Azure AI services Skill

This skill provides expert guidance for Azure AI services. 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: This file may be large. Use the Category Index below to locate relevant sections, then use read_file with specific line ranges (e.g., L136-L144) to read the sections needed for the user's question This skill requires network access to fetch documentation content. Use mcp_microsoftdocs:microsoft_docs_fetch to retrieve full articles.

• Fallback: Use the built-in WebFetch tool if the Microsoft Learn MCP server is not available.

Category Index

Category	Lines	Description
Troubleshooting	L36-L40	Diagnosing and fixing common Content Understanding issues, including model errors, data ingestion problems, configuration mistakes, and troubleshooting steps for failed analyses.
Best Practices	L41-L46	Best practices for Azure AI Content Understanding: designing extraction workflows, tuning models, improving document parsing accuracy, and handling complex or low‑quality documents.
Decision Making	L47-L56	Guidance on choosing pricing tiers, comparing Content Understanding vs Document Intelligence vs LLMs, selecting standard vs pro modes, Foundry vs Studio, migration steps, and cost estimation.
Limits & Quotas	L57-L64	Rate limits, quotas, and list-size limits for Foundry autoscale and Content Moderator (image/term lists), plus service quotas for Content Understanding.
Security	L65-L80	Securing Azure AI/Foundry: auth (Entra, keys, Key Vault), encryption (CMK, data-at-rest), DLP for outbound calls, VNet rules, policy-based governance, and secure analyzer access.
Configuration	L81-L99	Configuring Foundry endpoints, credentials, containers, logging, and Content Understanding analyzers (classification, layout, audiovisual), routing, outputs, and resource recovery/purge.
Integrations & Coding Patterns	L100-L110	Using Azure Content Moderator and Content Understanding via REST/.NET: text/image/video moderation, custom term lists, and building custom multimodal analyzers and workflows.
Deployment	L111-L118	How to package and run Foundry tools/containers on Azure (ACI, Docker Compose, disconnected), and deploy Foundry resources using Azure AI containers and ARM templates

Troubleshooting

Topic	URL
Resolve common issues with Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/faq

Best Practices

Topic	URL
Apply best practices for Content Understanding workloads	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/best-practices
Improve Content Understanding document extraction quality	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/analyzer-improvement

Decision Making

Topic	URL
Choose and use Foundry commitment tier pricing	https://learn.microsoft.com/en-us/azure/ai-services/commitment-tier
Choose between Content Understanding, Document Intelligence, and LLMs	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/choosing-right-ai-tool
Choose between standard and pro modes in Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/standard-pro-modes
Compare Content Understanding in Foundry vs Studio	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/foundry-vs-content-understanding-studio
Migrate Content Understanding analyzers from preview to GA	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/migration-preview-to-ga
Estimate and plan costs for Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/pricing-explainer

Limits & Quotas

Topic	URL
Use autoscale to increase Foundry rate limits	https://learn.microsoft.com/en-us/azure/ai-services/autoscale
Use Content Moderator image lists within quota limits	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-lists-quickstart-dotnet
Understand Content Moderator image and term list limits	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/samples-dotnet
Service quotas and limits for Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/service-limits

Security

Topic	URL
Configure authentication for Foundry Tools requests	https://learn.microsoft.com/en-us/azure/ai-services/authentication
Configure data loss prevention for Foundry outbound calls	https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-data-loss-prevention
Secure Foundry resources with virtual network rules	https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-virtual-networks
Understand Content Moderator data-at-rest encryption behavior	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/encrypt-data-at-rest
Configure secure access for Content Understanding analyzers	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/secure-communications
Enforce Entra-only auth by disabling local keys	https://learn.microsoft.com/en-us/azure/ai-services/disable-local-auth
Configure customer-managed encryption keys for Foundry	https://learn.microsoft.com/en-us/azure/ai-services/encryption/cognitive-services-encryption-keys-portal
Use built-in Azure Policies for Foundry governance	https://learn.microsoft.com/en-us/azure/ai-services/policy-reference
Rotate Foundry API keys without downtime	https://learn.microsoft.com/en-us/azure/ai-services/rotate-keys
Apply Azure Policy compliance controls to Foundry	https://learn.microsoft.com/en-us/azure/ai-services/security-controls-policy
Apply security features for Foundry Tools resources	https://learn.microsoft.com/en-us/azure/ai-services/security-features
Secure Foundry applications using Azure Key Vault	https://learn.microsoft.com/en-us/azure/ai-services/use-key-vault

Configuration

Topic	URL
Configure custom subdomains for Foundry endpoints	https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-custom-subdomains
Use environment variables for Foundry credentials	https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-environment-variables
Create reusable Azure AI container images with presets	https://learn.microsoft.com/en-us/azure/ai-services/containers/container-reuse-recipe
Configure Content Understanding analyzers and parameters	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/analyzer-reference
Configure classification and splitting in Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/classifier
Connect Content Understanding analyzers to Foundry model deployments	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/models-deployments
Use and customize Content Understanding prebuilt analyzers	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/concepts/prebuilt-analyzers
Configure document layout and data extraction with Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/elements
Interpret Content Understanding document Markdown output	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/document/markdown
Configure classification and routing in Content Understanding Studio	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/classification-content-understanding-studio
Copy Content Understanding custom analyzers across resources	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/how-to/copy-analyzers
Configure audiovisual analysis for audio and video inputs	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/elements
Interpret audiovisual Markdown output from Content Understanding	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/video/markdown
Configure diagnostic logging for Foundry resources	https://learn.microsoft.com/en-us/azure/ai-services/diagnostic-logging
Recover or purge deleted Foundry resources	https://learn.microsoft.com/en-us/azure/ai-services/recover-purge-resources

Integrations & Coding Patterns

Topic	URL
Reference for Azure Content Moderator REST APIs	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/api-reference
Call Content Moderator image moderation APIs	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/image-moderation-api
Use custom term lists with Content Moderator .NET SDK	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/term-lists-quickstart-dotnet
Use Content Moderator text moderation APIs	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/text-moderation-api
Integrate Content Moderator video scanning in .NET	https://learn.microsoft.com/en-us/azure/ai-services/content-moderator/video-moderation-api
Call Content Understanding REST APIs for multimodal data	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/quickstart/use-rest-api
Create custom Content Understanding analyzers via REST	https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/tutorial/create-custom-analyzer

Deployment

Topic	URL
Run Foundry Tools using Azure AI containers	https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-container-support
Deploy Foundry containers to Azure Container Instances	https://learn.microsoft.com/en-us/azure/ai-services/containers/azure-container-instance-recipe
Run Foundry containers in disconnected environments	https://learn.microsoft.com/en-us/azure/ai-services/containers/disconnected-containers
Deploy multiple Azure AI containers with Docker Compose	https://learn.microsoft.com/en-us/azure/ai-services/containers/docker-compose-recipe
Deploy Foundry resources using ARM templates	https://learn.microsoft.com/en-us/azure/ai-services/create-account-resource-manager-template