code: from langchain.agents import load_tools
  from langchain.agents import initialize_agent
  from langchain.agents import AgentType
  
  from langchain_app.models.vicuna_request_llm import VicunaLLM
  
  # First, let's load the language model we're going to use to control the agent.
  llm = VicunaLLM()
  
  # Next, let's load some tools to use. Note that the `llm-math` tool uses an LLM, so we need to pass that in.
  tools = load_tools(["python_repl"], llm=llm)
  
  # Finally, let's initialize an agent with the tools, the language model, and the type of agent we want to use.
  agent = initialize_agent(
      tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True
  )
  
  # Now let's test it out!
  agent.run("""Write a Python script that prints 'Hello, world!""")
  
apis: langchain.agents.load_tools langchain_app.models.vicuna_request_llm.VicunaLLM langchain.agents.initialize_agent
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