Jev in production › Moderation and content filtering
OpenResty, APISIX and edge-worker module in which Jev scores each incoming natural-language request for prompt injection or abuse and blocks it above a threshold, with caching and fail-open. A deployment context cut misses from 37% to 5% (author).
jev-edge sits in nginx / OpenResty or Apache APISIX, behind Envoy, Istio, HAProxy, Traefik, Caddy and plain nginx, in a Cloudflare Worker, a Next.js or Node middleware or Lambda@Edge, or inside LiteLLM proxy, and asks one question about incoming requests: what is this request trying to do to my service? It uses TypeSafe Jev, a System One model that returns probabilities instead of prose, to catch prompt injection and abuse at the entry point of LLM-backed applications, before the request reaches your backend.
For the project's own README, linking back here: