developergpt 0.6.2

DeveloperGPT is a LLM-powered command line tool that enables natural language to terminal commands and in-terminal chat.

DeveloperGPT

DeveloperGPT is a LLM-powered command line tool that enables natural language to terminal commands and in-terminal chat. DeveloperGPT is powered by Google Gemini Pro by default but also supports OpenAI GPT LLMs and open-source LLMs from Hugging Face such as Zephyr and OpenChat.

NEW: As of December 2023, DeveloperGPT is completely free to use when using Google Gemini Pro (up to 60 requests per minute) - this is the default model used by DeveloperGPT in the latest version.

Supported LLMs

• Google AI (Free): Gemini (default)
• OpenAI (Paid): GPT3.5, GPT4
• Open Source (Free): Zephyr, OpenChat

DeveloperGPT has two main features:

1. Natural Language to Terminal Commands

Supported LLMs: Gemini (default), GPT3.5, GPT4, Zephyr, OpenChat

Usage: developergpt cmd [your natural language command request]

# Example
$ developergpt cmd list all commits that contain the word "llm"

Use developergpt cmd --fast to get commands faster without any explanations (may be less accurate).

# Fast Mode: Commands are given without explanation (may be less accurate)
$ developergpt cmd --fast [your natural language command request]

Use developergpt --model [gpt35,gpt4,zephyr,openchat] cmd to use a different LLM instead of Google Gemini.

# Example: Natural Language to Terminal Commands using the GPT3.5 instead of Gemini
$ developergpt --model gpt35 cmd [your natural language command request]

From limited testing, Google's Gemini model seems to have comparable accuracy to OpenAI GPT models while being completely free (as of December 2023). OpenAI GPT4 is the most accurate model but is also the most expensive to use, while GPT3.5 provides the best balance between accuracy and cost (with more deterministic results than Gemini). Open-source models Zephyr and OpenChat are less accurate and may result in in unexpected or undefined behavior. With all models, it is always good practice to manually verify the command output before running it.

2. Chat inside the Terminal

Supported LLMs: Gemini (default), GPT3.5, GPT4, Zephyr, OpenChat

Usage: developergpt chat

# chat with DeveloperGPT using Gemini Pro (default)
$ developergpt chat

Use developergpt --model [gpt35,gpt4,zephyr,openchat] chat to use a different LLM instead of Gemini.

# chat with DeveloperGPT using GPT3.5
$ developergpt --model gpt35 chat

# chat with DeveloperGPT using GPT4
$ developergpt --model gpt4 chat

# chat with DeveloperGPT using OpenChat
$ developergpt --model openchat chat

# chat with DeveloperGPT using Zephyr
$ developergpt --model zephyr chat

Chat moderation is NOT implemented - all your chat messages should follow the terms of use of the LLM used.

Usage

DeveloperGPT is NOT to be used for any purposes forbidden by the terms of use of the LLMs used. Additionally, DeveloperGPT itself (apart from the LLMs) is a proof of concept tool and is not intended to be used for any serious or commerical work.

Install DeveloperGPT from PyPI

pip install -U developergpt

Basic Usage

# see available commands
$ developergpt 

Setup

Using Google Gemini (Default)

By default, DeveloperGPT uses Google Gemini Pro. To use Gemini Pro, you will need an API key (free to use up to 60 queries per minute).

1. Get your own Google AI Studio API Key: https://makersuite.google.com/app/apikey
2. Set your Google API Key as an environment variable. You only need to do this once.

# set Google API Key (using zsh for example)
$ echo 'export GOOGLE_API_KEY=[your_key_here]' >> ~/.zshenv

# reload the environment (or just quit and open a new terminal)
$ source ~/.zshenv

Using OpenAI GPT LLMs

To use GPT3.5 or GPT4, you will need an OpenAI API key.

1. Get your own OpenAI API Key: https://platform.openai.com/account/api-keys
2. Set your OpenAI API Key as an environment variable. You only need to do this once.

# set OpenAI API Key (using zsh for example)
$ echo 'export OPENAI_API_KEY=[your_key_here]' >> ~/.zshenv

# reload the environment (or just quit and open a new terminal)
$ source ~/.zshenv

Using Open-Source LLMs (Optional)

To use open-source LLMs such as Zephyr or OpenChat hosted on Hugging Face, you can optionally set up a Hugging Face or Inference API token as an environment variable using the steps below. Setting up a token is not required, but it will allow you to make more requests without being rate limited.

# [OPTIONAL] set Hugging Face token (using zsh for example)
# You only need to do this once
$ echo 'export HUGGING_FACE_API_KEY=[your_key_here]' >> ~/.zshenv

# reload the environment (or just quit and open a new terminal)
$ source ~/.zshenv

Usage and Cost

Google Gemini

As of December 2023, Google Gemini is free to use up to 60 queries per minute. For more information, see: https://ai.google.dev/pricing

OpenAI GPT

You can monitor your OpenAI API usage here: https://platform.openai.com/account/usage. Based on preliminary testing, using DeveloperGPT with GPT3.5 should cost no more than 10 cents per day with regular usage.

Hugging-Face Open-Source LLMs

As of December 2023, using Hugging Face LLMs does not require a token and is free but rate limited. To avoid rate limit, you can set a token using the instructions above.

Contributing

Read the CONTRIBUTING.md file.

Future Roadmap

• Add support for more open-source models

Credit

• Thanks to Hugging Face and the NLP community for open-source models and prompts!
• This project uses the Python project template from https://github.com/rochacbruno/python-project-template