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"""Configurator module."""
from __future__ import annotations
import logging
from pathlib import Path
from typing import TYPE_CHECKING, Literal, Optional
import click
from colorama import Back, Fore, Style
from autogpt import utils
from autogpt.config import Config
from autogpt.config.config import GPT_3_MODEL, GPT_4_MODEL
from autogpt.llm.api_manager import ApiManager
from autogpt.logs.config import LogFormatName
from autogpt.logs.helpers import request_user_double_check
from autogpt.memory.vector import get_supported_memory_backends
if TYPE_CHECKING:
from autogpt.core.resource.model_providers.openai import OpenAICredentials
logger = logging.getLogger(__name__)
def apply_overrides_to_config(
config: Config,
continuous: bool = False,
continuous_limit: Optional[int] = None,
ai_settings_file: Optional[Path] = None,
prompt_settings_file: Optional[Path] = None,
skip_reprompt: bool = False,
speak: bool = False,
debug: bool = False,
log_level: Optional[str] = None,
log_format: Optional[str] = None,
log_file_format: Optional[str] = None,
gpt3only: bool = False,
gpt4only: bool = False,
memory_type: Optional[str] = None,
browser_name: Optional[str] = None,
allow_downloads: bool = False,
skip_news: bool = False,
) -> None:
"""Updates the config object with the given arguments.
Args:
config (Config): The config object to update.
continuous (bool): Whether to run in continuous mode.
continuous_limit (int): The number of times to run in continuous mode.
ai_settings_file (Path): The path to the ai_settings.yaml file.
prompt_settings_file (Path): The path to the prompt_settings.yaml file.
skip_reprompt (bool): Whether to skip the re-prompting messages on start.
speak (bool): Whether to enable speak mode.
debug (bool): Whether to enable debug mode.
log_level (int): The global log level for the application.
log_format (str): The format for the log(s).
log_file_format (str): Override the format for the log file.
gpt3only (bool): Whether to enable GPT3.5 only mode.
gpt4only (bool): Whether to enable GPT4 only mode.
memory_type (str): The type of memory backend to use.
browser_name (str): The name of the browser to use for scraping the web.
allow_downloads (bool): Whether to allow AutoGPT to download files natively.
skips_news (bool): Whether to suppress the output of latest news on startup.
"""
config.continuous_mode = False
config.tts_config.speak_mode = False
# Set log level
if debug:
config.logging.level = logging.DEBUG
elif log_level and type(_level := logging.getLevelName(log_level.upper())) is int:
config.logging.level = _level
# Set log format
if log_format and log_format in LogFormatName._value2member_map_:
config.logging.log_format = LogFormatName(log_format)
if log_file_format and log_file_format in LogFormatName._value2member_map_:
config.logging.log_file_format = LogFormatName(log_file_format)
if continuous:
logger.warning(
"Continuous mode is not recommended. It is potentially dangerous and may"
" cause your AI to run forever or carry out actions you would not usually"
" authorise. Use at your own risk.",
)
config.continuous_mode = True
if continuous_limit:
config.continuous_limit = continuous_limit
# Check if continuous limit is used without continuous mode
if continuous_limit and not continuous:
raise click.UsageError("--continuous-limit can only be used with --continuous")
if speak:
config.tts_config.speak_mode = True
# Set the default LLM models
if gpt3only:
# --gpt3only should always use gpt-3.5-turbo, despite user's FAST_LLM config
config.fast_llm = GPT_3_MODEL
config.smart_llm = GPT_3_MODEL
elif (
gpt4only
and check_model(
GPT_4_MODEL,
model_type="smart_llm",
api_credentials=config.openai_credentials,
)
== GPT_4_MODEL
):
# --gpt4only should always use gpt-4, despite user's SMART_LLM config
config.fast_llm = GPT_4_MODEL
config.smart_llm = GPT_4_MODEL
else:
config.fast_llm = check_model(
config.fast_llm, "fast_llm", api_credentials=config.openai_credentials
)
config.smart_llm = check_model(
config.smart_llm, "smart_llm", api_credentials=config.openai_credentials
)
if memory_type:
supported_memory = get_supported_memory_backends()
chosen = memory_type
if chosen not in supported_memory:
logger.warning(
extra={
"title": "ONLY THE FOLLOWING MEMORY BACKENDS ARE SUPPORTED:",
"title_color": Fore.RED,
},
msg=f"{supported_memory}",
)
else:
config.memory_backend = chosen
if skip_reprompt:
config.skip_reprompt = True
if ai_settings_file:
file = ai_settings_file
# Validate file
(validated, message) = utils.validate_yaml_file(file)
if not validated:
logger.fatal(extra={"title": "FAILED FILE VALIDATION:"}, msg=message)
request_user_double_check()
exit(1)
config.ai_settings_file = config.project_root / file
config.skip_reprompt = True
if prompt_settings_file:
file = prompt_settings_file
# Validate file
(validated, message) = utils.validate_yaml_file(file)
if not validated:
logger.fatal(extra={"title": "FAILED FILE VALIDATION:"}, msg=message)
request_user_double_check()
exit(1)
config.prompt_settings_file = config.project_root / file
if browser_name:
config.selenium_web_browser = browser_name
if allow_downloads:
logger.warning(
msg=f"{Back.LIGHTYELLOW_EX}"
"AutoGPT will now be able to download and save files to your machine."
f"{Back.RESET}"
" It is recommended that you monitor any files it downloads carefully.",
)
logger.warning(
msg=f"{Back.RED + Style.BRIGHT}"
"NEVER OPEN FILES YOU AREN'T SURE OF!"
f"{Style.RESET_ALL}",
)
config.allow_downloads = True
if skip_news:
config.skip_news = True
def check_model(
model_name: str,
model_type: Literal["smart_llm", "fast_llm"],
api_credentials: OpenAICredentials,
) -> str:
"""Check if model is available for use. If not, return gpt-3.5-turbo."""
api_manager = ApiManager()
models = api_manager.get_models(api_credentials)
if any(model_name == m.id for m in models):
return model_name
logger.warning(
f"You don't have access to {model_name}. Setting {model_type} to gpt-3.5-turbo."
)
return "gpt-3.5-turbo"
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