Tracking LLM Token Usage Across Providers, Teams, and Workloads
Every interaction with a large language model costs money. Tokens are how providers meter capacity, and they sit at the intersection of pricing, latency, and efficiency. Most teams understand this in isolation. What becomes significantly harder is tracking token usage across a growing landscape of workloads, teams, and providers.
When
