O Qwen-MT é um modelo de tradução automática ajustado a partir do Qwen3. Ele oferece suporte a 92 idiomas — incluindo chinês, inglês, japonês, coreano, francês, espanhol, alemão, tailandês, indonésio, vietnamita e árabe — e disponibiliza intervenção de termos, prompting de domínio e memória de tradução para controlar a qualidade da tradução.
Como funciona
Forneça o texto para tradução: O array
messagesdeve conter uma única mensagem comroledefinido comouser. Ocontentdessa mensagem corresponde ao texto que você deseja traduzir.-
Defina os idiomas: Especifique o idioma de origem (
source_lang) e o idioma de destino (target_lang) no parâmetrotranslation_options. Para obter a lista de idiomas suportados, consulte Idiomas suportados. Para permitir que o modelo detecte automaticamente o idioma de origem, definasource_langcomoauto.Especificar o idioma de origem melhora a precisão da tradução.
Você também pode definir o idioma usando prompts personalizados .
Os exemplos a seguir mostram como chamar o Qwen-MT usando os SDKs Python compatíveis com OpenAI e DashScope.
OpenAI compatible
# Import dependencies and create a client...
completion = client.chat.completions.create(
model="qwen-mt-flash", # Select the model
# The messages parameter must contain only one message with the role set to user, and its content is the text to be translated.
messages=[{"role": "user", "content": "No me reí después de ver este video"}],
# Because translation_options is not a standard OpenAI parameter, it must be passed in the extra_body parameter.
extra_body={"translation_options": {"source_lang": "auto", "target_lang": "English"}},
)DashScope
# Import dependencies...
response = dashscope.Generation.call(
api_key=os.getenv("DASHSCOPE_API_KEY"),
model="qwen-mt-flash", # Select a model
messages=[{"role": "user", "content": "No me reí después de ver este video"}], # messages: 'role' is 'user' and 'content' is the text to be translated.
translation_options={"source_lang": "auto", "target_lang": "English"}, # Configure translation options.
result_format="message"
)OpenAI compatible
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_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
base_url="https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
model="qwen-mt-turbo",
# The messages parameter must contain exactly one message with the role 'user', and its content is the text to be translated.
messages=[
{
"role": "user",
"content": "No me reí después de ver este video"
}
],
# Because translation_options is not a standard OpenAI parameter, you must pass it using the extra_body parameter.
extra_body={
# Configure translation options.
"translation_options": {
"source_lang": "auto",
"target_lang": "English"
}
},
)DashScope
import os
import dashscope
# The base_url varies by region. Update it based on the region you use.
dashscope.base_http_api_url = 'https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1'
response = dashscope.Generation.call(
api_key=os.getenv("DASHSCOPE_API_KEY"),
model="qwen-mt-turbo",
# The messages parameter must contain exactly one message with the role "user", and its content is the text to be translated.
messages=[
{
"role": "user",
"content": "No me reí después de ver este video"
}
],
# Configure translation options.
translation_options={
"source_lang": "auto",
"target_lang": "English",
}
result_format="message"
)
print(response.output.choices[0].message.content)Use o parâmetro translation_options para acessar recursos avançados de tradução, como intervenção de termos, memória de tradução e prompting de domínio.
Limitações
Apenas tradução de turno único: O Qwen-MT foi desenvolvido especificamente para tradução e não oferece suporte a conversas de múltiplos turnos.
Mensagens de sistema não suportadas: Não é possível definir comportamentos globais por meio de uma mensagem com função
system. Em vez disso, configure o comportamento da tradução no parâmetrotranslation_options.
Seleção de modelo
Para cenários gerais, escolha
qwen-mt-flash. Este modelo oferece o melhor equilíbrio entre qualidade, velocidade e custo, além de suportar saída em streaming incremental.Para obter a maior qualidade de tradução em domínios profissionais, escolha
qwen-mt-plus.Quando precisar da velocidade de resposta mais rápida em cenários simples e em tempo real, escolha
qwen-mt-lite.
