LocalAI

Welcome to the guide on using LocalAI with Kairos and K3s on your nodes!

But first, what is LocalAI?

LocalAI is a self-hosted, community-driven simple local OpenAI-compatible API written in go. Can be used as a drop-in replacement for OpenAI, running on CPU with consumer-grade hardware. Supports ggml compatible models, for instance: LLaMA, alpaca, gpt4all, vicuna, koala, gpt4all-j, cerebras. This means that you can have the power of an AI model in your Edge-Kubernetes cluster, and it can all be easily done thanks to GPT4ALL models, LocalAI and Kairos!

To get started, you’ll need to use standard images, which include k3s. Follow the Installation documentation, and use the following configuration:

#cloud-config

hostname: localai-{{ trunc 4 .MachineID }}
users:
- name: kairos
  passwd: kairos
  ssh_authorized_keys:
    - github:mauromorales

k3s:
  enabled: true

bundles:
  - targets:
      - run://quay.io/kairos/community-bundles:localai_latest
localai:
  serviceType: LoadBalancer

There are a few things to note in this configuration file:

• In the k3s block, we set it as enabled: true because we want Kairos to run k3s for us.
• In the bundles block, we add a target pointing to the community bundle of LocalAI.
• We add a localai block, where we specify the serviceType: LoadBalancer so we can access LocalAI’s API outside the cluster.

And that’s it! You should now have LocalAI and K3s set up on your Kairos node.

The first thing you want to check is which models you have available. By default, the LocalAI Kairos bundle downloads the ggml-gpt4all-j.bin model available from gpt4all.

$ curl http://192.168.122.177:8080/v1/models
{"object":"list","data":[{"id":"ggml-gpt4all-j.bin","object":"model"}]}

With the name of the model, we can now give it a go with:

$ curl http://192.168.122.177:8080/v1/completions -H "Content-Type: application/json" -d '{
     "model": "ggml-gpt4all-j.bin",
     "prompt": "Is there anybody out there?",                                                                                                                                                                                
     "temperature": 0.7
  }'
{"model":"ggml-gpt4all-j.bin","choices":[{"text":"As an AI language model, I do not have the ability to determine whether there is anybody out there or not. However, I can say that the concept of \"out there\" is a philosophical and cultural concept that refers to the idea that there are other beings or entities beyond our own world. Some people believe in the existence of extraterrestrial life, while others do not."}]}

And voilà! There you have it, a GPT model running on your k3s node.