Skip to main content
Introducing Span-02
<- Blog

Launch Week Day 1: Monitors

Set up metric-based alerts for error rate, cost, latency, and token usage. Get notified in Slack, email, or webhook when something breaks.

Frank Chen · April 20, 2026 · 1 min read

This is Day 1 of Respan Launch Week.

Your LLM app works great in dev. Then you deploy, and a model update quietly doubles your error rate. A prompt change triples your token usage. Latency creeps up. You find out from a customer complaint.

Today we're launching Monitors so you find out first.

Start from a template

We've prepared presets for the most common failure modes: cost spikes, high error rates, and model errors. Pick one and deploy in under a minute, or create your own from scratch.

Monitors list

Define your alert condition

Monitor error rate spikes, cost overruns, latency regressions, and token usage. Set the threshold and time window, then add filters to scope it to a specific model, project, environment, or customer.

Alert conditions

Get notified where you already work

Alerts go to Slack, email, or webhook. A single monitor can notify multiple destinations. Test the alert before deploying.

Notifications

Slack alerts


Monitors are available now. Go to platform.respan.ai/platform/monitors to set up your first alert.

Not on Respan yet? Get started in under 5 minutes:

npx @respan/cli setup

To stay updated for the rest of Launch Week, follow us on X or join our Discord community!

You might also like

Built for AI agents.
Break less.
Ship more.