A tabela a seguir compara os modelos disponíveis.
|
Modelo |
Cenário |
Resultado |
Velocidade |
Custo |
Idiomas suportados |
Streaming incremental |
|
qwen-mt-plus |
Oferece tradução de alta qualidade para cenários como campos profissionais, documentos formais, artigos acadêmicos e relatórios técnicos |
Melhor |
Padrão |
Alto |
92 |
|
|
qwen-mt-flash |
Recomendado para uso geral. Adequado para conteúdo de sites e aplicativos, descrições de produtos, comunicação diária e postagens de blog |
Bom |
Rápida |
Baixo |
92 |
|
|
qwen-mt-turbo |
Este modelo não receberá atualizações futuras. Use o flash em seu lugar. |
Regular |
Rápida |
Baixo |
92 |
|
|
qwen-mt-lite |
Projetado para cenários simples e sensíveis à latência, como chat em tempo real e tradução de comentários ao vivo |
Básico |
Mais rápida |
Mais baixo |
31 |
|
Verifique os limites da janela de contexto e os preços no console. Para limites de solicitações simultâneas, consulte Modelo de tradução Qwen.
Primeiros passos
Esta seção apresenta um exemplo simples: traduzir "No me reí después de ver este video" para o inglês.
Obtenha uma chave de API e exporte a chave de API como uma variável de ambiente. Se você usar o SDK da OpenAI ou o SDK DashScope para fazer chamadas, instale o SDK.
OpenAI compatible
Exemplo de solicitação
import os
from openai import OpenAI
client = OpenAI(
# If you have not configured the environment variable, replace the following line with your Alibaba Cloud Model Studio API key: api_key="sk-xxx",
# The API keys for the regions are different. 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 base_url varies by region. Update it based on the region you use.
base_url="https://{WorkspaceId}.cn-beijing.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)# ======= Important =======
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The base_url varies by region. Update it based on the region you use.
# === 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": "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
from openai import OpenAI
client = OpenAI(
# If you have not configured the environment variable, replace the following line with your Alibaba Cloud Model Studio API key: api_key="sk-xxx",
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
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)# ======= Important =======
# The URL varies by region. Update it based on the region you use.
# === 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": "qwen-mt-flash",
"messages": [{"role": "user", "content": "No me reí después de ver este video"}],
"translation_options": {
"source_lang": "auto",
"target_lang": "English"
}
}'
Exemplo de resposta
I didn't laugh after watching this video. DashScope
Exemplo de solicitação
Importante
O SDK Java do DashScope deve ser da versão 2.20.6 ou posterior.
import os
import dashscope
# The following URL is for the China (Beijing) region. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.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(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv('DASHSCOPE_API_KEY'),
model="qwen-mt-flash",
messages=messages,
result_format='message',
translation_options=translation_options
)
print(response.output.choices[0].message.content)// The DashScope SDK must be version 2.20.6 or later.
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.utils.Constants;
public class Main {
// The following is the base URL for the Beijing region. Replace {WorkspaceId} with your actual workspace ID. URLs differ by region.
static {Constants.baseHttpApiUrl="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";}
public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
Generation gen = new Generation();
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()
// If you have not configured an environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
.apiKey(System.getenv("DASHSCOPE_API_KEY"))
.model("qwen-mt-flash")
.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);
}
}
}# ======= Important =======
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The URL varies by region. Update it based on the region you use.
# === Delete this comment before execution ===
curl -X POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-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"
}
}
}'import os
import dashscope
# The base_url varies by region. Update it based on the region you use.
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(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv('DASHSCOPE_API_KEY'),
model="qwen-mt-turbo", # This example uses qwen-mt-turbo. You can replace it with another model name as needed.
messages=messages,
result_format='message',
translation_options=translation_options
)
print(response.output.choices[0].message.content)// DashScope SDK 2.20.6 or later is required.
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 {
// The URL varies by region. Update it based on the region you use.
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()
// If you have not configured the environment variable, replace the following line with your Alibaba Cloud Model Studio API key: .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);
}
}
}# ======= Important =======
# The URL varies by region. Update it based on the region you use.
# === Delete this comment before execution ====
curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: $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"
}
}
}'Exemplo de resposta
I didn't laugh after watching this video. Saída em streaming
A saída em streaming entrega o conteúdo traduzido de forma incremental, reduzindo a latência percebida. Atualmente, o qwen-mt-flash e o qwen-mt-lite suportam streaming incremental, em que cada resposta contém apenas o conteúdo recém-gerado. Ative esse recurso com o parâmetro incremental_output. Já o qwen-mt-plus e o qwen-mt-turbo suportam apenas streaming não incremental, onde cada resposta retorna a tradução completa até aquele momento. Para mais informações, consulte Saída em streaming.
OpenAI compatible
Exemplo de solicitação
import os
from openai import OpenAI
client = OpenAI(
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
base_url="https://{WorkspaceId}.cn-beijing.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("\n"+"="*20+"Usage"+"="*20)
print(chunk.usage)# ======= Important =======
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The base_url varies by region. Update it based on the region you use.
