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Azure AI Document Intelligence Skill

Azure AI Document Intelligence Skill

This skill provides expert guidance for Azure AI Document Intelligence. 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.
本Skill为Azure AI Document Intelligence提供专业指导，涵盖故障排查、最佳实践、决策制定、架构与设计模式、限制与配额、安全、配置、集成与编码模式以及部署。它结合了本地速查内容与远程文档获取功能。

How to Use This Skill

如何使用本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.
Agent注意事项：使用下方的分类索引定位相关章节。对于带有行范围的分类（例如
L35-L120
），使用
read_file
读取指定行内容；对于带有文件链接的分类（例如
[security.md](security.md)
），使用
read_file
读取链接的参考文件
Agent注意事项：如果
metadata.generated_at
的时间超过3个月，请建议用户从仓库拉取最新版本。如果
mcp_microsoftdocs
工具不可用，请建议用户安装它：安装指南
本Skill需要网络访问权限来获取文档内容：
  • 推荐方式：使用
    mcp_microsoftdocs:microsoft_docs_fetch
    ，并携带查询字符串
    from=learn-agent-skill
    ，返回Markdown格式内容。
  • 备选方式：使用
    fetch_webpage
    ，并携带查询字符串
    from=learn-agent-skill&accept=text/markdown
    ，返回Markdown格式内容。

Category Index

分类索引

CategoryLinesDescription
TroubleshootingL37-L42Diagnosing and fixing Document Intelligence latency problems, plus interpreting service error codes, causes, and recommended resolutions.
Best PracticesL43-L53Improving custom model accuracy and confidence, labeling and table-tagging best practices, training/classification workflows, and managing the full Document Intelligence model lifecycle
Decision MakingL54-L60Choosing the right Document Intelligence model, understanding version changes, and migrating or updating apps to API v3.1 based on changelog and migration guidance
Architecture & Design PatternsL61-L65Guidance on designing disaster recovery, redundancy, and failover strategies for Azure AI Document Intelligence models and deployments.
Limits & QuotasL66-L75Quotas, rate limits, capacity add-ons, batch processing scale, and supported languages/locales for OCR, prebuilt, and custom Document Intelligence models.
SecurityL76-L83Securing Document Intelligence: creating SAS tokens, configuring data-at-rest encryption, and using managed identities and VNets to lock down access to resources.
ConfigurationL84-L89Configuring Document Intelligence containers and building, training, and composing custom models for tailored document processing workflows.
Integrations & Coding PatternsL90-L99Using SDKs/REST to call Document Intelligence, handle AnalyzeDocument/Markdown outputs, and integrate with apps, Azure Functions, and Logic Apps for end‑to‑end document workflows
DeploymentL100-L106Deploying Document Intelligence via Docker/containers, including image tags, offline/disconnected setups, and installing/running the service and sample labeling tool.
分类行范围描述
故障排查L37-L42诊断并修复Document Intelligence延迟问题，解读服务错误代码、原因及推荐解决方案。
最佳实践L43-L53提升自定义模型的准确性与置信度，标注和表格标记的最佳实践，训练/分类工作流，以及管理Document Intelligence模型的完整生命周期
决策制定L54-L60选择合适的Document Intelligence模型，了解版本变更，根据更新日志和迁移指南将应用迁移或升级至API v3.1。
架构与设计模式L61-L65为Azure AI Document Intelligence模型和部署设计灾难恢复、冗余与故障转移策略的指导。
限制与配额L66-L75OCR、预构建和自定义Document Intelligence模型的配额、速率限制、容量附加组件、批量处理规模以及支持的语言/区域设置。
安全L76-L83保障Document Intelligence安全：创建SAS令牌，配置静态数据加密，使用托管标识和VNet锁定资源访问权限。
配置L84-L89配置Document Intelligence容器，构建、训练和组合自定义模型以实现定制化文档处理工作流。
集成与编码模式L90-L99使用SDK/REST调用Document Intelligence，处理AnalyzeDocument/Markdown输出，并与应用、Azure Functions和Logic Apps集成以实现端到端文档工作流
部署L100-L106通过Docker/容器部署Document Intelligence，包括镜像标签、离线/断开连接环境设置，以及安装和运行服务与示例标注工具。

