azure-language-service

Expert knowledge for Azure AI Language development including troubleshooting, best practices, decision making, architecture & design patterns, limit…

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技能内容

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-L124 | Configuring Azure AI Language features: CLU fine-tuning, containers, custom/health NER, orchestration None intent, CQA scoring/telemetry, FHIR output, and related project/skill settings. |

| Integrations & Coding Patterns | L125-L144 | 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 | L145-L155 | 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 AI Language service containers | 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 |

| 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 |

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