Azure Assistant calls Code interpreter even though it is turned off

Hello, I am using the Azure Assistant API to stream messages, and on Azure code interpreter is turned off and in the code we only write tools=file_search, but it still calls code interpreter multiple times before it does file search.

Is there a way to 100% turn off code interpreter?

The code:

while attempt <= max_retries:
      try:
        self.logger.debug(f"Initiating Azure run for thread {thread_id} (attempt {attempt + 1}).")
        with self.client.beta.threads.runs.stream(
          thread_id=thread_id,
          assistant_id=assistant_id,
          tools=[{"type": "file_search"}],
          #tool_choice="required"
          ) as event_handler:
            for event in event_handler:
              if event.__class__.__name__ == "ThreadMessageInProgress":
                self.logger.debug(f"Azure run started streaming.")
                    
              if event.__class__.__name__ == "ThreadRunCompleted":
                duration_sec = time.time() - local_start
                self.logger.info(f"Azure run finished in {duration_sec:.2f} seconds.")
                if self.promo is not None:
                  self.promo.setGaugeValue("openai_run_duration", duration_sec)
                return response_text

              if event.__class__.__name__ == "ThreadMessageDelta":
                if hasattr(event, "data") and event.data and hasattr(event.data, "delta"):
                  content = getattr(event.data.delta, "content", None)
                  if content:
                    for part in content:
                        text_chunk = part.text.value
                        response_text += text_chunk
                        if callable(stream_handler):
                          stream_handler(text_chunk)

              if event.__class__.__name__ == "ThreadRunStepDelta":
                if hasattr(event, "data") and event.data and hasattr(event.data, "delta"):
                  step_details = getattr(event.data.delta, "step_details", None)
                  if step_details and step_details.tool_calls:
                    for call in step_details.tool_calls:
                      if call.type == "code_interpreter" and call.code_interpreter and call.code_interpreter.input:
                        self.logger.debug(f"Code interpreter tool was called")
                      if call.type == "file_search":
                        self.logger.debug(f"File search tool was called")
            return response_text