Stop Guessing Your LLM Costs: Track Every Token in Real Time

If you're building with LLMs in 2026, you already know the pain: API costs creep up silently. You fire off a few Claude or GPT-4 calls during development, forget to check the dashboard, and suddenly your bill is 3x what you budgeted. The core problem isn't that APIs are expensive — it's that you can't see what you're spending in real time. You're flying blind. Why Token Awareness Matters Every LLM call has two costs: input tokens and output tokens. The ratio between them varies wildly depending on your prompt design. A verbose system prompt with a short completion? Mostly input cost. A code generation task? Output-heavy. Most developers check their provider dashboard once a week, maybe. By then the damage is done. What you need is a live signal — something that shows you token flow as it happens, not after the fact. The Menu Bar Approach I've been using TokenBar for a few weeks now. It sits in the macOS menu bar and gives you a real-time count of tokens flowing through your LLM calls.