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.

Infacost

Install Infracost following the https://www.infracost.io/docs/#quick-start Register on https://www.infracost.io/

Add your API key to the environment: infracost configure set api_key

Add a repository secret called INFRACOST_API_KEY with your API key. https://docs.github.com/en/actions/security-guides/using-secrets-in-github-actions#creating-encrypted-secrets-for-a-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.