Run Python code in a locked-down, throwaway container.

The container has no network access, no access to any host directory, and does not run as root. It is deleted when the run ends.

Returns a run_id immediately; the code is still running. Poll get_result with that id to collect the output.

code: the program to execute, placed at main.py in the workspace. files: optional extra input files, as relative paths and contents. limits: optional memory_mb, timeout_seconds and cpus. Defaults are {default_mem} MB and {default_timeout} seconds; the ceilings are {max_mem} MB and {max_timeout} seconds. Asking for more than a ceiling is rejected rather than silently reduced.

Collect the result of a run, or find out it is still going.

While the run is in progress this returns status "running". Once it has finished it returns the full report: status, exit code, stdout, stderr and how long it took.

A status of "timed_out" or "out_of_memory" means the code hit a limit rather than crashing, so retrying with a larger budget may help.

Cancel a run in progress, killing and deleting its container.

Safe to call on a run that has already finished; it reports the status it ended with instead of failing.