chain = initialize_chain(instructions, memory=None)
        output = chain.predict(human_input=task)
        for j in range(max_iters):
            print(f'(Step {j+1}/{max_iters})')
            print(f'Assistant: {output}')
            print(f'Human: ')
            human_input = input()
            if any(phrase in human_input.lower() for phrase in key_phrases):
                break
            output = chain.predict(human_input=human_input)
        if success_phrase in human_input.lower():
            print(f'You succeeded! Thanks for playing!')
            return
        meta_chain = initialize_meta_chain()
        meta_output = meta_chain.predict(chat_history=get_chat_history(chain.memory))
        print(f'Feedback: {meta_output}')
        instructions = get_new_instructions(meta_output)
        print(f'New Instructions: {instructions}')
        print('\n'+'#'*80+'\n')
    print(f'You failed! Thanks for playing!')
Specify a task and interact with the agent#
task = "Provide a systematic argument for why we should always eat pasta with olives."
main(task)
[Episode 1/5]
> Entering new LLMChain chain...
Prompt after formatting:
    Instructions: None
    
    Human: Provide a systematic argument for why we should always eat pasta with olives.
    Assistant:
> Finished chain.
(Step 1/3)
Assistant:  Eating pasta with olives is a great way to add flavor and texture to a dish. Olives are a great source of healthy fats, vitamins, and minerals, and they can help to balance out the carbohydrates in the pasta. Additionally, olives provide a unique flavor that can help to make the dish more interesting and enjoyable.
Human:
rtdocs_stable/api.python.langchain.com/en/stable/use_cases/autonomous_agents/meta_prompt.html