Alibaba Cloud Model Studio:Compreensão de imagens e vídeos

Python

import os
from openai import OpenAI

client = OpenAI(
    # If the environment variable is not configured, replace the following line with your Model Studio API key: api_key="sk-xxx",
    # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
    base_url="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1",
)

completion = client.chat.completions.create(
    model="qwen3.8-max", # This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/zh/model-studio/models
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"
                    },
                },
                {"type": "text", "text": "What scene is depicted in the image?"},
            ],
        },
    ],
)
print(completion.choices[0].message.content)

from openai import OpenAI
import os

client = OpenAI(
    # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The following URL is for the Singapore region. When you make a call, 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="qwen3.8-max",  # This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": {
                        "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"
                    },
                },
                {"type": "text", "text": "What scene is depicted in the image?"},
            ],
        },
    ],
)
print(completion.choices[0].message.content)

Resposta

This is a photo taken on a beach. In the photo, a person and a dog are sitting on the sand with the sea and sky in the background. The person and the dog seem to be interacting, with the dog's front paw on the person's hand. Sunlight shines from the right side of the frame, adding a warm atmosphere to the scene.

Node.js

import OpenAI from "openai";

const openai = new OpenAI({
    // If the environment variable is not configured, replace the following line with your Model Studio API key: apiKey: "sk-xxx"
   // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
  apiKey: process.env.DASHSCOPE_API_KEY,
  // The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
  baseURL: "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1"
});

async function main() {
  const response = await openai.chat.completions.create({
    model: "qwen3.8-max",  // This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/zh/model-studio/models
    messages: [
      {
        role: "user",
        content: [{
            type: "image_url",
            image_url: {
              "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"
            }
          },
          {
            type: "text",
            text: "What scene is depicted in the image?"
          }
        ]
      }
    ]
  });
  console.log(response.choices[0].message.content);
}
main()

import OpenAI from "openai";

const openai = new OpenAI({
  // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
  // If the environment variable is not configured, replace the following line with your Model Studio API key: apiKey: "sk-xxx"
  apiKey: process.env.DASHSCOPE_API_KEY,
  // The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
  baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
});

async function main() {
  const response = await openai.chat.completions.create({
    model: "qwen3.8-max",   // This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages: [
      {
        role: "user",
        content: [{
            type: "image_url",
            image_url: {
              "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"
            }
          },
          {
            type: "text",
            text: "What scene is depicted in the image?"
          }
        ]
      }
    ]
  });
  console.log(response.choices[0].message.content);
}
main()

Resposta

This is a photo taken on a beach. In the photo, a person and a dog are sitting on the sand with the sea and sky in the background. The person and the dog seem to be interacting, with the dog's front paw on the person's hand. Sunlight shines from the right side of the frame, adding a warm atmosphere to the scene.

Java

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.core.http.StreamResponse;
import com.openai.models.chat.completions.*;

import java.util.List;

public class Main {
    public static void main(String[] args) {
        // Create a client using the API key from the environment variable
        OpenAIClient client = OpenAIOkHttpClient.builder()
                // If you have not set an environment variable, replace the following line with your Bailian API key: .apiKey("sk-xxx")
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                // The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
                .baseUrl("https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1")
                .build();

        // Build the multimodal message content: image + text
        ChatCompletionContentPart imagePart = ChatCompletionContentPart.ofImageUrl(
                ChatCompletionContentPartImage.builder()
                        .imageUrl(ChatCompletionContentPartImage.ImageUrl.builder()
                                .url("https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg")
                                .build())
                        .build());
        ChatCompletionContentPart textPart = ChatCompletionContentPart.ofText(
                ChatCompletionContentPartText.builder()
                        .text("What scene is depicted in the image?")
                        .build());

        // Create a chat request
        ChatCompletionCreateParams chatParams = ChatCompletionCreateParams.builder()
                // This example uses qwen3.8-max. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/zh/model-studio/models
                .model("qwen3.8-max")
                .addUserMessageOfArrayOfContentParts(List.of(imagePart, textPart))
                .build();

        StringBuilder fullResponse = new StringBuilder();

        // All code examples use streaming output to clearly show the model output process. For a non-streaming example, see https://www.alibabacloud.com/help/zh/model-studio/text-generation
        try (StreamResponse<ChatCompletionChunk> streamResponse = client.chat().completions().createStreaming(chatParams)) {
            streamResponse.stream().forEach(chunk -> {
                System.out.println(chunk);
                String content = chunk.choices().get(0).delta().content().orElse("");
                if (!content.isEmpty()) {
                    fullResponse.append(content);
                }
            });
            System.out.println(fullResponse);
        } catch (Exception e) {
            System.err.println("Error message: " + e.getMessage());
            System.err.println("See: https://www.alibabacloud.com/help/zh/model-studio/developer-reference/error-code");
        }
    }
}

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.core.http.StreamResponse;
import com.openai.models.chat.completions.*;

import java.util.List;

public class Main {
    public static void main(String[] args) {
        // Create a client using the API key from the environment variable
        OpenAIClient client = OpenAIOkHttpClient.builder()
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
                // If you have not set an environment variable, replace the following line with your Bailian API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                // The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
                .baseUrl("https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1")
                .build();

        // Build the multimodal message content: image + text
        ChatCompletionContentPart imagePart = ChatCompletionContentPart.ofImageUrl(
                ChatCompletionContentPartImage.builder()
                        .imageUrl(ChatCompletionContentPartImage.ImageUrl.builder()
                                .url("https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg")
                                .build())
                        .build());
        ChatCompletionContentPart textPart = ChatCompletionContentPart.ofText(
                ChatCompletionContentPartText.builder()
                        .text("What scene is depicted in the image?")
                        .build());

        // Create a chat request
        ChatCompletionCreateParams chatParams = ChatCompletionCreateParams.builder()
                // This example uses qwen3.8-max. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
                .model("qwen3.8-max")
                .addUserMessageOfArrayOfContentParts(List.of(imagePart, textPart))
                .build();

        StringBuilder fullResponse = new StringBuilder();

        // All code examples use streaming output to clearly show the model output process. For a non-streaming example, see https://www.alibabacloud.com/help/zh/model-studio/text-generation
        try (StreamResponse<ChatCompletionChunk> streamResponse = client.chat().completions().createStreaming(chatParams)) {
            streamResponse.stream().forEach(chunk -> {
                System.out.println(chunk);
                String content = chunk.choices().get(0).delta().content().orElse("");
                if (!content.isEmpty()) {
                    fullResponse.append(content);
                }
            });
            System.out.println(fullResponse);
        } catch (Exception e) {
            System.err.println("Error message: " + e.getMessage());
            System.err.println("See: https://www.alibabacloud.com/help/zh/model-studio/developer-reference/error-code");
        }
    }
}

Resposta

This is a photo taken on a beach. In the photo, a person and a dog are sitting on the sand with the sea and sky in the background. The person and the dog seem to be interacting, with the dog's front paw on the person's hand. Sunlight shines from the right side of the frame, adding a warm atmosphere to the scene.

curl

# ======= Important notes =======
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
# === Delete this comment before execution ===

curl --location 'https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
  "model": "qwen3.8-max",
  "messages": [
  {
    "role": "user",
    "content": [
      {"type": "image_url", "image_url": {"url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"}},
      {"type": "text", "text": "What scene is depicted in the image?"}
    ]
  }]
}'

