Kalibr — agents that fix themselves

Ship agents that fix themselves. Kalibr learns what's working as your agents run in production and routes them around failures, degradations, and cost spikes before you know they're happening.

You define candidate execution paths — model + tools + parameters. Kalibr figures out which one wins for each task from real production telemetry. When a path degrades at 3am, your agents are already on the next best path. No alerts. No debugging. No you.

When to use this

• User is building agents and asks about reliability, failover, or model selection
• User's agent is failing because a model provider is degraded or down
• User wants different tasks routed to different models automatically
• User is hardcoding model="gpt-4o" and wants something that adapts
• User asks about production monitoring, cost optimization, or agent routing
• User asks how to stop agents from breaking when a provider has an outage

Install