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autoinference-gemma-memory-production-v1

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Modal Labs 54

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
bucket_counts: struct<activity_snapshot_p50: int64, activity_snapshot_p90: int64, activity_snapshot_p95: int64, act (... 57 chars omitted)
  child 0, activity_snapshot_p50: int64
  child 1, activity_snapshot_p90: int64
  child 2, activity_snapshot_p95: int64
  child 3, activity_snapshot_p99: int64
  child 4, activity_snapshot_tail: int64
bucket_specs: list<item: struct<body_tokens: null, cached_tokens: int64, input_tokens: null, label: string, output (... 77 chars omitted)
  child 0, item: struct<body_tokens: null, cached_tokens: int64, input_tokens: null, label: string, output_tokens: in (... 65 chars omitted)
      child 0, body_tokens: null
      child 1, cached_tokens: int64
      child 2, input_tokens: null
      child 3, label: string
      child 4, output_tokens: int64
      child 5, prism_profile: null
      child 6, uncached_tokens: int64
      child 7, weight: double
mix: string
model: string
num_requests: int64
padding_words: list<item: string>
  child 0, item: string
revision: string
rows: list<item: struct<actual_cached_content_tokens: int64, actual_input_tokens: int64, actual_uncached_c (... 131 chars omitted)
  child 0, item: struct<actual_cached_content_tokens: int64, actual_input_tokens: int64, actual_uncached_content_toke (... 119 chars omitted)
      child 0, actual_cached_content_tokens: int64
      child 1, actual_input_tokens: int64
      child 2, actual_uncached_content_tokens: int64
      child 3, bucket: string
      child 4, index: int64
      child 5, max_tokens: int64
      child 6, target_cached_tokens: int64
      child 7, target_uncached_tokens: int64
sampling: struct<ignore_eos: bool, temperature: double, top_p: double>
  child 0, ignore_eos: bool
  child 1, temperature: double
  child 2, top_p: double
schema_version: int64
seed: int64
stable_system_sha256: string
workload: string
temperature: double
max_tokens: int64
top_p: double
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
ignore_eos: bool
to
{'messages': List({'role': Value('string'), 'content': Value('string')}), 'max_tokens': Value('int64'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'ignore_eos': Value('bool')}
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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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
              bucket_counts: struct<activity_snapshot_p50: int64, activity_snapshot_p90: int64, activity_snapshot_p95: int64, act (... 57 chars omitted)
                child 0, activity_snapshot_p50: int64
                child 1, activity_snapshot_p90: int64
                child 2, activity_snapshot_p95: int64
                child 3, activity_snapshot_p99: int64
                child 4, activity_snapshot_tail: int64
              bucket_specs: list<item: struct<body_tokens: null, cached_tokens: int64, input_tokens: null, label: string, output (... 77 chars omitted)
                child 0, item: struct<body_tokens: null, cached_tokens: int64, input_tokens: null, label: string, output_tokens: in (... 65 chars omitted)
                    child 0, body_tokens: null
                    child 1, cached_tokens: int64
                    child 2, input_tokens: null
                    child 3, label: string
                    child 4, output_tokens: int64
                    child 5, prism_profile: null
                    child 6, uncached_tokens: int64
                    child 7, weight: double
              mix: string
              model: string
              num_requests: int64
              padding_words: list<item: string>
                child 0, item: string
              revision: string
              rows: list<item: struct<actual_cached_content_tokens: int64, actual_input_tokens: int64, actual_uncached_c (... 131 chars omitted)
                child 0, item: struct<actual_cached_content_tokens: int64, actual_input_tokens: int64, actual_uncached_content_toke (... 119 chars omitted)
                    child 0, actual_cached_content_tokens: int64
                    child 1, actual_input_tokens: int64
                    child 2, actual_uncached_content_tokens: int64
                    child 3, bucket: string
                    child 4, index: int64
                    child 5, max_tokens: int64
                    child 6, target_cached_tokens: int64
                    child 7, target_uncached_tokens: int64
              sampling: struct<ignore_eos: bool, temperature: double, top_p: double>
                child 0, ignore_eos: bool
                child 1, temperature: double
                child 2, top_p: double
              schema_version: int64
              seed: int64
              stable_system_sha256: string
              workload: string
              temperature: double
              max_tokens: int64
              top_p: double
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              ignore_eos: bool
              to
              {'messages': List({'role': Value('string'), 'content': Value('string')}), 'max_tokens': Value('int64'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'ignore_eos': Value('bool')}
              because column names don't match