# ======= Important notes =======
# The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# === Delete this comment before execution ===

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": "qwen3.8-max",
  "messages": [
    {"role": "user",
     "content": [
        {"type": "image_url", "image_url": {"url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"}},
        {"type": "text", "text": "What scene is depicted in the image?"}
    ]
  }]
}'

Resposta

{
  "choices": [
    {
      "message": {
        "content": "This is a photo taken on a beach. In the photo, a person and a dog are sitting on the sand with the sea and sky in the background. The person and the dog seem to be interacting, with the dog's front paw on the person's hand. Sunlight shines from the right side of the frame, adding a warm atmosphere to the scene.",
        "role": "assistant"
      },
      "finish_reason": "stop",
      "index": 0,
      "logprobs": null
    }
  ],
  "object": "chat.completion",
  "usage": {
    "prompt_tokens": 1270,
    "completion_tokens": 54,
    "total_tokens": 1324
  },
  "created": 1725948561,
  "system_fingerprint": null,
  "model": "qwen3.8-max",
  "id": "chatcmpl-0fd66f46-b09e-9164-a84f-3ebbbedbac15"
}

Python

import os
import dashscope

# A configuração abaixo refere-se à região Pequim. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    workspace="{WorkspaceId}",
    region="cn-beijing",
)

messages = [
{
    "role": "user",
    "content": [
    {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
    {"text": "What scene is depicted in the image?"}]
}]
response = client.multimodal.chat.create(
    model='qwen3.7-plus',  # Este exemplo usa qwen3.7-plus. Você pode substituí-lo por outro modelo conforme necessário. Para obter a lista de modelos, consulte https://www.alibabacloud.com/help/zh/model-studio/models
    messages=messages
)
print(response.output_text)

import os
import dashscope

# A configuração abaixo refere-se à região Singapura. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/en/model-studio/get-api-key
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

messages = [
{
    "role": "user",
    "content": [
    {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
    {"text": "What scene is depicted in the image?"}]
}]

response = client.multimodal.chat.create(
    model='qwen3.7-plus',   # Este exemplo usa qwen3.7-plus. Você pode substituí-lo por outro modelo conforme necessário. Para obter a lista de modelos, consulte https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=messages
)

print(response.output_text)

Resposta

This is a photo taken on a beach. The photo shows a woman and a dog. The woman is sitting on the sand, smiling and interacting with the dog. The dog is wearing a collar and seems to be shaking hands with the woman. The background is the sea and the sky, and the sunlight shining on them creates a warm atmosphere.

Java

import java.util.Arrays;
import java.util.Collections;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.JsonUtils;
import com.alibaba.dashscope.utils.Constants;

public class Main {

    // The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
    static {Constants.baseHttpApiUrl="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";}

    public static void simpleMultiModalConversationCall()
            throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(
                        Collections.singletonMap("image", "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"),
                        Collections.singletonMap("text", "What scene is depicted in the image?"))).build();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                 // If the environment variable is not configured, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                 // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3.8-max")  // This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/zh/model-studio/models
                .messages(Arrays.asList(userMessage))
                .build();
        MultiModalConversationResult result = conv.call(param);
        System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));
    }
    public static void main(String[] args) {
        try {
            simpleMultiModalConversationCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

import java.util.Arrays;
import java.util.Collections;

import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;

public class Main {

    // The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
    static {
        Constants.baseHttpApiUrl="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    public static void simpleMultiModalConversationCall()
            throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(
                        Collections.singletonMap("image", "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"),
                        Collections.singletonMap("text", "What scene is depicted in the image?"))).build();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
                // If the environment variable is not configured, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3.8-max")  //  This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
                .messages(Arrays.asList(userMessage))
                .build();
        MultiModalConversationResult result = conv.call(param);
        System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));
    }
    public static void main(String[] args) {
        try {
            simpleMultiModalConversationCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

Resposta

This is a photo taken on a beach. The photo shows a person in a plaid shirt and a dog wearing a collar. The person and the dog are sitting face to face, seemingly interacting. The background is the sea and the sky, and the sunlight shining on them creates a warm atmosphere.

curl

# ======= Important notes =======
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen3.8-max",
    "input":{
        "messages":[
            {
                "role": "user",
                "content": [
                    {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
                    {"text": "What scene is depicted in the image?"}
                ]
            }
        ]
    }
}'

# ======= Important notes =======
# The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen3.8-max",
    "input":{
        "messages":[
            {
                "role": "user",
                "content": [
                    {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
                    {"text": "What scene is depicted in the image?"}
                ]
            }
        ]
    }
}'

Resposta

{
  "output": {
    "choices": [
      {
        "finish_reason": "stop",
        "message": {
          "role": "assistant",
          "content": [
            {
              "text": "This is a photo taken on a beach. The photo shows a person in a plaid shirt and a dog wearing a collar. They are sitting on the sand with the sea and sky in the background. Sunlight shines from the right side of the frame, adding a warm atmosphere to the scene."
            }
          ]
        }
      }
    ]
  },
  "usage": {
    "output_tokens": 55,
    "input_tokens": 1271,
    "image_tokens": 1247
  },
  "request_id": "ccf845a3-dc33-9cda-b581-20fe7dc23f70"
}

Python

import os
from openai import OpenAI

client = OpenAI(
    # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
    base_url="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
    model="qwen3.8-max", # This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/zh/model-studio/models
    messages=[
       {"role": "user","content": [
           {"type": "image_url","image_url": {"url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},},
           {"type": "image_url","image_url": {"url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"},},
           {"type": "text", "text": "What content do these images depict?"},
            ],
        }
    ],
)

print(completion.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
    # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The following URL is for the Singapore region. When you make a call, 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="qwen3.8-max",  #  This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=[
        {"role": "user","content": [
            {"type": "image_url","image_url": {"url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},},
            {"type": "image_url","image_url": {"url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"},},
            {"type": "text", "text": "What content do these images depict?"},
            ],
        }
    ],
)

print(completion.choices[0].message.content)

Resposta

Image 1 shows a scene of a woman and a Labrador retriever interacting on a beach. The woman is wearing a plaid shirt and sitting on the sand, shaking hands with the dog. The background is the ocean waves and the sky, and the whole picture is full of warmth and joy.

Image 2 shows a scene of a tiger walking in a forest. The tiger's coat is orange with black stripes. It is stepping forward, surrounded by dense trees and vegetation, and the ground is covered with fallen leaves. The whole picture gives a feeling of wild nature.

Node.js

import OpenAI from "openai";

const openai = new OpenAI(
    {
        // If the environment variable is not configured, replace the following line with your Model Studio API key: apiKey: "sk-xxx"
        // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        apiKey: process.env.DASHSCOPE_API_KEY,
        // The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
        baseURL: "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1"
    }
);

async function main() {
    const response = await openai.chat.completions.create({
        model: "qwen3.8-max",  // This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/zh/model-studio/models
        messages: [
          {role: "user",content: [
            {type: "image_url",image_url: {"url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"}},
            {type: "image_url",image_url: {"url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"}},
            {type: "text", text: "What content do these images depict?" },
        ]}]
    });
    console.log(response.choices[0].message.content);
}

main()

import OpenAI from "openai";

const openai = new OpenAI(
    {
        // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
        // If the environment variable is not configured, replace the following line with your Model Studio API key: apiKey: "sk-xxx"
        apiKey: process.env.DASHSCOPE_API_KEY,
        // The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
        baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
    }
);

async function main() {
    const response = await openai.chat.completions.create({
        model: "qwen3.8-max",  // This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
        messages: [
          {role: "user",content: [
            {type: "image_url",image_url: {"url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"}},
            {type: "image_url",image_url: {"url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"}},
            {type: "text", text: "What content do these images depict?" },
        ]}]
    });
    console.log(response.choices[0].message.content);
}

main()

Resposta

In the first image, a person and a dog are interacting on a beach. The person is wearing a plaid shirt, and the dog is wearing a collar. They seem to be shaking hands or giving a high-five.

