Alibaba Cloud Model Studio:Penerjemahan mesin (Qwen-MT)

import os
from openai import OpenAI

client = OpenAI(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Alibaba Cloud Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
messages = [
    {
        "role": "user",
        "content": "No me reí después de ver este video"
    }
]
translation_options = {
    "source_lang": "auto",
    "target_lang": "English"
}

completion = client.chat.completions.create(
    model="qwen-mt-plus",
    messages=messages,
    extra_body={
        "translation_options": translation_options
    }
)
print(completion.choices[0].message.content)

# ======= Penting =======
# URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
# === Hapus komentar ini sebelum eksekusi ====

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": "qwen-mt-flash",
    "messages": [{"role": "user", "content": "No me reí después de ver este video"}],
    "translation_options": {
      "source_lang": "auto",
      "target_lang": "English"
      }
}'

import os
import dashscope

# URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
messages = [
    {
        "role": "user",
        "content": "No me reí después de ver este video"
    }
]
translation_options = {
    "source_lang": "auto",
    "target_lang": "English",
}
response = dashscope.Generation.call(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model="qwen-mt-turbo",  # Contoh ini menggunakan qwen-mt-turbo. Anda dapat menggantinya dengan nama model lain sesuai kebutuhan.
    messages=messages,
    result_format='message',
    translation_options=translation_options
)
print(response.output.choices[0].message.content)

// Diperlukan SDK DashScope versi 2.20.6 atau lebih baru.
import java.lang.System;
import java.util.Collections;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.generation.GenerationParam;
import com.alibaba.dashscope.aigc.generation.GenerationResult;
import com.alibaba.dashscope.aigc.generation.TranslationOptions;
import com.alibaba.dashscope.common.Message;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.protocol.Protocol;

public class Main {
    public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
        // URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
        Generation gen = new Generation(Protocol.HTTP.getValue(), "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1");
        Message userMsg = Message.builder()
                .role(Role.USER.getValue())
                .content("No me reí después de ver este video")
                .build();
        TranslationOptions options = TranslationOptions.builder()
                .sourceLang("auto")
                .targetLang("English")
                .build();
        GenerationParam param = GenerationParam.builder()
                // Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Alibaba Cloud Model Studio Anda: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen-mt-plus")
                .messages(Collections.singletonList(userMsg))
                .resultFormat(GenerationParam.ResultFormat.MESSAGE)
                .translationOptions(options)
                .build();
        return gen.call(param);
    }
    public static void main(String[] args) {
        try {
            GenerationResult result = callWithMessage();
            System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent());
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.err.println("Error message: "+e.getMessage());
            e.printStackTrace();
        } finally {
            System.exit(0);
        }
    }
}

# ======= Penting =======
# URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
# === Hapus komentar ini sebelum eksekusi ====

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "model": "qwen-mt-turbo",
  "input": {
    "messages": [
      {
        "content": "No me reí después de ver este video",
        "role": "user"
      }
    ]
  },
  "parameters": {
    "translation_options": {
      "source_lang": "auto",
      "target_lang": "English"
    }
  }
}'

import os
from openai import OpenAI

client = OpenAI(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
messages = [{"role": "user", "content": "No me reí después de ver este video"}]
translation_options = {"source_lang": "auto", "target_lang": "English"}

completion = client.chat.completions.create(
    model="qwen-mt-flash",
    messages=messages,
    stream=True,
    stream_options={"include_usage": True},
    extra_body={"translation_options": translation_options},
)
for chunk in completion:
    if chunk.choices:
        content = chunk.choices[0].delta.content or ""
        print(content, end="", flush=True)
    else:
        print("="*20+"Usage"+"="*20)
        print(chunk.usage)

# ======= Penting =======
# URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
# === Hapus komentar ini sebelum eksekusi ====

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": "qwen-mt-flash",
    "messages": [{"role": "user", "content": "No me reí después de ver este video"}],
    "stream": true,
    "translation_options": {
      "source_lang": "auto",
      "target_lang": "English"
      }
}'

import os
import dashscope

# URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
messages = [
    {
        "role": "user",
        "content": "No me reí después de ver este video"
    }
]
translation_options = {
    "source_lang": "auto",
    "target_lang": "English",
}
response = dashscope.Generation.call(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model="qwen-mt-flash",  # Contoh ini menggunakan qwen-mt-turbo. Anda dapat menggantinya dengan nama model lain sesuai kebutuhan.
    messages=messages,
    result_format='message',
    stream=True,
    # Untuk mendapatkan keluaran inkremental, atur incremental_output ke True. Ini direkomendasikan. Saat ini, hanya qwen-mt-flash dan qwen-mt-lite yang mendukung fitur ini.
    incremental_output=True,
    translation_options=translation_options
)
for chunk in response:
    print(chunk.output.choices[0].message.content, end="", flush=True)

