chatgpt-prompt-wrapper 0.0.2

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chatgpt-prompt-wrapper

Python CLI implementation for ChatGPT.

Requirement

• Python 3.9, 3.10, 3.11
• Poetry (For development)

Installation

$ pip install chatgpt-prompt-wrapper

Usage

Command line interface

$ cg help
usage: cg [-h] [-k KEY] [-c CONF] [-m MODEL] [-t TOKENS] [--show] [--hide] [--multiline]
          [--no_multiline] [--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 TOKENS, --tokens 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.
  --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.
  --show_cost           Show cost used.

$ cg commands
Available subcommands:
  Reserved commands:
    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.
    ...

Configuration file

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.

Subcommand is defined as the top table name.

The options for each table can be:

• description: Description of the command.
• chat: Set true to make the command chat mode (default is ask mode, only one exchange).
• show_cost: Set true to show 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 max 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 in 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)
• List of messages: Dictionary of message, which must have role ('system', 'user' or 'assistant') and content (message text).

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

Here is a example configuration (if you execute cg init at the first time, this configuration file is created).

[ask]
description = "Ask a question w/o predefined prompt."

[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."

[chat]
description = "Chat with the assistant."
chat = true
[[chat.messages]]
role = "user"
content = "Let's enjoy a chat."

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

• caht

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.