In the second image, a tiger is walking in a forest. The tiger's coat is orange with black stripes, and the background is green trees and vegetation.

curl

# ======= Important notes =======
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
  "model": "qwen3.8-max",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"
          }
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"
          }
        },
        {
          "type": "text",
          "text": "What content do these images depict?"
        }
      ]
    }
  ]
}'

# ======= Important notes =======
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
  "model": "qwen3.8-max",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"
          }
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"
          }
        },
        {
          "type": "text",
          "text": "What content do these images depict?"
        }
      ]
    }
  ]
}'

Resposta

{
  "choices": [
    {
      "message": {
        "content": "Image 1 shows a scene of a woman and a Labrador retriever interacting on a beach. The woman is wearing a plaid shirt and sitting on the sand, shaking hands with the dog. The background is a sea view and a sunset sky, making the whole scene look very warm and harmonious.\n\nImage 2 shows a scene of a tiger walking in a forest. The tiger's coat is orange with black stripes. It is stepping forward, surrounded by dense trees and vegetation, and the ground is covered with fallen leaves. The whole picture is full of natural wildness and vitality.",
        "role": "assistant"
      },
      "finish_reason": "stop",
      "index": 0,
      "logprobs": null
    }
  ],
  "object": "chat.completion",
  "usage": {
    "prompt_tokens": 2497,
    "completion_tokens": 109,
    "total_tokens": 2606
  },
  "created": 1725948561,
  "system_fingerprint": null,
  "model": "qwen3.8-max",
  "id": "chatcmpl-0fd66f46-b09e-9164-a84f-3ebbbedbac15"
}

Python

import os
import dashscope

# A configuração abaixo refere-se à região Pequim. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    workspace="{WorkspaceId}",
    region="cn-beijing",
)

messages = [
    {
        "role": "user",
        "content": [
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
            {"image": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"},
            {"text": "What content do these images depict?"}
        ]
    }
]

response = client.multimodal.chat.create(
    model='qwen3.7-plus', # Este exemplo usa qwen3.7-plus. Você pode substituí-lo por outro modelo conforme necessário. Para obter a lista de modelos, consulte https://www.alibabacloud.com/help/zh/model-studio/models
    messages=messages
)

print(response.output_text)

import os
import dashscope

# A configuração abaixo refere-se à região Singapura. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/en/model-studio/get-api-key
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

messages = [
    {
        "role": "user",
        "content": [
            {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
            {"image": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"},
            {"text": "What content do these images depict?"}
        ]
    }
]

response = client.multimodal.chat.create(
    model='qwen3.7-plus', #  Este exemplo usa qwen3.7-plus. Você pode substituí-lo por outro modelo conforme necessário. Para obter a lista de modelos, consulte https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=messages
)

print(response.output_text)

Resposta

These images show some animals and natural scenes. In the first image, a person and a dog are interacting on a beach. The second image is of a tiger walking in a forest.

Java

import java.util.Arrays;
import java.util.Collections;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import java.util.HashMap;
import com.alibaba.dashscope.utils.Constants;

public class Main {

    // The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
    static {Constants.baseHttpApiUrl="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";}

    public static void simpleMultiModalConversationCall()
            throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(
                        Collections.singletonMap("image", "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"),
                        Collections.singletonMap("image", "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"),
                        Collections.singletonMap("text", "What content do these images depict?"))).build();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // If the environment variable is not configured, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
               // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3.8-max")  // This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/zh/model-studio/models
                .messages(Arrays.asList(userMessage))
                .build();
        MultiModalConversationResult result = conv.call(param);
        System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));    }
    public static void main(String[] args) {
        try {
            simpleMultiModalConversationCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

import java.util.Arrays;
import java.util.Collections;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;

public class Main {
    static {
    // The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
        Constants.baseHttpApiUrl="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }
    public static void simpleMultiModalConversationCall()
            throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(
                        Collections.singletonMap("image", "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"),
                        Collections.singletonMap("image", "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"),
                        Collections.singletonMap("text", "What content do these images depict?"))).build();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3.8-max")  //  This example uses qwen3.7-plus. You can replace it with another model as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
                .messages(Arrays.asList(userMessage))
                .build();
        MultiModalConversationResult result = conv.call(param);
        System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));    }
    public static void main(String[] args) {
        try {
            simpleMultiModalConversationCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

Resposta

These images show some animals and natural scenes.

1. First image: A woman and a dog are interacting on a beach. The woman is wearing a plaid shirt and sitting on the sand, and the dog is wearing a collar and extending its paw to shake hands with the woman.
2. Second image: A tiger is walking in a forest. The tiger's coat is orange with black stripes, and the background is trees and leaves.

curl

# ======= Important notes =======
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# The following URL is for the China (Beijing) region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
# === Delete this comment before execution ===

curl --location 'https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model": "qwen3.8-max",
    "input":{
        "messages":[
            {
                "role": "user",
                "content": [
                    {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
                    {"image": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"},
                    {"text": "What content do these images show?"}
                ]
            }
        ]
    }
}'

# ======= Important notes =======
# The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# === Delete this comment before execution ===

curl --location 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--header 'Content-Type: application/json' \
--data '{
    "model": "qwen3.8-max",
    "input":{
        "messages":[
            {
                "role": "user",
                "content": [
                    {"image": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241022/emyrja/dog_and_girl.jpeg"},
                    {"image": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/tiger.png"},
                    {"text": "What content do these images show?"}
                ]
            }
        ]
    }
}'

Resposta

{
  "output": {
    "choices": [
      {
        "finish_reason": "stop",
        "message": {
          "role": "assistant",
          "content": [
            {
              "text": "These images show some animals and natural scenes. In the first image, a person and a dog are interacting on a beach. The second image is of a tiger walking in a forest."
            }
          ]
        }
      }
    ]
  },
  "usage": {
    "output_tokens": 81,
    "input_tokens": 1277,
    "image_tokens": 2497
  },
  "request_id": "ccf845a3-dc33-9cda-b581-20fe7dc23f70"
}

Compatível com OpenAI

Ao enviar um arquivo de vídeo diretamente para o modelo de compreensão visual usando o OpenAI SDK ou HTTP, defina o parâmetro "type" na mensagem do usuário como "video_url" .