// SDK DashScope harus versi 2.20.6 atau lebih baru.
import java.lang.System;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.generation.GenerationParam;
import com.alibaba.dashscope.aigc.generation.GenerationResult;
import com.alibaba.dashscope.aigc.generation.TranslationOptions;
import com.alibaba.dashscope.common.Message;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.protocol.Protocol;
import java.util.Arrays;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import io.reactivex.Flowable;

public class Main {
    private static final Logger logger = LoggerFactory.getLogger(Main.class);
    private static void handleGenerationResult(GenerationResult message) {
        String content = message.getOutput().getChoices().get(0).getMessage().getContent();
        System.out.print(content);
    }
    public static void streamCallWithMessage(Generation gen, Message userMsg)
            throws NoApiKeyException, ApiException, InputRequiredException {
        GenerationParam param = buildGenerationParam(userMsg);
        Flowable<GenerationResult> result = gen.streamCall(param);
        result.blockingForEach(message -> handleGenerationResult(message));
    }
    private static GenerationParam buildGenerationParam(Message userMsg) {
        TranslationOptions options = TranslationOptions.builder()
                .sourceLang("auto")
                .targetLang("English")
                .build();
        return GenerationParam.builder()
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen-mt-flash")
                .resultFormat(GenerationParam.ResultFormat.MESSAGE)
                .translationOptions(options)
                // Aktifkan keluaran inkremental. Fitur ini hanya didukung oleh qwen-mt-flash dan qwen-mt-lite.
                .incrementalOutput(true)
                .messages(Arrays.asList(userMsg))
                .build();
    }
    public static void main(String[] args) {
        try {
            // URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
            Generation gen = new Generation(Protocol.HTTP.getValue(), "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1");
            Message userMsg = Message.builder().role(Role.USER.getValue()).content("No me reí después de ver este video").build();
            streamCallWithMessage(gen, userMsg);
        } catch (ApiException | NoApiKeyException | InputRequiredException  e) {
            logger.error("An exception occurred: {}", e.getMessage());
        }
        System.exit(0);
    }
}

# ======= Penting =======
# URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
# === Hapus komentar ini sebelum eksekusi ====

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-H "X-DashScope-SSE: enable" \
-d '{
  "model": "qwen-mt-flash",
  "input": {
    "messages": [
      {
        "content": "No me reí después de ver este video",
        "role": "user"
      }
    ]
  },
  "parameters": {
    "translation_options": {
      "source_lang": "auto",
      "target_lang": "English"
    },
    "incremental_output": true
  }
}'

import os
from openai import OpenAI

client = OpenAI(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
messages = [
    {
        "role": "user",
        "content": "Este conjunto de biosensores utiliza grafeno, un material novedoso. Su objetivo son los elementos químicos. Su agudo «sentido del olfato» le permite reflejar el estado de salud del cuerpo de forma más profunda y precisa."
    }
]

# --- Permintaan pertama: tanpa parameter terms ---
print("--- [Hasil terjemahan tanpa terms] ---")
translation_options_without_terms = {
    "source_lang": "auto",
    "target_lang": "English"
}

completion_without_terms = client.chat.completions.create(
    model="qwen-mt-turbo",
    messages=messages,
    extra_body={
        "translation_options": translation_options_without_terms
    }
)
print(completion_without_terms.choices[0].message.content)

print("\n" + "="*50 + "\n") # Pemisah untuk perbandingan

# --- Permintaan kedua: dengan parameter terms ---
print("--- [Hasil terjemahan dengan terms] ---")
translation_options_with_terms = {
    "source_lang": "auto",
    "target_lang": "English",
    "terms": [
        {
            "source": "biosensor",
            "target": "biological sensor"
        },
        {
            "source": "estado de salud del cuerpo",
            "target": "health status of the body"
        }
    ]
}

completion_with_terms = client.chat.completions.create(
    model="qwen-mt-turbo",
    messages=messages,
    extra_body={
        "translation_options": translation_options_with_terms
    }
)
print(completion_with_terms.choices[0].message.content)

# ======= Penting =======
# URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
# === Hapus komentar ini sebelum eksekusi ====

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": "qwen-mt-turbo",
  "messages": [
    {
      "role": "user",
      "content": "Este conjunto de biosensores utiliza grafeno, un material novedoso. Su objetivo son los elementos químicos. Su agudo «sentido del olfato» le permite reflejar el estado de salud del cuerpo de forma más profunda y precisa."
    }
  ],
  "translation_options": {
    "source_lang": "auto",
    "target_lang": "English",
    "terms": [
      {
        "source": "biosensor",
        "target": "biological sensor"
      },
      {
        "source": "estado de salud del cuerpo",
        "target": "health status of the body"
      }
    ]
  }
}'

import os
import dashscope

# URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
messages = [
    {
        "role": "user",
        "content": "Este conjunto de biosensores utiliza grafeno, un material novedoso. Su objetivo son los elementos químicos. Su agudo «sentido del olfato» le permite reflejar el estado de salud del cuerpo de forma más profunda y precisa."
    }
]
translation_options = {
    "source_lang": "auto",
    "target_lang": "English",
    "terms": [
        {
            "source": "biosensor",
            "target": "biological sensor"
        },
        {
            "source": "estado de salud del cuerpo",
            "target": "health status of the body"
        }
    ]
}
response = dashscope.Generation.call(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model="qwen-mt-turbo",  # Contoh ini menggunakan qwen-mt-turbo. Anda dapat menggantinya dengan nama model lain sesuai kebutuhan.
    messages=messages,
    result_format='message',
    translation_options=translation_options
)
print(response.output.choices[0].message.content)

// SDK DashScope harus versi 2.20.6 atau lebih baru.
import java.lang.System;
import java.util.Collections;
import java.util.Arrays;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.generation.GenerationParam;
import com.alibaba.dashscope.aigc.generation.GenerationResult;
import com.alibaba.dashscope.aigc.generation.TranslationOptions;
import com.alibaba.dashscope.aigc.generation.TranslationOptions.Term;
import com.alibaba.dashscope.common.Message;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.protocol.Protocol;

public class Main {
    public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
        // URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
        Generation gen = new Generation(Protocol.HTTP.getValue(), "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1");
        Message userMsg = Message.builder()
                .role(Role.USER.getValue())
                .content("Este conjunto de biosensores utiliza grafeno, un material novedoso. Su objetivo son los elementos químicos. Su agudo «sentido del olfato» le permite reflejar el estado de salud del cuerpo de forma más profunda y precisa.")
                .build();
        Term term1 = Term.builder()
                .source("biosensor")
                .target("biological sensor")
                .build();
        Term term2 = Term.builder()
                .source("estado de salud del cuerpo")
                .target("health status of the body")
                .build();
        TranslationOptions options = TranslationOptions.builder()
                .sourceLang("auto")
                .targetLang("English")
                .terms(Arrays.asList(term1, term2))
                .build();
        GenerationParam param = GenerationParam.builder()
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen-mt-plus")
                .messages(Collections.singletonList(userMsg))
                .resultFormat(GenerationParam.ResultFormat.MESSAGE)
                .translationOptions(options)
                .build();
        return gen.call(param);
    }
    public static void main(String[] args) {
        try {
            GenerationResult result = callWithMessage();
            System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent());
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.err.println("Error message: "+e.getMessage());
        }
        System.exit(0);
    }
}

# ======= Penting =======
# URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
# === Hapus komentar ini sebelum eksekusi ====

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
  "model": "qwen-mt-turbo",
  "input": {
    "messages": [
      {
        "content": "Este conjunto de biosensores utiliza grafeno, un material novedoso. Su objetivo son los elementos químicos. Su agudo «sentido del olfato» le permite reflejar el estado de salud del cuerpo de forma más profunda y precisa.",
        "role": "user"
      }
    ]
  },
  "parameters": {
    "translation_options": {
      "source_lang": "auto",
      "target_lang": "English",
      "terms": [
        {
          "source": "biosensor",
          "target": "biological sensor"
        },
        {
          "source": "estado de salud del cuerpo",
          "target": "health status of the body"
        }
      ]
    }
  }
}'

