1---2name: azure-language-service3description: Expert knowledge for Azure AI Language development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building CLU, custom NER, text classification, CQA, sentiment, summarization, or health workloads, and other Azure AI Language related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure AI Speech (use azure-speech), Azure Translator (use azure-translator), Azure AI Bot Service (use azure-bot-service). Use when this capability is needed.4---5# Azure Language Service Skill67This skill provides expert guidance for Azure Language Service. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.89## How to Use This Skill1011> **IMPORTANT for Agent**: This file may be large. Use the **Category Index** below to locate relevant sections, then use `read_file` with specific line ranges (e.g., `L136-L144`) to read the sections needed for the user's question12This skill requires **network access** to fetch documentation content.13Use `mcp_microsoftdocs:microsoft_docs_fetch` to retrieve full articles.14- **Fallback**: Use the built-in `WebFetch` tool if the Microsoft Learn MCP server is not available.1516## Category Index1718| Category | Lines | Description |19|----------|-------|-------------|20| Troubleshooting | L31-L35 | Diagnosing and fixing common errors, low-accuracy results, and configuration issues in custom text classification and custom question answering projects in Azure AI Language. |21| Best Practices | L37-L53 | Best practices for designing, labeling, and evaluating CLU, custom NER, text classification, and CQA projects, including multilingual handling, emojis, schemas, and autolabeling. |22| Decision Making | L55-L61 | Guidance on Azure Language lifecycle policies, choosing resources for conversational QA, and when/how to migrate from LUIS, QnA Maker, or Text Analytics to Azure Language API |23| Architecture & Design Patterns | L63-L68 | Architectural guidance for CLU and custom text classification: choosing CLU vs orchestration workflows, and designing regional backup, redundancy, and failover strategies. |24| Limits & Quotas | L70-L87 | Limits, quotas, and regional/language support for Azure AI Language features (CLU, NER, PII, CQA, containers), including data, rate, throughput, and job constraints. |25| Security | L89-L97 | Security for Azure AI Language: encryption at rest, customer-managed keys, RBAC, managed identities, SAS tokens, and network isolation/Private Link for CQA resources. |26| Configuration | L99-L124 | Configuring Azure AI Language projects and containers: CLU, NER, text classification, CQA, sentiment, summarization, and health—data formats, training, metrics, resources, and runtime options. |27| Integrations & Coding Patterns | L126-L156 | How to call Azure Language/CLU/Health/Summarization/CQA APIs and SDKs, wire them into bots, Power Automate, and Foundry, and correctly handle async, parameters, and outputs |28| Deployment | L158-L168 | How to deploy and run Azure AI Language models (custom classification, NER, QnA, key phrases, language detection) across regions, containers, AKS, and migrate projects/resources. |2930### Troubleshooting31| Topic | URL |32|-------|-----|33| Resolve common issues in custom text classification | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/faq |34| Troubleshoot common issues in custom question answering | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/troubleshooting |3536### Best Practices37| Topic | URL |38|-------|-----|39| Handle multilingual and emoji offsets in Language | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/multilingual-emoji-support |40| Apply CLU conversational design best practices | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/best-practices |41| Implement multilingual CLU projects effectively | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/multiple-languages |42| Design effective CLU project schemas | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/build-schema |43| Tag and label utterances for CLU training | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/tag-utterances |44| Interpret and stabilize CLU model evaluations | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/view-model-evaluation |45| Prepare data and design schemas for custom NER | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/design-schema |46| Label data effectively for custom NER training | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/tag-data |47| Use autolabeling to accelerate custom NER annotation | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/use-autolabeling |48| Prepare data and design schemas for text classification | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/design-schema |49| Label data effectively for custom text classification | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/tag-data |50| Implement best practices for CQA project quality | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/best-practices |51| Apply project authoring best practices in CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/best-practices |52| Apply document format guidelines for CQA imports | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/reference/document-format-guidelines |5354### Decision Making55| Topic | URL |56|-------|-----|57| Understand Azure Language model lifecycle policies | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/model-lifecycle |58| Choose and manage Azure resources for CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/azure-resources |59| Decide when to migrate from LUIS or QnA Maker | https://learn.microsoft.com/en-us/azure/ai-services/language-service/reference/migrate |60| Migrate Text Analytics apps to Azure Language API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/reference/migrate-language-service-latest |6162### Architecture & Design Patterns63| Topic | URL |64|-------|-----|65| Choose CLU vs orchestration workflow architecture | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/app-architecture |66| Design CLU regional backup and failover | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/fail-over |67| Design regional fail-over for custom text classification solutions | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/fail-over |6869### Limits & Quotas70| Topic | URL |71|-------|-----|72| Use Azure Language data and rate limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/data-limits |73| Check regional availability for Azure Language features | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/regional-support |74| Train and manage CLU model jobs and limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/train-model |75| Apply CLU Docker container request limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/use-containers |76| Apply CLU data, region, and throughput limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/service-limits |77| Check language and region support for custom NER | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/language-support |78| Language support matrix for custom text classification | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/language-support |79| Review custom text classification data and rate limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/service-limits |80| Check language support for entity linking API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/entity-linking/language-support |81| Check language support for key phrase extraction | https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/language-support |82| Review language detection supported languages and codes | https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/language-support |83| Review language support for Named Entity Recognition | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/language-support |84| Review orchestration workflow data and throughput limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/service-limits |85| Apply PII container per-call character and document limits | https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/how-to/use-containers |86| Service limits and boundaries for CQA projects | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/limits |8788### Security89| Topic | URL |90|-------|-----|91| Understand Language service data-at-rest encryption | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/encryption-data-at-rest |92| Apply Azure RBAC to Azure Language resources | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/role-based-access-control |93| Use managed identities for Language Blob access | https://learn.microsoft.com/en-us/azure/ai-services/language-service/native-document-support/managed-identities |94| Create SAS tokens for Language Blob access | https://learn.microsoft.com/en-us/azure/ai-services/language-service/native-document-support/shared-access-signatures |95| Configure data-at-rest encryption and CMK for CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/encrypt-data-at-rest |96| Configure network isolation and Private Link for CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/network-isolation |9798### Configuration99| Topic | URL |100|-------|-----|101| Configure Azure resources for CLU fine-tuning | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/configure-azure-resources |102| Configure Azure Language service containers | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/configure-containers |103| Format data correctly for CLU projects | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/data-formats |104| Configure and use CLU None intent | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/none-intent |105| Use CLU prebuilt entity components | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/prebuilt-component-reference |106| Create custom NER projects and configure Azure resources | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/create-project |107| Use required data formats for custom text classification | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/concepts/data-formats |108| Set up resources and create custom text classification projects | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/create-project |109| Configure and run training jobs for text classification models | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/train-model |110| View and interpret evaluation metrics for text classification models | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/view-model-evaluation |111| Map NER entity types and tags across API versions | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/concepts/ga-preview-mapping |112| Configure NER skill parameters and inference options | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to/skill-parameters |113| Understand and configure confidence scores in CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/confidence-score |114| Enable diagnostics and run analytics for CQA projects | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/analytics |115| Customize default answer behavior in CQA projects | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/change-default-answer |116| Add and configure chitchat personas in CQA | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/chit-chat |117| Configure Azure resources and permissions for CQA fine-tuning | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/configure-azure-resources |118| Configure smart URL refresh for CQA projects | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/smart-url-refresh |119| Use supported markdown formats in CQA answers | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/reference/markdown-format |120| Run Sentiment Analysis Docker containers | https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/how-to/use-containers |121| Run Summarization Docker containers on-premises | https://learn.microsoft.com/en-us/azure/ai-services/language-service/summarization/how-to/use-containers |122| Configure Text Analytics for health containers | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/configure-containers |123| Run Text Analytics for health containers | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/use-containers |124125### Integrations & Coding Patterns126| Topic | URL |127|-------|-----|128| Integrate Azure Language SDK and REST APIs | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/developer-guide |129| Use Azure Language features asynchronously | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/use-asynchronously |130| Call CLU prediction APIs and SDKs | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/call-api |131| Integrate CLU with Bot Framework SDK | https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/tutorials/bot-framework |132| Start building custom NER models via Foundry or REST | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/quickstart |133| Send prediction requests to custom text classification deployments | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/call-api |134| Call the entity linking API with correct parameters | https://learn.microsoft.com/en-us/azure/ai-services/language-service/entity-linking/how-to/call-api |135| Call entity linking via SDKs and REST API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/entity-linking/quickstart |136| Call the key phrase extraction API correctly | https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/how-to/call-api |137| Use key phrase extraction via .NET client library | https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/quickstart |138| Call language detection API and interpret results | https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/how-to/call-api |139| Implement language detection using SDKs and REST | https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/quickstart |140| Call the NER API to extract named entities | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to-call |141| Use the NER client library to extract entities | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/quickstart |142| Use native document support with Language APIs | https://learn.microsoft.com/en-us/azure/ai-services/language-service/native-document-support/overview |143| Use the CQA Authoring API for automated management | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/authoring |144| Call the prebuilt CQA API for ad-hoc answering | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/prebuilt |145| Call Sentiment and Opinion Mining APIs | https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/how-to/call-api |146| Call Sentiment Analysis via SDK and REST | https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/quickstart |147| Call conversation summarization API for chats | https://learn.microsoft.com/en-us/azure/ai-services/language-service/summarization/how-to/conversation-summarization |148| Summarize native documents via API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/summarization/how-to/document-summarization |149| Use extractive text summarization API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/summarization/how-to/text-summarization |150| Use Azure Summarization via SDK and REST | https://learn.microsoft.com/en-us/azure/ai-services/language-service/summarization/quickstart |151| Enable FHIR structuring in health API output | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/fhir |152| Interpret relation extraction JSON output | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/relation-extraction |153| Call Text Analytics for health API | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/call-api |154| Quickstart Text Analytics for health via SDK/REST | https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/quickstart |155| Use Azure Language in Power Automate flows | https://learn.microsoft.com/en-us/azure/ai-services/language-service/tutorials/power-automate |156157### Deployment158| Topic | URL |159|-------|-----|160| Deploy custom language projects to multiple regions | https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/custom-features/multi-region-deployment |161| Deploy custom text classification models for prediction | https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/how-to/deploy-model |162| Run key phrase extraction in Docker containers on-premises | https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/how-to/use-containers |163| Deploy language detection with Docker containers on-premises | https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/how-to/use-containers |164| Migrate Azure Language Studio projects to Foundry | https://learn.microsoft.com/en-us/azure/ai-services/language-service/migration-studio-to-foundry |165| Deploy NER with Docker containers on-premises | https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to/use-containers |166| Move custom question answering projects between resources | https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/migrate-knowledge-base |167| Deploy Language containers to Azure Kubernetes Service | https://learn.microsoft.com/en-us/azure/ai-services/language-service/tutorials/use-kubernetes-service |168169---170> Source: [atc-net/atc-agentic-toolkit](https://github.com/atc-net/atc-agentic-toolkit) — distributed by [TomeVault](https://tomevault.io).171<!-- tomevault:4.0:skill_md:2026-06-16 -->
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