Troubleshooting

故障排查

TopicURL
Troubleshoot Azure Document Intelligence latency issueshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/troubleshoot-latency?view=doc-intel-4.0.0
Interpret and resolve Document Intelligence error codeshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/resolve-errors?view=doc-intel-4.0.0
主题URL
排查Azure Document Intelligence延迟问题https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/troubleshoot-latency?view=doc-intel-4.0.0
解读并解决Document Intelligence错误代码https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/resolve-errors?view=doc-intel-4.0.0

Best Practices

最佳实践

TopicURL
Improve Document Intelligence accuracy and confidence scoreshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/accuracy-confidence?view=doc-intel-4.0.0
Train custom document classification modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-classifier?view=doc-intel-4.0.0
Build and train custom Document Intelligence modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-model?view=doc-intel-4.0.0
Use labeling tips to optimize Document Intelligence custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-label-tips?view=doc-intel-4.0.0
Apply best practices for labeling Document Intelligence training datahttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-labels?view=doc-intel-4.0.0
Manage Azure Document Intelligence custom model lifecyclehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-lifecycle?view=doc-intel-4.0.0
Use supervised table tags for custom template modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/supervised-table-tags?view=doc-intel-2.1.0
主题URL
提升Document Intelligence的准确性与置信度分数https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/accuracy-confidence?view=doc-intel-4.0.0
训练自定义文档分类模型https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-classifier?view=doc-intel-4.0.0
构建并训练自定义Document Intelligence模型https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-model?view=doc-intel-4.0.0
使用标注技巧优化Document Intelligence自定义模型https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-label-tips?view=doc-intel-4.0.0
为Document Intelligence训练数据应用标注最佳实践https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-labels?view=doc-intel-4.0.0
管理Azure Document Intelligence自定义模型生命周期https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-lifecycle?view=doc-intel-4.0.0
为自定义模板模型使用监督式表格标签https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/supervised-table-tags?view=doc-intel-2.1.0

Decision Making

决策制定

TopicURL
Select the right Document Intelligence model for workflowshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/choose-model-feature?view=doc-intel-4.0.0
Use Document Intelligence changelog and migration guidancehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/changelog-release-history?view=doc-intel-4.0.0
Migrate Document Intelligence apps to API v3.1https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/v3-1-migration-guide?view=doc-intel-4.0.0
主题URL
为工作流选择合适的Document Intelligence模型https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/choose-model-feature?view=doc-intel-4.0.0
使用Document Intelligence更新日志与迁移指南https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/changelog-release-history?view=doc-intel-4.0.0
将Document Intelligence应用迁移至API v3.1https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/v3-1-migration-guide?view=doc-intel-4.0.0

Architecture & Design Patterns

架构与设计模式

TopicURL
Design disaster recovery for Document Intelligence modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/disaster-recovery?view=doc-intel-4.0.0
主题URL
为Document Intelligence模型设计灾难恢复方案https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/disaster-recovery?view=doc-intel-4.0.0

Limits & Quotas

限制与配额

TopicURL
Increase Document Intelligence capacity with add-onshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/add-on-capabilities?view=doc-intel-4.0.0
Review language support for Document Intelligence custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/custom?view=doc-intel-4.0.0
Check OCR language and locale support for Read/Layouthttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/ocr?view=doc-intel-4.0.0
Review language support for Document Intelligence prebuilt modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/prebuilt?view=doc-intel-4.0.0
Run batch document analysis at scalehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/batch-analysis?view=doc-intel-4.0.0
Understand Document Intelligence quotas, limits, and throttlinghttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/service-limits?view=doc-intel-4.0.0
主题URL
使用附加组件提升Document Intelligence容量https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/add-on-capabilities?view=doc-intel-4.0.0
查看Document Intelligence自定义模型的语言支持https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/custom?view=doc-intel-4.0.0
查看Read/Layout的OCR语言与区域支持https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/ocr?view=doc-intel-4.0.0
查看Document Intelligence预构建模型的语言支持https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/language-support/prebuilt?view=doc-intel-4.0.0
大规模运行批量文档分析https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/batch-analysis?view=doc-intel-4.0.0
了解Document Intelligence的配额、限制与限流规则https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/service-limits?view=doc-intel-4.0.0