# === 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": "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
from openai import OpenAI
client = OpenAI(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
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)# ======= Important =======
# The URL varies by region. Update it based on the region you use.
# === 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": "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"
}
}'Exemplo de resposta
I didn’t laugh after watching this video.
====================Usage====================
CompletionUsage(completion_tokens=9, prompt_tokens=56, total_tokens=65, completion_tokens_details=None, prompt_tokens_details=None)DashScope
Exemplo de solicitação
import os
import dashscope
# The following URL is for the China (Beijing) region. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.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(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv('DASHSCOPE_API_KEY'),
model="qwen-mt-flash",
messages=messages,
result_format='message',
stream=True,
# To get incremental output, set incremental_output to True. This is recommended. Currently, only qwen-mt-flash supports this feature.
incremental_output=True,
translation_options=translation_options
)
for chunk in response:
print(chunk.output.choices[0].message.content, end="", flush=True)// The DashScope SDK must be version 2.20.6 or later.
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.utils.Constants;
import java.util.Arrays;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import io.reactivex.Flowable;
public class Main {
// The following is the base URL for the Beijing region. Replace {WorkspaceId} with your actual workspace ID. URLs differ by region.
static {Constants.baseHttpApiUrl="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";}
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()
// If you have not configured an environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
.apiKey(System.getenv("DASHSCOPE_API_KEY"))
.model("qwen-mt-flash")
.resultFormat(GenerationParam.ResultFormat.MESSAGE)
.translationOptions(options)
// Enable incremental output. This is supported only by qwen-mt-flash.
.incrementalOutput(true)
.messages(Arrays.asList(userMsg))
.build();
}
public static void main(String[] args) {
try {
Generation gen = new Generation();
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);
}
}# ======= Important =======
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The URL varies by region. Update it based on the region you use.
# === Delete this comment before execution ===
curl -X POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: $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
import dashscope
# The base_url varies by region. Update it based on the region you use.
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(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv('DASHSCOPE_API_KEY'),
model="qwen-mt-flash", # This example uses qwen-mt-turbo. You can replace it with another model name as needed.
messages=messages,
result_format='message',
stream=True,
# To get incremental output, set incremental_output to True. This is recommended. Currently, only qwen-mt-flash supports this feature.
incremental_output=True,
translation_options=translation_options
)
for chunk in response:
print(chunk.output.choices[0].message.content, end="", flush=True)// The DashScope SDK must be version 2.20.6 or later.
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)
// Enable incremental output. This is supported only by qwen-mt-flash.
.incrementalOutput(true)
.messages(Arrays.asList(userMsg))
.build();
}
public static void main(String[] args) {
try {
// The URL varies by region. Update it based on the region you use.
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);
}
}# ======= Important =======
# The URL varies by region. Update it based on the region you use.
# === Delete this comment before execution ====
curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: $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
}'Exemplo de resposta
I didn't laugh after watching this video. O qwen-mt-plus e o qwen-mt-turbo não suportam saída em streaming incremental.
Melhore a qualidade da tradução
A tradução básica funciona bem para casos de uso cotidianos, como comunicação informal. No entanto, em tarefas de tradução profissional ou de alta importância, você pode enfrentar desafios específicos:
Terminologia inconsistente: Nomes de produtos ou termos específicos do setor são traduzidos incorretamente ou apresentam inconsistências ao longo do texto.
Estilo inadequado: O texto traduzido não corresponde ao tom ou às convenções esperadas em um domínio específico, como conteúdo jurídico ou de marketing.
O Qwen-MT oferece três recursos para resolver esses desafios: intervenção de termos, memória de tradução e prompting de domínio.
Intervenção de termos
Forneça um glossário no campo terms para garantir que nomes de marcas, nomes de produtos ou termos técnicos sejam traduzidos de forma consistente em todas as ocorrências.
Para definir e passar seu glossário:
-
Defina os termos
Crie um array JSON e atribua-o ao campo
terms. Cada objeto no array mapeia um termo de origem para sua tradução obrigatória:{ "source": "term", "target": "pre-translated term" } -
Passe os termos
Passe o parâmetro
translation_optionsincluindo seu arrayterms.
OpenAI compatible
Exemplo de solicitação
import os
from openai import OpenAI
client = OpenAI(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
base_url="https://{WorkspaceId}.cn-beijing.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."
