class_docstr: Save the conversation:
  (user input, model output, rewards and learn_counter)
  during the RL training loop.
class_docstr_tok: ["Save","the","conversation",":","(","user","input",",","model","output",",","rewards","and","learn_counter",")","during","the","RL","training","loop","."]
code: def save(self):
      print("Saving conversations log")
      if os.path.exists(self.path):
          with open(self.path, "r") as f:
              conversation = json.load(f)
          self.conversation.extend(conversation)
      self.conversation = sorted(
          self.conversation, key=lambda x: float(x["learn_counter"])
      )
      with open(self.path, "w") as f:
          json.dump(self.conversation, f, indent=4)
  
file_path: nebuly/optimization/chatllama/chatllama/rlhf/utils.py
imports: import json
  import os
  from beartype import beartype
  from plotly import graph_objects
label_desc: Use image node_id 3 for calling the ConversationLog obj's underlying member method code with example usage: obj.save() without return types