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 = [
        ("Google Search", "google", {"input": "<search>"}),
        (
            "Browse Website",
            "browse_website",
            {"url": "<url>", "question": "<what_you_want_to_find_on_website>"},
        ),
        (
            "Start GPT Agent",
            "start_agent",
            {"name": "<name>", "task": "<short_task_desc>", "prompt": "<prompt>"},
        ),
        (
            "Message GPT Agent",
            "message_agent",
            {"key": "<key>", "message": "<message>"},
        ),
        ("List GPT Agents", "list_agents", {}),
        ("Delete GPT Agent", "delete_agent", {"key": "<key>"}),
        (
            "Clone Repository",
            "clone_repository",
            {"repository_url": "<url>", "clone_path": "<directory>"},
        ),
        ("Write to file", "write_to_file", {"file": "<file>", "text": "<text>"}),
        ("Read file", "read_file", {"file": "<file>"}),
        ("Append to file", "append_to_file", {"file": "<file>", "text": "<text>"}),
        ("Delete file", "delete_file", {"file": "<file>"}),
        ("Search Files", "search_files", {"directory": "<directory>"}),
        ("Evaluate Code", "evaluate_code", {"code": "<full_code_string>"}),
        (
            "Get Improved Code",
            "improve_code",
            {"suggestions": "<list_of_suggestions>", "code": "<full_code_string>"},
        ),
        (
            "Write Tests",
            "write_tests",
            {"code": "<full_code_string>", "focus": "<list_of_focus_areas>"},
        ),
        ("Execute Python File", "execute_python_file", {"file": "<file>"}),
        ("Generate Image", "generate_image", {"prompt": "<prompt>"}),
        ("Send Tweet", "send_tweet", {"text": "<text>"}),
    ]

    # Only add the audio to text command if the model is specified
    if cfg.huggingface_audio_to_text_model:
        commands.append(
            ("Convert Audio to text", "read_audio_from_file", {"file": "<file>"}),
        )

    # Add these command last.
    commands.append(
        ("Do Nothing", "do_nothing", {}),
    )
    commands.append(
        ("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."
    )

    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