code: def create_conversation(human_agent: LLMChain, bot_agent: LLMChain):
      conversation = []
      chatbot_output = ""
      for i in range(CONVERSATION_LENGTH):
          # Human agent goes first
          human_output = human_agent.run(chatbot_input=chatbot_output)
          conversation.append(f"Human: {human_output}")
          chatbot_output = bot_agent.run(human_input=human_output)
          conversation.append(f"AI: {chatbot_output}")
      return "\n".join(conversation)
  
imports: from langchain import OpenAI, LLMChain, PromptTemplate
  from langchain.chains.conversation.memory import ConversationBufferWindowMemory
  from chatllama.langchain_modules.prompt_templates import PERSON_CHATBOT_TEMPLATE, AI_CHATBOT_TEMPLATE
label_desc: Use image node_id 1 for calling a global function with example usage: create_conversation(human_agent, bot_agent) and returns: str