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version: "1.0.4" name: azure-language-service description: 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 intents, custom NER, CQA, health text, sentiment/PII, or orchestration workflows, and other Azure AI Language related development tasks. Not for Azure AI Search (use azure-cognitive-search), Azure Speech in Foundry Tools (use azure-speech), Azure Translator (use azure-translator), Azure AI Document Intelligence (use azure-document-intelligence). compatibility: Requires network access. Uses mcp_microsoftdocs:microsoft_docs_fetch or fetch_webpage to retrieve documentation. metadata: generated_at: "2026-08-31" generator: "docs2skills/1.0.0"

Azure AI Language Skill

This skill provides expert guidance for Azure AI Language. 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.

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

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	L37-L42	Diagnosing and fixing common issues in Azure Language custom NER and conversational question answering (CQA), including model errors, configuration problems, and troubleshooting workflows.
Best Practices	L43-L53	Best practices for designing and authoring CLU, custom NER, PII, and CQA projects, including data prep, schemas, lifecycles, chitchat personas, and document formatting.
Decision Making	L54-L63	Guides for choosing regions and app types, planning CQA solutions, and deciding or executing migrations from LUIS, QnA Maker, Text Analytics, and Language Studio to Azure Language/Fountry.
Architecture & Design Patterns	L64-L71	Designing and implementing regional failover and high-availability patterns for CLU, custom NER, custom text classification, and orchestration workflow models in Azure AI Language.
Limits & Quotas	L72-L95	Limits, quotas, languages, and model lifecycles for Azure Language features (CLU, NER, text classification, CQA, health), including data size, rate, throughput, and container constraints.
Security	L96-L107	Securing Azure Language and CQA: encryption at rest (including CMK), RBAC, managed identities, SAS tokens, network isolation/Private Link, and secure deployment/data access configuration.
Configuration	L108-L125	Configuring Azure AI Language features and runtime: CLU fine-tuning, NER formats/metadata, CQA behavior/telemetry, health/FHIR output, and container settings.
Integrations & Coding Patterns	L126-L145	How to call Azure Language/TA/health/CLU/CQA APIs and SDKs for NER, entity linking, key phrases, language detection, sentiment, PII redaction, relations, and orchestration workflows.
Deployment	L146-L156	Guides for deploying and running custom language/NER/CQA/sentiment/health models across regions, on-prem via Docker containers, and moving projects between environments.

Troubleshooting

Topic	URL
Resolve common issues with custom NER in Azure Language	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/faq
Troubleshoot common CQA issues and errors	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/troubleshooting

Best Practices

Topic	URL
Apply CLU project authoring best practices	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/best-practices
Adapt PII detection to custom domain terminology	https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/how-to/adapt-to-domain-pii
Implement CQA project best practices	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/best-practices
Follow CQA project development lifecycle	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/project-development-lifecycle
Apply authoring best practices to CQA projects	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/best-practices
Add chitchat personas to CQA projects	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/chit-chat
Apply document formatting best practices for custom Q&A	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/reference/document-format-guidelines

Decision Making

Topic	URL
Choose Azure regions for Language service features	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/regional-support
Choose CLU app vs orchestration workflow	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/concepts/app-architecture
Migrate Azure Language Studio projects to Microsoft Foundry	https://learn.microsoft.com/en-us/azure/ai-services/language-service/migration-studio-to-foundry
Plan a CQA app and select Azure resources	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/plan
Decide migration from LUIS and QnA Maker to Azure Language	https://learn.microsoft.com/en-us/azure/ai-services/language-service/reference/migrate
Migrate Text Analytics apps to Azure Language API	https://learn.microsoft.com/en-us/azure/ai-services/language-service/reference/migrate-language-service-latest

Architecture & Design Patterns

Topic	URL
Design regional failover for CLU models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/fail-over
Design regional failover for custom NER models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/fail-over
Design regional failover for custom text classification	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/fail-over
Implement regional failover for orchestration workflow models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/concepts/fail-over

