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MaisonMaison Skill Développement d'API azure-ai-translation-ts

azure-ai-translation-ts

microsoft/skills microsoft/skills

Traduisez du texte, translittérez entre des scripts, détectez des langues et effectuez une traduction par lots de documents à l’aide des SDK Azure Translation pour TypeScript.

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Heure mise à jour 15 septembre 2026

SDK Azure Translation pour TypeScript

Traduction de texte et de documents à l'aide de clients de style REST.

Installation

# Traduction de texte
npm install @azure-rest/ai-translation-text @azure/identity

# Traduction de documents
npm install @azure-rest/ai-translation-document @azure/identity

Variables d'environnement

TRANSLATOR_ENDPOINT=https://api.cognitive.microsofttranslator.com
TRANSLATOR_SUBSCRIPTION_KEY=<your-api-key>
TRANSLATOR_REGION=<your-region>  # Par exemple, westus, eastus
AZURE_TOKEN_CREDENTIALS=prod # Requis uniquement si DefaultAzureCredential est utilisé en production
</your-region></your-api-key>

Client de traduction de texte

Authentification

import TextTranslationClient, { TranslatorCredential } from "@azure-rest/ai-translation-text";

// Clé API + Région
const credential: TranslatorCredential = {
  key: process.env.TRANSLATOR_SUBSCRIPTION_KEY!,
  region: process.env.TRANSLATOR_REGION!,
};
const client = TextTranslationClient(process.env.TRANSLATOR_ENDPOINT!, credential);

// Ou uniquement les informations d'identification (utilise le point de terminaison global)
const client2 = TextTranslationClient(credential);

Traduire du texte

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 (facultatif, détection automatique)
        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}`);
  }
}

Traduire avec des options

const response = await client.path("/translate").post({
  body: {
    inputs: [
      {
        text: "Hello world",
        language: "en",
        textType: "Plain",  // ou "Html"
        targets: [
          {
            language: "de",
            profanityAction: "NoAction",  // "Marked" | "Deleted"
            tone: "formal",  // Spécifique au LLM
          },
        ],
      },
    ],
  },
});

Obtenir les langues prises en charge

const response = await client.path("/languages").get();

if (isUnexpected(response)) {
  throw response.body.error;
}

// Langues de traduction
for (const [code, lang] of Object.entries(response.body.translation || {})) {
  console.log(`${code}: ${lang.name} (${lang.nativeName})`);
}

Translittération

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
  }
}

Détecter la langue

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}`);
  }
}

Client de traduction de documents

Authentification

import DocumentTranslationClient from "@azure-rest/ai-translation-document";
import { DefaultAzureCredential, ManagedIdentityCredential } from "@azure/identity";

const endpoint = "https://<translator>.cognitiveservices.azure.com";

// Développement local : DefaultAzureCredential. Production : définir AZURE_TOKEN_CREDENTIALS=prod ou AZURE_TOKEN_CREDENTIALS=<specific_credential>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// Ou utiliser une information d'identification spécifique directement en production :
// Voir https://learn.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest#credential-classes
// const credential = new ManagedIdentityCredential();

// TokenCredential
const client = DocumentTranslationClient(endpoint, credential);

// Clé API
const client2 = DocumentTranslationClient(endpoint, { key: "<api-key>" });
</api-key></specific_credential></translator>

Traduction de document unique

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",  // facultatif
  },
  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);
}

Traduction par lots de documents

import { ContainerSASPermissions, BlobServiceClient } from "@azure/storage-blob";

// Générer des URL SAS pour les conteneurs source et cible
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),
});

// Démarrer la traduction par lots
const response = await client.path("/document/batches").post({
  body: {
    inputs: [
      {
        source: { sourceUrl: sourceSas },
        targets: [
          { targetUrl: targetSas, language: "fr" },
        ],
      },
    ],
  },
});

// Obtenir l'ID d'opération à partir de l'en-tête
const operationId = new URL(response.headers["operation-location"])
  .pathname.split("/").pop();

Obtenir l'état de la traduction

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}`);
}

// Lister les documents avec 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}`);
}

Obtenir les formats pris en charge

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(", ")}`);
  }
}

Types clés

// Traduction de texte
import type {
  TranslatorCredential,
  TranslatorTokenCredential,
} from "@azure-rest/ai-translation-text";

// Traduction de documents
import type {
  DocumentTranslateParameters,
  StartTranslationDetails,
  TranslationStatus,
} from "@azure-rest/ai-translation-document";

Meilleures pratiques

  1. Détection automatique de la source - Omettre le paramètre language pour la détection automatique
  2. Requêtes par lots - Traduire plusieurs textes en un seul appel pour plus d'efficacité
  3. Utiliser des jetons SAS - Pour la traduction de documents, utiliser des URL SAS à durée limitée
  4. Gérer les erreurs - Toujours vérifier isUnexpected(response) avant d'accéder au corps de la réponse
  5. Points de terminaison régionaux - Utiliser des points de terminaison régionaux pour une latence réduite
Voir sur GitHub
---
name: azure-ai-translation-ts
description: Translate text, transliterate between scripts, detect languages, and perform batch document translation using Azure Translation SDKs for TypeScript.
license: MIT
---

# 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
AZURE_TOKEN_CREDENTIALS=prod # Required only if DefaultAzureCredential is used in production
```

## 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, ManagedIdentityCredential } from "@azure/identity";

const endpoint = "https://<translator>.cognitiveservices.azure.com";

// Local dev: DefaultAzureCredential. Production: set AZURE_TOKEN_CREDENTIALS=prod or AZURE_TOKEN_CREDENTIALS=<specific_credential>
const credential = new DefaultAzureCredential({requiredEnvVars: ["AZURE_TOKEN_CREDENTIALS"]});
// Or use a specific credential directly in production:
// See https://learn.microsoft.com/javascript/api/overview/azure/identity-readme?view=azure-node-latest#credential-classes
// const credential = new ManagedIdentityCredential();

// TokenCredential
const client = DocumentTranslationClient(endpoint, credential);

// 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

Tous les fichiers

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Installer azure-ai-translation-ts

Téléchargez et extrayez les fichiers de compétences dans votre répertoire .claude/skills/.

Télécharger le ZIP

Clonez le dépôt et copiez les fichiers de compétence dans votre projet.

git clone https://github.com/microsoft/skills/tree/main/.github/plugins/azure-sdk-typescript/skills/azure-ai-translation-ts # Copy SKILL.md to your .claude/skills/ directory

Copier Copier
Configuration rapide: Copiez le dossier de la compétence dans .claude/skills/ Claude détectera et utilisera automatiquement la compétence

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