Fyers API history() Call Hanging Without Timeout

Dear Fyers Support Team,  

I am experiencing a recurring issue with the Fyers API when using the fyers.history() function.  

**Problem Description:**  
I use historical data for live trading and call the history() function immediately after the closing of a candle.  
Sometimes the call to fyers.history() hangs indefinitely and never returns, even when my internet connection is stable.  
There is no ConnectTimeoutError — the request simply stalls and no exception is raised, causing my program to freeze.  

**Additional Information:**  

• I am using fyers_apiv3

• I have already set a global timeout parameter for the requests library, but the function still hangs.  

• This makes it impossible to reliably run automated trading strategies, as the system becomes unresponsive whenever this happens.  
  
  **Request:**  
  Kindly help me resolve this issue, or let me know if there is something wrong in my implementation.  
  
  Below is a simplified version of my code for reference:  
  
  ```python
  def histData(fyers, data=fut_data_info):
      try:
          print("Downloading historical data:")
          response = fyers.history(data=data)
          if response:
              df = pd.DataFrame(response.get('candles'),
                                columns=['date', 'open', 'high', 'low', 'close', 'volume'])
              return df
      except Exception as e:
          print(str(e))
          return None
  
  # Main program
  timeout_val = 20
  for method_name in ['get', 'post', 'put', 'delete', 'head', 'options', 'request']:
      original = getattr(requests, method_name)
      patched = functools.partial(original, timeout=timeout_val)
      setattr(requests, method_name, patched)
  print(f"Patched requests methods with a global timeout of {timeout_val} seconds.")
  
  # Initialize the FyersModel instance
  fyers = fyersModel.FyersModel(client_id=app_info.get('client_id'),
                                is_async=False, token=access_token, log_path="")
  
  while True:
      data = histData(fyers)
      # My strategy
      sleep(pause_time)
  

Here, pause_time is either 10 or 300 seconds depending on whether my algorithm is currently in a trade.

I would appreciate it if you could confirm whether the  history() function internally handles timeouts correctly, or I have to do something else to handle it.