AutoGPT/autogpt/prompts/prompt.py

from colorama import Fore

from autogpt.config.ai_config import AIConfig
from autogpt.config.config import Config
from autogpt.logs import logger
from autogpt.prompts.generator import PromptGenerator
from autogpt.setup import prompt_user
from autogpt.utils import clean_input

CFG = Config()


def build_default_prompt_generator() -> PromptGenerator:
    """
    This function generates a prompt string that includes various constraints,
        commands, resources, and performance evaluations.

    Returns:
        str: The generated prompt string.
    """

    # Initialize the PromptGenerator object
    prompt_generator = PromptGenerator()

    # Add constraints to the PromptGenerator object
    prompt_generator.add_constraint(
        "~4000 word limit for short term memory. Your short term memory is short, so"
        " immediately save important information to files."
    )
    prompt_generator.add_constraint(
        "If you are unsure how you previously did something or want to recall past"
        " events, thinking about similar events will help you remember."
    )
    prompt_generator.add_constraint("No user assistance")
    prompt_generator.add_constraint(
        'Exclusively use the commands listed in double quotes e.g. "command name"'
    )

    # Define the command list
    commands = [
        ("Do Nothing", "do_nothing", {}),
        ("Task Complete (Shutdown)", "task_complete", {"reason": "<reason>"}),
    ]

    # Add commands to the PromptGenerator object
    for command_label, command_name, args in commands:
        prompt_generator.add_command(command_label, command_name, args)

    # Add resources to the PromptGenerator object
    prompt_generator.add_resource(
        "Internet access for searches and information gathering."
    )
    prompt_generator.add_resource("Long Term memory management.")
    prompt_generator.add_resource(
        "GPT-3.5 powered Agents for delegation of simple tasks."
    )
    prompt_generator.add_resource("File output.")

    # Add performance evaluations to the PromptGenerator object
    prompt_generator.add_performance_evaluation(
        "Continuously review and analyze your actions to ensure you are performing to"
        " the best of your abilities."
    )
    prompt_generator.add_performance_evaluation(
        "Constructively self-criticize your big-picture behavior constantly."
    )
    prompt_generator.add_performance_evaluation(
        "Reflect on past decisions and strategies to refine your approach."
    )
    prompt_generator.add_performance_evaluation(
        "Every command has a cost, so be smart and efficient. Aim to complete tasks in"
        " the least number of steps."
    )
    prompt_generator.add_performance_evaluation("Write all code to a file.")
    return prompt_generator


def construct_main_ai_config() -> AIConfig:
    """Construct the prompt for the AI to respond to

    Returns:
        str: The prompt string
    """
    config = AIConfig.load(CFG.ai_settings_file)
    if CFG.skip_reprompt and config.ai_name:
        logger.typewriter_log("Name :", Fore.GREEN, config.ai_name)
        logger.typewriter_log("Role :", Fore.GREEN, config.ai_role)
        logger.typewriter_log("Goals:", Fore.GREEN, f"{config.ai_goals}")
    elif config.ai_name:
        logger.typewriter_log(
            "Welcome back! ",
            Fore.GREEN,
            f"Would you like me to return to being {config.ai_name}?",
            speak_text=True,
        )
        should_continue = clean_input(
            f"""Continue with the last settings?
Name:  {config.ai_name}
Role:  {config.ai_role}
Goals: {config.ai_goals}
Continue (y/n): """
        )
        if should_continue.lower() == "n":
            config = AIConfig()

    if not config.ai_name:
        config = prompt_user()
        config.save(CFG.ai_settings_file)

    return config