foundry-models
Discover, deploy, and manage Microsoft Foundry models; preset vs customized deployments; capacity discovery across regions; quota; PTU vs PAYG; RAI policy. Use for scenario model selection.
- License 许可
- MIT
- 最近更新
- 2026-11-02
- Stars
- ★ 7
- Forks
- 4
01 前言 Front Matter
- name
- foundry-models
- description
- Discover, deploy, and manage Microsoft Foundry models; preset vs customized deployments; capacity discovery across regions; quota; PTU vs PAYG; RAI policy. Use for scenario model selection.
02 资源文件 8
- 参考文档references/attribution.md1.9 KB
- 参考文档references/copy_deploy_guide.md11.0 KB
- 参考文档references/region_availability.md3.5 KB
- 参考文档references/troubleshooting.md1013 B
- 参考文档references/undeploy_guide.md2.1 KB
- 参考文档references/usage.md367 B
- 脚本scripts/calculate_cost.py6.5 KB
- 脚本scripts/config_gcloud_cli.sh1.3 KB
03 SKILL.md 正文
foundry-models (stub)
Minimal stub — pointer to the upstream
microsoft/skillsskill. Install on demand; do not vendor the full body (avoids context rot).
Install the full skill:
npx skills add microsoft/skills --skill foundry-models
Maps to: Scenario model selection and the AI Grounding model-comparison scripts.
Before implementing: use the foundry-mcp MCP server to browse the live model catalog and the
azure MCP server for capacity/quota in your region. Compare model families on cost/latency/quality,
write effective system instructions, then reproduce Playground behavior in code via the Inference SDK.
Upstream source: .github/plugins/microsoft-foundry/skills/foundry-models/
04 同仓库更多 Skills
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ai-agent-creator
Architecture-first Microsoft-cloud AI design for new applications, platform-managed agents, or AI capabilities in existing systems. Use when discovery, a functional/technical specification, editable draw.io views, AI token and platform-consumption estimates, cost scenarios, and an implementation plan must precede code. Produces a mandatory cost-estimate.md for every confirmed architecture. Ends with a reconciled architecture-package handoff; standalone SDK help, existing-agent operations, implementation, deployment, and troubleshooting use other workflows.
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Multi-agent orchestration in Microsoft Foundry — declarative workflow vs A2A tool call vs Connected Agents pattern; Microsoft Agent Framework (MAF) patterns including Magentic manager/planner. Use when adapting a scenario to multi-agent orchestration.
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