import os
from openai import OpenAI

client = OpenAI(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan kunci API Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # base_url bervariasi berdasarkan wilayah. Perbarui berdasarkan wilayah yang Anda gunakan.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
messages = [
    {
        "role": "user",
        "content": "El siguiente comando muestra la información de la versión de Thrift instalada."
    }
]
translation_options = {
    "source_lang": "auto",
    "target_lang": "English",
    "tm_list": [
        {
            "source": "Puede utilizar uno de los siguientes métodos para consultar la versión del motor de un clúster:",
            "target": "You can use one of the following methods to query the engine version of a cluster:"
        },
        {
            "source": "La versión de Thrift utilizada por nuestro HBase en la nube es la 0.9.0. Por lo tanto, recomendamos que la versión del cliente también sea la 0.9.0. Puede descargar Thrift 0.9.0 desde aquí. El paquete de código fuente descargado se utilizará posteriormente. Primero debe instalar el entorno de compilación de Thrift. Para la instalación desde el código fuente, puede consultar el sitio web oficial de Thrift.",
            "target": "The version of Thrift used by ApsaraDB for HBase is 0.9.0. Therefore, we recommend that you use Thrift 0.9.0 to create a client. Click here to download Thrift 0.9.0. The downloaded source code package will be used later. You must install the Thrift compiling environment first. For more information, see Thrift official website."
        },
        {
            "source": "Puede instalar el SDK a través de PyPI. El comando de instalación es el siguiente:",
            "target": "You can run the following command in Python Package Index (PyPI) to install Elastic Container Instance SDK for Python:"
        }
    ]
}

completion = client.chat.completions.create(
    model="qwen-mt-plus",
    messages=messages,
    extra_body={
        "translation_options": translation_options
    }
)
print(completion.choices[0].message.content)

# ======= Penting =======
# URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
# === Hapus komentar ini sebelum eksekusi ====

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": "qwen-mt-turbo",
  "messages": [
    {
      "role": "user",
      "content": "El siguiente comando muestra la información de la versión de Thrift instalada."
    }
  ],
  "translation_options": {
    "source_lang": "auto",
    "target_lang": "English",
    "tm_list":[
          {"source": "Puede utilizar uno de los siguientes métodos para consultar la versión del motor de un clúster:", "target": "You can use one of the following methods to query the engine version of a cluster:"},
          {"source": "La versión de Thrift utilizada por nuestro HBase en la nube es la 0.9.0. Por lo tanto, recomendamos que la versión del cliente también sea la 0.9.0. Puede descargar Thrift 0.9.0 desde aquí. El paquete de código fuente descargado se utilizará posteriormente. Primero debe instalar el entorno de compilación de Thrift. Para la instalación desde el código fuente, puede consultar el sitio web oficial de Thrift.", "target": "The version of Thrift used by ApsaraDB for HBase is 0.9.0. Therefore, we recommend that you use Thrift 0.9.0 to create a client. Click here to download Thrift 0.9.0. The downloaded source code package will be used later. You must install the Thrift compiling environment first. For more information, see Thrift official website."},
          {"source": "Puede instalar el SDK a través de PyPI. El comando de instalación es el siguiente:", "target": "You can run the following command in Python Package Index (PyPI) to install Elastic Container Instance SDK for Python:"}
    ]
  }
}'

import os
import dashscope

# URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
messages = [
    {
        "role": "user",
        "content": "El siguiente comando muestra la información de la versión de Thrift instalada."
    }
]
translation_options = {
    "source_lang": "auto",
    "target_lang": "English",
    "tm_list": [
        {
            "source": "Puede utilizar uno de los siguientes métodos para consultar la versión del motor de un clúster:",
            "target": "You can use one of the following methods to query the engine version of a cluster:"
        },
        {
            "source": "La versión de Thrift utilizada por nuestro HBase en la nube es la 0.9.0. Por lo tanto, recomendamos que la versión del cliente también sea la 0.9.0. Puede descargar Thrift 0.9.0 desde aquí. El paquete de código fuente descargado se utilizará posteriormente. Primero debe instalar el entorno de compilación de Thrift. Para la instalación desde el código fuente, puede consultar el sitio web oficial de Thrift.",
            "target": "The version of Thrift used by ApsaraDB for HBase is 0.9.0. Therefore, we recommend that you use Thrift 0.9.0 to create a client. Click here to download Thrift 0.9.0. The downloaded source code package will be used later. You must install the Thrift compiling environment first. For more information, see Thrift official website."
        },
        {
            "source": "Puede instalar el SDK a través de PyPI. El comando de instalación es el siguiente:",
            "target": "You can run the following command in Python Package Index (PyPI) to install Elastic Container Instance SDK for Python:"
        }
    ]}
response = dashscope.Generation.call(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model="qwen-mt-turbo",  # Contoh ini menggunakan qwen-mt-turbo. Anda dapat menggantinya dengan nama model lain sesuai kebutuhan.
    messages=messages,
    result_format='message',
    translation_options=translation_options
)
print(response.output.choices[0].message.content)