import os
from openai import OpenAI

client = OpenAI(
    # API keys vary by region. To get an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    # If you have not configured the environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your 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="qwen3.8-max",
    messages=[
        {
            "role": "user",
            "content": [
                # When you pass a video file directly, set the value of type to video_url.
                {
                    "type": "video_url",
                    "video_url": {
                        "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241115/cqqkru/1.mp4"
                    },
                    "fps": 2
                },
                {
                    "type": "text",
                    "text": "What is the content of this video?"
                }
            ]
        }
    ]
)

print(completion.choices[0].message.content)

import OpenAI from "openai";

const openai = new OpenAI(
    {
        // API keys vary by region. To get an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        // If you have not configured the environment variable, replace the following line with your Model Studio API key: apiKey: "sk-xxx"
        apiKey: process.env.DASHSCOPE_API_KEY,
        // The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your workspace ID. URLs vary by region.
        baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
    }
);

async function main() {
    const response = await openai.chat.completions.create({
        model: "qwen3.8-max",
        messages: [
            {
                role: "user",
                content: [
                    // When you pass a video file directly, set the value of type to video_url.
                    {
                        type: "video_url",
                        video_url: {
                            "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241115/cqqkru/1.mp4"
                        },
                        "fps": 2
                    },
                    {
                        type: "text",
                        text: "What is the content of this video?"
                    }
                ]
            }
        ]
    });

    console.log(response.choices[0].message.content);
}

main();

# ======= Important =======
# API keys vary by region. To get an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your workspace ID. URLs vary by region.
# === Delete this comment before execution. ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions \
  -H "Authorization: Bearer $DASHSCOPE_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "qwen3.8-max",
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "type": "video_url",
            "video_url": {
              "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241115/cqqkru/1.mp4"
            },
            "fps":2
          },
          {
            "type": "text",
            "text": "What is the content of this video?"
          }
        ]
      }
    ]
  }'

DashScope

import dashscope
import os

# A configuração abaixo refere-se à região Singapura. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

messages = [
    {"role": "user",
        "content": [
            # O parâmetro fps controla a frequência de extração de quadros do vídeo, ou seja, um quadro é extraído a cada 1/fps segundos. Para o uso completo, consulte: https://www.alibabacloud.com/help/zh/model-studio/use-qwen-by-calling-api?#2ed5ee7377fum
            {"video": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241115/cqqkru/1.mp4","fps":2},
            {"text": "What is the content of this video?"}
        ]
    }
]

response = client.multimodal.chat.create(
    model='qwen3.7-plus',
    messages=messages
)

print(response.output_text)

import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;

public class Main {
   static {
            // The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your workspace ID. URLs vary by region.
            Constants.baseHttpApiUrl="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
        }
    public static void simpleMultiModalConversationCall()
            throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        // The fps parameter controls the video frame extraction frequency. It indicates that one frame is extracted every 1/fps seconds. For complete usage, see: https://www.alibabacloud.com/help/zh/model-studio/use-qwen-by-calling-api?#2ed5ee7377fum
        Map<String, Object> params = new HashMap<>();
        params.put("video", "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241115/cqqkru/1.mp4");
        params.put("fps", 2);
        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(
                        params,
                        Collections.singletonMap("text", "What is the content of this video?"))).build();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // If you use a model in the China (Beijing) region, you must use an API key for that region. To get an API key, see: https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // If you have not configured the environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3.8-max")
                .messages(Arrays.asList(userMessage))
                .build();
        MultiModalConversationResult result = conv.call(param);
        System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));
    }
    public static void main(String[] args) {
        try {
            simpleMultiModalConversationCall();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

# ======= Important =======
# The following URL is for the Singapore region. When you make a call, replace {WorkspaceId} with your workspace ID. URLs vary by region.
# API keys vary by region. To get an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# === Delete this comment before execution. ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen3.8-max",
    "input":{
        "messages":[
            {"role": "user","content": [{"video": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241115/cqqkru/1.mp4","fps":2},
            {"text": "What is the content of this video?"}]}]}
}'

Compatível com OpenAI

Ao usar o OpenAI SDK ou HTTP para enviar um vídeo como lista de imagens ao modelo de compreensão visual, defina o parâmetro "type" na mensagem do usuário como "video" .

import os
from openai import OpenAI

client = OpenAI(
    # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    # If you have not configured the environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The following URL is for the Singapore region. When you call the API, 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="qwen3.8-max", # This example uses qwen3.7-plus. You can replace it with another model name as needed. For a list of models, see https://www.alibabacloud.com/help/zh/model-studio/models
    messages=[{"role": "user","content": [
        # When you input a list of images, the "type" parameter in the user message is "video"
         {"type": "video","video": [
         "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/xzsgiz/football1.jpg",
         "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/tdescd/football2.jpg",
         "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/zefdja/football3.jpg",
         "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/aedbqh/football4.jpg"],
         "fps":2},
         {"type": "text","text": "Describe the specific process in this video"},
    ]}]
)

print(completion.choices[0].message.content)

// Make sure you have specified "type": "module" in your package.json file.
import OpenAI from "openai";

const openai = new OpenAI({
    // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    // If you have not configured the environment variable, replace the following line with your Model Studio API key: apiKey: "sk-xxx",
    apiKey: process.env.DASHSCOPE_API_KEY,
    // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
    baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
});

async function main() {
    const response = await openai.chat.completions.create({
        model: "qwen3.8-max",  // This example uses qwen3.7-plus. You can replace it with another model name as needed. For a list of models, see https://www.alibabacloud.com/help/zh/model-studio/models
        messages: [{
            role: "user",
            content: [
                {
                    // When you input a list of images, the "type" parameter in the user message is "video"
                    type: "video",
                    video: [
                        "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/xzsgiz/football1.jpg",
                        "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/tdescd/football2.jpg",
                        "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/zefdja/football3.jpg",
                        "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/aedbqh/football4.jpg"],
                        "fps": 2
                },
                {
                    type: "text",
                    text: "Describe the specific process in this video"
                }
            ]
        }]
    });
    console.log(response.choices[0].message.content);
}

main();

# ======= Important =======
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen3.8-max",
    "messages": [{"role": "user","content": [{"type": "video","video": [
                  "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/xzsgiz/football1.jpg",
                  "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/tdescd/football2.jpg",
                  "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/zefdja/football3.jpg",
                  "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/aedbqh/football4.jpg"],
                  "fps":2},
                {"type": "text","text": "Describe the specific process in this video"}]}]
}'

DashScope

import os
import dashscope

# A configuração abaixo refere-se à região Singapura. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

messages = [{"role": "user",
             "content": [
                  # Quando você passa uma lista de imagens, o parâmetro fps se aplica aos modelos das séries Qwen3.6, Qwen3-VL e Qwen2.5-VL.
                 {"video":["https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/xzsgiz/football1.jpg",
                           "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/tdescd/football2.jpg",
                           "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/zefdja/football3.jpg",
                           "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/aedbqh/football4.jpg"],
                   "fps":2},
                 {"text": "Describe the specific process in this video"}]}]
response = client.multimodal.chat.create(
    model='qwen3.7-plus',  # Este exemplo usa qwen3.7-plus. Você pode substituí-lo por outro nome de modelo conforme necessário. Para obter a lista de modelos, consulte https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=messages
)
print(response.output_text)