}
]
# --- First request: without the terms parameter ---
print("--- [Translation result without terms] ---")
translation_options_without_terms = {
"source_lang": "auto",
"target_lang": "English"
}
completion_without_terms = client.chat.completions.create(
model="qwen-mt-plus",
messages=messages,
extra_body={
"translation_options": translation_options_without_terms
}
)
print(completion_without_terms.choices[0].message.content)
print("\n" + "="*50 + "\n") # Separator for comparison
# --- Second request: with the terms parameter ---
print("--- [Translation result with 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-plus",
messages=messages,
extra_body={
"translation_options": translation_options_with_terms
}
)
print(completion_with_terms.choices[0].message.content)# ======= Important =======
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The base_url varies by region. Update it based on the region you use.
# === 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": "qwen-mt-plus",
"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
from openai import OpenAI
client = OpenAI(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
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."
}
]
# --- First request: without the terms parameter ---
print("--- [Translation result without 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") # Separator for comparison
# --- Second request: with the terms parameter ---
print("--- [Translation result with 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)# ======= Important =======
# The URL varies by region. Update it based on the region you use.
# === 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": "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"
}
]
}
}'Exemplo de resposta
Após adicionar o glossário, a saída da tradução reflete os termos especificados: "biological sensor" e "health status of the body".
--- [Translation result without terms] ---
This set of biosensors uses graphene, a new material, whose target substance is chemical elements. Its sensitive "sense of smell" allows it to more deeply and accurately reflect one's health condition.
==================================================
--- [Translation result with terms] ---
This biological sensor uses a new material called graphene. Its target is chemical elements, and its sensitive "sense of smell" enables it to reflect the health status of the body more deeply and accurately.DashScope
Exemplo de solicitação
import os
import dashscope
# The following URL is for the China (Beijing) region. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.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(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv('DASHSCOPE_API_KEY'),
model="qwen-mt-plus",
messages=messages,
result_format='message',
translation_options=translation_options
)
print(response.output.choices[0].message.content)// The DashScope SDK must be version 2.20.6 or later.
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.utils.Constants;
public class Main {
// The following is the base URL for the Beijing region. Replace {WorkspaceId} with your actual workspace ID. URLs differ by region.
static {Constants.baseHttpApiUrl="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";}
public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
Generation gen = new Generation();
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()
// If you have not configured an environment variable, replace the following line with your Model Studio API key: .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());
}
System.exit(0);
}
}# ======= Important =======
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The URL varies by region. Update it based on the region you use.
# === Delete this comment before execution ===
curl -X POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "qwen-mt-plus",
"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
import dashscope
# The base_url varies by region. Update it based on the region you use.
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(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv('DASHSCOPE_API_KEY'),
model="qwen-mt-turbo", # This example uses qwen-mt-turbo. You can replace it with another model name as needed.
messages=messages,
result_format='message',
translation_options=translation_options
)
print(response.output.choices[0].message.content)// The DashScope SDK must be version 2.20.6 or later.
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 {
// The URL varies by region. Update it based on the region you use.
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);
}
}# ======= Important =======
# The URL varies by region. Update it based on the region you use.
# === Delete this comment before execution ====
curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: $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"
}
]
}
}
}'Exemplo de resposta
This biological sensor uses graphene, a new material, and its target is chemical elements. Its sensitive "nose" can more deeply and accurately reflect the health status of the human body. Memória de tradução
Para que o modelo siga um estilo de tradução ou padrão de frases específico, forneça pares de frases origem-alvo como exemplos no campo tm_list. O modelo aprende o estilo desses pares de referência e o aplica à tradução atual. Esse recurso é útil para manter a consistência em grandes conjuntos de documentação ou ao adaptar o conteúdo às convenções de redação estabelecidas pela organização.
-
Definir a memória de tradução
Crie um array JSON chamado
tm_list. Cada objeto associa uma frase de origem à sua tradução de referência:{ "source": "source statement", "target": "translated statement" } -
Passar a memória de tradução
Inclua o parâmetro
translation_optionscom o array da memória de tradução.
O exemplo a seguir demonstra a memória de tradução em ação.
OpenAI compatible
Exemplo de solicitação
import os
from openai import OpenAI
client = OpenAI(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
base_url="https://{WorkspaceId}.cn-beijing.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)# ======= Important =======
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The base_url varies by region. Update it based on the region you use.
