Terraform Bootstrap and Weave AI Controllers

This repository contains two main directories: tf-bootstrap and weave-ai.

tf-bootstrap

The tf-bootstrap directory contains Terraform scripts that set up a Kubernetes in Docker (kind) cluster, a GitHub repository, and FluxCD.

To use the scripts in this directory:

1. Navigate to the tf-bootstrap directory.
2. Initialize Terraform with terraform init.
3. Apply the Terraform configuration with terraform apply.

This will create a kind cluster, a GitHub repository, and install FluxCD.

weave-ai

The weave-ai directory contains a collection of Flux controllers that manage the lifecycle of Large Language Models (LLMs) on Kubernetes.

To use the controllers in this directory:

1. Navigate to the weave-ai directory.
2. Follow the instruction in Readme file.

This will deploy the controller to your Kubernetes cluster.

Prerequisites

• Docker
• kind
• Terraform
• kubectl
• FluxCD

Please ensure that these are installed and properly configured on your machine before using the scripts and controllers in this repository.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the terms of the MIT license.