// The DashScope SDK version must be 2.21.10 or later.
import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.Map;

import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;

public class Main {
    static {
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
        Constants.baseHttpApiUrl="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }
    private static final String MODEL_NAME = "qwen3.8-max";  // This example uses qwen3.7-plus. You can replace it with another model name as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
    public static void videoImageListSample() throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        // When you input a list of images, the fps parameter applies to the Qwen3.6, Qwen3-VL, and Qwen2.5-VL series models.
        Map<String, Object> params = new HashMap<>();
        params.put("video", Arrays.asList("https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/xzsgiz/football1.jpg",
                        "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/tdescd/football2.jpg",
                        "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/zefdja/football3.jpg",
                        "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/aedbqh/football4.jpg"));
        params.put("fps", 2);
        MultiModalMessage userMessage = MultiModalMessage.builder()
                .role(Role.USER.getValue())
                .content(Arrays.asList(
                        params,
                        Collections.singletonMap("text", "Describe the specific process in this video")))
                .build();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // If you have not configured the environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model(MODEL_NAME)
                .messages(Arrays.asList(userMessage)).build();
        MultiModalConversationResult result = conv.call(param);
        System.out.print(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));
    }
    public static void main(String[] args) {
        try {
            videoImageListSample();
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

# ======= Important =======
# The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
  "model": "qwen3.8-max",
  "input": {
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "video": [
              "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/xzsgiz/football1.jpg",
              "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/tdescd/football2.jpg",
              "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/zefdja/football3.jpg",
              "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20241108/aedbqh/football4.jpg"
            ],
            "fps":2

          },
          {
            "text": "Describe the specific process in this video"
          }
        ]
      }
    ]
  }
}'

Passar usando um caminho de arquivo

import os
import dashscope

# A configuração abaixo refere-se à região Singapura. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

# Substitua xxx/eagle.png pelo caminho absoluto da sua imagem local
local_path = "xxx/eagle.png"
image_path = f"file://{local_path}"
messages = [
                {'role':'user',
                'content': [{'image': image_path},
                            {'text': 'What scene is depicted in the image?'}]}]
response = client.multimodal.chat.create(
    model='qwen3.7-plus',  # Este exemplo usa qwen3.7-plus. Você pode trocar o nome do modelo conforme necessário. Para obter a lista de modelos, consulte https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=messages)
print(response.output_text)

import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;

public class Main {

    static {
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        Constants.baseHttpApiUrl="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    public static void callWithLocalFile(String localPath)
            throws ApiException, NoApiKeyException, UploadFileException {
        String filePath = "file://"+localPath;
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(new HashMap<String, Object>(){{put("image", filePath);}},
                        new HashMap<String, Object>(){{put("text", "What scene is depicted in the image?");}})).build();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // If you have not configured the environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3.8-max")  // This example uses qwen3.7-plus. You can change the model name as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
                .messages(Arrays.asList(userMessage))
                .build();
        MultiModalConversationResult result = conv.call(param);
        System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));}

    public static void main(String[] args) {
        try {
            // Replace xxx/eagle.png with the absolute path of your local image
            callWithLocalFile("xxx/eagle.png");
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

Entrada codificada em Base64

from openai import OpenAI
import os
import base64

# Encoding function: Converts a local file to a Base64-encoded string
def encode_image(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")

# Replace xxxx/eagle.png with the absolute path of your local image
base64_image = encode_image("xxx/eagle.png")
client = OpenAI(
    # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    # If you have not configured the environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx"
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    # The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
    model="qwen3.8-max", # This example uses qwen3.7-plus. You can change the model name as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=[
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    # When passing Base64 image data, note that the image format (image/{format}) must match the Content Type in the list of supported images. "f" is a method for string formatting.
                    # PNG image:  f"data:image/png;base64,{base64_image}"
                    # JPEG image: f"data:image/jpeg;base64,{base64_image}"
                    # WEBP image: f"data:image/webp;base64,{base64_image}"
                    "image_url": {"url": f"data:image/png;base64,{base64_image}"},
                },
                {"type": "text", "text": "What scene is depicted in the image?"},
            ],
        }
    ],
)
print(completion.choices[0].message.content)

import OpenAI from "openai";
import { readFileSync } from 'fs';

const openai = new OpenAI(
    {
        // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        // If you have not configured the environment variable, replace the following line with your Model Studio API key: apiKey: "sk-xxx"
        apiKey: process.env.DASHSCOPE_API_KEY,
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
    }
);

const encodeImage = (imagePath) => {
    const imageFile = readFileSync(imagePath);
    return imageFile.toString('base64');
  };
// Replace xxx/eagle.png with the absolute path of your local image
const base64Image = encodeImage("xxx/eagle.png")
async function main() {
    const completion = await openai.chat.completions.create({
        model: "qwen3.8-max",  // This example uses qwen3.7-plus. You can change the model name as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
        messages: [
            {"role": "user",
            "content": [{"type": "image_url",
                            // Note: When passing Base64 data, the image format (image/{format}) must match the Content Type in the list of supported images.
                           // PNG image:  data:image/png;base64,${base64Image}
                          // JPEG image: data:image/jpeg;base64,${base64Image}
                         // WEBP image: data:image/webp;base64,${base64Image}
                        "image_url": {"url": `data:image/png;base64,${base64Image}`},},
                        {"type": "text", "text": "What scene is depicted in the image?"}]}]
    });
    console.log(completion.choices[0].message.content);
}

main();

# ======= Important =======
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
# === Delete this comment before execution ===

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": "qwen3.8-max",
  "messages": [
  {
    "role": "user",
    "content": [
      {"type": "image_url", "image_url": {"url": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAA"}},
      {"type": "text", "text": "What scene is depicted in the image?"}
    ]
  }]
}'

import base64
import os
import dashscope

# A configuração abaixo refere-se à região Singapura. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

# Função de codificação: converte um arquivo local em uma string codificada em Base64
def encode_image(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")

# Substitua xxxx/eagle.png pelo caminho absoluto da sua imagem local
base64_image = encode_image("xxxx/eagle.png")

messages = [
    {
        "role": "user",
        "content": [
            # Nota: ao passar dados em Base64, o formato da imagem (image/{format}) deve corresponder ao Content Type na lista de imagens suportadas. "f" é um método de formatação de strings.
            # Imagem PNG:  f"data:image/png;base64,{base64_image}"
            # Imagem JPEG: f"data:image/jpeg;base64,{base64_image}"
            # Imagem WEBP: f"data:image/webp;base64,{base64_image}"
            {"image": f"data:image/png;base64,{base64_image}"},
            {"text": "What scene is depicted in the image?"},
        ],
    },
]

response = client.multimodal.chat.create(
    model="qwen3.8-max",  # Este exemplo usa qwen3.7-plus. Você pode trocar o nome do modelo conforme necessário. Para obter a lista de modelos, consulte https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=messages,
)
print(response.output_text)

import java.io.IOException;
import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.Base64;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;

import com.alibaba.dashscope.aigc.multimodalconversation.*;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;

public class Main {

    static {
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        Constants.baseHttpApiUrl="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    private static String encodeImageToBase64(String imagePath) throws IOException {
        Path path = Paths.get(imagePath);
        byte[] imageBytes = Files.readAllBytes(path);
        return Base64.getEncoder().encodeToString(imageBytes);
    }

    public static void callWithLocalFile(String localPath) throws ApiException, NoApiKeyException, UploadFileException, IOException {

        String base64Image = encodeImageToBase64(localPath); // Base64 encoding

        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(
                        new HashMap<String, Object>() {{ put("image", "data:image/png;base64," + base64Image); }},
                        new HashMap<String, Object>() {{ put("text", "What scene is depicted in the image?"); }}
                )).build();

        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3.8-max")
                .messages(Arrays.asList(userMessage))
                .build();

