azure-document-intelligence

# Azure AI Document Intelligence Skill

This skill provides expert guidance for Azure AI Document Intelligence. 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`), 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](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)

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 | L36-L42 | Diagnosing latency, understanding and fixing Document Intelligence API error codes, and handling known service issues and limitations. |
| Best Practices | L43-L54 | Guidance on designing, training, labeling, composing, and maintaining custom/classification/template models to maximize Document Intelligence accuracy and confidence |
| Decision Making | L55-L61 | Choosing the right Document Intelligence model, estimating and optimizing usage/costs, and planning or executing migration to v4.0 from earlier versions. |
| Limits & Quotas | L62-L71 | Capacity limits, quotas, scaling with add-ons and batch analysis, container image tags, and supported OCR languages/locales and prebuilt model language coverage. |
| Security | L72-L79 | Securing Document Intelligence resources: creating SAS tokens, configuring data-at-rest encryption with customer-managed keys, and using managed identities and VNETs for secure access. |
| Configuration | L80-L84 | How to configure and run Azure Document Intelligence in containers, including environment settings, networking, storage, licensing, and deployment options for on-premises or hybrid scenarios. |
| Integrations & Coding Patterns | L85-L94 | Using Document Intelligence APIs/SDKs, interpreting AnalyzeDocument/Markdown outputs, and integrating with Azure Functions or Logic Apps for end-to-end document processing workflows |
| Deployment | L95-L101 | Running Document Intelligence in Docker/offline, deploying the labeling tool, and setting up resilient, disaster‑ready deployments for models and services |

### Troubleshooting
| Topic | URL |
|-------|-----|
| Troubleshoot Azure Document Intelligence latency issues | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/troubleshoot-latency?view=doc-intel-4.0.0 |
| Reference and resolve Document Intelligence API errors | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/resolve-errors?view=doc-intel-4.0.0 |
| Handle known issues in Azure Document Intelligence | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/reference/known-issues?view=doc-intel-4.0.0 |

### Best Practices
| Topic | URL |
|-------|-----|
| Improve Document Intelligence accuracy and confidence | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/accuracy-confidence?view=doc-intel-4.0.0 |
| Train custom document classification models | https://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 Document Intelligence custom models | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/build-a-custom-model?view=doc-intel-4.0.0 |
| Create and compose Document Intelligence custom models | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/compose-custom-models?view=doc-intel-4.0.0 |
| Apply labeling best practices in Document Intelligence Studio | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-label-tips?view=doc-intel-4.0.0 |
| Apply labeling best practices for high-accuracy custom models | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-labels?view=doc-intel-4.0.0 |
| Manage Document Intelligence custom model lifecycle | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/train/custom-lifecycle?view=doc-intel-4.0.0 |
| Train template models with supervised table tags | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/v21/supervised-table-tags?view=doc-intel-2.1.0 |

### Decision Making
| Topic | URL |
|-------|-----|
| Select the right Azure Document Intelligence model | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/choose-model-feature?view=doc-intel-4.0.0 |
| Estimate Document Intelligence usage and cost | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/how-to-guides/estimate-cost?view=doc-intel-4.0.0 |
| Decide and migrate to Document Intelligence v4.0 | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/versioning/migration-guide-overview?view=doc-intel-4.0.0 |

### Limits & Quotas
| Topic | URL |
|-------|-----|
| Increase Document Intelligence capacity with add-ons | https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/concept/add-on-capabilities?view=doc-intel-4.0.0 |
| Reference Document Intelligence container image tags | https://learn.microsoft.c