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LangWhat

Answer "What is it?" on the command line with the power of large language models (LLMs).

pyWhat LLM version, leveraging OpenAI API and Sydney (Bing AI Chat).

Screenshots

OpenAI

langwhat 'f7316ffccd4d2d555a7522328cf792dd73bfbcd9'

langwhat 'f7316ffccd4d2d555a7522328cf792dd73bfbcd9' --zh

Sydney

Sydney fixed my type "marry" automatically.

langwhat 'marry ball washington' -s

langwhat 'marry ball washington' -s -z

Caching

Responses are much faster when cache hits, and token usage becomes 0.

Note that Sydney doesn't support counting token usage, and always shows 0.

lw teddy --show-token-usage

lw teddy --show-token-usage

Features

  • Uses few-shot prompting to reduce model mis-behavior
  • English by default for superior response speed and accuracy
  • Supports supplying API Key via either environment variable or config file at ~/.config/langwhat/api_key.txt
  • Supports using Sydney with -s flag
  • Caching responses in a local sqlite database

Installation

pipx

This is the recommended installation method.

$ pipx install langwhat

# python 3.11 or higher is required, if your pipx uses a lower version of python by default,
# you could run the following command to install langwhat with python 3.11
# pipx install --python "$(which python3.11)"

pip

$ pip install langwhat

Usage

$ langwhat --help

usage: lw [-h] [-z] [-s] [-C] [--show-token-usage] [-V] what

positional arguments:
  what                what is it

options:
  -h, --help          show this help message and exit
  -z, --zh            Use Mandarin to prompt and answer
  -s, --sydney        Use Sydney (Bing AI) instead of OpenAI
  -C, --no-cache      Disable cache
  --show-token-usage  Show token usage
  -V, --version       show program's version number and exit

Develop

$ git clone https://github.com/tddschn/langwhat.git
$ cd langwhat
$ poetry install

Credits