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73 lines
1.7 KiB
Markdown
73 lines
1.7 KiB
Markdown
# k8sgpt example
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This example show how to use LocalAI with k8sgpt
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## Create the cluster locally with Kind (optional)
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If you want to test this locally without a remote Kubernetes cluster, you can use kind.
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Install [kind](https://kind.sigs.k8s.io/) and create a cluster:
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```
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kind create cluster
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```
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## Setup LocalAI
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We will use [helm](https://helm.sh/docs/intro/install/):
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```
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helm repo add go-skynet https://go-skynet.github.io/helm-charts/
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helm repo update
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# Clone LocalAI
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git clone https://github.com/go-skynet/LocalAI
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cd LocalAI/examples/k8sgpt
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# modify values.yaml preload_models with the models you want to install.
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# CHANGE the URL to a model in huggingface.
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helm install local-ai go-skynet/local-ai --create-namespace --namespace local-ai --values values.yaml
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```
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## Setup K8sGPT
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```
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# Install k8sgpt
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helm repo add k8sgpt https://charts.k8sgpt.ai/
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helm repo update
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helm install release k8sgpt/k8sgpt-operator -n k8sgpt-operator-system --create-namespace --version 0.0.17
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```
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Apply the k8sgpt-operator configuration:
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```
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kubectl apply -f - << EOF
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apiVersion: core.k8sgpt.ai/v1alpha1
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kind: K8sGPT
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metadata:
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name: k8sgpt-local-ai
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namespace: default
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spec:
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backend: localai
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baseUrl: http://local-ai.local-ai.svc.cluster.local:8080/v1
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noCache: false
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model: gpt-3.5-turbo
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version: v0.3.0
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enableAI: true
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EOF
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```
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## Test
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Apply a broken pod:
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```
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kubectl apply -f broken-pod.yaml
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```
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## ArgoCD Deployment Example
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[Deploy K8sgpt + localai with Argocd](https://github.com/tyler-harpool/gitops/tree/main/infra/k8gpt)
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