Agent skill
microsoft-foundry
Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, RAG/indexing, MCP/OpenAPI tools, eval workflows, or CI/CD deployments, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
Install this agent skill to your Project
npx add-skill https://github.com/MicrosoftDocs/Agent-Skills/tree/main/skills/microsoft-foundry
Metadata
Additional technical details for this skill
- generator
- docs2skills/1.0.0
- generated at
- 2026-04-05
SKILL.md
Microsoft Foundry Skill
This skill provides expert guidance for Microsoft Foundry. 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), 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 | L37-L41 | Known Microsoft Foundry bugs, error codes, limitations, and their workarounds, plus steps to diagnose and resolve common platform and deployment issues. |
| Best Practices | L42-L53 | Best practices for configuring tools, prompts, system messages, evaluation, fine-tuning (incl. vision), and optimizing performance/latency for Azure OpenAI/Foundry agents |
| Decision Making | L54-L82 | Guides for choosing models, SDKs, APIs, and deployment options, plus planning migrations, upgrades, costs, capacity, and deprecations across Foundry and Azure OpenAI. |
| Architecture & Design Patterns | L83-L94 | Architectural patterns for Foundry agents: standard setup, RAG/indexing, HA/DR, regional recovery, provisioned throughput, spillover traffic, and LLM routing optimization. |
| Limits & Quotas | L95-L109 | Quotas, rate limits, regions, and constraints for Foundry agents and models, including vector/file search, evals, batching, prompt caching, fine-tuning costs, and Azure OpenAI access limits. |
| Security | L110-L142 | Security, privacy, and compliance for Foundry: auth/RBAC, keys & encryption, network isolation, guardrails & safety, policy/governance, and secure use of agents, tools, and models |
| Configuration | L143-L192 | Configuring Foundry agents, models, guardrails, storage, monitoring, and Azure OpenAI integrations, including workflows, evaluators, tracing, and deployment/runtime settings. |
| Integrations & Coding Patterns | L193-L266 | Integrating Foundry agents and models with SDKs, REST, tools, memory, search, MCP/OpenAPI, Azure OpenAI, speech/audio, safety, LangChain/LangGraph, and fine-tuning workflows |
| Deployment | L267-L283 | Deploying agents and models: infra setup, Bicep/CLI/portal deployment, publishing to M365/Teams/Azure, lifecycle management, CI/CD evaluations, regions, and custom/fine-tuned models. |
Troubleshooting
| Topic | URL |
|---|---|
| Troubleshoot Microsoft Foundry known issues and workarounds | https://learn.microsoft.com/en-us/azure/foundry/reference/foundry-known-issues |
Best Practices
Decision Making
Architecture & Design Patterns
Limits & Quotas
Security
Configuration
Integrations & Coding Patterns
Deployment
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