azure-aigateway
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.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install microsoft-azure-skills-azure-aigateway
Repository
Skill path: .github/plugins/azure-skills/skills/azure-aigateway
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.
Open repositoryBest for
Primary workflow: Write Technical Docs.
Technical facets: Full Stack, Backend, Data / AI, Tech Writer, Testing, Integration.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: microsoft.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install azure-aigateway into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/microsoft/azure-skills before adding azure-aigateway to shared team environments
- Use azure-aigateway for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.