microsoft-foundry

Automate Microsoft Foundry resource deployment, evaluation, and governance.

Updated Oct 22, 2024
One-click install
npx skills add https://github.com/DigiBanks99/dotfiles --skill microsoft-foundry-digibanks99
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: microsoft-foundry
Source: https://github.com/DigiBanks99/dotfiles/tree/main/modules/agents/.config/.agents/skills/microsoft-foundry
Command: npx skills add https://github.com/DigiBanks99/dotfiles --skill microsoft-foundry-digibanks99

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Deploy, evaluate, and manage Microsoft Foundry agents end-to-end across projects, RBAC, quotas, and observability.

Core Features & Use Cases

  • Provision Foundry resources, deploy agents (prompt/hosted), manage models and deployments across regions.
  • Orchestrate evaluation workflows, dataset curation, and RBAC/permission management for scalable AI operations.
  • Observe and troubleshoot deployments using App Insights, traces, and logs to optimize performance.

Quick Start

Configure credentials and run the onboarding flow to provision a Foundry project, deploy an agent, and start evaluation workflows.

Frequently Asked Questions about microsoft-foundry

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Foundry deployment and evaluation for AI agents?

You can automate Foundry deployment by provisioning resources, deploying prompt or hosted agents, and orchestrating evaluation workflows. This skill coordinates sub-skills to manage the end-to-end lifecycle, including model deployments and dataset curation across multiple regions.

What is the best way to manage RBAC and quotas for multi-user Azure Foundry environments?

Managing RBAC and quotas for multi-user environments involves orchestrating permission settings and resource limits. This skill handles RBAC permission management and quota tracking to ensure scalable and governed AI operations across your Foundry projects.

How do I monitor and troubleshoot Azure Foundry deployments using App Insights?

Monitoring Foundry deployments uses App Insights, traces, and logs to observe agent performance. You can troubleshoot issues by analyzing these observability metrics to identify bottlenecks and optimize your production-ready Foundry workflow.

Can I deploy Foundry agents across multiple regions?

Yes, you can deploy Foundry agents across multiple regions. This skill supports cross-region deployments, allowing you to provision resources and manage models globally to satisfy your lifecycle orchestration requirements.

Do I need to configure credentials before starting the Foundry onboarding flow?

Yes, you must configure credentials before starting the onboarding flow. Once configured, the flow provisions a Foundry project, deploys an agent, and initiates evaluation workflows automatically for a production-ready setup.