Ollama run error

[unsiao]

Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "C:\Users\unsia\anaconda3\Scripts\interpreter.exe\__main__.py", line 7, in <module>
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\terminal_interface\start_terminal_interface.py", line 612, in main
    start_terminal_interface(interpreter)
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\terminal_interface\start_terminal_interface.py", line 471, in start_terminal_interface
    interpreter = profile(
                  ^^^^^^^^
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\terminal_interface\profiles\profiles.py", line 64, in profile
    return apply_profile(interpreter, profile, profile_path)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\terminal_interface\profiles\profiles.py", line 148, in apply_profile
    exec(profile["start_script"], scope, scope)
  File "<string>", line 1, in <module>
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\core\core.py", line 145, in local_setup
    self = local_setup(self)
           ^^^^^^^^^^^^^^^^^
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\terminal_interface\local_setup.py", line 314, in local_setup
    interpreter.computer.ai.chat("ping")
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\core\computer\ai\ai.py", line 134, in chat
    for chunk in self.computer.interpreter.llm.run(messages):
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\core\llm\llm.py", line 86, in run
    self.load()
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\core\llm\llm.py", line 397, in load
    self.interpreter.computer.ai.chat("ping")
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\core\computer\ai\ai.py", line 134, in chat
    for chunk in self.computer.interpreter.llm.run(messages):
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\core\llm\llm.py", line 322, in run
    yield from run_tool_calling_llm(self, params)
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\core\llm\run_tool_calling_llm.py", line 178, in run_tool_calling_llm
    for chunk in llm.completions(**request_params):
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\core\llm\llm.py", line 466, in fixed_litellm_completions
    raise first_error  # If all attempts fail, raise the first error
    ^^^^^^^^^^^^^^^^^
  File "C:\Users\unsia\anaconda3\Lib\site-packages\interpreter\core\llm\llm.py", line 443, in fixed_litellm_completions
    yield from litellm.completion(**params)
  File "C:\Users\unsia\anaconda3\Lib\site-packages\litellm\llms\ollama.py", line 455, in ollama_completion_stream
    raise e
  File "C:\Users\unsia\anaconda3\Lib\site-packages\litellm\llms\ollama.py", line 433, in ollama_completion_stream
    function_call = json.loads(response_content)
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\unsia\anaconda3\Lib\json\__init__.py", line 346, in loads
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\unsia\anaconda3\Lib\json\decoder.py", line 337, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\unsia\anaconda3\Lib\json\decoder.py", line 353, in raw_decode
    obj, end = self.scan_once(s, idx)
               ^^^^^^^^^^^^^^^^^^^^^^
json.decoder.JSONDecodeError: Unterminated string starting at: line 1 column 2 (char 1)

这个错误信息表明在尝试解析JSON数据时遇到了问题。具体来说，json.decoder.JSONDecodeError: Unterminated string starting at: line 1 column 2 (char 1) 表示JSON字符串没有正确终止。

根据堆栈跟踪，错误发生在处理LLM（Large Language Model）响应的地方，特别是当尝试将响应内容解析为JSON对象时。这可能是由于以下几个原因之一：

1. 服务器返回的数据格式不正确：LLM服务可能返回了非JSON格式的数据，导致无法解析。
2. 网络传输过程中数据丢失或损坏：在从LLM服务接收数据的过程中，可能存在数据包丢失或损坏的情况。
3. 客户端代码问题：负责接收和解析响应的代码可能存在逻辑错误。

为了进一步诊断问题，可以采取以下步骤：

• 检查LLM服务的日志，确认其是否正常工作并且返回正确的JSON格式数据。
• 在代码中添加调试信息，打印出接收到的原始响应内容，以便检查其格式是否符合预期。
• 确认网络连接稳定，排除因网络问题导致的数据传输中断或损坏的可能性。
• 审查客户端代码，确保所有相关的请求和响应处理逻辑正确无误。