code: from dotenv import load_dotenv
  import langchain
  from langchain.chat_models import ChatOpenAI
  from langchain.agents import initialize_agent, AgentType
  from agent.tools.ontology import ontology_tool
  from agent.tools.interview import PAInterview
  import os
  from langchain.prompts import MessagesPlaceholder
  from langchain.memory import ConversationBufferMemory
  
  agent_kwargs = {
      "extra_prompt_messages": [MessagesPlaceholder(variable_name="memory")],
  }
  memory = ConversationBufferMemory(memory_key="memory", return_messages=True)
  #langchain.debug = True
  
  load_dotenv()
  openai_api_key=os.environ['OPENAI_API_KEY']
  
  # Because we are using functions, we need to use model gpt-4-0613
  llm=ChatOpenAI(openai_api_key=openai_api_key,temperature=0, model="gpt-4-0613")
  
  tools = [ontology_tool,PAInterview()]
  
  agent = initialize_agent(tools, llm, agent=AgentType.OPENAI_FUNCTIONS, verbose=True, agent_kwargs=agent_kwargs, memory=memory)
  
apis: langchain.memory.ConversationBufferMemory langchain.prompts.MessagesPlaceholder langchain.agents.initialize_agent langchain.chat_models.ChatOpenAI
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