Traditional uptime monitors (like Pingdom or basic HTTP checks) are great for standard web servers. They tell you if your endpoint returns a 200 OK.
But when it comes to AI APIs, a 200 OK doesn't mean everything is fine.
It doesn't tell you if your token usage suddenly spiked. It doesn't tell you if the latency is terrible, or if the model is hallucinating and consuming your budget.
The Problem with Monitoring AI APIs
As developers, we are integrating LLMs (OpenAI, Anthropic, etc.) into our apps more than ever. But we are flying blind when it comes to costs and performance.
Standard monitoring tools don't track:
Token consumption: How many tokens is your app actually burning per request?
Cost tracking: Are you going to exceed your budget before the end of the month?
AI-specific latency: LLMs take time to generate responses. A slow API can ruin the UX.
Building Sira Monitoring
I got frustrated with this, so I decided to build a solution. I just finished the MVP for Sira Monitoring.
It's not just an uptime tracker. It’s an infrastructure and AI API monitoring platform designed to protect your profits and your servers.
What makes it different:
🤖 AI API Tracking: It monitors latency, token usage, and estimated costs for your AI endpoints.
⚡ Alerts where you are: Instant notifications via WhatsApp, Telegram, Slack, or Email if your server drops or your AI costs spike.
📊 Public Status Pages: To keep your clients informed during outages.
The Tech Stack (For the geeks)
Monitoring tools generate massive amounts of time-series data (logs, pings, metrics). Standard relational databases die or become incredibly slow after a few weeks of this.
That's why I built the database layer on top of TimescaleDB. It handles the high-ingress time-series data perfectly, allowing for fast queries on historical logs without breaking a sweat. The frontend is built with Angular 22 + Vite + Tailwind, hosted on AWS.
There is a 14-day free trial (no credit card required).
If you're interested in testing it out, drop a comment below or DM me, and I'll send you the link. I'd love to hear your thoughts!
Top comments (0)