mengonfigurasi kunci API sebagai variabel lingkungan untuk mengurangi risiko kebocoran. Untuk detailnya, lihat Konfigurasikan kunci API sebagai variabel lingkungan. Anda juga dapat mengonfigurasi kunci API langsung di dalam kode, tetapi hal ini meningkatkan risiko kebocoran.

Penggunaan

Anda dapat menggunakan contoh berikut untuk memanggil model vision Qwen melalui SDK langchain_openai.

Keluaran non-streaming

Keluaran non-streaming menggunakan metode invoke. Lihat contoh kode berikut: 
from langchain_openai import ChatOpenAI
import os

def get_response():
    llm = ChatOpenAI(
      # Kunci API bervariasi berdasarkan wilayah. Dapatkan kunci API: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
      api_key=os.getenv("DASHSCOPE_API_KEY"),
      # base_url Singapore. Ganti {WorkspaceId} dengan workspace ID Anda yang sebenarnya. URL bervariasi berdasarkan wilayah.
      base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
      model="qwen3-vl-plus",
      )
    messages= [
            {
              "role": "user",
              "content": [
                {
                  "type": "text",
                  "text": "What is this"
                },
                {
                  "type": "image_url",
                  "image_url": {
                    "url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"
                  }
                }
              ]
            }
          ]
    response = llm.invoke(messages)
    print(response.content)

if __name__ == "__main__":
    get_response()
Menjalankan kode menghasilkan output berikut: 
{
  “content”: “This photo shows a woman and a dog interacting warmly on a beach. Here is a detailed description:\n\n1. **Scene**:\n   - The photo is taken on a beach with the ocean and sky in the background.\n   - The sun is about to set or has just risen, casting warm golden light on the sand.\n\n2. **Person**:\n   - A woman is sitting on the sand, wearing a plaid shirt and dark pants.\n   - She is smiling, appearing very happy and relaxed.\n\n3. **Animal**:\n   - A yellow Labrador retriever is sitting next to the woman.\n   - The dog is wearing a colorful harness and appears healthy and friendly.\n   - The dog has placed its paw gently on the woman's hand, as if performing a \”handshake\” gesture.\n\n4. **Interaction**:\n   - The interaction between the woman and the dog appears very intimate and joyful.\n   - This interaction showcases the deep bond between humans and their pets.\n\n5. **Atmosphere**:\n   - The overall atmosphere is very serene and beautiful, giving a sense of relaxation and happiness.\n   - The sound of waves and the beauty of the sunset add a romantic touch to this scene.\n\nThis photo captures a simple and beautiful moment, showcasing the harmonious relationship between humans and their pets, as well as the tranquility and beauty that nature brings.”,
  "additional_kwargs": {
    "refusal": null
  },
  "response_metadata": {
    "token_usage": {
      "completion_tokens": 267,
      "prompt_tokens": 1259,
      "total_tokens": 1526,
      "completion_tokens_details": {
        "accepted_prediction_tokens": null,
        "audio_tokens": null,
        "reasoning_tokens": null,
        "rejected_prediction_tokens": null,
        "text_tokens": 267
      },
      "prompt_tokens_details": {
        "audio_tokens": null,
        "cached_tokens": 0
      }
    },
    "model_provider": "openai",
    "model_name": "qwen-vl-plus",
    "system_fingerprint": null,
    "id": "chatcmpl-9f3eba85-4f7a-4f73-b254-220a650xxxxx",
    "finish_reason": "stop",
    "logprobs": null
  },
  "type": "ai",
  "name": null,
  "id": "lc_run--019b1191-f411-7153-ac51-b8b0410xxxxx-0",
  "tool_calls": [],
  "invalid_tool_calls": [],
  "usage_metadata": {
    "input_tokens": 1259,
    "output_tokens": 267,
    "total_tokens": 1526,
    "input_token_details": {
      "cache_read": 0
    },
    "output_token_details": {}
  }
}

Keluaran streaming

Contoh berikut tidak berlaku untuk model QVQ. Untuk penggunaan QVQ, lihat Visual reasoning. 
from langchain_openai import ChatOpenAI
import os

def get_response():
    llm = ChatOpenAI(
        # Kunci API bervariasi berdasarkan wilayah. Dapatkan kunci API: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        # base_url Singapore. Ganti {WorkspaceId} dengan workspace ID Anda yang sebenarnya. URL bervariasi berdasarkan wilayah.
        base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
        model="qwen3-vl-plus",
        # Tampilkan informasi penggunaan token pada baris terakhir keluaran streaming
        stream_options={"include_usage": True}
    )
    messages= [
            {
              "role": "user",
              "content": [
                {
                  "type": "text",
                  "text": "What is this"
                },
                {
                  "type": "image_url",
                  "image_url": {
                    "url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"
                  }
                }
              ]
            }
          ]
    response = llm.stream(messages)
    for chunk in response:
        print(chunk.json())

if __name__ == "__main__":
    get_response()
Menjalankan kode menghasilkan contoh output berikut: 
{"content": "", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": "This", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " image", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " shows", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " a dog", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " and a young", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " girl. The dog looks", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " friendly and is likely", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " a pet, while the girl", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " seems to be interacting", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " or playing with the dog.", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " This is an image depicting", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " the warm bond between", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": " humans and animals.", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": "", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": "", "additional_kwargs": {}, "response_metadata": {"finish_reason": "stop"}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": null, "tool_call_chunks": []}
{"content": "", "additional_kwargs": {}, "response_metadata": {}, "type": "AIMessageChunk", "name": null, "id": "run-xxx", "example": false, "tool_calls": [], "invalid_tool_calls": [], "usage_metadata": {"input_tokens": 23, "output_tokens": 40, "total_tokens": 63}, "tool_call_chunks": []}
Untuk konfigurasi parameter input, lihat OpenAI compatible - Chat. Parameter terkait didefinisikan dalam objek ChatOpenAI.

