{"id":3033,"date":"2022-05-12T03:40:02","date_gmt":"2022-05-12T10:40:02","guid":{"rendered":"https:\/\/ranchotowing.com\/?p=3033"},"modified":"2026-07-08T09:33:54","modified_gmt":"2026-07-08T16:33:54","slug":"api-gateway","status":"publish","type":"post","link":"https:\/\/ranchotowing.com\/index.php\/api-gateway\/","title":{"rendered":"API Gateway"},"content":{"rendered":"

\"API<\/p>\n

Structured inference logging in Unity Catalog turns raw AI gateway traces into queryable operational data. This kind of multi-model routing is impossible with a traditional API gateway that has no awareness of what is inside the request payload. Prompt inspection, PII masking, content filtering, and routing decisions based on prompt complexity or provider latency are all AI-native functions. A short prompt with a large context window can cost fifty times more than a simple completion request. Traditional API gateways were built for HTTP request routing, and they handle that job well. See the Microsoft Foundry documentation for detailed requirements to use an API Management instance as an AI gateway in Foundry, including required permissions and supported service tiers.<\/p>\n<\/p>\n