Setting up a Python project that relies on PyTorch, so that it works across different accelerators and operating systems, is a nightmare. Most PyTorch projects I work on are internal or run on a server that my colleagues and I can control. In these situations, I am fine with combining optional dependencies with indices as recommended in the UV documentation. However, I recently started working on FileChat — my own opinionated AI coding assistant (stay tuned). I plan to distribute FileChat as a P...