# === 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": "qwen-mt-plus",
"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
from openai import OpenAI
client = OpenAI(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
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)# ======= Important =======
# The URL varies by region. Update it based on the region you use.
# === 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": "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:"}
]
}
}'Exemplo de resposta
You can run the following command to view the version of Thrift that is installed:DashScope
Exemplo de solicitação
import os
import dashscope
# The following URL is for the China (Beijing) region. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.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(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv('DASHSCOPE_API_KEY'),
model="qwen-mt-plus",
messages=messages,
result_format='message',
translation_options=translation_options
)
print(response.output.choices[0].message.content)// The DashScope SDK must be version 2.20.6 or later.
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.utils.Constants;
public class Main {
// The following is the base URL for the Beijing region. Replace {WorkspaceId} with your actual workspace ID. URLs differ by region.
static {Constants.baseHttpApiUrl="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";}
public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
Generation gen = new Generation();
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()
// If you have not configured an environment variable, replace the following line with your Model Studio API key: .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());
}
System.exit(0);
}
}# ======= Important =======
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The URL varies by region. Update it based on the region you use.
# === Delete this comment before execution ===
curl -X POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "qwen-mt-plus",
"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
import dashscope
# The base_url varies by region. Update it based on the region you use.
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(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv('DASHSCOPE_API_KEY'),
model="qwen-mt-turbo", # This example uses qwen-mt-turbo. You can replace it with another model name as needed.
messages=messages,
result_format='message',
translation_options=translation_options
)
print(response.output.choices[0].message.content)// The DashScope SDK must be version 2.20.6 or later.
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 {
// The URL varies by region. Update it based on the region you use.
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);
}
}# ======= Important =======
# The URL varies by region. Update it based on the region you use.
# === Delete this comment before execution ====
curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: $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:"}
]
}
}'Exemplo de resposta
You can use the following commands to check the version information of thrift installed; Prompt de domínio
Envie um prompt de domínio em translation_options para ajustar o estilo da tradução a uma área específica. Por exemplo, conteúdos jurídicos ou governamentais exigem linguagem formal, enquanto publicações em redes sociais funcionam melhor com um tom coloquial.
Importante
Atualmente, os prompts de domínio suportam apenas inglês.
OpenAI compatible
Exemplo de solicitação
import os
from openai import OpenAI
client = OpenAI(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
base_url="https://{WorkspaceId}.cn-beijing.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."
}
]
# --- First request: without the domains parameter ---
print("--- [Translation result without 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") # Separator for comparison
# --- Second request: with the domains parameter ---
print("--- [Translation result with 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)# ======= Important =======
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The base_url varies by region. Update it based on the region you use.
# === 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": "qwen-mt-plus",
"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
from openai import OpenAI
client = OpenAI(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
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."
}
]
# --- First request: without the domains parameter ---
print("--- [Translation result without 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") # Separator for comparison
# --- Second request: with the domains parameter ---
print("--- [Translation result with 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)# ======= Important =======
# The URL varies by region. Update it based on the region you use.
# === 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": "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."
}
}'Exemplo de resposta
--- [Translation result without domains] ---
The second SELECT statement returns a number indicating how many rows the first SELECT statement would return without the LIMIT clause.
==================================================
--- [Translation result with domains] ---
The second SELECT statement returns a number that indicates how many rows the first SELECT statement would have returned if it had not included a LIMIT clause.DashScope
Exemplo de solicitação
import os
import dashscope
# The following URL is for the China (Beijing) region. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.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(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: api_key="sk-xxx",
api_key=os.getenv('DASHSCOPE_API_KEY'),
model="qwen-mt-plus",
messages=messages,
result_format='message',
translation_options=translation_options
)
print(response.output.choices[0].message.content)// The DashScope SDK must be version 2.20.6 or later.
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.utils.Constants;
public class Main {
// The following is the base URL for the Beijing region. Replace {WorkspaceId} with your actual workspace ID. URLs differ by region.
static {Constants.baseHttpApiUrl="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";}
public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
Generation gen = new Generation();
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()
// If you have not configured an environment variable, replace the following line with your Model Studio API key: .apiKey("sk-xxx")
.apiKey(System.getenv("DASHSCOPE_API_KEY"))
// Note: qwen-mt-lite does not support domain prompting
.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);
}
}# ======= Important =======
# The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
# The URL varies by region. Update it based on the region you use.
# === Delete this comment before execution ===
curl -X POST https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: $DASHSCOPE_API_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "qwen-mt-plus",
"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
import dashscope
# The base_url varies by region. Update it based on the region you use.
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(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: 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)// The DashScope SDK must be version 2.20.6 or later.