// SDK DashScope harus versi 2.20.6 atau lebih baru.
import java.lang.System;
import java.util.Collections;
import java.util.Arrays;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.generation.GenerationParam;
import com.alibaba.dashscope.aigc.generation.GenerationResult;
import com.alibaba.dashscope.aigc.generation.TranslationOptions;
import com.alibaba.dashscope.aigc.generation.TranslationOptions.Tm;
import com.alibaba.dashscope.common.Message;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.protocol.Protocol;

public class Main {
    public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
        // URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
        Generation gen = new Generation(Protocol.HTTP.getValue(), "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1");
        Message userMsg = Message.builder()
                .role(Role.USER.getValue())
                .content("El siguiente comando muestra la información de la versión de Thrift instalada.")
                .build();
        Tm tm1 = Tm.builder()
                .source("Puede utilizar uno de los siguientes métodos para consultar la versión del motor de un clúster:")
                .target("You can use one of the following methods to query the engine version of a cluster:")
                .build();
        Tm tm2 = Tm.builder()
                .source("La versión de Thrift utilizada por nuestro HBase en la nube es la 0.9.0. Por lo tanto, recomendamos que la versión del cliente también sea la 0.9.0. Puede descargar Thrift 0.9.0 desde aquí. El paquete de código fuente descargado se utilizará posteriormente. Primero debe instalar el entorno de compilación de Thrift. Para la instalación desde el código fuente, puede consultar el sitio web oficial de Thrift.")
                .target("The version of Thrift used by ApsaraDB for HBase is 0.9.0. Therefore, we recommend that you use Thrift 0.9.0 to create a client. Click here to download Thrift 0.9.0. The downloaded source code package will be used later. You must install the Thrift compiling environment first. For more information, see Thrift official website.")
                .build();
        Tm tm3 = Tm.builder()
                .source("Puede instalar el SDK a través de PyPI. El comando de instalación es el siguiente:")
                .target("You can run the following command in Python Package Index (PyPI) to install Elastic Container Instance SDK for Python:")
                .build();
        TranslationOptions options = TranslationOptions.builder()
                .sourceLang("auto")
                .targetLang("English")
                .tmList(Arrays.asList(tm1, tm2, tm3))
                .build();
        GenerationParam param = GenerationParam.builder()
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen-mt-plus")
                .messages(Collections.singletonList(userMsg))
                .resultFormat(GenerationParam.ResultFormat.MESSAGE)
                .translationOptions(options)
                .build();
        return gen.call(param);
    }
    public static void main(String[] args) {
        try {
            GenerationResult result = callWithMessage();
            System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent());
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.err.println("Error message: "+e.getMessage());
        }
        System.exit(0);
    }
}

# ======= Penting =======
# URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
# === Hapus komentar ini sebelum eksekusi ====

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
  "model": "qwen-mt-turbo",
  "input": {
    "messages": [
      {
        "content": "El siguiente comando muestra la información de la versión de Thrift instalada.",
        "role": "user"
      }
    ]
  },
  "parameters": {
    "translation_options": {
      "source_lang": "auto",
      "target_lang": "English",
      "tm_list":[
          {"source": "Puede utilizar uno de los siguientes métodos para consultar la versión del motor de un clúster:", "target": "You can use one of the following methods to query the engine version of a cluster:"},
          {"source": "La versión de Thrift utilizada por nuestro HBase en la nube es la 0.9.0. Por lo tanto, recomendamos que la versión del cliente también sea la 0.9.0. Puede descargar Thrift 0.9.0 desde aquí. El paquete de código fuente descargado se utilizará posteriormente. Primero debe instalar el entorno de compilación de Thrift. Para la instalación desde el código fuente, puede consultar el sitio web oficial de Thrift.", "target": "The version of Thrift used by ApsaraDB for HBase is 0.9.0. Therefore, we recommend that you use Thrift 0.9.0 to create a client. Click here to download Thrift 0.9.0. The downloaded source code package will be used later. You must install the Thrift compiling environment first. For more information, see Thrift official website."},
          {"source": "Puede instalar el SDK a través de PyPI. El comando de instalación es el siguiente:", "target": "You can run the following command in Python Package Index (PyPI) to install Elastic Container Instance SDK for Python:"}
      ]
    }
  }
}'

import os
from openai import OpenAI

client = OpenAI(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
messages = [
    {
        "role": "user",
        "content": "La segunda instrucción SELECT devuelve un número que indica la cantidad de filas que habría devuelto la primera instrucción SELECT si no se hubiera utilizado la cláusula LIMIT."
    }
]