        MultiModalConversationResult result = conv.call(param);
        System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));
    }

    public static void main(String[] args) {
        try {
            // Replace xxx/eagle.png with the absolute path of your local image
            callWithLocalFile("xxx/eagle.png");
        } catch (ApiException | NoApiKeyException | UploadFileException | IOException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

# ======= Important =======
# The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen3.8-max",
    "input":{
        "messages":[
            {
             "role": "user",
             "content": [
               {"image": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAA..."},
               {"text": "What scene is depicted in the image?"}
                ]
            }
        ]
    }
}'

Passagem usando um caminho de arquivo

import os
import dashscope

# A configuração abaixo refere-se à região Singapura. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

# Substitua xxxx/test.mp4 pelo caminho absoluto do seu vídeo local
local_path = "xxx/test.mp4"
video_path = f"file://{local_path}"
messages = [
                {'role':'user',
                # O parâmetro fps controla o número de quadros extraídos do vídeo. Ele indica que um quadro é extraído a cada 1/fps segundos.
                'content': [{'video': video_path,"fps":2},
                            {'text': 'What scene does this video depict?'}]}]
response = client.multimodal.chat.create(
    model='qwen3.7-plus',
    messages=messages)
print(response.output_text)

import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;

public class Main {

    static {
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        Constants.baseHttpApiUrl="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    public static void callWithLocalFile(String localPath)
            throws ApiException, NoApiKeyException, UploadFileException {
        String filePath = "file://"+localPath;
        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(new HashMap<String, Object>()
                                       {{
                                           put("video", filePath);// The fps parameter controls the number of frames extracted from the video. It indicates that one frame is extracted every 1/fps seconds.
                                           put("fps", 2);
                                       }},
                        new HashMap<String, Object>(){{put("text", "What scene does this video depict?");}})).build();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // If you have not configured the environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3.8-max")
                .messages(Arrays.asList(userMessage))
                .build();
        MultiModalConversationResult result = conv.call(param);
        System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));}

    public static void main(String[] args) {
        try {
            // Replace xxxx/test.mp4 with the absolute path of your local video
            callWithLocalFile("xxx/test.mp4");
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

Entrada codificada em Base64

from openai import OpenAI
import os
import base64

# Encoding function: Converts a local file to a Base64-encoded string
def encode_video(video_path):
    with open(video_path, "rb") as video_file:
        return base64.b64encode(video_file.read()).decode("utf-8")

# Replace xxxx/test.mp4 with the absolute path of your local video
base64_video = encode_video("xxx/test.mp4")
client = OpenAI(
    # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    # If you have not configured the environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx"
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    # The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[
        {
            "role": "user",
            "content": [
                {
                    # When passing a video file directly, set the value of type to video_url
                    "type": "video_url",
                    "video_url": {"url": f"data:video/mp4;base64,{base64_video}"},
                    "fps":2
                },
                {"type": "text", "text": "What scene does this video depict?"},
            ],
        }
    ],
)
print(completion.choices[0].message.content)

import OpenAI from "openai";
import { readFileSync } from 'fs';

const openai = new OpenAI(
    {
        // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        // If you have not configured the environment variable, replace the following line with your Model Studio API key: apiKey: "sk-xxx"
        apiKey: process.env.DASHSCOPE_API_KEY,
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
    }
);

const encodeVideo = (videoPath) => {
    const videoFile = readFileSync(videoPath);
    return videoFile.toString('base64');
  };
// Replace xxxx/test.mp4 with the absolute path of your local video
const base64Video = encodeVideo("xxx/test.mp4")
async function main() {
    const completion = await openai.chat.completions.create({
        model: "qwen3.8-max",
        messages: [
            {"role": "user",
             "content": [{
                 // When passing a video file directly, set the value of type to video_url
                "type": "video_url",
                "video_url": {"url": `data:video/mp4;base64,${base64Video}`},
                "fps":2},
                 {"type": "text", "text": "What scene does this video depict?"}]}]
    });
    console.log(completion.choices[0].message.content);
}

main();

# ======= Important =======
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
# === Delete this comment before execution ===

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": "qwen3.8-max",
  "messages": [
  {
    "role": "user",
    "content": [
      {"type": "video_url", "video_url": {"url": "data:video/mp4;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAA..."},"fps":2},
      {"type": "text", "text": "What scene is depicted in the image?"}
    ]
  }]
}'

import base64
import os
import dashscope

# A configuração abaixo refere-se à região Singapura. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

# Função de codificação: converte um arquivo local em uma string codificada em Base64
def encode_video(video_path):
    with open(video_path, "rb") as video_file:
        return base64.b64encode(video_file.read()).decode("utf-8")

# Substitua xxxx/test.mp4 pelo caminho absoluto do seu vídeo local
base64_video = encode_video("xxxx/test.mp4")

messages = [{'role':'user',
                # O parâmetro fps controla o número de quadros extraídos do vídeo. Ele indica que um quadro é extraído a cada 1/fps segundos.
             'content': [{'video': f"data:video/mp4;base64,{base64_video}","fps":2},
                            {'text': 'What scene does this video depict?'}]}]
response = client.multimodal.chat.create(
    model='qwen3.7-plus',
    messages=messages)

print(response.output_text)

import java.io.IOException;
import java.util.*;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;

import com.alibaba.dashscope.aigc.multimodalconversation.*;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;

public class Main {

    static {
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        Constants.baseHttpApiUrl="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    private static String encodeVideoToBase64(String videoPath) throws IOException {
        Path path = Paths.get(videoPath);
        byte[] videoBytes = Files.readAllBytes(path);
        return Base64.getEncoder().encodeToString(videoBytes);
    }

    public static void callWithLocalFile(String localPath)
            throws ApiException, NoApiKeyException, UploadFileException, IOException {

        String base64Video = encodeVideoToBase64(localPath); // Base64 encoding

        MultiModalConversation conv = new MultiModalConversation();
        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())
                .content(Arrays.asList(new HashMap<String, Object>()
                                       {{
                                           put("video", "data:video/mp4;base64," + base64Video);// The fps parameter controls the number of frames extracted from the video. It indicates that one frame is extracted every 1/fps seconds.
                                           put("fps", 2);
                                       }},
                        new HashMap<String, Object>(){{put("text", "What scene does this video depict?");}})).build();

        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // If you have not configured the environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3.8-max")
                .messages(Arrays.asList(userMessage))
                .build();

        MultiModalConversationResult result = conv.call(param);
        System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));
    }

    public static void main(String[] args) {
        try {
            // Replace xxx/test.mp4 with the absolute path of your local video
            callWithLocalFile("xxx/test.mp4");
        } catch (ApiException | NoApiKeyException | UploadFileException | IOException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

# ======= Important =======
# The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen3.8-max",
    "input":{
        "messages":[
            {
             "role": "user",
             "content": [
               {"video": "data:video/mp4;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAA..."},
               {"text": "What scene does this video depict? "}
                ]
            }
        ]
    }
}'

