What problem does it solve?
The Microsoft Foundry Skill streamlines deploying, evaluating, and managing AI agents and models within Azure infrastructure, enabling rapid onboarding and continuous improvement.
Core Features & Use Cases
- Deploy and Create Agents: Build, update, and start prompt or hosted agents across Azure environments.
- Model Management: Deploy, optimize, and monitor Azure OpenAI models with capacity planning and region selection.
- Evaluation and Optimization: Run batch evaluations, analyze results, and automatically improve prompts based on performance metrics.
- Security and Permissions: Manage RBAC roles, project connections, and access controls for scalable agent ecosystems.
- Troubleshooting: Diagnose deployment failures, container logs, and telemetry to ensure reliable operations.
- Governance: Create, tag, and version datasets, evaluate regressions, and track model improvements.
- Integration: Interleave workflows for trace harvesting, evaluation, and continuous deployment.
- Region & Quota Management: Check quotas, request increases, and optimize regional capacity.
- Parallel Multi-Agent Workflows: Coordinate multiple agents and sub-skills for complex mission-critical tasks.
Quick Start
Create a new AI Foundry project, deploy a prompt agent, run an evaluation, and analyze performance all within minutes by following guided commands in the skill. For example, initiate project/create, then agent/deploy, proceed with observe evaluations, and troubleshoot via telemetry insights.
