azure-ai-translation-ts — TypeScript клиент для сервиса Azure Translation

--- name: azure-ai-translation-ts description: "Text and document translation with REST-style clients." risk: unknown source: community date_added: "2026-02-27" --- # Azure Translation SDKs for TypeScript Text and document translation with REST-style clients. ## Installation ```bash # Text translation npm install @azure-rest/ai-translation-text @azure/identity # Document translation npm install @azure-rest/ai-translation-document @azure/identity ``` ## Environment Variables ```bash TRANSLATOR_ENDPOINT=https://api.cognitive.microsofttranslator.com TRANSLATOR_SUBSCRIPTION_KEY=<your-api-key> TRANSLATOR_REGION=<your-region> # e.g., westus, eastus ``` ## Text Translation Client ### Authentication ```typescript 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); ``` ### Translate Text ```typescript 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}: ${translation.text}`); } } ``` ### Translate with Options ```typescript const response = await client.path("/translate").post({ body: { inputs: [ { text: "Hello world", language: "en", textType: "Plain", // or "Html" targets: [ { language: "de", profanityAction: "NoAction", // "Marked" | "Deleted" tone: "formal", // LLM-specific }, ], }, ], }, }); ``` ### Get Supported Languages ```typescript const response = await client.path("/languages").get(); if (isUnexpected(response)) { throw response.body.error; } // Translation languages for (const [code, lang] of Object.entries(response.body.translation || {})) { console.log(`${code}: ${lang.name} (${lang.nativeName})`); } ``` ### Transliterate ```typescript 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 } } ``` ### Detect Language ```typescript 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}`); } } ``` ## Document Translation Client ### Authentication ```typescript 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>" }); ``` ### Single Document Translation ```typescript 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); } ``` ### Batch Document Translation ```typescript 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(); ``` ### Get Translation Status ```typescript 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}: ${doc.status}`); } ``` ### Get Supported Formats ```typescript const response = await client.path("/document/formats").get(); if (!isUnexpected(response)) { for (const format of response.body.value) { console.log(`${format.format}: ${format.fileExtensions.join(", ")}`); } } ``` ## Key Types ```typescript // 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"; ``` ## Best Practices 1. **Auto-detect source** - Omit `language` parameter to auto-detect 2. **Batch requests** - Translate multiple texts in one call for efficiency 3. **Use SAS tokens** - For document translation, use time-limited SAS URLs 4. **Handle errors** - Always check `isUnexpected(response)` before accessing body 5. **Regional endpoints** - Use regional endpoints for lower latency ## When to Use This skill is applicable to execute the workflow or actions described in the overview.