clai

README

clai: command line artificial intelligence

clai integrates the OpenAI models with the terminal. You can generate images, text, summarize content and chat while using native terminal functionality, such as pipes and termination signals.

Prerequisites

• OpenAI API Key: Set the OPENAI_API_KEY environment variable to your OpenAI API key. See here: OpenAI API Key.
• Glow (Optional): Install Glow for formatted markdown output when querying text responses.

Installation

go install github.com/baalimago/clai@latest

Examples

Simple queries:

clai query My favorite color is blue, tell me some facts about it

clai -re `# Use the -re flag to use the previous query as context for some next query` \
    q Write a poem about my favorite colour 

Personally I have alias ask=clai q and then alias rask=clai -re q. This way I can ask -> rask -> rask for a temporary conversation.

Chatting:

clai chat new Lets have a conversation about Hegel

clai chat list `# List all your chats`

clai c continue 1 `# Continue some previous chat` 

Glob queries:

clai --raw `                    # Don't format output as markdown` \
    --chat-model gpt-3.5-turbo `# Use some other model` \
    glob '*.go' Generate a README for this project > README.md

Photos:

printf "flowers" | clai -i --photo-prefix=flowercat --photo-dir=/tmp photo "A cat made out of {}"

Since -N alternatives are disabled for many newer OpenAI models, you can use repeater to generate several responses from the same prompt:

NO_COLOR=true repeater -n 10 -w 3 -increment -file out.txt -output BOTH \
    clai -pp flower_INC p A cat made of flowers

clai help `# For more info about the available commands (and shorthands)`

Configuration

On initial run, clai will create configuration files at $HOME/.clai/, one for photo and one for chat/text. Here you can configure initial prompts, temperature and other settings.

Within $HOME/.clai/conversations you'll find all the conversations. You can also modify the chats here as a way to prompt, or create entirely new ones as you see fit.

Honorable mentions

This project is heavily inspired by: https://github.com/Licheam/zsh-ask, many thanks to Licheam for the inspiration.