# --- Permintaan pertama: tanpa parameter domains ---
print("--- [Hasil terjemahan tanpa domains] ---")
translation_options_without_domains = {
    "source_lang": "auto",
    "target_lang": "English",
}

completion_without_domains = client.chat.completions.create(
    model="qwen-mt-plus",
    messages=messages,
    extra_body={
        "translation_options": translation_options_without_domains
    }
)
print(completion_without_domains.choices[0].message.content)

print("\n" + "="*50 + "\n") # Pemisah untuk perbandingan

# --- Permintaan kedua: dengan parameter domains ---
print("--- [Hasil terjemahan dengan domains] ---")
translation_options_with_domains = {
    "source_lang": "auto",
    "target_lang": "English",
    "domains": "The sentence is from Ali Cloud IT domain. It mainly involves computer-related software development and usage methods, including many terms related to computer software and hardware. Pay attention to professional troubleshooting terminologies and sentence patterns when translating. Translate into this IT domain style."
}

completion_with_domains = client.chat.completions.create(
    model="qwen-mt-plus",
    messages=messages,
    extra_body={
        "translation_options": translation_options_with_domains
    }
)
print(completion_with_domains.choices[0].message.content)

# ======= Penting =======
# URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
# === Hapus komentar ini sebelum eksekusi ====
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": "qwen-mt-turbo",
  "messages": [
    {
      "role": "user",
      "content": "La segunda instrucción SELECT devuelve un número que indica la cantidad de filas que habría devuelto la primera instrucción SELECT si no se hubiera utilizado la cláusula LIMIT."
    }
  ],
  "translation_options": {
    "source_lang": "auto",
    "target_lang": "English",
    "domains": "The sentence is from Ali Cloud IT domain. It mainly involves computer-related software development and usage methods, including many terms related to computer software and hardware. Pay attention to professional troubleshooting terminologies and sentence patterns when translating. Translate into this IT domain style."
  }
}'

import os
import dashscope

# URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
messages = [
    {
        "role": "user",
        "content": "La segunda instrucción SELECT devuelve un número que indica la cantidad de filas que habría devuelto la primera instrucción SELECT si no se hubiera utilizado la cláusula LIMIT."
    }
]
translation_options = {
    "source_lang": "auto",
    "target_lang": "English",
    "domains": "The sentence is from Ali Cloud IT domain. It mainly involves computer-related software development and usage methods, including many terms related to computer software and hardware. Pay attention to professional troubleshooting terminologies and sentence patterns when translating. Translate into this IT domain style."
}
response = dashscope.Generation.call(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model="qwen-mt-turbo",
    messages=messages,
    result_format='message',
    translation_options=translation_options
)
print(response.output.choices[0].message.content)

// SDK DashScope harus versi 2.20.6 atau lebih baru.
import java.lang.System;
import java.util.Collections;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.generation.GenerationParam;
import com.alibaba.dashscope.aigc.generation.GenerationResult;
import com.alibaba.dashscope.aigc.generation.TranslationOptions;
import com.alibaba.dashscope.common.Message;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.protocol.Protocol;

public class Main {
    public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
        // URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
        Generation gen = new Generation(Protocol.HTTP.getValue(), "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1");
        Message userMsg = Message.builder()
                .role(Role.USER.getValue())
                .content("La segunda instrucción SELECT devuelve un número que indica la cantidad de filas que habría devuelto la primera instrucción SELECT si no se hubiera utilizado la cláusula LIMIT.")
                .build();
        TranslationOptions options = TranslationOptions.builder()
                .sourceLang("auto")
                .targetLang("English")
                .domains("The sentence is from Ali Cloud IT domain. It mainly involves computer-related software development and usage methods, including many terms related to computer software and hardware. Pay attention to professional troubleshooting terminologies and sentence patterns when translating. Translate into this IT domain style.")
                .build();
        GenerationParam param = GenerationParam.builder()
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                // Catatan: qwen-mt-lite tidak mendukung prompting domain
                .model("qwen-mt-plus")
                .messages(Collections.singletonList(userMsg))
                .resultFormat(GenerationParam.ResultFormat.MESSAGE)
                .translationOptions(options)
                .build();
        return gen.call(param);
    }
    public static void main(String[] args) {
        try {
            GenerationResult result = callWithMessage();
            System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent());
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.err.println("Error message: "+e.getMessage());
        }
        System.exit(0);
    }
}

