Kalibr plugs into your agent, fixes failures as they happen, adapts model and tool selection in real time, and keeps complex workflows running without you.
Kalibr instruments any ML model, any modality, any number of steps and heals your pipeline every time it breaks or returns bad output. Your most complex requests run seamlessly, without you babysitting them.
Drop Kalibr into any agent pipeline. It intercepts every model call, catches failures before they propagate, and retries automatically. Wrong output, wrong model, wrong format - all handled. Your agent just keeps running.
Every request passes through Kalibr. Nothing runs blind.
Bad output at step 3 doesn't corrupt steps 4 through 14. Kalibr stops it and heals.
Thompson Sampling selects the next-best path based on what's worked before.
Kalibr adapts routing in production without touching your code.
Kalibr maps how models perform for different agents, across different task types using real production outcome data, not benchmarks. Every agent run through Kalibr feeds back into this graph: what was asked, which model was used, and whether it succeeded. When your agent runs, Kalibr routes it to the model most likely to succeed for that exact task type, based on what has actually worked at scale, and switches models if one fails.
Live model routing intelligence graph · click any node to explore · scroll to zoom
Usage-based pricing for teams shipping agents in production.
Connect Kalibr once. Your agents heal themselves and keep running.