openai-cli-tools

openAI cli tools - (Interactive) CLI & REST

A CLI App for OpenAI Models is a command line interface app that allows users to easily interface with OpenAI models and services. It provides an intuitive chatbot UI, a suite of tools for use in the terminal, and a REST API. Users must provide their own API session and API keys to use the app. It is designed to make it easy to explore and use OpenAI's models and services, and is suitable for developers, data scientists, and anyone who wishes to use OpenAI's services.

This includes a web server for chatting and managing prompts, and a REST API for interacting with the app.

Installation

npm install openai-cli-tools

Build

You will need to build the app before you can use it. This will create a build folder with the compiled app.

#build 
npm run build
#build and run with server
npm run server
#just start cli, will display help
npm run start

Usage

CLI

#start cli
node build
#start interactive cli
node build chat
#prompt cli and get response as JSON
node build prompt "my prompt" --temperature 0.5 --max_tokens 100 --model "text-davinci-003" --json
#start cli with server
node build server
#start cli with server and port
node build server --port 3000

REST

prompt and chat are all available as REST endpoints. The server is available at http://localhost:8000 by default, and can be changed with the --port flag or by setting it in the .env file.

Authorization

The app requires an OpenAI API key and session to be set in the .env file. The .env file is not included in the repo, and must be created by the user. The .env file should be placed in the root directory of the project. The .env file should contain the following:

OPENAI_API_KEY="<YOUR_API_KEY>"
OPENAI_API_SESSION_TOKEN="<SESSION_TOKEN>"
SERVER_PORT="8000"
SERVER_PATH_CACHE="/path/to/cache"
SERVER_TOKENS="/path/to/cache/tokens.json"

Endpoints

Run a prompt with the following endpoint:

POST /api/prompt
{
    "prompt": "my prompt",
    "temperature": 0.5,
    "max_tokens": 100,
    "model": "text-davinci-003"
}

Create a new chat. Returns a JSON object with the prompt ID and the prompt text.

POST /api/chat/new -> returns id
{
    "prompt": "my prompt",
    "temperature": 0.5,
    "max_tokens": 100,
    "model": "text-davinci-003"
}

Continue on the thread with the id returned from the previous request.

POST /api/chat/:id
{
    "prompt": "my message",
    "temperature": 0.5,
    "max_tokens": 100,
    "model": "text-davinci-003"
}

Get the chat and its history

GET /api/chat/:id

Removes the entire chat from the server

DELETE /api/chat/:id

Removes the last record in the chat

DELETE /api/chat/:id/last

Contributing

Instructions for how others can contribute to your project, such as:

• Fork the repository
• Create a new branch (git checkout -b new-feature)
• Commit your changes (git commit -am 'Add new feature')
• Push to the branch (git push origin new-feature)
• Create a new Pull Request

License

MIT License

Copyright (c) 2023 Axel Rothe

Permission is granted to use, copy, modify, merge, publish, distribute, and/or sell copies of the Software, provided all copyright and permission notices are included.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY.