运行狼人杀后<class 'pydantic._internal._model_construction.ModelMetaclass'>

[QiXingRan]

windows环境运行狼人杀后一段对话报错

Traceback (most recent call last):
  File "D:\ProgramData\envs\agent\lib\site-packages\tenacity\_asyncio.py", line 50, in __call__
    result = await fn(*args, **kwargs)
  File "E:\Project_python\llm_related\knowledge_distillation_llm\Agent\werewolf\actions\common_actions.py", line 237, in run
    rsp = await self._aask(prompt)
TypeError: openai.types.completion_usage.CompletionUsage() argument after ** must be a mapping, not CompletionUsage

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\utils\common.py", line 640, in wrapper
    return await func(self, *args, **kwargs)
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\roles\role.py", line 550, in run
    rsp = await self.react()
tenacity.RetryError: RetryError[<Future at 0x1e8ddda8b80 state=finished raised TypeError>]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\utils\common.py", line 626, in wrapper
    result = await func(self, *args, **kwargs)
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\team.py", line 134, in run
    await self.env.run()
Exception: Traceback (most recent call last):
  File "D:\ProgramData\envs\agent\lib\site-packages\tenacity\_asyncio.py", line 50, in __call__
    result = await fn(*args, **kwargs)
  File "E:\Project_python\llm_related\knowledge_distillation_llm\Agent\werewolf\actions\common_actions.py", line 237, in run
    rsp = await self._aask(prompt)
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\actions\action.py", line 93, in _aask
    return await self.llm.aask(prompt, system_msgs)
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\provider\base_llm.py", line 150, in aask
    rsp = await self.acompletion_text(message, stream=stream, timeout=self.get_timeout(timeout))
  File "D:\ProgramData\envs\agent\lib\site-packages\tenacity\_asyncio.py", line 88, in async_wrapped
    return await fn(*args, **kwargs)
  File "D:\ProgramData\envs\agent\lib\site-packages\tenacity\_asyncio.py", line 47, in __call__
    do = self.iter(retry_state=retry_state)
  File "D:\ProgramData\envs\agent\lib\site-packages\tenacity\__init__.py", line 314, in iter
    return fut.result()
  File "D:\ProgramData\envs\agent\lib\concurrent\futures\_base.py", line 439, in result
    return self.__get_result()
  File "D:\ProgramData\envs\agent\lib\concurrent\futures\_base.py", line 391, in __get_result
    raise self._exception
  File "D:\ProgramData\envs\agent\lib\site-packages\tenacity\_asyncio.py", line 50, in __call__
    result = await fn(*args, **kwargs)
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\provider\openai_api.py", line 141, in acompletion_text
    return await self._achat_completion_stream(messages, timeout=timeout)
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\provider\openai_api.py", line 94, in _achat_completion_stream
    usage = CompletionUsage(**chunk.usage)
TypeError: openai.types.completion_usage.CompletionUsage() argument after ** must be a mapping, not CompletionUsage

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\utils\common.py", line 640, in wrapper
    return await func(self, *args, **kwargs)
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\roles\role.py", line 550, in run
    rsp = await self.react()
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\roles\role.py", line 517, in react
    rsp = await self._react()
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\roles\role.py", line 463, in _react
    rsp = await self._act()
  File "E:\Project_python\llm_related\knowledge_distillation_llm\Agent\werewolf\roles\base_player.py", line 101, in _act
    await Reflect().run(
  File "D:\ProgramData\envs\agent\lib\site-packages\tenacity\_asyncio.py", line 88, in async_wrapped
    return await fn(*args, **kwargs)
  File "D:\ProgramData\envs\agent\lib\site-packages\tenacity\_asyncio.py", line 47, in __call__
    do = self.iter(retry_state=retry_state)
  File "D:\ProgramData\envs\agent\lib\site-packages\tenacity\__init__.py", line 326, in iter
    raise retry_exc from fut.exception()
tenacity.RetryError: RetryError[<Future at 0x1e8ddda8b80 state=finished raised TypeError>]


Traceback (most recent call last):
  File "E:\Project_python\llm_related\knowledge_distillation_llm\Agent\werewolf\start_game.py", line 68, in <module>
    fire.Fire(main)
  File "D:\ProgramData\envs\agent\lib\site-packages\fire\core.py", line 141, in Fire
    component_trace = _Fire(component, args, parsed_flag_args, context, name)
  File "D:\ProgramData\envs\agent\lib\site-packages\fire\core.py", line 466, in _Fire
    component, remaining_args = _CallAndUpdateTrace(
  File "D:\ProgramData\envs\agent\lib\site-packages\fire\core.py", line 681, in _CallAndUpdateTrace
    component = fn(*varargs, **kwargs)
  File "E:\Project_python\llm_related\knowledge_distillation_llm\Agent\werewolf\start_game.py", line 53, in main
    asyncio.run(
  File "D:\ProgramData\envs\agent\lib\asyncio\runners.py", line 44, in run
    return loop.run_until_complete(main)
  File "D:\ProgramData\envs\agent\lib\asyncio\base_events.py", line 647, in run_until_complete
    return future.result()
  File "E:\Project_python\llm_related\knowledge_distillation_llm\Agent\werewolf\start_game.py", line 40, in start_game
    await game.run(n_round=n_round)
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\utils\common.py", line 632, in wrapper
    self.serialize()  # Team.serialize
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\team.py", line 60, in serialize
    write_json_file(team_info_path, self.model_dump())
  File "D:\ProgramData\envs\agent\lib\site-packages\metagpt\utils\common.py", line 581, in write_json_file
    json.dump(data, fout, ensure_ascii=False, indent=indent, default=to_jsonable_python)
  File "D:\ProgramData\envs\agent\lib\json\__init__.py", line 179, in dump
    for chunk in iterable:
  File "D:\ProgramData\envs\agent\lib\json\encoder.py", line 431, in _iterencode
    yield from _iterencode_dict(o, _current_indent_level)
  File "D:\ProgramData\envs\agent\lib\json\encoder.py", line 405, in _iterencode_dict
    yield from chunks
  File "D:\ProgramData\envs\agent\lib\json\encoder.py", line 405, in _iterencode_dict
    yield from chunks
  File "D:\ProgramData\envs\agent\lib\json\encoder.py", line 405, in _iterencode_dict
    yield from chunks
  [Previous line repeated 1 more time]
  File "D:\ProgramData\envs\agent\lib\json\encoder.py", line 325, in _iterencode_list
    yield from chunks
  File "D:\ProgramData\envs\agent\lib\json\encoder.py", line 438, in _iterencode
    o = _default(o)
pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

**Screenshots or logs**
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[Terrdi]

我修复了这个bug,但是还没有merge https://github.com/Terrdi/MetaGPT/tree/fix-serialize-error 你试试这个分支呢

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