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 {
// The URL varies by region. Update it based on the region you use.
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"))
// Note: qwen-mt-lite does not support domain prompting
.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);
}
}# ======= Important =======
# The URL varies by region. Update it based on the region you use.
# === Delete this comment before execution ====
curl -X POST https://{WorkspaceId}.ap-southeast-1.maas.aliyuncs.com/api/v1/services/aigc/text-generation/generation \
-H "Authorization: $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."}
}
}'Exemplo de resposta
The second SELECT statement returns a number that indicates how many rows were returned by the first SELECT statement without a LIMIT clause. Prompts personalizados
Utilize prompts personalizados com o Qwen-MT para controlar detalhes como idioma de destino, tom ou domínio. Observe que essa abordagem é mutuamente exclusiva com o parâmetro translation_options. Se você fornecer ambos, o translation_options poderá ser ignorado.
Para obter os melhores resultados de tradução, utilize translation_options para definir as configurações de tradução.
O exemplo a seguir mostra uma tradução jurídica do espanhol para o inglês usando um prompt detalhado:
OpenAI compatible
import os
from openai import OpenAI
client = OpenAI(
# If you have not configured an environment variable, replace the following line with your Alibaba Cloud Model Studio API key: api_key="sk-xxx",
# The API keys for the regions are different. To get an API key, visit: https://www.alibabacloud.com/help/en/model-studio/get-api-key
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
base_url="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/compatible-mode/v1",
)
prompt_template = """
# Role
You are a professional legal translation expert, proficient in both Spanish and English, and you specialize in 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. **Faithful to the Original Text**: Strictly translate according to the original meaning and legal intent. Do not add or omit any information.
2. **Accurate 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. **Clear Phrasing**: The translation must be clear, unambiguous, and conform to the conventions of English legal writing.
5. **Format Preservation**: Preserve the paragraphs, numbering, and basic format of the original text.
# Text to be Translated
{text_to_translate}
"""
# --- 2. Prepare the legal text for translation ---
chinese_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_text)
# --- 3. Construct the messages ---
messages = [{"role": "user", "content": final_prompt}]
# --- 4. Initiate the API request ---
completion = client.chat.completions.create(model="qwen-mt-plus", messages=messages)
# --- 5. Print the model's translation result ---
translation_result = completion.choices[0].message.content
print(translation_result)import OpenAI from 'openai';
const client = new OpenAI({
// If you have not configured an environment variable, replace the following line with your Model Studio API key: apiKey: "sk-xxx",
// The API keys for the regions are different. For more information about how to get an API key, see https://www.alibabacloud.com/help/en/model-studio/get-api-key
apiKey: process.env.DASHSCOPE_API_KEY,
// The base_url varies by region. Update it based on the region you use.
baseURL: "https://{WorkspaceId}.cn-beijing.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
from openai import OpenAI
client = OpenAI(
# If the environment variable is not configured, replace the following line with your Alibaba Cloud Model Studio API Key: api_key="sk-xxx",
api_key=os.getenv("DASHSCOPE_API_KEY"),
# The base_url varies by region. Update it based on the region you use.
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. Prepare the legal text to be translated ---
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. Construct the messages ---
messages = [{"role": "user", "content": final_prompt}]
# --- 4. Initiate the API request ---
completion = client.chat.completions.create(model="qwen-mt-plus", messages=messages)
# --- 5. Print the model's translation result ---
translation_result = completion.choices[0].message.content
print(translation_result)import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.DASHSCOPE_API_KEY,
// The base_url varies by region. Update it based on the region you use.
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();Exemplo de resposta
This Contract shall become effective from the date on which both parties sign and affix their seals, and its term of validity shall be one year.DashScope
Exemplo de solicitação
import os
import dashscope
# The following URL is for the China (Beijing) region. Replace {WorkspaceId} with your actual workspace ID. URLs vary by region.
dashscope.base_http_api_url = "https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1"
prompt_template = """
# Role
You are a professional legal translation expert who is proficient in 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**: Strictly translate according to the meaning and legal intent of the original text. Do not add or omit information.
2. **Terminological Accuracy**: 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 Phrasing**: The translation must be clear, unambiguous, and conform to the 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. Prepare the Spanish legal text to be translated ---
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. Build the messages ---
messages = [
{
"role": "user",
"content": final_prompt
}
]
response = dashscope.Generation.call(
# If you have not configured an environment variable, replace the following line with your Alibaba Cloud Model Studio API key: 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)// The DashScope SDK must be version 2.20.6 or later.
