OpenAI
Anthropic
Google
LangChain
CrewAIOpenAI Agents SDK🦞OpenClaw
Open source SDK. Hosted optimization engine.
Your agents are hardcoded. Production isn't. Kalibr's adaptive routing lets your agents optimize their own performance as they run.
OpenAIAnthropicGoogleLangChainCrewAIOpenAI Agents SDKOpen source SDK. Hosted optimization engine.
Hardcoded agents break. Kalibr agents adapt.
Hardcoded agents kept calling the broken model. Kalibr knew it was failing and shifted to what was working.
Kalibr sees cost, latency, and outcome quality together, then routes to the cheapest option that's still returning great results.
Quality dropped during degradation. Kalibr detected it, rerouted, and recovered well above baseline. Automatically.
Tell Kalibr which model + tool combinations your agent is allowed to use. Then define what a successful outcome looks like. You set the rules.
Kalibr canaries traffic across all your options, so it always knows how every one is performing right now. Each run captures cost, latency, and tokens alongside your outcome success scores.
Most traffic goes to the best-performing option. When something fails or degrades, Kalibr already knows which alternative is working and shifts there instantly.
The optimal model + tool combination for your agent changes constantly. These architectures benefit most.
Search APIs fail. Providers rate-limit. Latency spikes. Your agent doesn't know. Kalibr does, and shifts to what's currently succeeding.
Model quality fluctuates. Providers throttle. Costs change. Kalibr scores every option and routes to the best one right now.
Your pipeline has steps scoring 0.96 and steps scoring 0.66 on the same model. Kalibr scores per step and can route each one independently.
What worked last week may not work now. Model updates change behavior. Kalibr keeps your agent aligned with what's actually working.
Start free. See what your agents are scoring. Turn on routing when you're ready.