chatgpt-prompt-wrapper 0.0.16

CLI tool to wrap ChatGPT Python API.

chatgpt-prompt-wrapper

Python CLI implementation for ChatGPT.

Requirements

• Python 3.9, 3.10, 3.11

Installation

By Homebrew:

$ brew install rcmdnk/rcmdnkpac/chatgpt-prompt-wrapper

By pip:

$ pip3 install chatgpt-prompt-wrapper

Preparation

To get an OpenAI API key, go to Account API Keys - OpenAI API.

Set it as the environment variable OPENAI_API_KEY.

To load the variable when you start the terminal, write it in .bashrc or .zshrc.

export OPENAI_API_KEY="sk-..."

Alternatively, pass the key using the '-k' or '--key' argument in the command.

Usage

Command-line interface Help

$ cg help
usage: cg [-h] [-k KEY] [-c CONF] [-m MODEL] [-t MAX_TOKENS] [-T MIN_MAX_TOKENS] [-l TOKENS_LIMIT] [--show] [--hide] [--multiline]
          [--no_multiline] [--vi] [--emacs] [--show_cost]
          subcommand [message ...]

positional arguments:
  subcommand            Subcommand to run. Use 'commands' subcommand to list up available subcommands.
  message               Message to send to ChatGPT

optional arguments:
  -h, --help            show this help message and exit
  -k KEY, --key KEY     OpenAI API key.
  -c CONF, --conf CONF  Path to the configuration toml file.
  -m MODEL, --model MODEL
                        ChatGPT Model to use.
  -t MAX_TOKENS, --max_tokens MAX_TOKENS
                        The maximum number of tokens to generate in the chat completion. Set 0 to use the max values for the model
                        minus prompt tokens.
  -T MIN_MAX_TOKENS, --min_max_tokens MIN_MAX_TOKENS
                        The minimum of max_tokens for the completion when max_tokens = 0.
  -l TOKENS_LIMIT, --tokens_limit TOKENS_LIMIT
                        The limit of the total tokens of the prompt and the completion. Set 0 to use the max values for the model.
  --show                Show prompt for ask command.
  --hide                Hide prompt for ask command.
  --multiline           Use multiline input for chat command.
  --no_multiline        Use single line input for chat command.
  --vi                  Use vi mode at chat.
  --emacs               Use emacs mode at chat.
  --show_cost           Show cost used.

$ cg commands
Available subcommands:
  Reserved commands:
    ask       : Ask w/o predefined prompt.
    chat      : Start chat w/o predefined prompt.
    discuss   : Start a discussion between GPTs. Give a them as a message.
    init      : Initialize config file with an example command.
    cost      : Show estimated cost used until now.
    commands  : List up subcommands (show this).
    version   : Show version.
    help      : Show help.
  User commands:
    test      : Example command to test the OpenAI API.
    ...

Ask, Chat

ask and chat are reserved commands for running simple interaction without a predefined prompt.

• ask

cg ask <message> returns the answer from ChatGPT for message.

• chat

cg chat starts a chat.

:memo: In chat mode, all messages in the past, including answers from ChatGPT, will be sent each time you send a new message.

The oldest message will be dropped when the total tokens (including the reserved tokens for the completion defined by max_tokens or min_max_tokens) exceeds the tokens limit (tokens_limit or the number of max tokens (-1) for the used model).

It means you will send almost the max length after a long conversation. Please keep the cost in mind. You may want to set tokens_limit.

Discuss

discuss is another reserved command which start a discussion between two ChatGPTs.

Two GPTs are ask to perform as:

• Please engage in the discussion as a supporter.
• Please engage in the discussion as a opponent.

You input message will be a message and they start a discussion.

Please push Enter to proceed a duscussion and Ctrl-C to quit a discussion.

Configuration file

You can define your command in the configuration files.

A command can be in either ask mode, chat mode or discuss mode.

• ask mode: Send a predefined prompt and a message from the command line and receive one answer.
• chat mode: Start a chat with a predefined prompt if defined:
  • chat mode can be either multiline or single (no_multiline), and vim or emacs.
• discuss mode: Start a discussion between two different ChatGPTs.

File path

The default path to the configuration file is $XDG_CONFIG_HOME/cg/config.toml.

If $XDG_CONFIG_HOME is not defined, use ~/.config/cg/config.toml.

If it does not exist and ~/.cg/config.toml exists, the existing file is used.

You can change the path by -c <file> (--conf <file>) option.

How to write the configuration file

The configuration file is written in the TOML format.

You can define a command as the top table name.

global is the special table to define global options, which are enabled for all commands if the command does not have the corresponding options.

