VibeTools

Table of Contents

• Introduction
• Features
• Technologies
• Team
• Contributing
• Others

Introduction

VibeTools is a lightweight python package containing shared modules/logic across several vibe-engineers libraries. Note that this package is depended on by other sublibraries (e.g. VibeChecks) and is not intended to be used externally. Unless you're a developer working on one of the vibe-engineers libraries, you should not be installing this core library directly.

For internal developers, VibeTools is published on pypi and can be easily installed with:

python3 -m pip install vibetools

Details on the usage of the package and available APIs can be found on the wiki page.

Features

• Shared LLM Modules: The core library provides shared LLM modules such as Google Gemini and OpenAI Wrappers. It also contains shared evaluation logic.
• Common Base Exceptions: Several common base exceptions are available out of the box (e.g. VibeTimeoutException, VibeResponseParseException).
• Logger: A custom logger is included in the core library for ease and consistency of log outputs.

Technologies

Technologies used by VibeTools are as below:

Done with:

Python

Project Repository

https://github.com/vibe-engineers/vibetools

Team

• Kong Le-Yi
• Tan Jin

Contributing

If you are looking to contribute to the project, you may find the Developer Guide useful.

In general, the forking workflow is encouraged and you may open a pull request with clear descriptions on the changes and what they are intended to do (enhancement, bug fixes etc). Alternatively, you may simply raise bugs or suggestions by opening an issue or raising it up on discord.

Note: Templates have been created for pull requests and issues to guide you in the process.

Others

For any questions regarding the implementation of the project, you may also reach out on discord.