| name | azure-aigateway |
| description | Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway. |
| source_skill_id | microsoft-skills-github-plugins-azure-skills-skills-azure-aigateway-skill-md |
| category | Cloud, Azure & Microsoft SDKs |
| source_mirror | ../../../../../skills/by-category/cloud-azure-microsoft-sdks/official-vendor-reference/azure-aigateway/SKILL.md |
| benchmark_status | artifact_gated |
azure-aigateway
Use this skill when the task matches the description above or the source path clearly applies. Start with this concise entrypoint; open ../../../../../skills/by-category/cloud-azure-microsoft-sdks/official-vendor-reference/azure-aigateway/SKILL.md only when implementation details, commands, assets, or references are needed.
Workflow
- Confirm the task matches this skill's scope.
- Read the local source mirror if more detail is required.
- Follow repository-level
AGENTS.md; use one AI session only.
- Keep claims tied to files, commands, citations, or benchmark artifacts.
Verification
- Source mirror:
../../../../../skills/by-category/cloud-azure-microsoft-sdks/official-vendor-reference/azure-aigateway/SKILL.md
- Source commit:
a2c05249c4a20103dd954ca702467aa328aac031
- Static benchmark results: see
docs/benchmark-results.md
- Runtime artifacts recorded by this entrypoint:
0
- Assigned scenarios:
skill-proof-microsoft-skills-github-plugins-azure-skills-skills-azure-aigateway-skill-md, cloud-azure-and-microsoft-sdks-kubernetes-examples, cloud-azure-and-microsoft-sdks-opentelemetry-demo, cloud-azure-and-microsoft-sdks-sec-edgar-companyfacts
Do not claim this skill passed a runtime benchmark until a validated artifact exists.
