CONTRIBUTING.md

Contributing to LocalAI

Thank you for your interest in contributing to LocalAI! We appreciate your time and effort in helping to improve our project. Before you get started, please take a moment to review these guidelines.

Table of Contents

• Getting Started
  • Prerequisites
  • Setting up the Development Environment
• Contributing
  • Submitting an Issue
  • Creating a Pull Request (PR)
• Coding Guidelines
• Testing
• Documentation
• Community and Communication

Getting Started

Prerequisites

• Golang [1.21]
• Git
• macOS/Linux

Setting up the Development Environment and running localAI in the local environment

1. Clone the repository: git clone https://github.com/go-skynet/LocalAI.git
2. Navigate to the project directory: cd LocalAI
3. Install the required dependencies ( see https://localai.io/basics/build/#build-localai-locally )
4. Build LocalAI: make build
5. Run LocalAI: ./local-ai

Contributing

We welcome contributions from everyone! To get started, follow these steps:

Submitting an Issue

If you find a bug, have a feature request, or encounter any issues, please check the issue tracker to see if a similar issue has already been reported. If not, feel free to create a new issue and provide as much detail as possible.

Creating a Pull Request (PR)

1. Fork the repository.
2. Create a new branch with a descriptive name: git checkout -b [branch name]
3. Make your changes and commit them.
4. Push the changes to your fork: git push origin [branch name]
5. Create a new pull request from your branch to the main project's main or master branch.
6. Provide a clear description of your changes in the pull request.
7. Make any requested changes during the review process.
8. Once your PR is approved, it will be merged into the main project.

Coding Guidelines

• No specific coding guidelines at the moment. Please make sure the code can be tested. The most popular lint tools like golangci-lint can help you here.

Testing

make test cannot handle all the model now. Please be sure to add a test case for the new features or the part was changed.

Running AIO tests

All-In-One images has a set of tests that automatically verifies that most of the endpoints works correctly, a flow can be :

# Build the LocalAI docker image
make DOCKER_IMAGE=local-ai docker

# Build the corresponding AIO image
BASE_IMAGE=local-ai DOCKER_AIO_IMAGE=local-ai-aio:test make docker-aio

# Run the AIO e2e tests
LOCALAI_IMAGE_TAG=test LOCALAI_IMAGE=local-ai-aio make run-e2e-aio

Documentation

We are welcome the contribution of the documents, please open new PR or create a new issue. The documentation is available under docs/ https://github.com/mudler/LocalAI/tree/master/docs

Community and Communication

• You can reach out via the Github issue tracker.
• Open a new discussion at Discussion
• Join the Discord channel Discord