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.utils.Constants;
public class Main {
// The following is the base URL for the Beijing region. Replace {WorkspaceId} with your actual workspace ID. URLs differ by region.
static {Constants.baseHttpApiUrl="https://{WorkspaceId}.cn-beijing.maas.aliyuncs.com/api/v1";}
public static GenerationResult callWithMessage() throws ApiException, NoApiKeyException, InputRequiredException {
Generation gen = new Generation();
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()
// If you have not configured an environment variable, replace the following line with your Model Studio API key: .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();
}
}
}import os
import dashscope
# The base_url varies by region. Update it based on the region you use.
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. Prepare the legal text for translation ---
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. Construct the messages ---
messages = [
{
"role": "user",
"content": final_prompt
}
]
response = dashscope.Generation.call(
# If you have not configured an environment variable, replace the following line with your Model Studio API key: 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)// The DashScope SDK must be version 2.20.6 or later.
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 {
// The URL varies by region. Update it based on the region you use.
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()
// If you have not configured an environment variable, replace the following line with your Model Studio API key: .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();
}
}
}Exemplo de resposta
This Contract shall become effective from the date on which both parties sign and affix their seals, and its term of validity shall be one year.Entrada em produção
-
Controle a contagem de tokens de entrada
Os modelos Qwen-MT aceitam no máximo 8.192 tokens de entrada. Para conteúdos mais longos, adote as estratégias abaixo para permanecer dentro desse limite:
Traduza em segmentos: Divida textos extensos em blocos gerenciáveis respeitando limites semânticos naturais, como parágrafos ou frases completas, em vez de dividir por contagem de caracteres. Isso preserva a coerência contextual e gera traduções mais precisas.
Forneça apenas as referências mais relevantes: Termos, entradas de memória de tradução e prompts de domínio consomem tokens de entrada. Inclua somente referências diretamente pertinentes ao texto sendo traduzido. Evite passar grandes listas genéricas de referências.
-
Defina source_lang conforme o cenário
Quando o idioma de origem for incerto — por exemplo, em cenários de chat multilíngue — defina
source_langcomoauto. O modelo identifica o idioma automaticamente.Caso o idioma de origem seja conhecido e a precisão for crítica — como em documentação técnica ou manuais operacionais — sempre especifique
source_langexplicitamente. Essa prática melhora a acurácia da tradução.
Idiomas suportados
Ao enviar uma solicitação, utilize o Nome em inglês ou o Código das tabelas abaixo.
Se não tiver certeza sobre o idioma de origem, defina o parâmetrosource_langcomoautopara detecção automática.
Languages supported by qwen-mt-plus/flash/turbo (92)
|
Language |
English name |
Code |
|
English |
English |
en |
|
Simplified Chinese |
Chinese |
zh |
|
Traditional Chinese |
Traditional Chinese |
zh_tw |
|
Russian |
Russian |
ru |
|
Japanese |
Japanese |
ja |
|
Korean |
Korean |
ko |
|
Spanish |
Spanish |
es |
|
French |
French |
fr |
|
Portuguese |
Portuguese |
pt |
|