HTTP

Anda dapat memanggil model vision Qwen melalui antarmuka HTTP dan mendapatkan respons dengan struktur yang sama seperti saat memanggil layanan OpenAI melalui HTTP.

Prasyarat

  • Anda perlu mengaktifkan Model Studio dan mendapatkan kunci API. Untuk detailnya, lihat Dapatkan kunci API.
  • Kami menyarankan Anda mengonfigurasi kunci API sebagai variabel lingkungan untuk mengurangi risiko kebocoran. Untuk detailnya, lihat Konfigurasikan kunci API sebagai variabel lingkungan. Anda juga dapat mengonfigurasi kunci API langsung di dalam kode, tetapi hal ini meningkatkan risiko kebocoran.

Titik akhir API 

Singapore: POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions
Japan (Tokyo): POST https://{WorkspaceId}.ap-northeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions
US (Virginia): POST https://{WorkspaceId}.us-east-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions
China (Beijing): POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions
China (Hong Kong): POST https://cn-hongkong.{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions

Contoh permintaan

Contoh berikut menunjukkan cara memanggil API menggunakan perintah cURL.
Jika Anda belum mengonfigurasi kunci API sebagai variabel lingkungan, ganti $DASHSCOPE_API_KEY dengan kunci API Anda*.*

Keluaran non-streaming 

# ======= Penting =======
# Kunci API bervariasi berdasarkan wilayah. Dapatkan kunci API: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# URL Singapore. Ganti {WorkspaceId} dengan workspace ID Anda yang sebenarnya. URL bervariasi berdasarkan wilayah.

curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
  "model": "qwen3-vl-plus",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What are these"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"
          }
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"
          }
        }
      ]
    }
  ]
}'
Menjalankan perintah menghasilkan output berikut: 
{
  "choices": [
    {
      "message": {
        "content": "Image 1 shows a woman and her pet dog interacting on the beach, with the dog raising its front paw as if trying to shake hands.\nImage 2 is a CG-rendered image of a tiger.",
        "role": "assistant"
      },
      "finish_reason": "stop",
      "index": 0,
      "logprobs": null
    }
  ],
  "object": "chat.completion",
  "usage": {
    "prompt_tokens": 2509,
    "completion_tokens": 34,
    "total_tokens": 2543
  },
  "created": 1724729556,
  "system_fingerprint": null,
  "model": "qwen-vl-plus",
  "id": "chatcmpl-1abb4eb9-f508-9637-a8ba-ac7fc6f73e53"
}

Keluaran streaming

Untuk menggunakan keluaran streaming, atur parameter stream ke true dalam badan permintaan. 
# ======= Penting =======
# Kunci API bervariasi berdasarkan wilayah. Dapatkan kunci API: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# URL Singapore. Ganti {WorkspaceId} dengan workspace ID Anda yang sebenarnya. URL bervariasi berdasarkan wilayah.

curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model": "qwen3-vl-plus",
    "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What is this"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"
          }
        }
      ]
    }
  ],
    "stream":true,
    "stream_options":{"include_usage":true}
}'
Menjalankan perintah menghasilkan output berikut: 
data: {"choices":[{"delta":{"content":"","role":"assistant"},"index":0,"logprobs":null,"finish_reason":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"finish_reason":null,"delta":{"content":"The"},"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" image"},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" shows a woman"},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" and her dog on"},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" the beach. The dog is sitting,"},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" reaching out its paw as if to shake"},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" hands. The woman is wearing a plaid"},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" shirt and appears to be closely"},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" interacting with the dog, smiling."},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" The background features the ocean and a sunrise"},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" or sunset sky. This is a"},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"delta":{"content":" warm and heartfelt photo, capturing a"},"finish_reason":null,"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[{"finish_reason":"stop","delta":{"content":" moment of friendship between humans and pets."},"index":0,"logprobs":null}],"object":"chat.completion.chunk","usage":null,"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: {"choices":[],"object":"chat.completion.chunk","usage":{"prompt_tokens":1276,"completion_tokens":79,"total_tokens":1355},"created":1724729595,"system_fingerprint":null,"model":"qwen-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: [DONE]
Untuk detail parameter input, lihat OpenAI compatible - Chat.

Contoh respons error

Jika permintaan gagal, respons mencakup bidang code dan message untuk menunjukkan penyebab error. 
{
    "error": {
        "message": "Incorrect API key provided. ",
        "type": "invalid_request_error",
        "param": null,
        "code": "invalid_api_key"
    }
}

Kode status

Untuk informasi kode status, lihat OpenAI compatible - Chat.
Penggunaan API
Generasi teks
Pembuatan Gambar
  • FAQ
Video Generation
Model Dunia
Audio
  • Pembuatan audio
Real-time multimodal
Realtime API
Penyematan Teks
Lainnya Model
Toolkit/Framework
TokenPlan
Model production
Manajemen file
Penagihan
Manajemen Model
Lebih Banyak Tentang Model