what is codex-runway fr?

Codex Runway is a native macOS menu bar app for people who use OpenAI Codex and want an easy way to keep an eye on how much of their usage quota is left. It sits in the menu bar and shows your remaining Codex credits, your five hour and weekly quota windows, and whether today's rate limit has reset yet, using a public third party status site as the source for that reset information. A key feature is multi account management. You can log in through the browser, import your local Codex credentials file, paste in a token or session JSON, or import an API key directly. Once you have added multiple Codex accounts, the app lets you switch between them safely, writing the selected account's credentials back to your local Codex configuration file so that the Codex command line tool and any connected editor stay in sync. Beyond quota tracking, Codex Runway estimates what your local usage would cost if billed through the regular API, broken down by today, the current billing period, the previous period, the current month, or a custom date range you choose. It builds a local index of your Codex session logs to speed up these cost calculations, and also shows a list of your recent Codex sessions, projects, and usage summaries. On privacy, the README states that account tokens are stored only in a local, permission restricted folder, and that credentials are written back to the official Codex configuration file only when you actively switch accounts. Token values are kept out of logs, issue templates, and diagnostic output. The update checker only fetches version information and does not upload any account or session data. The app requires macOS 12 or later and works best if you already have Codex installed and have used it at least once. It is distributed as a downloadable zip file from GitHub Releases rather than the Mac App Store, and since the release is not notarized by Apple, macOS may initially block it from opening until you approve it manually in system settings. It can also be built and run locally using the Swift package manager.