llmtuner.llms.gpt
=================

.. py:module:: llmtuner.llms.gpt


Classes
-------

.. autoapisummary::

   llmtuner.llms.gpt.GPTChatter


Module Contents
---------------

.. py:class:: GPTChatter(filename='')

   .. py:attribute:: name
      :value: 'plaingpt'



   .. py:attribute:: history
      :value: []



   .. py:method:: chat(prompt, usehisto=0, store=True, printstyle=False)

      
      Getting a response from the client, 
      * 'usehisto': adding the number of prior exchanges as chat history to the query
      * 'store': storing query and result to history
      * 'printstyle': if True returning answer as linebreaked markdown
















      ..
          !! processed by numpydoc !!


   .. py:method:: reset_history()


   .. py:method:: get_last_answer()


   .. py:method:: save_history(outfilename)


   .. py:method:: load_history(infilename)


   .. py:method:: _print_answer(answer)
      :staticmethod: