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import argparse
import argcomplete
import os
from dataclasses import dataclass
from typing import Tuple, Optional
from enum import Enum
class AutoDetectedOption(Enum):
ON = 'on'
OFF = 'off'
AUTO = 'auto'
def __str__(self : "AutoDetectedOption"):
return self.value
######################
## PUBLIC INTERFACE ##
######################
@dataclass
class RawArguments:
args : argparse.Namespace
debug : bool
openai_key : Optional[str] = None
def parse_raw_args_or_complete() -> RawArguments:
parser, debug = _construct_parser()
argcomplete.autocomplete( parser )
args = parser.parse_args()
openai_key = os.getenv("OPENAI_KEY", os.getenv("OPENAI_API_KEY"))
return RawArguments(
args = args,
debug = debug,
openai_key = openai_key
)
#####################
## PRIVATE LOGIC ##
#####################
_GPT_CLI_ENV_PREFIX = "GPT_CLI_"
def _construct_parser() \
-> Tuple[argparse.ArgumentParser, bool]:
debug = os.getenv(f'{_GPT_CLI_ENV_PREFIX}DEBUG') is not None
parser = argparse.ArgumentParser()
parser.add_argument(
"-m",
"--model",
default=os.getenv(f'{_GPT_CLI_ENV_PREFIX}MODEL', "gpt-3.5-turbo"),
help="ID of the model to use",
)
parser.add_argument(
"-t",
"--temperature",
type=float,
default=os.getenv(f'{_GPT_CLI_ENV_PREFIX}TEMPERATURE', 0.5),
help=(
"What sampling temperature to use, between 0 and 2. Higher values "
"like 0.8 will make the output more random, while lower values "
"like 0.2 will make it more focused and deterministic."
),
)
parser.add_argument(
"-f",
"--frequency-penalty",
type=float,
default=os.getenv(f'{_GPT_CLI_ENV_PREFIX}FREQUENCY_PENALTY', 0),
help=(
"Number between -2.0 and 2.0. Positive values penalize new tokens based "
"on their existing frequency in the text so far, decreasing the model's "
"likelihood to repeat the same line verbatim."
),
)
parser.add_argument(
"-p",
"--presence-penalty",
type=float,
default=os.getenv(f'{_GPT_CLI_ENV_PREFIX}PRESENCE_PENALTY', 0),
help=(
"Number between -2.0 and 2.0. Positive values penalize new tokens based "
"on whether they appear in the text so far, increasing the model's "
"likelihood to talk about new topics."
),
)
parser.add_argument(
"-k",
"--max-tokens",
type=int,
default=os.getenv(f'{_GPT_CLI_ENV_PREFIX}MAX_TOKENS', 2048),
help=(
"The maximum number of tokens to generate in the chat completion. "
"Defaults to 2048."
),
)
parser.add_argument(
"-s",
"--top-p",
type=float,
default=os.getenv(f'{_GPT_CLI_ENV_PREFIX}TOP_P', 1),
help=(
"An alternative to sampling with temperature, called nucleus sampling, "
"where the model considers the results of the tokens with top_p "
"probability mass. So 0.1 means only the tokens comprising the top 10%% "
"probability mass are considered."
),
)
parser.add_argument(
"-n",
"--n-completions",
type=int,
default=os.getenv('f{_GPT_CLI_ENV_PREFIX}N_COMPLETIONS', 1),
help="How many chat completion choices to generate for each input message.",
)
parser.add_argument(
"--system-message",
type=str,
default=os.getenv('f{_GPT_CLI_ENV_PREFIX}SYSTEM_MESSAGE'),
help="Specify an alternative system message.",
)
parser.add_argument(
"--adornments",
type=AutoDetectedOption,
choices=list(AutoDetectedOption),
default=AutoDetectedOption.AUTO,
help=(
"Show adornments to indicate the model and response."
" Can be set to 'on', 'off', or 'auto'."
)
)
parser.add_argument(
"--color",
type=AutoDetectedOption,
choices=list(AutoDetectedOption),
default=AutoDetectedOption.AUTO,
help="Set color to 'on', 'off', or 'auto'.",
)
parser.add_argument(
"--version",
action="store_true",
help="Print version and exit"
)
parser.add_argument(
"-l",
"--list-models",
action="store_true",
help="List models and exit"
)
parser.add_argument(
"-i",
"--interactive",
action="store_true",
help="Start an interactive session"
)
initial_prompt = parser.add_mutually_exclusive_group()
initial_prompt.add_argument(
'--prompt-from-fd',
type=int,
help="Obtain the initial prompt from the specified file descriptor",
)
initial_prompt.add_argument(
'--prompt-from-file',
type=str,
help="Obtain the initial prompt from the specified file",
)
parser.add_argument(
"message",
type=str,
nargs='?',
help=(
"The contents of the message. When in a interactive session, this is "
" the initial prompt provided."
),
)
if debug:
group = parser.add_mutually_exclusive_group()
group.add_argument(
'--save-response-to-file',
type=str,
help="UNSTABLE: save the response to a file. This can reply a response for debugging purposes",
)
group.add_argument(
'--load-response-from-file',
type=str,
help="UNSTABLE: load a response from a file. This can reply a response for debugging purposes",
)
return parser, debug
|
