关于 azure-ai-translation-ts
面向 TypeScript 开发者的技能,介绍如何使用 Azure Translation REST 风格客户端翻译文本和文档。还涵盖语言检测、转写、支持的语言与格式查询,以及文档批量操作。
主要功能
- 01文本与文档翻译
- 02语言检测与文字转写
- 03查询支持的语言和格式
- 04批量操作与状态检查
适用场景
- 01将文本翻译成目标语言
- 02翻译单个或批量文档
- 03检测文本语言或转换文字体系
安装
复制下面的命令,在终端中运行。
$
npx skills add https:/ / github.com/ sickn33/ agentic-awesome-skills --skill azure-ai-translation-ts安装后在 Claude Code 中输入/azure-ai-translation-ts确认已加载。
详细介绍
TypeScript 版 Azure Translation SDK
使用 REST 风格客户端进行文本和文档翻译。
安装
# Text translation
npm install @azure-rest/ai-translation-text @azure/identity
# Document translation
npm install @azure-rest/ai-translation-document @azure/identity
环境变量
TRANSLATOR_ENDPOINT=https://api.cognitive.microsofttranslator.com
TRANSLATOR_SUBSCRIPTION_KEY=<your-api-key>
TRANSLATOR_REGION=<your-region> # e.g., westus, eastus
文本翻译客户端
身份验证
import TextTranslationClient, { TranslatorCredential } from "@azure-rest/ai-translation-text";
// API Key + Region
const credential: TranslatorCredential = {
key: process.env.TRANSLATOR_SUBSCRIPTION_KEY!,
region: process.env.TRANSLATOR_REGION!,
};
const client = TextTranslationClient(process.env.TRANSLATOR_ENDPOINT!, credential);
// Or just credential (uses global endpoint)
const client2 = TextTranslationClient(credential);
翻译文本
import TextTranslationClient, { isUnexpected } from "@azure-rest/ai-translation-text";
const response = await client.path("/translate").post({
body: {
inputs: [
{
text: "Hello, how are you?",
language: "en", // source (optional, auto-detect)
targets: [
{ language: "es" },
{ language: "fr" },
],
},
],
},
});
if (isUnexpected(response)) {
throw response.body.error;
}
for (const result of response.body.value) {
for (const translation of result.translations) {
console.log(`${translation.language}: ${translation.text}`);
}
}
使用选项翻译
const response = await client.path("/translate").post({
body: {
inputs: [
{
text: "Hello world",
language: "en",
textType: "Plain", // or "Html"
targets: [
{
language: "de",
profanityAction: "NoAction", // "Marked" | "Deleted"
tone: "formal", // LLM-specific
},
],
},
],
},
});
获取支持的语言
const response = await client.path("/languages").get();
if (isUnexpected(response)) {
throw response.body.error;
}
// Translation languages
for (const [code, lang] of Object.entries(response.body.translation || {})) {
console.log(`${code}: ${lang.name} (${lang.nativeName})`);
}
转写
const response = await client.path("/transliterate").post({
body: { inputs: [{ text: "这是个测试" }] },
queryParameters: {
language: "zh-Hans",
fromScript: "Hans",
toScript: "Latn",
},
});
if (!isUnexpected(response)) {
for (const t of response.body.value) {
console.log(`${t.script}: ${t.text}`); // Latn: zhè shì gè cè shì
}
}
检测语言
const response = await client.path("/detect").post({
body: { inputs: [{ text: "Bonjour le monde" }] },
});
if (!isUnexpected(response)) {
for (const result of response.body.value) {
console.log(`Language: ${result.language}, Score: ${result.score}`);
}
}
文档翻译客户端
身份验证
import DocumentTranslationClient from "@azure-rest/ai-translation-document";
import { DefaultAzureCredential } from "@azure/identity";
const endpoint = "https://<translator>.cognitiveservices.azure.com";
// TokenCredential
const client = DocumentTranslationClient(endpoint, new DefaultAzureCredential());
// API Key
const client2 = DocumentTranslationClient(endpoint, { key: "<api-key>" });
单文档翻译
import DocumentTranslationClient from "@azure-rest/ai-translation-document";
import { writeFile } from "node:fs/promises";
const response = await client.path("/document:translate").post({
queryParameters: {
targetLanguage: "es",
sourceLanguage: "en", // optional
},
contentType: "multipart/form-data",
body: [
{
name: "document",
body: "Hello, this is a test document.",
filename: "test.txt",
contentType: "text/plain",
},
],
}).asNodeStream();
if (response.status === "200") {
await writeFile("translated.txt", response.body);
}
批量文档翻译
import { ContainerSASPermissions, BlobServiceClient } from "@azure/storage-blob";
// Generate SAS URLs for source and target containers
const sourceSas = await sourceContainer.generateSasUrl({
permissions: ContainerSASPermissions.parse("rl"),
expiresOn: new Date(Date.now() + 24 * 60 * 60 * 1000),
});
const targetSas = await targetContainer.generateSasUrl({
permissions: ContainerSASPermissions.parse("rwl"),
expiresOn: new Date(Date.now() + 24 * 60 * 60 * 1000),
});
// Start batch translation
const response = await client.path("/document/batches").post({
body: {
inputs: [
{
source: { sourceUrl: sourceSas },
targets: [
{ targetUrl: targetSas, language: "fr" },
],
},
],
},
});
// Get operation ID from header
const operationId = new URL(response.headers["operation-location"])
.pathname.split("/").pop();
获取翻译状态
import { isUnexpected, paginate } from "@azure-rest/ai-translation-document";
const statusResponse = await client.path("/document/batches/{id}", operationId).get();
if (!isUnexpected(statusResponse)) {
const status = statusResponse.body;
console.log(`Status: ${status.status}`);
console.log(`Total: ${status.summary.total}`);
console.log(`Success: ${status.summary.success}`);
}
// List documents with pagination
const docsResponse = await client.path("/document/batches/{id}/documents", operationId).get();
const documents = paginate(client, docsResponse);
for await (const doc of documents) {
console.log(`${doc.id}: ${doc.status}`);
}
获取支持的格式
const response = await client.path("/document/formats").get();
if (!isUnexpected(response)) {
for (const format of response.body.value) {
console.log(`${format.format}: ${format.fileExtensions.join(", ")}`);
}
}
关键类型
// Text Translation
import type {
TranslatorCredential,
TranslatorTokenCredential,
} from "@azure-rest/ai-translation-text";
// Document Translation
import type {
DocumentTranslateParameters,
StartTranslationDetails,
TranslationStatus,
} from "@azure-rest/ai-translation-document";
最佳实践
- 自动检测源语言 - 省略
language参数以自动检测 - 批量请求 - 在一次调用中翻译多段文本以提高效率
- 使用 SAS 令牌 - 对于文档翻译,使用有时限的 SAS URL
- 处理错误 - 访问正文前,务必检查
isUnexpected(response) - 区域端点 - 使用区域端点以降低延迟
适用场景
当需要执行概述中所述的工作流或操作时,可使用此技能。
限制
- 仅当任务明确符合上述范围时,才使用此技能。
- 不要将输出视为针对特定环境进行验证、测试或专家审核的替代品。
- 如果缺少必要的输入、权限、安全边界或成功标准,请停止并请求澄清。
这些代码片段必须与已安装的 Translator 包/API 版本及所选资源端点相匹配。轮询文档操作前,请检查响应状态以及 operation-location 是否存在且有效;轮询次数应设上限,并处理失败或已取消状态。文本、文档和 SAS URL 会离开本地环境:请先授权此类传输,使用范围严格限定且有效期较短的 SAS 授权,并避免将其写入日志。
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