Fix your agent.
Know it worked.
Most fixes ship on a hope. Kayba catches failures, answers when you ask, and proves the fix actually worked — all from your real failure patterns.
Caught a new failure mode
trace · tr_8a2Every change comes with proof it worked.
An error lands in your observability stack. Kayba turns it into a custom eval, proposes a fix, and tracks how it performs after it ships. Want to dig in? Just ask — it surfaces failure modes you'd never write an eval for, and answers with the cited trace.
KaybaApp9:41 AMFix verifiedRetry timed-out tool calls instead of failing the run
When a tool call timed out, the agent stopped the whole run instead of retrying. Kayba's patch retries the call. Custom eval from this failure: passing. Existing suite: 16/16.
You fix your agent blind.
You ship fixes on a hope
You tweak a prompt, change a tool, redeploy, then wait to see if the error comes back. No proof the fix worked, just a gut feeling.
Dashboards show charts, not answers
Error rate spiked. You can see that something broke. You still can’t see why, or whether your last change is what broke it.
Evals only catch what you defined
Semantic failures, edge-case regressions, unknown unknowns. None of them show up in a suite you wrote in advance, until a customer hits them first.
From failure to verified fix in 8 minutes.
Connect Kayba once. After that, every failure becomes an eval, every fix is verified against your suite, and every change is tracked over time. Here's one real session, start to finish.
One minute to set up
Point Kayba at wherever your traces and errors already live: Sentry, PostHog, OpenTelemetry. Then it just listens.
Every failure becomes an eval
When an error lands, Kayba pulls out all the context (the trace, the error, the code) and turns the failure into a custom eval, a reproducible test grounded in your real failure patterns.
Ask why. Get the cited trace.
Dig into any failure in plain English, from Slack or your terminal. Kayba answers with the root cause and the trace to prove it, so you’re never guessing.
Kayba proposes a fix. You decide.
Every fix lands as a PR with the trace and the error attached. Merge it, change it, or write your own. Either way, the eval keeps checking whether the failure comes back.
Proof it worked
As new traces come in, the fix keeps getting checked against its eval. Watch the pass rate climb, spot regressions the moment they happen — under eight minutes from failure to verified fix.
Use the trace storage you already have.
They already store your traces and errors. Kayba reads from them, turns failures into evals, and tells you whether the fix held.