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ollama._types.ResponseError: Unsupported type: 'bool' #84

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opened 2026-02-15 16:27:55 -05:00 by yindo · 2 comments
yindo commented 2026-02-15 16:27:55 -05:00
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Originally created by @guitmonk-1290 on GitHub (May 15, 2024).

I have this code for generating a SQL query based on my SQL database:

def run(self, query: str):
  self.vector_index_dict = self.index_all_tables()
  
  table_schema_objs = self.obj_retriever.retrieve(query)
  for table in table_schema_objs:
      print(f"[matched_table]: {table.table_name}")
  
  context_str = self.get_table_context_and_rows_str(query_str=query, table_schema_objs=table_schema_objs)
  context_str += f"Write a SQL query for this user query and nothing else: '{query}'"
  print(f"[LLM_CONTEXT_STR]: {context_str}")
  
  
  response = ollama.chat(
      model='stablelm-zephyr',
      messages=[{'role': 'user', 'content': context_str}],
      stream=False,
      keep_alive=True
  )

However I am encountering this error:

response = ollama.chat(
               ^^^^^^^^^^^^
  File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 177, in chat
    return self._request_stream(
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 97, in _request_stream
    return self._stream(*args, **kwargs) if stream else self._request(*args, **kwargs).json()
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 73, in _request
    raise ResponseError(e.response.text, e.response.status_code) from None
ollama._types.ResponseError: Unsupported type: 'bool'

Previously there was no such error before updating ollama. I'm not sure what is the problem.

Thanks.

Originally created by @guitmonk-1290 on GitHub (May 15, 2024). I have this code for generating a SQL query based on my SQL database: ``` def run(self, query: str): self.vector_index_dict = self.index_all_tables() table_schema_objs = self.obj_retriever.retrieve(query) for table in table_schema_objs: print(f"[matched_table]: {table.table_name}") context_str = self.get_table_context_and_rows_str(query_str=query, table_schema_objs=table_schema_objs) context_str += f"Write a SQL query for this user query and nothing else: '{query}'" print(f"[LLM_CONTEXT_STR]: {context_str}") response = ollama.chat( model='stablelm-zephyr', messages=[{'role': 'user', 'content': context_str}], stream=False, keep_alive=True ) ``` However I am encountering this error: ``` response = ollama.chat( ^^^^^^^^^^^^ File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 177, in chat return self._request_stream( ^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 97, in _request_stream return self._stream(*args, **kwargs) if stream else self._request(*args, **kwargs).json() ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 73, in _request raise ResponseError(e.response.text, e.response.status_code) from None ollama._types.ResponseError: Unsupported type: 'bool' ``` Previously there was no such error before updating ollama. I'm not sure what is the problem. Thanks.
yindo closed this issue 2026-02-15 16:27:55 -05:00
yindo commented 2026-02-15 16:27:55 -05:00
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@ruaanviljoen commented on GitHub (Jun 2, 2024):

I have this code for generating a SQL query based on my SQL database:

def run(self, query: str):
  self.vector_index_dict = self.index_all_tables()
  
  table_schema_objs = self.obj_retriever.retrieve(query)
  for table in table_schema_objs:
      print(f"[matched_table]: {table.table_name}")
  
  context_str = self.get_table_context_and_rows_str(query_str=query, table_schema_objs=table_schema_objs)
  context_str += f"Write a SQL query for this user query and nothing else: '{query}'"
  print(f"[LLM_CONTEXT_STR]: {context_str}")
  
  
  response = ollama.chat(
      model='stablelm-zephyr',
      messages=[{'role': 'user', 'content': context_str}],
      stream=False,
      keep_alive=True
  )

However I am encountering this error:

response = ollama.chat(
               ^^^^^^^^^^^^
  File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 177, in chat
    return self._request_stream(
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 97, in _request_stream
    return self._stream(*args, **kwargs) if stream else self._request(*args, **kwargs).json()
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 73, in _request
    raise ResponseError(e.response.text, e.response.status_code) from None
ollama._types.ResponseError: Unsupported type: 'bool'

Previously there was no such error before updating ollama. I'm not sure what is the problem.

Thanks.

I had the same issue. The problem is that your keep_alive parameter is failing. I didn't dig into why it worked before, but if you look at the chat function definition, the types supported are not Boolean. keep_alive is used to configure the duration and behaviour, it isn't a flag (anymore?). For valid options (seems like float and str for now), see the faq.md here https://github.com/ollama/ollama/blob/d4a86102fd5f84cca50757af00296606ac191890/docs/faq.md?plain=1#L237

I updated mine and works just fine now.

@ruaanviljoen commented on GitHub (Jun 2, 2024): > I have this code for generating a SQL query based on my SQL database: > > ``` > def run(self, query: str): > self.vector_index_dict = self.index_all_tables() > > table_schema_objs = self.obj_retriever.retrieve(query) > for table in table_schema_objs: > print(f"[matched_table]: {table.table_name}") > > context_str = self.get_table_context_and_rows_str(query_str=query, table_schema_objs=table_schema_objs) > context_str += f"Write a SQL query for this user query and nothing else: '{query}'" > print(f"[LLM_CONTEXT_STR]: {context_str}") > > > response = ollama.chat( > model='stablelm-zephyr', > messages=[{'role': 'user', 'content': context_str}], > stream=False, > keep_alive=True > ) > ``` > > However I am encountering this error: > > ``` > response = ollama.chat( > ^^^^^^^^^^^^ > File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 177, in chat > return self._request_stream( > ^^^^^^^^^^^^^^^^^^^^^ > File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 97, in _request_stream > return self._stream(*args, **kwargs) if stream else self._request(*args, **kwargs).json() > ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ > File "C:\Users\aditya\source\repos\Spectra Tech\Chatbot\flask\.venv\Lib\site-packages\ollama\_client.py", line 73, in _request > raise ResponseError(e.response.text, e.response.status_code) from None > ollama._types.ResponseError: Unsupported type: 'bool' > ``` > > Previously there was no such error before updating ollama. I'm not sure what is the problem. > > Thanks. I had the same issue. The problem is that your keep_alive parameter is failing. I didn't dig into why it worked before, but if you look at the chat function definition, the types supported are not Boolean. keep_alive is used to configure the duration and behaviour, it isn't a flag (anymore?). For valid options (seems like float and str for now), see the faq.md here https://github.com/ollama/ollama/blob/d4a86102fd5f84cca50757af00296606ac191890/docs/faq.md?plain=1#L237 I updated mine and works just fine now.
yindo commented 2026-02-15 16:27:55 -05:00
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@guitmonk-1290 commented on GitHub (Jun 2, 2024):

@ruaanviljoen ahh I see. So it's like a configuration instead of a flag now. Thanks a bunch.

@guitmonk-1290 commented on GitHub (Jun 2, 2024): @ruaanviljoen ahh I see. So it's like a configuration instead of a flag now. Thanks a bunch.
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Reference: ollama/ollama-python#84
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