debug

To run pytest inside a Docker container, start the container-side server first, then use the file-based command relay to send and execute the test command safely within the matching repository filesystem and runtime environment.

Remote command execution inside a Docker container uses a file-based command relay to send commands to a pre-started server, utilizing a handshake, run, and cancel mechanism with optional timeout to run commands safely and predictably.

You can execute GPU diagnostics like nvidia-smi inside a Docker container by starting the server first, then relaying the command through the client handshake to inspect available hardware and verify runtime state.

Debugging a failing training run in a containerized environment involves rerunning the failing command inside the Docker container to confirm dependencies, environment variables, and logs where the code actually runs.

Yes, you must start the container-side server first before using the client to send commands, ensuring the file-based relay can successfully handshake and execute commands inside the running Docker container.

Yes, you can use an optional timeout when running commands inside a container to ensure safe and predictable execution, utilizing the client run and cancel mechanisms to halt operations if needed.