azure-content-understanding
Expert knowledge for Azure Content Understanding in Foundry Tools development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when building Content Understanding analyzers, R
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SKILL.md
Azure Content Understanding in Foundry Tools Skill
This skill provides expert guidance for Azure Content Understanding in Foundry Tools. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. 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), useread_filewith the specified lines. For categories with file links (e.g.,[security.md](security.md)), useread_fileon the linked reference file
IMPORTANT for Agent: If
metadata.generated_atis more than 3 months old, suggest the user pull the latest version from the repository. Ifmcp_microsoftdocstools 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_fetchwith query stringfrom=learn-agent-skill. Returns Markdown. - Fallback: Use
fetch_webpagewith query stringfrom=learn-agent-skill&accept=text/markdown. Returns Markdown.
Category Index
| Category | Lines | Description |
|---|---|---|
| Troubleshooting | L36-L40 | Using diagnostics from the Content Understanding REST API to investigate failures, interpret error codes, and troubleshoot processing or configuration issues. |
| Best Practices | L41-L46 | Improving Content Understanding accuracy using layout, labels, and feedback, plus using confidence scores and grounding to validate and refine document analysis results. |
| Decision Making | L47-L55 | Guidance on choosing Azure AI/Foundry tools, model deployments, and Studio vs Foundry; migrating Content Understanding from preview to GA; and estimating/optimizing pricing. |
| Architecture & Design Patterns | L56-L62 | Guidance on when to use agentic mode, how to design RAG-based document solutions, and how to build RPA workflows using Azure Content Understanding. |
| Limits & Quotas | L63-L68 | Guidance on safe use of synchronous Content Understanding calls plus detailed quotas, rate limits, and throughput constraints for Foundry Tools. |
| Security | L69-L74 | Configuring security for Content Understanding: setting guardrails on analyzer outputs, securing analyzers and data, access control, and safe handling of sensitive content. |
| Configuration | L75-L88 | Configuring and customizing Content Understanding analyzers, classifiers, workflows, and audiovisual/Markdown outputs, including creating, copying, and managing custom analyzers and Foundry resources. |
| Integrations & Coding Patterns | L89-L94 | Patterns and code samples for calling Content Understanding via REST/SDKs, integrating with Microsoft Agent Framework/LangChain, and implementing agentic workflows. |
Troubleshooting
| Topic | URL |
|---|---|
| Use diagnostics from Content Understanding REST API | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/retrieve-diagnostics |
Best Practices
| Topic | URL |
|---|---|
| Apply best practices for Content Understanding accuracy | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/best-practices |
| Improve document analysis with confidence and grounding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/analyzer-improvement |
Decision Making
| Topic | URL |
|---|---|
| Choose Azure AI tools for document processing | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/choosing-right-ai-tool |
| Choose model deployments for Content Understanding analyzers | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/models-deployments |
| Choose between Content Understanding Studio and Foundry | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/foundry-vs-content-understanding-studio |
| Migrate Content Understanding from preview to GA | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/migration-preview-to-ga |
| Estimate and optimize Content Understanding pricing | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/pricing-explainer |
Architecture & Design Patterns
| Topic | URL |
|---|---|
| Decide when to use agentic mode for documents | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/agentic-mode |
| Design a RAG solution with Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/build-rag-solution |
| Design RPA workflows using Content Understanding | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/robotic-process-automation |
Limits & Quotas
| Topic | URL |
|---|---|
| Use synchronous Content Understanding operations safely | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/quickstart/use-synchronous-rest-api |
| Review Content Understanding quotas and limits in Foundry Tools | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/service-limits |
Security
| Topic | URL |
|---|---|
| Configure guardrails for Content Understanding results | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/guardrails |
| Secure Content Understanding analyzers and data | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/secure-communications |
Configuration
Integrations & Coding Patterns
| Topic | URL |
|---|---|
| Integrate Content Understanding with Microsoft Agent Framework | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/integrations/agent-framework |
| Use Content Understanding as a LangChain document loader | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/integrations/langchain |
| Call Content Understanding REST APIs and SDKs | https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/quickstart/use-rest-api |
Files
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