You shipped AI.
Now you're flying blind.
In production, AI doesn't fail loudly. It fails expensively โ through silent loops, prompt changes, and features that look fine but quietly burn margin.
The moment every AI team hits
Usage spike detected: $2,847 in the last 24h (+312%)
Why is our AI bill 3x higher this month? We need answers before the board meeting.
Checked the logs. We made 847k API calls yesterday, mostly to gpt-4o. But the logs don't tie back to features โ I'd have to dig through code paths manually.
Was it the new summarization feature? The chat widget? A looping workflow? I genuinely don't know.
Orbit ties every call to a task. Every task to a customer.
So you always have the answer.
Here's how we solve it
Stop losing money
in the dark
Vendor dashboards show totals. Logs show requests. Neither tells you which feature is burning margin or why.
Orbit ties every LLM call to a product feature โ and soon, to entire workflows โ so you can see what is expensive, slow, or failing in production.
Catch margin collapse
before it happens
AI spend rarely grows linearly. One prompt tweak or model swap can turn a healthy feature into a loss overnight โ and as systems become more workflow- and agent-driven, cost can explode in minutes.
Orbit tracks traffic vs. spend in real time and warns you the moment your unit economics break.
Debug failures
before users notice
See error rates by feature and model. Understand which parts of your product are breaking and why โ with detailed error logs and failure reasons.
Track error trends over time. Catch regressions early. Know exactly which model and feature combination is causing issues.
Built for correctness
Orbit shows you what's actually happening in your application โ without proxies, scraping, or hidden assumptions.
SDK-based collection
Metrics are captured directly from your application runtime. No external monitoring or traffic interception.
No request interception
Orbit never sits between your app and your AI provider. Your requests go directly to OpenAI, Anthropic, etc.
Deterministic metrics
Cost, latency, and error rates are calculated from real request data โ not estimates or statistical sampling.
No API key access
Your provider API keys stay in your application. Orbit only receives usage metadata, never credentials.
Vendor dashboards show API usage.
Orbit shows how your product uses AI.
Provider dashboards show total API calls. They don't show which feature failed, why, or what it cost you.
Get started in minutes
One npm package. Wrap your AI client. See your data instantly.
Supported: OpenAI, Anthropic, Gemini|Coming soon: Mistral, Groq, DeepSeek
Install the SDK
npm install @with-orbit/sdk
Wrap your client
One line to instrument OpenAI
See your data
Real-time metrics in your dashboard
import { Orbit } from '@with-orbit/sdk';
import OpenAI from 'openai';
// Initialize Orbit
const orbit = new Orbit({
apiKey: process.env.ORBIT_API_KEY
})
// Wrap your OpenAI client
const openai = orbit.wrapOpenAI(new OpenAI(), {
feature: 'chat-assistant'
})Don't wait for your first
AI bill shock.
See what your AI is really costing you in production โ feature by feature, workflow by workflow.
Expose Hidden AI Spend