give kinda helpful message if too many open files

[leondz]

OS can get upset if parallel_attempts goes too high. Give a clearer error message about this.

(garak) 09:13:05 x1:~/dev/garak [main] $ python -m garak -m nim -n meta/llama-3.2-3b-instruct -p phrasing.PastTenseMini --parallel_attempts 1000 -g 5
garak LLM vulnerability scanner v0.10.2.post1 ( https://github.com/NVIDIA/garak ) at 2025-02-24T09:13:12.943850
📜 logging to /home/lderczynski/.local/share/garak/garak.log
🦜 loading generator: NIM: meta/llama-3.2-3b-instruct
📜 reporting to /home/lderczynski/.local/share/garak/garak_runs/garak.fb21a28e-16c8-4496-bd9e-b0f694333003.report.jsonl
🕵️  queue of probes: phrasing.PastTenseMini
probes.phrasing.PastTenseMini:   0%|                                                                                                                        | 0/200 [00:00<?, ?it/s]Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/home/lderczynski/dev/garak/garak/__main__.py", line 14, in <module>
    main()
  File "/home/lderczynski/dev/garak/garak/__main__.py", line 9, in main
    cli.main(sys.argv[1:])
  File "/home/lderczynski/dev/garak/garak/cli.py", line 594, in main
    command.probewise_run(
  File "/home/lderczynski/dev/garak/garak/command.py", line 237, in probewise_run
    probewise_h.run(generator, probe_names, evaluator, buffs)
  File "/home/lderczynski/dev/garak/garak/harnesses/probewise.py", line 107, in run
    h.run(model, [probe], detectors, evaluator, announce_probe=False)
  File "/home/lderczynski/dev/garak/garak/harnesses/base.py", line 123, in run
    attempt_results = probe.probe(model)
                      ^^^^^^^^^^^^^^^^^^
  File "/home/lderczynski/dev/garak/garak/probes/base.py", line 219, in probe
    attempts_completed = self._execute_all(attempts_todo)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/lderczynski/dev/garak/garak/probes/base.py", line 181, in _execute_all
    with Pool(_config.system.parallel_attempts) as attempt_pool:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/lderczynski/anaconda3/envs/garak/lib/python3.12/multiprocessing/context.py", line 119, in Pool
    return Pool(processes, initializer, initargs, maxtasksperchild,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/lderczynski/anaconda3/envs/garak/lib/python3.12/multiprocessing/pool.py", line 215, in __init__
    self._repopulate_pool()
  File "/home/lderczynski/anaconda3/envs/garak/lib/python3.12/multiprocessing/pool.py", line 306, in _repopulate_pool
    return self._repopulate_pool_static(self._ctx, self.Process,
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/lderczynski/anaconda3/envs/garak/lib/python3.12/multiprocessing/pool.py", line 329, in _repopulate_pool_static
    w.start()
  File "/home/lderczynski/anaconda3/envs/garak/lib/python3.12/multiprocessing/process.py", line 121, in start
    self._popen = self._Popen(self)
                  ^^^^^^^^^^^^^^^^^
  File "/home/lderczynski/anaconda3/envs/garak/lib/python3.12/multiprocessing/context.py", line 282, in _Popen
    return Popen(process_obj)
           ^^^^^^^^^^^^^^^^^^
  File "/home/lderczynski/anaconda3/envs/garak/lib/python3.12/multiprocessing/popen_fork.py", line 19, in __init__
    self._launch(process_obj)
  File "/home/lderczynski/anaconda3/envs/garak/lib/python3.12/multiprocessing/popen_fork.py", line 65, in _launch
    child_r, parent_w = os.pipe()
                        ^^^^^^^^^
OSError: [Errno 24] Too many open files

Verification

List the steps needed to make sure this thing works

• try garak -m test -p test.Test --parallel_attempts 1000, the new error should pop up on CLI and in log. If it doesn't, try a higher number, or reduce ulimit.

[jmartin-tech]

This looks reasonable to me for parallel_attempts, what are your thoughts on adding a similar guard in generators/base.py related to parallel_requests as well?

In theory, if both were set the error would bubble up from the generator sub-processes however since parallel_requests is independent a generator that requires a single request per call could produce a similar error when parallel_attempts was not set.

At the same time I wonder about the value of catching OSError like this, are we going down a path that will require additional handlers for various resource limitation errors across supported operating systems?

Consider the command used to test this, run on a Windows installl with only 4GB of RAM can raise:

  File "C:\Users\Win10x64\miniconda3\Lib\multiprocessing\process.py", line 121, in start
    self._popen = self._Popen(self)
                  ^^^^^^^^^^^^^^^^^
  File "C:\Users\Win10x64\miniconda3\Lib\multiprocessing\context.py", line 337, in _Popen
    return Popen(process_obj)
           ^^^^^^^^^^^^^^^^^^
  File "C:\Users\Win10x64\miniconda3\Lib\multiprocessing\popen_spawn_win32.py", line 75, in __init__
    hp, ht, pid, tid = _winapi.CreateProcess(
                       ^^^^^^^^^^^^^^^^^^^^^^
OSError: [WinError 1455] The paging file is too small for this operation to complete