Passagem de caminhos de arquivo

import os
import dashscope

# A configuração abaixo refere-se à região Singapura. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

local_path1 = "football1.jpg"
local_path2 = "football2.jpg"
local_path3 = "football3.jpg"
local_path4 = "football4.jpg"

image_path1 = f"file://{local_path1}"
image_path2 = f"file://{local_path2}"
image_path3 = f"file://{local_path3}"
image_path4 = f"file://{local_path4}"

messages = [{'role':'user',
              #  Quando você passa uma lista de imagens, o parâmetro fps se aplica aos modelos das séries Qwen3.6, Qwen3-VL e Qwen2.5-VL.
             'content': [{'video': [image_path1,image_path2,image_path3,image_path4],"fps":2},
                         {'text': 'What scene does this video depict?'}]}]
response = client.multimodal.chat.create(
    model='qwen3.7-plus',  # Este exemplo usa qwen3.7-plus. Você pode trocar o nome do modelo conforme necessário. Para obter a lista de modelos, consulte https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=messages)

print(response.output_text)

// The DashScope SDK version must be 2.21.10 or later.
import java.util.Arrays;
import java.util.Map;
import java.util.Collections;
import java.util.HashMap;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;
import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;

public class Main {

    static {
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        Constants.baseHttpApiUrl="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    private static final String MODEL_NAME = "qwen3.8-max";  // This example uses qwen3.7-plus. You can change the model name as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
    public static void videoImageListSample(String localPath1, String localPath2, String localPath3, String localPath4)
            throws ApiException, NoApiKeyException, UploadFileException {
        MultiModalConversation conv = new MultiModalConversation();
        String filePath1 = "file://" + localPath1;
        String filePath2 = "file://" + localPath2;
        String filePath3 = "file://" + localPath3;
        String filePath4 = "file://" + localPath4;
        Map<String, Object> params = new HashMap<>();
        params.put("video", Arrays.asList(filePath1,filePath2,filePath3,filePath4));
        //  When you pass an image list, the fps parameter applies to the Qwen3.6, Qwen3-VL, and Qwen2.5-VL series models.
        params.put("fps", 2);
        MultiModalMessage userMessage = MultiModalMessage.builder()
                .role(Role.USER.getValue())
                .content(Arrays.asList(params,
                        Collections.singletonMap("text", "Describe the specific process in this video")))
                .build();
        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                // If you have not configured the environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model(MODEL_NAME)
                .messages(Arrays.asList(userMessage)).build();
        MultiModalConversationResult result = conv.call(param);
        System.out.print(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));
    }
    public static void main(String[] args) {
        try {
            videoImageListSample(
                    "xxx/football1.jpg",
                    "xxx/football2.jpg",
                    "xxx/football3.jpg",
                    "xxx/football4.jpg");
        } catch (ApiException | NoApiKeyException | UploadFileException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

Envio via codificação Base64

import os
from openai import OpenAI
import base64

# Encoding function: Converts a local file to a Base64-encoded string
def encode_image(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")

base64_image1 = encode_image("football1.jpg")
base64_image2 = encode_image("football2.jpg")
base64_image3 = encode_image("football3.jpg")
base64_image4 = encode_image("football4.jpg")
client = OpenAI(
    # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    # If you have not configured the environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
    model="qwen3.8-max",  # This example uses qwen3.7-plus. You can change the model name as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=[
    {"role": "user","content": [
        {"type": "video","video": [
            f"data:image/jpeg;base64,{base64_image1}",
            f"data:image/jpeg;base64,{base64_image2}",
            f"data:image/jpeg;base64,{base64_image3}",
            f"data:image/jpeg;base64,{base64_image4}",]},
        {"type": "text","text": "Describe the specific process in this video"},
    ]}]
)
print(completion.choices[0].message.content)

import OpenAI from "openai";
import { readFileSync } from 'fs';

const openai = new OpenAI(
    {
        // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        // If you have not configured the environment variable, replace the following line with your Model Studio API key: apiKey: "sk-xxx"
        apiKey: process.env.DASHSCOPE_API_KEY,
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
    }
);

const encodeImage = (imagePath) => {
    const imageFile = readFileSync(imagePath);
    return imageFile.toString('base64');
  };

const base64Image1 = encodeImage("football1.jpg")
const base64Image2 = encodeImage("football2.jpg")
const base64Image3 = encodeImage("football3.jpg")
const base64Image4 = encodeImage("football4.jpg")
async function main() {
    const completion = await openai.chat.completions.create({
        model: "qwen3.8-max",  // This example uses qwen3.7-plus. You can change the model name as needed. For a list of models, see https://www.alibabacloud.com/help/model-studio/getting-started/models
        messages: [
            {"role": "user",
             "content": [{"type": "video",
                        "video": [
                            `data:image/jpeg;base64,${base64Image1}`,
                            `data:image/jpeg;base64,${base64Image2}`,
                            `data:image/jpeg;base64,${base64Image3}`,
                            `data:image/jpeg;base64,${base64Image4}`]},
                        {"type": "text", "text": "What scene does this video depict?"}]}]
    });
    console.log(completion.choices[0].message.content);
}

main();

# ======= Important =======
# The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
    "model": "qwen3.8-max",
    "messages": [{"role": "user",
                "content": [{"type": "video",
                "video": [
                          "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAA...",
                          "data:image/jpeg;base64,nEpp6jpnP57MoWSyOWwrkXMJhHRCWYeFYb...",
                          "data:image/jpeg;base64,JHWQnJPc40GwQ7zERAtRMK6iIhnWw4080s...",
                          "data:image/jpeg;base64,adB6QOU5HP7dAYBBOg/Fb7KIptlbyEOu58..."
                          ]},
                {"type": "text",
                "text": "Describe the specific process in this video"}]}]
}'

import base64
import os
import dashscope

# A configuração abaixo refere-se à região Singapura. Substitua {WorkspaceId} pelo ID real do seu workspace. O valor de region varia conforme a região.
client = dashscope.Client(
    # Se a variável de ambiente não estiver configurada, substitua a linha abaixo pela sua API Key do Model Studio: api_key="sk-xxx"
    # As API Keys variam conforme a região. Para obter uma API Key, consulte https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    workspace="{WorkspaceId}",
    region="ap-southeast-1",
)

#  Função de codificação: converte um arquivo local em uma string codificada em Base64
def encode_image(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")

base64_image1 = encode_image("football1.jpg")
base64_image2 = encode_image("football2.jpg")
base64_image3 = encode_image("football3.jpg")
base64_image4 = encode_image("football4.jpg")

messages = [{'role':'user',
            'content': [
                    {'video':
                         [f"data:image/jpeg;base64,{base64_image1}",
                          f"data:image/jpeg;base64,{base64_image2}",
                          f"data:image/jpeg;base64,{base64_image3}",
                          f"data:image/jpeg;base64,{base64_image4}"
                         ]
                    },
                    {'text': 'Please describe the specific process of this video?'}]}]
response = client.multimodal.chat.create(
    model='qwen3.7-plus',  # Este exemplo usa qwen3.7-plus. Você pode trocar o nome do modelo conforme necessário. Para obter a lista de modelos, consulte https://www.alibabacloud.com/help/model-studio/getting-started/models
    messages=messages)

print(response.output_text)

import java.io.IOException;
import java.util.*;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;

import com.alibaba.dashscope.aigc.multimodalconversation.*;
import com.alibaba.dashscope.common.MultiModalMessage;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.exception.UploadFileException;
import com.alibaba.dashscope.utils.Constants;

public class Main {

    static {
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        Constants.baseHttpApiUrl="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1";
    }

    private static String encodeImageToBase64(String imagePath) throws IOException {
        Path path = Paths.get(imagePath);
        byte[] imageBytes = Files.readAllBytes(path);
        return Base64.getEncoder().encodeToString(imageBytes);
    }

    public static void videoImageListSample(String localPath1,String localPath2,String localPath3,String localPath4)
            throws ApiException, NoApiKeyException, UploadFileException, IOException {