Limits & Quotas

Topic	URL
Data size and rate limits for Azure Language features	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/data-limits
Understand lifecycle timelines for Azure Language models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/model-lifecycle
Use CLU containers with on-premises limits	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/how-to/use-containers
Check CLU supported languages and locales	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/language-support
Reference CLU prebuilt entity components	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/prebuilt-component-reference
Review CLU data and throughput limits	https://learn.microsoft.com/en-us/azure/ai-services/language-service/conversational-language-understanding/service-limits
Manage custom NER training jobs and expiration	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/train-model
Check language support matrix for custom text classification	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/language-support
Review data and rate limits for custom text classification	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-text-classification/service-limits
Check language support for entity linking	https://learn.microsoft.com/en-us/azure/ai-services/language-service/entity-linking/language-support
Review language support for Key Phrase Extraction	https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/language-support
Understand entity categories and types in NER	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/concepts/named-entity-categories
Check language support for Azure NER feature	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/language-support
Check language support for orchestration workflow projects	https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/language-support
Review data and throughput limits for orchestration workflow	https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/service-limits
Understand PII detection container data limits	https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/how-to/use-containers
Understand CQA project and service limits	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/limits
Review language support for CQA projects	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/language-support
Explore medical entity categories in health analytics	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/health-entity-categories
Review language support for Text Analytics for health	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/language-support

Security

Topic	URL
Understand data-at-rest encryption in Azure Language	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/encryption-data-at-rest
Configure RBAC for Azure Language resources	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/role-based-access-control
Use managed identities to secure storage blob access	https://learn.microsoft.com/en-us/azure/ai-services/language-service/native-document-support/managed-identities
Configure SAS tokens for Azure storage blobs	https://learn.microsoft.com/en-us/azure/ai-services/language-service/native-document-support/shared-access-signatures
Configure Azure resources for CQA fine-tuning	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/configure-azure-resources
Configure CMK encryption for CQA data at rest	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/encrypt-data-at-rest
Enable network isolation and Private Link for CQA	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/network-isolation
Secure Azure Language deployments and data access	https://learn.microsoft.com/en-us/azure/ai-services/language-service/secure-deployment

Configuration

Topic	URL
Configure Azure resources for CLU fine-tune models	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/configure-azure-resources
Configure Azure Language service containers settings	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/configure-containers
Use supported data formats for custom NER	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/concepts/data-formats
Use NER entity metadata and resolutions	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/concepts/entity-metadata
Map NER API versions and entity tags/types	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/concepts/ga-preview-mapping
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
Configure the None intent behavior in orchestration workflow	https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/concepts/none-intent
Interpret and configure CQA confidence scores	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/concepts/confidence-score
Enable and query CQA analytics telemetry	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/analytics
Configure default answer behavior in CQA	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/change-default-answer
Manage CQA project settings and sources	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/manage-knowledge-base
Use assertion detection in Text Analytics for health	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/assertion-detection
Configure FHIR structuring in health analytics output	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/fhir
Configure Text Analytics for health container settings	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/configure-containers

Integrations & Coding Patterns

Topic	URL
Integrate Azure Language via SDK and REST APIs	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/developer-guide
Call custom NER prediction API and SDK	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/call-api
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
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
Invoke the Key Phrase Extraction API correctly	https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/how-to/call-api
Implement language detection using SDKs and REST	https://learn.microsoft.com/en-us/azure/ai-services/language-service/language-detection/quickstart
Perform NER calls with Azure Language service	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to-call
Build a .NET app using NER client library	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/quickstart
Integrate CLU and custom Q&A via orchestration workflow	https://learn.microsoft.com/en-us/azure/ai-services/language-service/orchestration-workflow/tutorials/connect-services
Redact PII from native documents with Azure Language	https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/how-to/redact-document-pii
Automate CQA authoring with REST API	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/authoring
Use the CQA prebuilt answering API	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/prebuilt
Call sentiment analysis and opinion mining APIs correctly	https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/how-to/call-api
Use relation extraction in Text Analytics for health	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/concepts/relation-extraction
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
Quickstart integrating Text Analytics for health	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/quickstart

Deployment

Topic	URL
Deploy custom language projects to multiple regions	https://learn.microsoft.com/en-us/azure/ai-services/language-service/concepts/custom-features/multi-region-deployment
Deploy custom NER with Docker containers on-premises	https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recognition/how-to/use-containers
Deploy Key Phrase Extraction containers on-premises	https://learn.microsoft.com/en-us/azure/ai-services/language-service/key-phrase-extraction/how-to/use-containers
Run NER Docker containers on-premises	https://learn.microsoft.com/en-us/azure/ai-services/language-service/named-entity-recognition/how-to/use-containers
Create and deploy a CQA agent in Foundry	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/deploy-agent
Move CQA projects between environments	https://learn.microsoft.com/en-us/azure/ai-services/language-service/question-answering/how-to/migrate-knowledge-base
Deploy Sentiment Analysis containers on-premises	https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/how-to/use-containers
Deploy Text Analytics for health containers on-premises	https://learn.microsoft.com/en-us/azure/ai-services/language-service/text-analytics-for-health/how-to/use-containers

← v1.0.3 All versions