Configures Azure API Management as a robust gateway to secure, monitor, and control AI models and MCP servers.
The Azure AI Gateway skill streamlines the deployment and configuration of Azure API Management (APIM) as a specialized gateway for generative AI workloads. It provides developers with standardized patterns to implement enterprise-grade features such as semantic caching to reduce LLM costs, token-based rate limiting to prevent abuse, and automated content safety filters. By bridging the gap between raw AI model deployment and production-ready infrastructure, this skill ensures unified observability, managed identity authentication, and intelligent load balancing across multiple AI backends and MCP servers.
Key Features
01109 GitHub stars
02Semantic caching to reduce latency and LLM consumption costs
03Load balancing with automatic retry and failover logic
04Automated APIM bootstrap using the cost-effective Basicv2 SKU
05Token-based rate limiting and quota management per subscription
06Integrated content safety filtering and jailbreak detection
Use Cases
01Implementing strict cost controls through semantic caching and token limits
02Securing AI agents and MCP servers with managed identity and enterprise auth
03Scaling AI applications across multiple regional Azure OpenAI endpoints with failover