The options for each table can be:

• description: Description of the command.
• mode: Set ask, chat or discuss. (default is ask mode.)
• show_cost: Set true to show the cost at the end of the command.
• model: The model to use (default: "gpt-3.5-turbo").
• max_tokens: The maximum number of tokens to generate in the chat completion. Set 0 to use the maximum values for the model. (default: 0)
• min_max_tokens: The minimum of max_tokens for the completion when max_tokens = 0. (default: 200)
• tokens_limit: The limit of the total tokens of the prompt and the completion. Set 0 to use the maximum values for the model. (default: 0)
• temperature: Sampling temperature (0 ~ 2). (default: 1)
• top_p: Probability (0 ~ 1) that the model will consider the top_p tokens. Do not set both temperature and top_p at the same time. (default: 1)
• presence_penalty: The penalty for the model to return the same token (-2 ~ 2). (default: 0)
• frequency_penalty: The penalty for the model to return the same token multiple times (-2 ~ 2). (default: 0)
• Table of alias: Dictionary of role aliases. The default alias is: 'user' = 'User', 'system' = 'System', 'assistant' = 'Assistant'.
• model_max_tokens: Additional or updated model's max_token definitions.
• price: Additional or updated model's price definitions.
• List of messages: Dictionary of message, which must have role and content (message text).
  • For ask, chat modes, role must be one of system, user and assistant
  • For discuss mode, three roles, theme, gpt1 and gpt2 are needed.

The options for ask mode:

• show: Set true to show prompt for non chat command.
• hide: Set true to hide prompt for non chat command (default).

The options for chat mode:

• multiline: Set true to hide prompt for non chat command.
• no_multiline: Set true to hide prompt for non chat command (default).
• vi: Set true to use vi mode.
• emacs: Set true to use emacs mode (default).

You can make a example configuration file by cg init.

Here is a example configuration:

[global]
# Global configuration
# `global` is special name and not a subcommand
model = 'gpt-3.5-turbo'

# Following model_max_tokens and prices are pre-defined in
# https://github.com/rcmdnk/chatgpt-prompt-wrapper/blob/main/src/chatgpt_prompt_wrapper/chatgpt/chatgpt.py
# If you find new model or price change, you can overwrite these variables in config as below.

[global.model_max_tokens]
"gpt-3.5-turbo-16k" = 16384

[global.prices]
"gpt-3.5-turbo-16k" = [0.003, 0.004]

[test]
# Example command to test the OpenAI API, taken from below.
# [Chat completion - OpenAI API](https://platform.openai.com/docs/guides/chat/introduction)

description = "Example command to test the OpenAI API."
show = true

[[test.messages]]
role = "system"
content = "You are a helpful assistant."
[[test.messages]]
role = "user"
content = "Who won the world series in 2020?"
[[test.messages]]
role = "assistant"
"content" = "The Los Angeles Dodgers won the World Series in 2020."
[[test.messages]]
role = "user"
content = "Where was it played?"

[sh]
description = "Ask a shell scripting question."
[[sh.messages]]
role = "user"
content = "You are an expert of the shell scripting. Answer the following questions."

[py]
description = "Ask a python programming question."
[[py.messages]]
role = "user"
content = "You are an expert python programmer. Answer the following questions."

[enjoy_chat]
description = "Chat example with a predefined prompt."
mode = 'chat'
[[chat.messages]]
role = "user"
content = "Let's enjoy a chat."


[dd]
mode = 'discuss'

[dd.names]
gpt1 = "pros"
gpt2 = "cons"

[[dd.messages]]
role = "theme"
content = "Discuss whether or not to actively adopt ChatGPT in the education field. Please provide one-sentence responses."
[[dd.messages]]
role = "gpt1"
content = "Please speak from the standpoint that you should actively adopt ChatGPT in the field of education."
[[dd.messages]]
role = "gpt2"
content = "Please speak from the standpoint that you should not actively adopt ChatGPT in the field of education."

These messages will be sent as an prompt before your input message.

You can give full questions and use cg w/o input messages like a first example test command.

Command examples:

• test

• sh

• py

• enjoy_chat

Example usage as a part of an external script

Git commit by ChatGPT

See git-gpt-commit.

Development

Poetry

Use Poetry to setup environment.

To install poetry, run:

$ pip install poetry

or use pipx (x is 3 or anything of your python version).

Setup poetry environment:

$ poetry install

Then enter the environment:

$ poetry shell

pre-commit

To check codes at the commit, use pre-commit.

pre-commit command will be installed in the poetry environment.

First, run:

$ pre-commit install

Then pre-commit will be run at the commit.

Sometimes, you may want to skip the check. In that case, run:

$ git commit --no-verify

You can run pre-commit on entire repository manually:

$ pre-commit run -a

pytest

Tests are written with pytest.

Write tests in /tests directory.

To run tests, run:

$ pytest

The default setting runs tests in parallel with -n auto. If you run tests in serial, run:

$ pytest -n 0

GitHub Actions

If you push a repository to GitHub, GitHub Actions will run a test job by GitHub Actions.

The job runs at the Pull Request, too.

It checks codes with pre-commit and runs tests with pytest. It also makes a test coverage report and uploads it to the coverage branch.

You can see the test status as a badge in the README.

Renovate

If you want to update dependencies automatically, install Renovate into your repository.