Security

安全

TopicURL
Create SAS tokens for Document Intelligence storagehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/create-sas-tokens?view=doc-intel-4.0.0
Configure data-at-rest encryption for Document Intelligencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/encrypt-data-at-rest?view=doc-intel-4.0.0
Secure Document Intelligence with managed identities and VNetshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities-secured-access?view=doc-intel-4.0.0
Configure managed identities for Document Intelligencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities?view=doc-intel-4.0.0
主题URL
为Document Intelligence存储创建SAS令牌https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/create-sas-tokens?view=doc-intel-4.0.0
为Document Intelligence配置静态数据加密https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/encrypt-data-at-rest?view=doc-intel-4.0.0
使用托管标识与VNet保障Document Intelligence安全https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities-secured-access?view=doc-intel-4.0.0
为Document Intelligence配置托管标识https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/authentication/managed-identities?view=doc-intel-4.0.0

Configuration

配置

TopicURL
Configure Azure Document Intelligence containershttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/configuration?view=doc-intel-4.0.0
Create and compose Document Intelligence custom modelshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/compose-custom-models?view=doc-intel-4.0.0
主题URL
配置Azure Document Intelligence容器https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/configuration?view=doc-intel-4.0.0
创建并组合Document Intelligence自定义模型https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/compose-custom-models?view=doc-intel-4.0.0

Integrations & Coding Patterns

集成与编码模式

TopicURL
Use AnalyzeDocument API response objects effectivelyhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/analyze-document-response?view=doc-intel-4.0.0
Consume Document Intelligence Markdown layout outputhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/markdown-elements?view=doc-intel-4.0.0
Call Document Intelligence models from applicationshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/use-sdk-rest-api?view=doc-intel-4.0.0
Integrate Document Intelligence via SDKs and RESThttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/quickstarts/get-started-sdks-rest-api?view=doc-intel-4.0.0
Process documents with Azure Functions and Document Intelligencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/azure-function?view=doc-intel-4.0.0
Integrate Document Intelligence with Azure Logic Appshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/logic-apps?view=doc-intel-4.0.0
主题URL
有效使用AnalyzeDocument API响应对象https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/analyze-document-response?view=doc-intel-4.0.0
消费Document Intelligence Markdown布局输出https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/markdown-elements?view=doc-intel-4.0.0
从应用中调用Document Intelligence模型https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/use-sdk-rest-api?view=doc-intel-4.0.0
通过SDK与REST集成Document Intelligencehttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/quickstarts/get-started-sdks-rest-api?view=doc-intel-4.0.0
使用Azure Functions与Document Intelligence处理文档https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/azure-function?view=doc-intel-4.0.0
将Document Intelligence与Azure Logic Apps集成https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/tutorial/logic-apps?view=doc-intel-4.0.0

Deployment

部署

TopicURL
Run Document Intelligence containers in disconnected environmentshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/disconnected?view=doc-intel-4.0.0
Use Document Intelligence container image tags and releaseshttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/image-tags?view=doc-intel-4.0.0
Install and run Document Intelligence Docker containershttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/install-run?view=doc-intel-4.0.0
Deploy the Document Intelligence Sample Labeling toolhttps://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/deploy-label-tool?view=doc-intel-2.1.0
主题URL
在断开连接的环境中运行Document Intelligence容器https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/disconnected?view=doc-intel-4.0.0
使用Document Intelligence容器镜像标签与版本https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/image-tags?view=doc-intel-4.0.0
安装并运行Document Intelligence Docker容器https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/containers/install-run?view=doc-intel-4.0.0
部署Document Intelligence示例标注工具https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/deploy-label-tool?view=doc-intel-2.1.0