Stop shipping “demo endpoints”.
Serve production contracts from day one.
Designed for real serving workloads
Serve models and assistants—without platform chaos.
The goal is simple: predictable behavior under load. Contracts stay stable, artifacts stay versioned, and tenant boundaries stay intact. When you ship, you know what you shipped.
Teams that deploy versions
Deploy is not “push code and pray”. The discipline is: artifacts are pinned, version labels are explicit, and changes become visible on purpose.
Teams that serve endpoints
Serving is where most platforms leak chaos. Xalorra keeps the surface boring: consistent envelopes, predictable errors, and tenant scoping by default.
Teams that audit traffic
If you can’t audit it, you can’t operate it. Traffic traces and artifact context turn “AI in prod” into something you can explain later.
Deploy without drama
Stable contracts are what make “AI in production” real.
If you care about tenant isolation, versioned artifacts, and predictable endpoints, you want a serving layer that stays boring when traffic grows.