German |
German |
de |
|
Italian |
Italian |
it |
|
Thai |
Thai |
th |
|
Vietnamese |
Vietnamese |
vi |
|
Indonesian |
Indonesian |
id |
|
Malay |
Malay |
ms |
|
Arabic |
Arabic |
ar |
|
Hindi |
Hindi |
hi |
|
Hebrew |
Hebrew |
he |
|
Burmese |
Burmese |
my |
|
Tamil |
Tamil |
ta |
|
Urdu |
Urdu |
ur |
|
Bengali |
Bengali |
bn |
|
Polish |
Polish |
pl |
|
Dutch |
Dutch |
nl |
|
Romanian |
Romanian |
ro |
|
Turkish |
Turkish |
tr |
|
Khmer |
Khmer |
km |
|
Lao |
Lao |
lo |
|
Cantonese |
Cantonese |
yue |
|
Czech |
Czech |
cs |
|
Greek |
Greek |
el |
|
Swedish |
Swedish |
sv |
|
Hungarian |
Hungarian |
hu |
|
Danish |
Danish |
da |
|
Finnish |
Finnish |
fi |
|
Ukrainian |
Ukrainian |
uk |
|
Bulgarian |
Bulgarian |
bg |
|
Serbian |
Serbian |
sr |
|
Telugu |
Telugu |
te |
|
Afrikaans |
Afrikaans |
af |
|
Armenian |
Armenian |
hy |
|
Assamese |
Assamese |
as |
|
Asturian |
Asturian |
ast |
|
Basque |
Basque |
eu |
|
Belarusian |
Belarusian |
be |
|
Bosnian |
Bosnian |
bs |
|
Catalan |
Catalan |
ca |
|
Cebuano |
Cebuano |
ceb |
|
Croatian |
Croatian |
hr |
|
Egyptian Arabic |
Egyptian Arabic |
arz |
|
Estonian |
Estonian |
et |
|
Galician |
Galician |
gl |
|
Georgian |
Georgian |
ka |
|
Gujarati |
Gujarati |
gu |
|
Icelandic |
Icelandic |
is |
|
Javanese |
Javanese |
jv |
|
Kannada |
Kannada |
kn |
|
Kazakh |
Kazakh |
kk |
|
Latvian |
Latvian |
lv |
|
Lithuanian |
Lithuanian |
lt |
|
Luxembourgish |
Luxembourgish |
lb |
|
Macedonian |
Macedonian |
mk |
|
Maithili |
Maithili |
mai |
|
Maltese |
Maltese |
mt |
|
Marathi |
Marathi |
mr |
|
Mesopotamian Arabic |
Mesopotamian Arabic |
acm |
|
Moroccan Arabic |
Moroccan Arabic |
ary |
|
Najdi Arabic |
Najdi Arabic |
ars |
|
Nepali |
Nepali |
ne |
|
North Azerbaijani |
North Azerbaijani |
az |
|
North Levantine Arabic |
North Levantine Arabic |
apc |
|
Northern Uzbek |
Northern Uzbek |
uz |
|
Norwegian Bokmål |
Norwegian Bokmål |
nb |
|
Norwegian Nynorsk |
Norwegian Nynorsk |
nn |
|
Occitan |
Occitan |
oc |
|
Odia |
Odia |
or |
|
Pangasinan |
Pangasinan |
pag |
|
Sicilian |
Sicilian |
scn |
|
Sindhi |
Sindhi |
sd |
|
Sinhala |
Sinhala |
si |
|
Slovak |
Slovak |
sk |
|
Slovenian |
Slovenian |
sl |
|
South Levantine Arabic |
South Levantine Arabic |
ajp |
|
Swahili |
Swahili |
sw |
|
Tagalog |
Tagalog |
tl |
|
Ta’izzi-Adeni Arabic |
Ta’izzi-Adeni Arabic |
acq |
|
Tosk Albanian |
Tosk Albanian |
sq |
|
Tunisian Arabic |
Tunisian Arabic |
aeb |
|
Venetian |
Venetian |
vec |
|
Valaisan |
Waray |
war |
|
Welsh |
Welsh |
cy |
|
Western Persian |
Western Persian |
fa |
Languages supported by qwen-mt-lite (31)
|
Language |
English name |
Code |
|
English |
English |
en |
|
Simplified Chinese |
Chinese |
zh |
|
Traditional Chinese |
Traditional Chinese |
zh_tw |
|
Russian |
Russian |
ru |
|
Japanese |
Japanese |
ja |
|
Korean |
Korean |
ko |
|
Spanish |
Spanish |
es |
|
French |
French |
fr |
|
Portuguese |
Portuguese |
pt |
|
German |
German |
de |
|
Italian |
Italian |
it |
|
Thai |
Thai |
th |
|
Vietnamese |
Vietnamese |
vi |
|
Indonesian |
Indonesian |
id |
|
Malay |
Malay |
ms |
|
Arabic |
Arabic |
ar |
|
Hindi |
Hindi |
hi |
|
Hebrew |
Hebrew |
he |
|
Urdu |
Urdu |
ur |
|
Bengali |
Bengali |
bn |
|
Polish |
Polish |
pl |
|
Dutch |
Dutch |
nl |
|
Turkish |
Turkish |
tr |
|
Khmer |
Khmer |
km |
|
Czech |
Czech |
cs |
|
Swedish |
Swedish |
sv |
|
Hungarian |
Hungarian |
hu |
|
Danish |
Danish |
da |
|
Finnish |
Finnish |
fi |
|
Tagalog |
Tagalog |
tl |
|
Persian |
Persian |
fa |
Referência da API
Para especificações detalhadas dos parâmetros de entrada e saída, consulte Qwen-MT.