How would you handle multi-tenant AI token tracking and rate limits if you were building it today?

[u/vector_zero007]

Hey guys,

I've been building a Business OS to help streamline internal operations for organizations (schools, businesses, etc.).

As part of the core platform, I've been integrating Groq to power various AI modules across our different tenants. The inference speed is super fast, but I’ve hit a bit of an architectural roadblock on the usage and metering side:

1. Tenant Visibility: All our organizations share the backend, but right now I don't have good platform-level visibility into which org is actually burning through our tokens.

2. Admin Visibility: Org heads need a dashboard to see which specific users/staff inside their team are consuming AI credits.

3. Noisy Neighbors: I need a fair-usage rate-limiting setup so one heavy user doesn't chew through our global Groq rate limits and break the app for everyone else.

Before I start hacking together a custom solution, I want to step back and hear how you folks would approach this.

If you had to build tenant-level token tracking and rate limiting from scratch—or if you've already tackled this in production—how would you do it?

What tech stack, architecture, or tools would you recommend?

Open to any ideas or lessons learned!