# ======= Penting =======
# URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
# === Hapus komentar ini sebelum eksekusi ====

curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
  "model": "qwen-mt-turbo",
  "input": {
    "messages": [
      {
        "content": "La segunda instrucción SELECT devuelve un número que indica la cantidad de filas que habría devuelto la primera instrucción SELECT si no se hubiera utilizado la cláusula LIMIT.",
        "role": "user"
      }
    ]
  },
  "parameters": {
    "translation_options": {
      "source_lang": "auto",
      "target_lang": "English",
      "domains": "The sentence is from Ali Cloud IT domain. It mainly involves computer-related software development and usage methods, including many terms related to computer software and hardware. Pay attention to professional troubleshooting terminologies and sentence patterns when translating. Translate into this IT domain style."}
  }
}'

import os
from openai import OpenAI

client = OpenAI(
    # Jika variabel lingkungan belum dikonfigurasi, ganti baris berikut dengan Kunci API Alibaba Cloud Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    # URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
    base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
prompt_template = """
# Role
You are a professional legal translation expert, proficient in both Spanish and English, and you are especially skilled at handling commercial contracts and legal documents.

# Task
I need you to translate the following Spanish legal text into professional, accurate, and formal English.

# Translation Requirements
1.  **Fidelity to the Original**: Strictly translate according to the meaning and legal intent of the original text. Do not add or omit information.
2.  **Precise Terminology**: Use standard legal terms common in the Common Law system. For example, "甲方" should be translated as "Party A", "乙方" as "Party B", and "不可抗力" as "Force Majeure".
3.  **Formal Tone**: Maintain the rigorous, objective, and formal style inherent in legal documents.
4.  **Clarity of Language**: The translation must be clear, unambiguous, and conform to the expressive conventions of English legal writing.
5.  **Format Preservation**: Retain the paragraphs, numbering, and basic format of the original text.

# Text to be Translated
{text_to_translate}
"""

# --- 2. Siapkan teks hukum yang akan diterjemahkan ---
chinese_legal_text = "Este contrato entrará en vigor a partir de la fecha en que ambas partes lo firmen y sellen, y tendrá una vigencia de un año."
final_prompt = prompt_template.format(text_to_translate=chinese_legal_text)

# --- 3. Buat messages ---
messages = [{"role": "user", "content": final_prompt}]

# --- 4. Lakukan permintaan API ---
completion = client.chat.completions.create(model="qwen-mt-plus", messages=messages)

# --- 5. Cetak hasil terjemahan model ---
translation_result = completion.choices[0].message.content
print(translation_result)

import OpenAI from 'openai';

const client = new OpenAI({
    apiKey: process.env.DASHSCOPE_API_KEY,
    // URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
    baseURL: "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
});

const promptTemplate = `
# Role
You are a professional legal translation expert, proficient in both Spanish and English, specializing in business contracts and legal documents.

# Task
I need you to translate the following Spanish legal text into professional, accurate, and formal English.

# Translation Requirements
1.  **Fidelity to the Original**: Translate strictly according to the meaning and legal intent of the original text. Do not add or omit information.
2.  **Precise Terminology**: Use standard legal terms common in the Common Law system. For example, "甲方" should be translated as "Party A", "乙方" as "Party B", and "不可抗力" as "Force Majeure".
3.  **Formal Tone**: Maintain the rigorous, objective, and formal tone inherent in legal documents.
4.  **Clarity**: The translation must be clear, unambiguous, and conform to the expressive conventions of English legal writing.
5.  **Format Preservation**: Retain the paragraphs, numbering, and basic format of the original text.

# Text to Translate
{text_to_translate}
`;

const spanishLegalText = "This Contract shall become effective from the date of signature and seal by both parties and shall be valid for a period of one year.";
const finalPrompt = promptTemplate.replace('{text_to_translate}', spanishLegalText);

const messages = [{"role": "user", "content": finalPrompt}];

async function main() {
    const completion = await client.chat.completions.create({
        model: "qwen-mt-plus",
        messages: messages
    });

    const translationResult = completion.choices[0].message.content;
    console.log(translationResult);
}

main();

import os
import dashscope

# URL dasar berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
prompt_template = """
# Role
You are a professional legal translation expert, proficient in both Spanish and English, with special expertise in handling business contracts and legal documents.