        String base64Image1 = encodeImageToBase64(localPath1); // Base64 encoding
        String base64Image2 = encodeImageToBase64(localPath2);
        String base64Image3 = encodeImageToBase64(localPath3);
        String base64Image4 = encodeImageToBase64(localPath4);

        MultiModalConversation conv = new MultiModalConversation();
        Map<String, Object> params = new HashMap<>();
        params.put("video", Arrays.asList(
                        "data:image/jpeg;base64," + base64Image1,
                        "data:image/jpeg;base64," + base64Image2,
                        "data:image/jpeg;base64," + base64Image3,
                        "data:image/jpeg;base64," + base64Image4));
        //  When you pass an image list, the fps parameter applies to the Qwen3.6, Qwen3-VL, and Qwen2.5-VL series models.
        params.put("fps", 2);
        MultiModalMessage userMessage = MultiModalMessage.builder()
                .role(Role.USER.getValue())
                .content(Arrays.asList(params,
                        Collections.singletonMap("text", "Describe the specific process in this video")))
                .build();

        MultiModalConversationParam param = MultiModalConversationParam.builder()
                // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen3.8-max")
                .messages(Arrays.asList(userMessage))
                .build();

        MultiModalConversationResult result = conv.call(param);
        System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent().get(0).get("text"));
    }

    public static void main(String[] args) {
        try {
            // Replace xxx/football1.png and other files with the absolute paths of your local images
            videoImageListSample(
                    "xxx/football1.jpg",
                    "xxx/football2.jpg",
                    "xxx/football3.jpg",
                    "xxx/football4.jpg"
            );
        } catch (ApiException | NoApiKeyException | UploadFileException | IOException e) {
            System.out.println(e.getMessage());
        }
        System.exit(0);
    }
}

# ======= Important =======
# The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
  "model": "qwen3.8-max",
  "input": {
    "messages": [
      {
        "role": "user",
        "content": [
          {
            "video": [
                      "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAA...",
                      "data:image/jpeg;base64,nEpp6jpnP57MoWSyOWwrkXMJhHRCWYeFYb...",
                      "data:image/jpeg;base64,JHWQnJPc40GwQ7zERAtRMK6iIhnWw4080s...",
                      "data:image/jpeg;base64,adB6QOU5HP7dAYBBOg/Fb7KIptlbyEOu58..."
            ],
            "fps":2
          },
          {
            "text": "Describe the specific process in this video"
          }
        ]
      }
    ]
  }
}'

Python

import os
from openai import OpenAI

client = OpenAI(
    # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The following URL is for the China (Beijing) region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
    base_url="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1",
)

completion = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[
        {"role": "user","content": [
            {"type": "image_url","image_url": {"url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250212/earbrt/vcg_VCG211286867973_RF.jpg"},
            # max_pixels represents the maximum pixel threshold for the input image. It is invalid when vl_high_resolution_images=True. When vl_high_resolution_images=False, it is customizable, and the maximum value varies by model.
            # "max_pixels": 16384 * 32 * 32
            },
           {"type": "text", "text": "What festival atmosphere does this image convey?"},
            ],
        }
    ],
    extra_body={"vl_high_resolution_images":True}

)
print(f"Model output: {completion.choices[0].message.content}")
print(f"Total input tokens: {completion.usage.prompt_tokens}")

import os
import time
from openai import OpenAI

client = OpenAI(
    # API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)

completion = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[
        {"role": "user","content": [
            {"type": "image_url","image_url": {"url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250212/earbrt/vcg_VCG211286867973_RF.jpg"},
            # max_pixels represents the maximum pixel threshold for the input image. It is invalid when vl_high_resolution_images=True. When vl_high_resolution_images=False, it is customizable, and the maximum value varies by model.
            # "max_pixels": 16384 * 32 * 32
            },
           {"type": "text", "text": "What festival atmosphere does this image convey"},
            ],
        }
    ],
    extra_body={"vl_high_resolution_images":True}

)
print(f"Model output: {completion.choices[0].message.content}")
print(f"Total input tokens: {completion.usage.prompt_tokens}")

Node.js

import OpenAI from "openai";

const openai = new OpenAI(
    {
        // If you have not configured the environment variable, replace the following line with your Model Studio API key: apiKey: "sk-xxx"
        // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        apiKey: process.env.DASHSCOPE_API_KEY,
        // The following URL is for the China (Beijing) region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        baseURL: "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1"
    }
);
 const response = await openai.chat.completions.create({
        model: "qwen3.8-max",
        messages: [
        {role: "user",content: [
            {type: "image_url",
            image_url: {"url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250212/earbrt/vcg_VCG211286867973_RF.jpg"},
            // max_pixels represents the maximum pixel threshold for the input image. It has no effect when vl_high_resolution_images=True. When vl_high_resolution_images=False, it is customizable, and the maximum value varies by model.
            // "max_pixels": 2560 * 32 * 32
            },
            {type: "text", text: "What festival atmosphere does this image convey?" },
        ]}],
        vl_high_resolution_images:true
    })

console.log("Model output:",response.choices[0].message.content);
console.log("Total input tokens",response.usage.prompt_tokens);

import OpenAI from "openai";

const openai = new OpenAI(
    {
        // API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
        // If you have not configured the environment variable, replace the following line with your Model Studio API key: apiKey: "sk-xxx"
        apiKey: process.env.DASHSCOPE_API_KEY,
        // The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
        baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1"
    }
);

const response = await openai.chat.completions.create({
        model: "qwen3.8-max",
        messages: [
        {role: "user",content: [
            {type: "image_url",
            image_url: {"url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250212/earbrt/vcg_VCG211286867973_RF.jpg"},
            // max_pixels represents the maximum pixel threshold for the input image. It has no effect when vl_high_resolution_images=True. When vl_high_resolution_images=False, it is customizable, and the maximum value varies by model.
            // "max_pixels": 2560 * 32 * 32
            },
            {type: "text", text: "What festival atmosphere does this image convey?" },
        ]}],
        vl_high_resolution_images:true
    })

console.log("Model output:",response.choices[0].message.content);
console.log("Total input tokens",response.usage.prompt_tokens);

curl

# ======= Important =======
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# The following URL is for the China (Beijing) region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
  "model": "qwen3.8-max",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250212/earbrt/vcg_VCG211286867973_RF.jpg"
          }
        },
        {
          "type": "text",
          "text": "What festival atmosphere does this image convey?"
        }
      ]
    }
  ],
  "vl_high_resolution_images":true
}'

# ======= Important =======
# API keys vary by region. To obtain an API key, see https://www.alibabacloud.com/help/zh/model-studio/get-api-key
# The following URL is for the Singapore region. When you call the API, replace {WorkspaceId} with your actual workspace ID. The URL varies by region.
# === Delete this comment before execution ===

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1/chat/completions \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
  "model": "qwen3.8-max",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250212/earbrt/vcg_VCG211286867973_RF.jpg"
          }
        },
        {
          "type": "text",
          "text": "What festival atmosphere does this image convey?"
        }
      ]
    }
  ],
  "vl_high_resolution_images":true
}'