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Compatible con OpenAI - Visión

Los modelos de visión Qwen en Alibaba Cloud Model Studio son compatibles con la especificación de interfaz de OpenAI. Solo necesita modificar tres parámetros para migrar sus aplicaciones existentes de OpenAI a Model Studio:

  • base_url:
    • China (Pekín): https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1
    • Singapur: https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1. Reemplace {WorkspaceId} con su ID de espacio de trabajo real.
    • Japón (Tokio): https://{WorkspaceId}.ap-northeast-1.maas.aliyuncs.com/compatible-mode/v1. Reemplace {WorkspaceId} con su ID de espacio de trabajo real.
    • EE. UU. (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. Reemplace WorkspaceId con su ID de espacio de trabajo real.
  • api_key: Reemplace con su clave de API de Model Studio
  • model: Reemplace con un nombre de modelo de la siguiente lista
Alibaba Cloud Model Studio ha lanzado dominios específicos de espacio de trabajo para las regiones de China (Pekín), Singapur y China (Hong Kong). Los nuevos dominios dedicados ofrecen un rendimiento superior y una mayor estabilidad para las solicitudes de inferencia. Recomendamos migrar a los nuevos dominios:
  • China (Pekín): de https://dashscope.aliyuncs.com a https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com
  • Singapur: de https://dashscope-intl.aliyuncs.com a https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com
  • China (Hong Kong): de https://cn-hongkong.dashscope.aliyuncs.com a https://{WorkspaceId}.cn-hongkong.maas.aliyuncs.com
{WorkspaceId} es su ID de espacio de trabajo, que se encuentra en la página Workspace Details de la consola de Alibaba Cloud Model Studio. El dominio existente permanece totalmente funcional.

Modelos admitidos

Modelos compatibles: Qwen-VL, QVQ, Qwen-OCR
Los modelos disponibles varían según la región. Para más detalles, consulte la consola de Model Studio.

Invocación de modelos

Ejemplos

Esta sección proporciona ejemplos de llamadas en streaming para Python (SDK de OpenAI y SDK de LangChain_OpenAI) y cURL (HTTP). Para más lenguajes de programación o ejemplos de métodos de entrada, consulte Ejemplos de solicitudes de visión.
Los modelos QVQ solo admiten salida en streaming. Para más detalles, consulte Habilitar o deshabilitar el modo de pensamiento.
  • SDK de OpenAI
from openai import OpenAI
import os

def get_response():
    client = OpenAI(
    # API keys vary by region. Obtain an API key: https://www.alibabacloud.com/help/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # Singapore base_url. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
    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()
La ejecución del código produce el siguiente resultado: 
{'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': 'qwen3-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': 'qwen3-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': 'qwen3-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': 'qwen3-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': 'qwen3-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': 'qwen3-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': 'qwen3-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': 'qwen3-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}}}

SDK de LangChain OpenAI

Requisitos previos

  • Asegúrese de que Python esté instalado en su equipo.
  • Instale el SDK de langchain_openai ejecutando el siguiente comando. 
# If the following command fails, replace pip with pip3
pip install -U langchain_openai
  • Debe activar Model Studio y obtener una clave de API. Para más detalles, consulte Obtener una clave de API.
  • Le recomendamos configurar la clave de API como variable de entorno para reducir el riesgo de filtración. Para más detalles, consulte Configurar la clave de API como variable de entorno. También puede configurar la clave de API directamente en el código, pero esto aumenta el riesgo de filtración.

Uso

Puede utilizar los siguientes ejemplos para llamar a los modelos de visión de Qwen a través del SDK de langchain_openai.

Salida sin streaming

La salida sin streaming utiliza el método invoke. Consulte el siguiente código de ejemplo: 
from langchain_openai import ChatOpenAI
import os

def get_response():
    llm = ChatOpenAI(
      # API keys vary by region. Obtain an API key: https://www.alibabacloud.com/help/model-studio/get-api-key
      api_key=os.getenv("DASHSCOPE_API_KEY"),
      # Singapore base_url. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
      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()
La ejecución del código produce el siguiente resultado: 
{
  “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": "qwen3-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": {}
  }
}

Salida por secuencias

Los siguientes ejemplos no se aplican a los modelos QVQ. Para el uso de QVQ, consulte Habilitar o deshabilitar el modo de pensamiento. 
from langchain_openai import ChatOpenAI
import os

def get_response():
    llm = ChatOpenAI(
        # API keys vary by region. Obtain an API key: https://www.alibabacloud.com/help/model-studio/get-api-key
        api_key=os.getenv("DASHSCOPE_API_KEY"),
        # Singapore base_url. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
        base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
        model="qwen3-vl-plus",
        # Display token usage information in the last line of streaming output
        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()
La ejecución del código produce el siguiente resultado de ejemplo: 
{"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": []}
Para la configuración de parámetros de entrada, consulte Compatible con OpenAI - Chat. Los parámetros relacionados se definen en el objeto ChatOpenAI.

HTTP

Puede llamar a los modelos de visión de Qwen a través de la interfaz HTTP y obtener respuestas con la misma estructura que al llamar a los servicios de OpenAI mediante HTTP.

Requisitos previos

  • Debe activar Model Studio y obtener una clave de API. Para más detalles, consulte Obtener una clave de API.
  • Le recomendamos configurar la clave de API como variable de entorno para reducir el riesgo de filtración. Para más detalles, consulte Configurar la clave de API como variable de entorno. También puede configurar la clave de API directamente en el código, pero esto aumenta el riesgo de filtración.

Endpoints de 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

Ejemplos de solicitud

Los siguientes ejemplos muestran cómo llamar a la API mediante comandos de cURL.
Si no ha configurado la clave de API como variable de entorno, reemplace $DASHSCOPE_API_KEY con su clave de API.

Salida sin streaming 

# ======= Important =======
# API keys vary by region. Obtain an API key: https://www.alibabacloud.com/help/model-studio/get-api-key
# Singapore URL. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.

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"
          }
        }
      ]
    }
  ]
}'
La ejecución del comando produce el siguiente resultado: 
{
  "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": "qwen3-vl-plus",
  "id": "chatcmpl-1abb4eb9-f508-9637-a8ba-ac7fc6f73e53"
}

Salida por secuencias

Para utilizar la salida en streaming, establezca el parámetro stream en true en el cuerpo de la solicitud. 
# ======= Important =======
# API keys vary by region. Obtain an API key: https://www.alibabacloud.com/help/model-studio/get-api-key
# Singapore URL. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.

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}
}'
La ejecución del comando produce el siguiente resultado: 
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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-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":"qwen3-vl-plus","id":"chatcmpl-4c83f437-303f-907b-9de5-79cac83d6b18"}

data: [DONE]
Para obtener detalles sobre los parámetros de entrada, consulte Compatible con OpenAI - Chat.

Ejemplo de respuesta de error

Si la solicitud falla, la respuesta incluye los campos code y message para indicar la causa del error. 
{
    "error": {
        "message": "Incorrect API key provided. ",
        "type": "invalid_request_error",
        "param": null,
        "code": "invalid_api_key"
    }
}

Códigos de estado

Para obtener información sobre los códigos de estado, consulte Compatible con OpenAI - Chat.