# Task
I need you to translate the following Spanish legal text into professional, accurate, and formal English.

# Translation Requirements
1.  **Fidelity to the Original**: Strictly translate according to the meaning and legal intent of the original text. Do not add or omit any information.
2.  **Precise Terminology**: Use standard legal terms common to the Common Law system. For example, "甲方" should be translated as "Party A", "乙方" as "Party B", and "不可抗力" as "Force Majeure".
3.  **Formal Tone**: Maintain the rigorous, objective, and formal style inherent in legal documents.
4.  **Clear Phrasing**: The translation must be clear, unambiguous, and conform to the conventions of English legal writing.
5.  **Preserve Formatting**: Maintain the paragraphs, numbering, and basic format of the original text.

# Text to be Translated
{text_to_translate}
"""

# --- 2. Siapkan teks hukum untuk diterjemahkan ---
chinese_legal_text = "This Contract shall become effective from the date of signature and seal by both parties and shall be valid for a period of one year."
final_prompt = prompt_template.format(text_to_translate=chinese_legal_text)

# --- 3. Buat messages ---
messages = [
    {
        "role": "user",
        "content": final_prompt
    }
]

response = dashscope.Generation.call(
    # Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Model Studio Anda: api_key="sk-xxx",
    api_key=os.getenv('DASHSCOPE_API_KEY'),
    model="qwen-mt-plus",
    messages=messages,
    result_format='message',
)
print(response.output.choices[0].message.content)

// SDK DashScope harus versi 2.20.6 atau lebih baru.
import java.lang.System;
import java.util.Collections;
import com.alibaba.dashscope.aigc.generation.Generation;
import com.alibaba.dashscope.aigc.generation.GenerationParam;
import com.alibaba.dashscope.aigc.generation.GenerationResult;
import com.alibaba.dashscope.common.Message;
import com.alibaba.dashscope.common.Role;
import com.alibaba.dashscope.exception.ApiException;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import com.alibaba.dashscope.protocol.Protocol;

public class Main {
    public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
        // URL berbeda-beda tergantung wilayah. Perbarui sesuai wilayah yang Anda gunakan.
        Generation gen = new Generation(Protocol.HTTP.getValue(), "https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1");
        String promptTemplate = "# Role\n" +
                "You are a professional legal translation expert, proficient in both Spanish and English, specializing in business contracts and legal documents.\n\n" +
                "# Task\n" +
                "I need you to translate the following Spanish legal text into professional, accurate, and formal English.\n\n" +
                "# Translation Requirements\n" +
                "1.  **Fidelity to the Original**: Translate strictly according to the meaning and legal intent of the original text. Do not add or omit information.\n" +
                "2.  **Precise Terminology**: Use standard legal terms common in the Common Law system. For example, \"甲方\" should be translated as \"Party A\", \"乙方\" as \"Party B\", and \"不可抗力\" as \"Force Majeure\".\n" +
                "3.  **Formal Tone**: Maintain the rigorous, objective, and formal tone inherent in legal documents.\n" +
                "4.  **Clarity**: The translation must be clear, unambiguous, and conform to the expressive conventions of English legal writing.\n" +
                "5.  **Format Preservation**: Retain the paragraphs, numbering, and basic format of the original text.\n\n" +
                "# Text to Translate\n" +
                "{text_to_translate}";

        String spanishLegalText = "This Contract shall become effective from the date of signature and seal by both parties and shall be valid for a period of one year.";
        String finalPrompt = promptTemplate.replace("{text_to_translate}", spanishLegalText);

        Message userMsg = Message.builder()
                .role(Role.USER.getValue())
                .content(finalPrompt)
                .build();

        GenerationParam param = GenerationParam.builder()
                // Jika Anda belum mengonfigurasi variabel lingkungan, ganti baris berikut dengan Kunci API Model Studio Anda: .apiKey("sk-xxx")
                .apiKey(System.getenv("DASHSCOPE_API_KEY"))
                .model("qwen-mt-plus")
                .messages(Collections.singletonList(userMsg))
                .resultFormat(GenerationParam.ResultFormat.MESSAGE)
                .build();
        return gen.call(param);
    }
    public static void main(String[] args) {
        try {
            GenerationResult result = callWithMessage();
            System.out.println(result.getOutput().getChoices().get(0).getMessage().getContent());
        } catch (ApiException | NoApiKeyException | InputRequiredException e) {
            System.err.println("Error message: "+e.getMessage());
            e.printStackTrace();
        }
        }
}