A Guide To AI API Gateways and Semantic Routers
summary
Compares concrete gateways and routers: Envoy AI Gateway with its two-tier edge + inference design for routing between cloud providers and on‑prem models, setup in about one to two weeks; LightLLM offering zero‑config self‑service keys and cost tracking but a paywall and scaling ops (DB, HA) at enterprise scale; and vLLM semantic router using intent, embeddings and domain classification to route to smaller models and cut token costs drastically; recommends stacking gateways rather than choosing one.
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chapters (14)
- 0:00Introduction
- 1:25AI API gateway problem space
- 4:04Key features and benefits
- 5:30Semantic routers use cases
- 6:32NYAI gateway architecture
- 9:03Light LLM self-service access
- 13:41VLM semantic router routing
- 17:14Optimizing costs and performance
- 19:45Kong AI gateway multimodel
- 20:27K gateway agent comms
- 21:33Choosing AI gateways
- 23:38AI gateways + semantic routers
- 24:40CNCF ecosystem insights
- 25:02Q&A
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