Respan makes it dead simple to build production-ready LLM applications. With 2 lines of code, developers get a complete DevOps platform that speeds up monitoring & evaluate AI apps.
This is the 4th launch from Respan. View more
Respan Gateway
Launching today
Respan AI Gateway connects your app to 1,000+ AI models through one endpoint.
But routing is the easy part. Respan keeps production AI reliable and under control with fallbacks, retries, caching, spend limits, alerts, and full traces for every call.
Gateway, observability, evals, prompt management, monitors, and cost controls all run on one platform, so you do not need to stitch together five tools to debug production.





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The underrated part here is having traces, evals, fallbacks, and cost controls in one place. Production AI gets messy fast, so fewer moving parts is a real win.
Connecting to models is rarely the hard part anymore. Figuring out why smth failed three days later is usually where the pain starts. Interesting to see more tools focusing on that side
@fran3cc Honestly, Al reliability is still a huge challenge. Glad to see tools tackling this problem.
Earth.fm
The "2 lines of code" promise immediately caught my attention. Anything that helps teams focus on shipping AI experiences instead of rebuilding infrastructure deserves a closer look. Well done!
Respan
@1mirul Thank you! That’s exactly the goal.
Teams should be spending their time building better AI experiences, not wiring together gateway logic, traces, evals, monitors, and cost controls from scratch.
Respan
Respan
🎉🎉🎉
I don't work in AI infra but even from the outside, the "something broke and you don't know why" problem makes total sense. having one place to see what's happening instead of piecing it together sounds like it saves a lot of pain. congrats on the launch.