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.
How to install azure-aigateway?
microsoft/github-copilot-for-azure/azure-aigateway
$npx -y skills add microsoft/github-copilot-for-azure --skill azure-aigatewayInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/microsoft/github-copilot-for-azure" --skill "microsoft/github-copilot-for-azure/azure-aigateway"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/microsoft/github-copilot-for-azure" that are relevant to the current task. Run `npx skills add "https://github.com/microsoft/github-copilot-for-azure"` and select the relevant skills, then follow their instructions.
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