/azure-translator

name: azure-translator
description: Expert knowledge for Azure Translator development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Translator REST/SDK APIs, Custom Translator, glossaries, batch document jobs, or Docker containers, and other Azure Translator related development tasks. Not for Azure AI Language (use azure-language-service), Azure Speech in Foundry Tools (use azure-speech).
compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation.
metadata:
  generated_at: "2026-11-01"
  generator: "docs2skills/1.0.0"

Azure Translator Skill

This skill provides expert guidance for Azure Translator. Covers troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

> **IMPORTANT for Agent**: Use the **Category Index** below to locate relevant sections. For categories with line ranges (e.g., `L35-L120`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file

> **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)

This skill requires **network access** to fetch documentation content:

• **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.
• **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown.

Category Index

| Category | Lines | Description | |----------|-------|-------------| | Troubleshooting | L36-L41 | Diagnosing and fixing Azure Translator errors: container startup/runtime issues, usage/FAQ problems, known service bugs, and interpreting HTTP status/error codes for troubleshooting. | | Best Practices | L42-L51 | Best practices for preparing training data, training Custom Translator models, using glossaries, building reliable batch document workflows, and operational guidance/FAQs for Azure Translator. | | Decision Making | L52-L61 | Guidance on choosing models, regions, and infrastructure, plus planning and executing migrations/upgrades between Translator API versions and Custom Translator platforms. | | Limits & Quotas | L62-L67 | Language, locale, and feature availability for Azure Translator/Translator Pro, plus text and document size, rate, and usage limits and quotas. | | Security | L68-L79 | Securing Azure Translator: auth (keys, Entra ID, SAS, managed identities), firewall/VNet access, customer-managed keys, and secure deployments (incl. Foundry Tools). | | Configuration | L80-L101 | Configuring Azure Translator: resource setup, containers, Custom Translator projects, API parameters (translate/detect/dictionary), tagging, profanity filters, alignment, transliteration, and monitoring usage. | | Integrations & Coding Patterns | L102-L140 | Using Translator REST APIs, SDKs, and containers for text/document translation, including batch jobs, status queries, formats, custom models, glossaries, and integration patterns. | | Deployment | L141-L144 | Running Translator as a Docker container: setup, configuration, authentication, environment variables, and deployment best practices on local or on-prem infrastructure. |

Troubleshooting

| Topic | URL | |-------|-----| | Diagnose and mitigate known issues in Azure Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/reference/known-issues | | Interpret Azure Translator HTTP status and error codes | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/reference/status-response-codes |

Best Practices

| Topic | URL | |-------|-----| | Prepare and filter training data for Custom Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/concepts/data-filtering | | Prepare and upload Custom Translator training documents | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/create-manage-training-documents | | Train Custom Translator models with proper datasets | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/train-custom-model | | Create and apply glossaries in Document translation | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/how-to-guides/create-use-glossaries | | Implement reliable end-to-end batch document translation workflow | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/end-to-end-batch-workflow | | Operational guidance and FAQs for Azure Translator | https://learn.microsoft.com/en-us/azure/ai-services/translator/faq |

Decision Making

| Topic | URL | |-------|-----| | Evaluate and compare Custom vs baseline Translator models | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/test-your-model | | Plan and execute Custom Translator platform upgrade | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/platform-upgrade | | Choose and prepare infrastructure for Translator document workflows | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/latest/prerequisites | | Choose Azure Translator regions and endpoints | https://learn.microsoft.com/en-us/azure/ai-services/translator/region-support | | Decide and migrate from Translator v3.0 to 2026-06-06 | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation