A TensorRT engine build can take seconds to many minutes. Large strongly typed models, deep tactic search, and a cold timing cache on a brand-new GPU SKU can leave developers, end users, or AI agents staring at a frozen terminal with no idea whether to wait, retry, or kill the process. Most NVIDIA TensorRT integrations report nothing during a build or provide no way to abort early. In a long-running agent workflow, this turns into wasted GPU-hours and stuck sessions.

Figure 1. Live, nested progress bars for a TensorRT engine build, rendered by an IProgressMonitor subclass

TensorRT provides IProgressMonitor , an API for fixing this issue, and it has been in NvInfer.h for several releases.…