Remove localai for now

localai/localai-deployment.yaml

@@ -1,32 +0,0 @@
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: localai
-  namespace: localai-ns
-spec:
-  replicas: 1
-  selector:
-    matchLabels:
-      app: localai
-  template:
-    metadata:
-      labels:
-        app: localai
-    spec:
-      runtimeClassName: nvidia
-      resources:
-        limits:
-          nvidia.com/gpu: 2
-      containers:
-      - name: localai
-        image: quay.io/go-skynet/local-ai:latest-aio-gpu-nvidia-cuda-12
-        ports:
-        - containerPort: 80
-        env:
-        volumeMounts:
-        - mountPath: "/models"
-          name: models
-      volumes:
-      - name: models
-        persistentVolumeClaim:
-          claimName: localai-pvc

localai/localai-helm-release.yaml.off

@@ -1,144 +0,0 @@
-apiVersion: helm.toolkit.fluxcd.io/v2beta1
-kind: HelmRelease
-metadata:
-  name: localai
-  namespace: localai-ns
-spec:
-  chart:
-    spec:
-      chart: local-ai
-      sourceRef:
-        kind: HelmRepository
-        name: go-skynet
-        namespace: flux-system
-  interval: 15m0s
-  timeout: 5m
-  releaseName: localai
-  values:
-    replicaCount: 1
-
-    deployment:
-      image:
-        repository: quay.io/go-skynet/local-ai  # Example: "docker.io/myapp"
-        tag: latest
-      env:
-        threads: 4
-        context_size: 1024
-        debug: "true"
-      modelsPath: "/models"
-      download_model:
-        # To use cloud provided (eg AWS) image, provide it like: 1234356789.dkr.ecr.us-REGION-X.amazonaws.com/busybox
-        image: busybox
-      prompt_templates:
-        # To use cloud provided (eg AWS) image, provide it like: 1234356789.dkr.ecr.us-REGION-X.amazonaws.com/busybox
-        image: busybox
-      pullPolicy: IfNotPresent
-      imagePullSecrets: []
-        # - name: secret-names
-
-      ## Needed for GPU Nodes
-      runtimeClassName: nvidia
-
-    resources:
-      # {}
-      # We usually recommend not to specify default resources and to leave this as a conscious
-      # choice for the user. This also increases chances charts run on environments with little
-      # resources, such as Minikube. If you do want to specify resources, uncomment the following
-      # lines, adjust them as necessary, and remove the curly braces after 'resources:'.
-      limits:
-        cpu: 100m
-        memory: 2048Mi
-        nvidia.com/gpu: 3
-      # requests:
-      #   cpu: 100m
-      #   memory: 128Mi
-
-    # Prompt templates to include
-    # Note: the keys of this map will be the names of the prompt template files
-    promptTemplates:
-      {}
-      # ggml-gpt4all-j.tmpl: |
-      #   The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
-      #   ### Prompt:
-      #   {{.Input}}
-      #   ### Response:
-
-    # Models to download at runtime
-    models:
-      # Whether to force download models even if they already exist
-      forceDownload: false
-
-      # The list of URLs to download models from
-      # Note: the name of the file will be the name of the loaded model
-      list:
-      #  - url: "https://gpt4all.io/models/ggml-gpt4all-j.bin"
-          # basicAuth: base64EncodedCredentials
-
-    initContainers: []
-    # Example:
-    # - name: my-init-container
-    #   image: my-init-image
-    #   imagePullPolicy: IfNotPresent
-    #   command: ["/bin/sh", "-c", "echo init"]
-    #   volumeMounts:
-    #     - name: my-volume
-    #       mountPath: /path/to/mount
-
-    sidecarContainers: []
-      #- name: model-file-browser
-      #  image: my-sidecar-image
-      #  imagePullPolicy: IfNotPresent
-      #  ports:
-      #    - containerPort: 1234
-
-    # Persistent storage for models and prompt templates.
-    # PVC and HostPath are mutually exclusive. If both are enabled,
-    # PVC configuration takes precedence. If neither are enabled, ephemeral
-    # storage is used.
-    persistence:
-      models:
-        enabled: true
-        annotations: {}
-        storageClass: "longhorn"
-        accessModes: ReadWriteMany
-        size: 50Gi
-        globalMount: /models
-      output:
-        enabled: true
-        annotations: {}
-        storageClass: "longhorn"
-        accessModes: ReadWriteMany
-        size: 1Gi
-        globalMount: /tmp/generated
-
-    service:
-      type: LoadBalancer
-      # If deferring to an internal only load balancer
-      # externalTrafficPolicy: Local
-      port: 80
-      annotations: {}
-      # If using an AWS load balancer, you'll need to override the default 60s load balancer idle timeout
-      # service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "1200"
-
-    ingress:
-      enabled: false
-      className: ""
-      annotations:
-        {}
-        # kubernetes.io/ingress.class: nginx
-        # kubernetes.io/tls-acme: "true"
-      hosts:
-        - host: chart-example.local
-          paths:
-            - path: /
-              pathType: ImplementationSpecific
-      tls: []
-      #  - secretName: chart-example-tls
-      #    hosts:
-      #      - chart-example.local
-
-    nodeSelector: {}
-
-    tolerations: []
-
-    affinity: {}

localai/localai-pvc.yaml

@@ -1,11 +0,0 @@
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: localai-pvc
-  namespace: localai-ns
-spec:
-  accessModes:
-    - ReadWriteMany
-  resources:
-    requests:
-      storage: 20Gi

localai/localai-service.yaml

@@ -1,13 +0,0 @@
-apiVersion: v1
-kind: Service
-metadata:
-  name: localai
-  namespace: localai-ns
-spec:
-  type: LoadBalancer
-  selector:
-    app: localai
-  ports:
-  - port: 80
-    targetPort: 80
-    protocol: TCP