I’ve been building AIProfitHub, a tool for tracking AI API usage and cost across AI products.
One problem I kept seeing: teams ship AI features fast, but they often don’t know which feature, customer, user, or model is creating the cost.
So I published a small JavaScript SDK to make usage tracking easier.
What it does
- Track AI usage events
- Attribute cost by user, team, feature, customer, and model
- Prepare data for budget alerts and cost analysis
- Works with OpenAI, Anthropic, and LangChain-style wrappers
Install
npm install aiprofithub-sdk
Basic example
import { createClient } from "aiprofithub-sdk";
const client = createClient({
apiKey: process.env.AIPROFITHUB_API_KEY,
});
await client.trackUsage({
provider: "openai",
model: "gpt-4o-mini",
feature: "support-chat",
userId: "user_123",
inputTokens: 1200,
outputTokens: 350,
costUsd: 0.0042,
});
Links
GitHub:
https://github.com/aiprofithub/aiprofithub-js
NPM:
https://www.npmjs.com/package/aiprofithub-sdk
I’d love feedback from developers building AI products:
How are you currently tracking LLM usage, token spend, and cost per feature?
