ValueError: Extracted completion from trace is not a list

completion パスが抽出され、検証される agentlightning/adapter/messages.py の TraceToMessages.adapt から始めます。gen_ai.completion.None 属性を持つ、示されている trace を再現し、その後、completion が span に示された整数インデックスを使用するように抽出処理を更新します。trace が ValueError を発生させる代わりにリストを返せば完了です。

Traceback:

2025-12-11 13:11:33,841 [ERROR] (Process-1067516 agentlightning.trainer.trainer)   Algorithm bundle encountered an error.
Traceback (most recent call last):
  File "/mnt/bn/chenkuang/pyenv/versions/agentlightning/lib/python3.10/site-packages/agentlightning/trainer/trainer.py", line 506, in _algorithm_bundle
    await algorithm.run(  # type: ignore
  File "/mnt/bn/chenkuang/pyenv/versions/agentlightning/lib/python3.10/site-packages/agentlightning/algorithm/apo/apo.py", line 858, in run
    _, seed_score = await self.evaluate_prompt_on_batch(
  File "/mnt/bn/chenkuang/pyenv/versions/agentlightning/lib/python3.10/site-packages/agentlightning/algorithm/apo/apo.py", line 502, in evaluate_prompt_on_batch
    rollout_results = await self.get_rollout_results(
  File "/mnt/bn/chenkuang/pyenv/versions/agentlightning/lib/python3.10/site-packages/agentlightning/algorithm/apo/apo.py", line 420, in get_rollout_results
    messages = adapter.adapt(spans)
  File "/mnt/bn/chenkuang/pyenv/versions/agentlightning/lib/python3.10/site-packages/agentlightning/adapter/messages.py", line 258, in adapt
    raise ValueError(f"Extracted completion from trace is not a list: {completion}")
ValueError: Extracted completion from trace is not a list: {'None': {'finish_reason': 'stop', 'role': 'assistant', 'content': 'Hello! How can I assist you today?'}}

By printing trace spans in TraceToMessages as follows, I found the dotted path 'gen_ai.completion.None.content' is incorret. It should be 'gen_ai.completion.0.content' with integer replacing the original 'None'.

[Span(rollout_id='ro-4b74a9a4f2cd', attempt_id='at-d3575f62', sequence_id=1, trace_id='c0eaada581f3b8916f470ac97726c636', span_id='6680d6fd82a51398', parent_id='2d5b1d9369928c98', name='openai.chat.completion', status=TraceStatus(status_code='OK', description=None), attributes={'gen_ai.request.type': 'chat', 'gen_ai.system': 'OpenAI', 'gen_ai.request.model': 'gpt-4.1-mini-2025-04-14', 'gen_ai.request.streaming': False, 'gen_ai.prompt.0.role': 'user', 'gen_ai.prompt.0.content': 'hello', 'gen_ai.response.id': 'chatcmpl-Clak69fnEEigBo5uUv9BoNoWlLH7D', 'gen_ai.response.model': 'gpt-4.1-mini-2025-04-14', 'gen_ai.openai.system_fingerprint': 'fp_3dcd5944f5', 'gen_ai.usage.total_tokens': 18, 'gen_ai.usage.prompt_tokens': 8, 'gen_ai.usage.completion_tokens': 10, 'gen_ai.completion.None.finish_reason': 'stop', 'gen_ai.completion.None.role': 'assistant', 'gen_ai.completion.None.content': 'Hello! How can I assist you today?', 'gen_ai.prompt.prompt_filter_results': 'null'}, events=[], links=[], start_time=1765458689.8824494, end_time=1765458690.4280267, context=SpanContext(trace_id='c0eaada581f3b8916f470ac97726c636', span_id='6680d6fd82a51398', is_remote=False, trace_state={}), parent=SpanContext(trace_id='c0eaada581f3b8916f470ac97726c636', span_id='2d5b1d9369928c98', is_remote=False, trace_state={}), resource=OtelResource(attributes={'service.name': 'agentops', 'agentops.project.id': 'temporary', 'imported_libraries': ['logging', 'agentlightning', 'json', 'pandas']}, schema_url='')), Span(rollout_id='ro-4b74a9a4f2cd', attempt_id='at-d3575f62', sequence_id=2, trace_id='c0eaada581f3b8916f470ac97726c636', span_id='de71e0648d56c761', parent_id='2d5b1d9369928c98', name='openai.chat.completion', status=TraceStatus(status_code='OK', description=None), attributes={'gen_ai.request.type': 'chat', 'gen_ai.system': 'OpenAI', 'gen_ai.request.model': 'gpt-4.1-mini-2025-04-14', 'gen_ai.request.max_tokens': 500, 'gen_ai.request.streaming': False, 'gen_ai.prompt.0.role': 'user', 'gen_ai.prompt.0.content': 'hello', 'gen_ai.prompt.1.role': 'assistant', 'gen_ai.prompt.1.content': 'Hello! How can I assist you today?', 'gen_ai.prompt.2.role': 'system', 'gen_ai.prompt.2.content': 'Your task is to ...', 'gen_ai.prompt.3.role': 'user', 'gen_ai.prompt.3.content': '{\n "event": "11/25 18時1分熊本県で最大震度5強を観測する地震発生",\n "docs": []\n}', 'gen_ai.response.id': 'chatcmpl-Clak6SmYXdoAHM1OxpXPdk6tXekNe', 'gen_ai.response.model': 'gpt-4.1-mini-2025-04-14', 'gen_ai.openai.system_fingerprint': 'fp_3dcd5944f5', 'gen_ai.usage.total_tokens': 1100, 'gen_ai.usage.prompt_tokens': 1068, 'gen_ai.usage.completion_tokens': 32, 'gen_ai.completion.None.finish_reason': 'stop', 'gen_ai.completion.None.role': 'assistant', 'gen_ai.completion.None.content': '{"timeline":[{"date":"2023-11-25","stage":"熊本県で最大震度5強の地震発生"}]}', 'gen_ai.prompt.prompt_filter_results': 'null'}, events=[], links=[], start_time=1765458690.4364552, end_time=1765458691.8720765, context=SpanContext(trace_id='c0eaada581f3b8916f470ac97726c636', span_id='de71e0648d56c761', is_remote=False, trace_state={}), parent=SpanContext(trace_id='c0eaada581f3b8916f470ac97726c636', span_id='2d5b1d9369928c98', is_remote=False, trace_state={}), resource=OtelResource(attributes={'service.name': 'agentops', 'agentops.project.id': 'temporary', 'imported_libraries': ['logging', 'agentlightning', 'json', 'pandas']}, schema_url=''))]