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ask-my-agent-bench

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benchmark
agent
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
dependencies: struct<ask-my-agent: string>
  child 0, ask-my-agent: string
requires: bool
lockfileVersion: int64
name: string
packages: struct<: struct<dependencies: struct<ask-my-agent: string>>, node_modules/ask-my-agent: struct<versi (... 101 chars omitted)
  child 0, : struct<dependencies: struct<ask-my-agent: string>>
      child 0, dependencies: struct<ask-my-agent: string>
          child 0, ask-my-agent: string
  child 1, node_modules/ask-my-agent: struct<version: string, resolved: string, integrity: string, license: string, bin: struct<ask-my-age (... 12 chars omitted)
      child 0, version: string
      child 1, resolved: string
      child 2, integrity: string
      child 3, license: string
      child 4, bin: struct<ask-my-agent: string>
          child 0, ask-my-agent: string
to
{'name': Value('string'), 'lockfileVersion': Value('int64'), 'requires': Value('bool'), 'packages': {'': {'dependencies': {'ask-my-agent': Value('string')}}, 'node_modules/ask-my-agent': {'version': Value('string'), 'resolved': Value('string'), 'integrity': Value('string'), 'license': Value('string'), 'bin': {'ask-my-agent': Value('string')}}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              dependencies: struct<ask-my-agent: string>
                child 0, ask-my-agent: string
              requires: bool
              lockfileVersion: int64
              name: string
              packages: struct<: struct<dependencies: struct<ask-my-agent: string>>, node_modules/ask-my-agent: struct<versi (... 101 chars omitted)
                child 0, : struct<dependencies: struct<ask-my-agent: string>>
                    child 0, dependencies: struct<ask-my-agent: string>
                        child 0, ask-my-agent: string
                child 1, node_modules/ask-my-agent: struct<version: string, resolved: string, integrity: string, license: string, bin: struct<ask-my-age (... 12 chars omitted)
                    child 0, version: string
                    child 1, resolved: string
                    child 2, integrity: string
                    child 3, license: string
                    child 4, bin: struct<ask-my-agent: string>
                        child 0, ask-my-agent: string
              to
              {'name': Value('string'), 'lockfileVersion': Value('int64'), 'requires': Value('bool'), 'packages': {'': {'dependencies': {'ask-my-agent': Value('string')}}, 'node_modules/ask-my-agent': {'version': Value('string'), 'resolved': Value('string'), 'integrity': Value('string'), 'license': Value('string'), 'bin': {'ask-my-agent': Value('string')}}}}
              because column names don't match

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ask-my-agent bench

Benchmark measuring usability of models to use with generic agentic apps (such as ask-my-agent)

Usage

Repository contains index.js. To run, you need:

  1. Configure ask-my-agent with npx ask-my-agent config
  2. Run node index.js

Done!

Leaderboard

Benchmark has separate leaderboard at Obscure-Bench for native and fallback

About Native and Fallback

P.S. This is not about this benchmark much, but about ask-my-agent

Native tool calls are generally easier for model, because it's trained to do tasks like this. Fallback is entirely text-only talk, just like you would do in chat. No tools.

For this reason, fallback and native separated on leaderboard.

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