> azure-translator
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 text/document APIs, custom models, glossaries, Docker containers, or Power Automate flows, and other Azure Translator related development tasks. Not for Azure AI Language (use azure-language-service), Azure AI Speech (use azure-speech), Azure AI Immersive Reader (use azure-
curl "https://skillshub.wtf/MicrosoftDocs/Agent-Skills/azure-translator?format=md"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), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools are not available, suggest the user install it: Installation Guide
This skill requires network access to fetch documentation content:
- Preferred: Use
mcp_microsoftdocs:microsoft_docs_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L36-L41 | Diagnosing and fixing common Azure Translator issues in Foundry Tools, plus understanding HTTP status/error codes and their causes and resolutions. |
| Best Practices | L42-L51 | Best practices for custom translation: managing containers, glossaries, dataset splits, Foundry/custom models, and document translation usage, FAQs, and operational guidance. |
| Decision Making | L52-L60 | Guidance on choosing standard vs Custom Translator, evaluating custom models with BLEU, and migrating apps between Translator API versions and platforms. |
| Limits & Quotas | L61-L72 | Limits, formats, and data size requirements for Custom Translator training/documents, character and request quotas, and language/locale support for Translator and Document Translation. |
| Security | L73-L85 | Configuring Azure Translator security: encryption, auth (keys, Entra ID, managed identities, SAS), VNets/firewalls, secure workspaces, and protecting data in document translation. |
| Configuration | L86-L96 | Configuring Azure Translator behavior: resource setup, Docker/container settings, profanity filters, content exclusion, dynamic dictionaries, word alignment, and monitoring usage metrics. |
| Integrations & Coding Patterns | L97-L136 | Using Translator REST/SDK/containers for text & document translation: endpoints, params, async jobs, status, formats, custom models, preview features, Power Automate, and dictionary/transliteration APIs. |
| Deployment | L137-L142 | Running Translator in Docker containers and deploying or copying custom translation models across regions and Foundry projects for scalable, portable translation setups. |
Troubleshooting
| Topic | URL |
|---|---|
| Resolve common Azure Translator issues in Foundry Tools | 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 |
|---|---|
| Deploy and manage user glossaries in Translator containers | https://learn.microsoft.com/en-us/azure/ai-services/translator/containers/deploy-user-managed-glossary |
| FAQ and operational guidance for Translator containers | https://learn.microsoft.com/en-us/azure/ai-services/translator/containers/faq |
| FAQ and guidance for Foundry custom translation | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/azure-ai-foundry/faq |
| Train custom translation models with proper dataset splits | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/azure-ai-foundry/how-to/train-model |
| FAQ and usage tips for Translator document translation | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/faq |
| Create and apply glossaries for Translator document translation | https://learn.microsoft.com/en-us/azure/ai-services/translator/document-translation/how-to-guides/create-use-glossaries |
Decision Making
| Topic | URL |
|---|---|
| Evaluate custom translation models using BLEU scores | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/azure-ai-foundry/how-to/test-model |
| Decide between standard and Custom Translator models | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/how-to/test-your-model |
| Plan migration from Custom Translator v1.0 platform | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/platform-upgrade |
| Migrate from Translator v3 to Foundry preview API | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/how-to/migrate-to-preview |
| Migrate applications from Translator v2 to v3 | https://learn.microsoft.com/en-us/azure/ai-services/translator/text-translation/how-to/migrate-to-v3 |
Limits & Quotas
Security
Configuration
Integrations & Coding Patterns
Deployment
| Topic | URL |
|---|---|
| Install and run Azure Translator containers with Docker | https://learn.microsoft.com/en-us/azure/ai-services/translator/containers/install-run |
| Copy custom translation models between Foundry projects | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/azure-ai-foundry/how-to/copy-model |
| Deploy custom translation models across regions | https://learn.microsoft.com/en-us/azure/ai-services/translator/custom-translator/azure-ai-foundry/how-to/deploy-model |
> related_skills --same-repo
> microsoft-foundry
Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, vector search/RAG, Sora video, realtime audio, or MCP/LangChain APIs, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic),
> microsoft-foundry-tools
Expert knowledge for Microsoft Foundry Tools (aka Azure AI services, Azure Cognitive Services) development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Content Understanding analyzers, Content Moderator APIs, Foundry containers, VNet/Key Vault security, or Entra auth, and other Microsoft Foundry Tools related development tasks. Not for Microsoft Foundry (use micr
> microsoft-foundry-local
Expert knowledge for Microsoft Foundry Local (aka Azure AI Foundry Local) development including troubleshooting, best practices, decision making, configuration, and integrations & coding patterns. Use when using Foundry Local CLI, chat/transcription APIs, tools, OpenAI/LangChain clients, or upgrading legacy SDKs, and other Microsoft Foundry Local related development tasks. Not for Microsoft Foundry (use microsoft-foundry), Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foun
> microsoft-foundry-classic
Expert knowledge for Microsoft Foundry Classic (aka Azure AI Foundry classic) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with RAG, tools, evaluators, Azure OpenAI, VNet/Private Link, or CI/CD deployments, and other Microsoft Foundry Classic related development tasks. Not for Microsoft Foundry (use microsoft-foundry