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.
- Version
- 3.2.1
- License
- MIT
- Compatibility
- Requires Azure CLI (az) for configuration and testing
Pinned to revision 4e8964e24a5a, so it is the text this page describes rather than whatever the author pushed since.
Files
- skills/azure-aigateway/SKILL.md
- skills/azure-aigateway/LICENSE
- skills/azure-aigateway/references/auth-best-practices.md
- skills/azure-aigateway/references/patterns.md
- skills/azure-aigateway/references/policies.md
- skills/azure-aigateway/references/sdk/azure-ai-contentsafety-py.md
- skills/azure-aigateway/references/sdk/azure-ai-contentsafety-ts.md
- skills/azure-aigateway/references/sdk/azure-mgmt-apimanagement-dotnet.md
- skills/azure-aigateway/references/sdk/azure-mgmt-apimanagement-py.md
- skills/azure-aigateway/references/troubleshooting.md
Every link opens the file at its source, pinned to the revision this page describes.