"""The application entry point. Can be invoked by a CLI or any other front end application.""" import logging import sys from pathlib import Path from colorama import Fore from autogpt.agent.agent import Agent from autogpt.commands.command import CommandRegistry from autogpt.config import Config, check_openai_api_key from autogpt.configurator import create_config from autogpt.logs import logger from autogpt.memory import get_memory from autogpt.plugins import scan_plugins from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT, construct_main_ai_config from autogpt.utils import get_current_git_branch, get_latest_bulletin from autogpt.workspace import Workspace from scripts.install_plugin_deps import install_plugin_dependencies def run_auto_gpt( continuous: bool, continuous_limit: int, ai_settings: str, skip_reprompt: bool, speak: bool, debug: bool, gpt3only: bool, gpt4only: bool, memory_type: str, browser_name: str, allow_downloads: bool, skip_news: bool, workspace_directory: str, install_plugin_deps: bool, ): # Configure logging before we do anything else. logger.set_level(logging.DEBUG if debug else logging.INFO) logger.speak_mode = speak cfg = Config() # TODO: fill in llm values here check_openai_api_key() create_config( continuous, continuous_limit, ai_settings, skip_reprompt, speak, debug, gpt3only, gpt4only, memory_type, browser_name, allow_downloads, skip_news, ) if not cfg.skip_news: motd = get_latest_bulletin() if motd: logger.typewriter_log("NEWS: ", Fore.GREEN, motd) git_branch = get_current_git_branch() if git_branch and git_branch != "stable": logger.typewriter_log( "WARNING: ", Fore.RED, f"You are running on `{git_branch}` branch " "- this is not a supported branch.", ) if sys.version_info < (3, 10): logger.typewriter_log( "WARNING: ", Fore.RED, "You are running on an older version of Python. " "Some people have observed problems with certain " "parts of Auto-GPT with this version. " "Please consider upgrading to Python 3.10 or higher.", ) if install_plugin_deps: install_plugin_dependencies() # TODO: have this directory live outside the repository (e.g. in a user's # home directory) and have it come in as a command line argument or part of # the env file. if workspace_directory is None: workspace_directory = Path(__file__).parent / "auto_gpt_workspace" else: workspace_directory = Path(workspace_directory) # TODO: pass in the ai_settings file and the env file and have them cloned into # the workspace directory so we can bind them to the agent. workspace_directory = Workspace.make_workspace(workspace_directory) cfg.workspace_path = str(workspace_directory) # HACK: doing this here to collect some globals that depend on the workspace. file_logger_path = workspace_directory / "file_logger.txt" if not file_logger_path.exists(): with file_logger_path.open(mode="w", encoding="utf-8") as f: f.write("File Operation Logger ") cfg.file_logger_path = str(file_logger_path) cfg.set_plugins(scan_plugins(cfg, cfg.debug_mode)) # Create a CommandRegistry instance and scan default folder command_registry = CommandRegistry() command_registry.import_commands("autogpt.commands.analyze_code") command_registry.import_commands("autogpt.commands.audio_text") command_registry.import_commands("autogpt.commands.execute_code") command_registry.import_commands("autogpt.commands.file_operations") command_registry.import_commands("autogpt.commands.git_operations") command_registry.import_commands("autogpt.commands.google_search") command_registry.import_commands("autogpt.commands.image_gen") command_registry.import_commands("autogpt.commands.improve_code") command_registry.import_commands("autogpt.commands.twitter") command_registry.import_commands("autogpt.commands.web_selenium") command_registry.import_commands("autogpt.commands.write_tests") command_registry.import_commands("autogpt.app") ai_name = "" ai_config = construct_main_ai_config() ai_config.command_registry = command_registry # print(prompt) # Initialize variables full_message_history = [] next_action_count = 0 # Initialize memory and make sure it is empty. # this is particularly important for indexing and referencing pinecone memory memory = get_memory(cfg, init=True) logger.typewriter_log( "Using memory of type:", Fore.GREEN, f"{memory.__class__.__name__}" ) logger.typewriter_log("Using Browser:", Fore.GREEN, cfg.selenium_web_browser) system_prompt = ai_config.construct_full_prompt() if cfg.debug_mode: logger.typewriter_log("Prompt:", Fore.GREEN, system_prompt) agent = Agent( ai_name=ai_name, memory=memory, full_message_history=full_message_history, next_action_count=next_action_count, command_registry=command_registry, config=ai_config, system_prompt=system_prompt, triggering_prompt=DEFAULT_TRIGGERING_PROMPT, workspace_directory=workspace_directory, ) agent.start_interaction_loop()