Voice agents chew through tokens like nothing else. One call can hit ASR, then an LLM, then TTS, and if you are not watching, the bill gets ugly fast.
The tricky part
Real-time streaming means you can't just batch-analyze usage at the end of the day. Latency matters, so your instrumentation has to be light. And costs swing a lot depending on model, language, call length. It's not a static problem.
What actually helps
- Event-driven architecture: Emit usage events as they happen. No polling, no delay. You see costs in real time.
- Unified metering: One system for cost tracking and customer billing. No reconciling spreadsheets.
- Threshold alerts: Know when spend or margins drift. Fix it before finance starts asking questions.
Teams like Revrag AI and Aguken AI have baked this into their workflow. Clear margins, confident pricing, growth that doesn't blow up the P&L.
