I have Facing ValidationError: 1 validation error for Message role

[Yukendiran2002]

---------------------------------------------------------------------------
ValidationError                           Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/llm_response_utils/convert_dict_to_response.py in convert_to_model_response_object(response_object, model_response_object, response_type, stream, start_time, end_time, hidden_params, _response_headers, convert_tool_call_to_json_mode)
    336                 if message is None:
--> 337                     message = Message(
    338                         content=choice["message"].get("content", None),

30 frames
ValidationError: 1 validation error for Message
role
  Input should be 'assistant', 'user', 'system', 'tool' or 'function' [type=literal_error, input_value='model', input_type=str]
    For further information visit https://errors.pydantic.dev/2.9/v/literal_error

During handling of the above exception, another exception occurred:

Exception                                 Traceback (most recent call last)
Exception: Invalid response object Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/llm_response_utils/convert_dict_to_response.py", line 337, in convert_to_model_response_object
    message = Message(
  File "/usr/local/lib/python3.10/dist-packages/litellm/types/utils.py", line 432, in __init__
    super(Message, self).__init__(
  File "/usr/local/lib/python3.10/dist-packages/pydantic/main.py", line 212, in __init__
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
pydantic_core._pydantic_core.ValidationError: 1 validation error for Message
role
  Input should be 'assistant', 'user', 'system', 'tool' or 'function' [type=literal_error, input_value='model', input_type=str]
    For further information visit https://errors.pydantic.dev/2.9/v/literal_error


received_args={'response_object': {'id': None, 'choices': [{'finish_reason': 'stop', 'index': 0, 'logprobs': None, 'message': {'content': "Okay, I understand.  I'm ready for your test.  Please proceed.\n", 'refusal': None, 'role': 'model', 'audio': None, 'function_call': None, 'tool_calls': []}}], 'created': 1731996695, 'model': 'gemini-1.5-flash', 'object': 'chat.completion', 'service_tier': None, 'system_fingerprint': None, 'usage': None}, 'model_response_object': ModelResponse(id='chatcmpl-5ae28dd1-2f77-4035-b967-d498e48c70fa', choices=[Choices(finish_reason='stop', index=0, message=Message(content=None, role='assistant', tool_calls=None, function_call=None))], created=1731996681, model=None, object='chat.completion', system_fingerprint=None, usage=Usage(completion_tokens=0, prompt_tokens=0, total_tokens=0, completion_tokens_details=None, prompt_tokens_details=None)), 'response_type': 'completion', 'stream': False, 'start_time': None, 'end_time': None, 'hidden_params': None, '_response_headers': {'content-type': 'application/json', 'vary': 'Origin, X-Origin, Referer', 'content-encoding': 'gzip', 'date': 'Tue, 19 Nov 2024 06:11:35 GMT', 'server': 'scaffolding on HTTPServer2', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'x-content-type-options': 'nosniff', 'server-timing': 'gfet4t7; dur=13701', 'transfer-encoding': 'chunked'}, 'convert_tool_call_to_json_mode': None}

During handling of the above exception, another exception occurred:

OpenAIError                               Traceback (most recent call last)
OpenAIError: Invalid response object Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/llm_response_utils/convert_dict_to_response.py", line 337, in convert_to_model_response_object
    message = Message(
  File "/usr/local/lib/python3.10/dist-packages/litellm/types/utils.py", line 432, in __init__
    super(Message, self).__init__(
  File "/usr/local/lib/python3.10/dist-packages/pydantic/main.py", line 212, in __init__
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
pydantic_core._pydantic_core.ValidationError: 1 validation error for Message
role
  Input should be 'assistant', 'user', 'system', 'tool' or 'function' [type=literal_error, input_value='model', input_type=str]
    For further information visit https://errors.pydantic.dev/2.9/v/literal_error


received_args={'response_object': {'id': None, 'choices': [{'finish_reason': 'stop', 'index': 0, 'logprobs': None, 'message': {'content': "Okay, I understand.  I'm ready for your test.  Please proceed.\n", 'refusal': None, 'role': 'model', 'audio': None, 'function_call': None, 'tool_calls': []}}], 'created': 1731996695, 'model': 'gemini-1.5-flash', 'object': 'chat.completion', 'service_tier': None, 'system_fingerprint': None, 'usage': None}, 'model_response_object': ModelResponse(id='chatcmpl-5ae28dd1-2f77-4035-b967-d498e48c70fa', choices=[Choices(finish_reason='stop', index=0, message=Message(content=None, role='assistant', tool_calls=None, function_call=None))], created=1731996681, model=None, object='chat.completion', system_fingerprint=None, usage=Usage(completion_tokens=0, prompt_tokens=0, total_tokens=0, completion_tokens_details=None, prompt_tokens_details=None)), 'response_type': 'completion', 'stream': False, 'start_time': None, 'end_time': None, 'hidden_params': None, '_response_headers': {'content-type': 'application/json', 'vary': 'Origin, X-Origin, Referer', 'content-encoding': 'gzip', 'date': 'Tue, 19 Nov 2024 06:11:35 GMT', 'server': 'scaffolding on HTTPServer2', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'x-content-type-options': 'nosniff', 'server-timing': 'gfet4t7; dur=13701', 'transfer-encoding': 'chunked'}, 'convert_tool_call_to_json_mode': None}

