What goes wrong
Each AI coding tool reports usage at a high level, if it reports it at all. That helps for a rough check. It does not answer the questions that show up in a real week: which model took the money, whether autocomplete is the quiet majority, or how agents compare to chat.
Teams rarely stay on one tool. One person lives in an AI editor, another in VS Code, someone else in a terminal agent. Each keeps its own meter. Provider consoles show totals. None of them reliably combine into “what actually left this machine.” So “we use AI a lot” becomes the only explanation for a rising bill — and the only fix is guesswork.
Why it matters
AI spend is not one number. Autocomplete can drip all day. Agents can spike. Switching models can change the price without anyone feeling busier. A shop that only watches a monthly total — or one vendor's usage pane — keeps cutting the wrong thing.
What good looks like
In a few minutes you can say which models ran, what mix of chat, autocomplete, and agents you used, which tool produced the load, and when usage jumped — without sending prompt text to another company's logger.
How Aura Wire helps
Aura Wire sits between your tools and the AI services they call. It records what happened — which service, which model, which app, roughly how much — never the prompts or answers.
- Live charts for chat vs autocomplete vs agents, labeled by tool
- Cost views across editors and models — not one vendor dashboard
- A timeline so you can compare quiet hours and agent storms across tools
Try Aura Wire
AI chat for VS Code with a local command center behind it. Free to try. Add the Windows desktop command center for extra screens and Host controls.
Windows installer — the .exe will not run on Mac, Linux, phones, or tablets. Open the download on a Windows PC.
Digitally signed by Halo Softworks
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