During handling of the above exception, another exception occurred:

APIError                                  Traceback (most recent call last)
APIError: litellm.APIError: APIError: OpenAIException - Invalid response object Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/llm_response_utils/convert_dict_to_response.py", line 337, in convert_to_model_response_object
    message = Message(
  File "/usr/local/lib/python3.10/dist-packages/litellm/types/utils.py", line 432, in __init__
    super(Message, self).__init__(
  File "/usr/local/lib/python3.10/dist-packages/pydantic/main.py", line 212, in __init__
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
pydantic_core._pydantic_core.ValidationError: 1 validation error for Message
role
  Input should be 'assistant', 'user', 'system', 'tool' or 'function' [type=literal_error, input_value='model', input_type=str]
    For further information visit https://errors.pydantic.dev/2.9/v/literal_error


received_args={'response_object': {'id': None, 'choices': [{'finish_reason': 'stop', 'index': 0, 'logprobs': None, 'message': {'content': "Okay, I understand.  I'm ready for your test.  Please proceed.\n", 'refusal': None, 'role': 'model', 'audio': None, 'function_call': None, 'tool_calls': []}}], 'created': 1731996695, 'model': 'gemini-1.5-flash', 'object': 'chat.completion', 'service_tier': None, 'system_fingerprint': None, 'usage': None}, 'model_response_object': ModelResponse(id='chatcmpl-5ae28dd1-2f77-4035-b967-d498e48c70fa', choices=[Choices(finish_reason='stop', index=0, message=Message(content=None, role='assistant', tool_calls=None, function_call=None))], created=1731996681, model=None, object='chat.completion', system_fingerprint=None, usage=Usage(completion_tokens=0, prompt_tokens=0, total_tokens=0, completion_tokens_details=None, prompt_tokens_details=None)), 'response_type': 'completion', 'stream': False, 'start_time': None, 'end_time': None, 'hidden_params': None, '_response_headers': {'content-type': 'application/json', 'vary': 'Origin, X-Origin, Referer', 'content-encoding': 'gzip', 'date': 'Tue, 19 Nov 2024 06:11:35 GMT', 'server': 'scaffolding on HTTPServer2', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'x-content-type-options': 'nosniff', 'server-timing': 'gfet4t7; dur=13701', 'transfer-encoding': 'chunked'}, 'convert_tool_call_to_json_mode': None}

During handling of the above exception, another exception occurred:

APIError                                  Traceback (most recent call last)
/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/exception_mapping_utils.py in exception_type(model, original_exception, custom_llm_provider, completion_kwargs, extra_kwargs)
    402                     else:
    403                         exception_mapping_worked = True
--> 404                         raise APIError(
    405                             status_code=original_exception.status_code,
    406                             message=f"APIError: {exception_provider} - {message}",

APIError: litellm.APIError: APIError: OpenAIException - Invalid response object Traceback (most recent call last):
  File "/usr/local/lib/python3.10/dist-packages/litellm/litellm_core_utils/llm_response_utils/convert_dict_to_response.py", line 337, in convert_to_model_response_object
    message = Message(
  File "/usr/local/lib/python3.10/dist-packages/litellm/types/utils.py", line 432, in __init__
    super(Message, self).__init__(
  File "/usr/local/lib/python3.10/dist-packages/pydantic/main.py", line 212, in __init__
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
pydantic_core._pydantic_core.ValidationError: 1 validation error for Message
role
  Input should be 'assistant', 'user', 'system', 'tool' or 'function' [type=literal_error, input_value='model', input_type=str]
    For further information visit https://errors.pydantic.dev/2.9/v/literal_error


received_args={'response_object': {'id': None, 'choices': [{'finish_reason': 'stop', 'index': 0, 'logprobs': None, 'message': {'content': "Okay, I understand.  I'm ready for your test.  Please proceed.\n", 'refusal': None, 'role': 'model', 'audio': None, 'function_call': None, 'tool_calls': []}}], 'created': 1731996703, 'model': 'gemini-1.5-flash', 'object': 'chat.completion', 'service_tier': None, 'system_fingerprint': None, 'usage': None}, 'model_response_object': ModelResponse(id='chatcmpl-729c7c47-c6b2-4500-840f-863bf29e645b', choices=[Choices(finish_reason='stop', index=0, message=Message(content=None, role='assistant', tool_calls=None, function_call=None))], created=1731996696, model=None, object='chat.completion', system_fingerprint=None, usage=Usage(completion_tokens=0, prompt_tokens=0, total_tokens=0, completion_tokens_details=None, prompt_tokens_details=None)), 'response_type': 'completion', 'stream': False, 'start_time': None, 'end_time': None, 'hidden_params': None, '_response_headers': {'content-type': 'application/json', 'vary': 'Origin, X-Origin, Referer', 'content-encoding': 'gzip', 'date': 'Tue, 19 Nov 2024 06:11:43 GMT', 'server': 'scaffolding on HTTPServer2', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'x-content-type-options': 'nosniff', 'server-timing': 'gfet4t7; dur=6978', 'transfer-encoding': 'chunked'}, 'convert_tool_call_to_json_mode': None}

[okhat]

Thanks @Yukendiran2002 ! What is the minimal example of code that causes the error?