adding localAi v2.18.1, default values (#87)

Co-authored-by: Vishwanath S <[email protected]>

packs/local-ai-2.18.1/README.md

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+**LocalAI** is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that’s compatible with OpenAI (Elevenlabs, Anthropic... ) API specifications for local AI inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families. Does not require GPU. It is created and maintained by [Ettore Di Giacinto](https://github.com/mudler).
+
+
+## [💻 Get Started here!](https://localai.io/basics/getting_started/index.html)
+
+
+## 🚀 [Features](https://localai.io/features/)
+
+- 📖 [Text generation with GPTs](https://localai.io/features/text-generation/) (`llama.cpp`, `gpt4all.cpp`, ... [:book: and more](https://localai.io/model-compatibility/index.html#model-compatibility-table))
+- 🗣 [Text to Audio](https://localai.io/features/text-to-audio/)
+- 🔈 [Audio to Text](https://localai.io/features/audio-to-text/) (Audio transcription with `whisper.cpp`)
+- 🎨 [Image generation with stable diffusion](https://localai.io/features/image-generation)
+- 🔥 [OpenAI-alike tools API](https://localai.io/features/openai-functions/) 
+- 🧠 [Embeddings generation for vector databases](https://localai.io/features/embeddings/)
+- ✍️ [Constrained grammars](https://localai.io/features/constrained_grammars/)
+- 🖼️ [Download Models directly from Huggingface ](https://localai.io/models/)
+- 🥽 [Vision API](https://localai.io/features/gpt-vision/)
+- 📈 [Reranker API](https://localai.io/features/reranker/)
+- 🆕🖧 [P2P Inferencing](https://localai.io/features/distribute/)
+
+### 🔗 Resources
+
+- [LLM finetuning guide](https://localai.io/docs/advanced/fine-tuning/)
+- [How to build locally](https://localai.io/basics/build/index.html)
+- [How to install in Kubernetes](https://localai.io/basics/getting_started/index.html#run-localai-in-kubernetes)
+- [Projects integrating LocalAI](https://localai.io/docs/integrations/)
+- [How tos section](https://io.midori-ai.xyz/howtos/) (curated by our community)
+
+### 🔗 Community and integrations
+
+Build and deploy custom containers:
+- https://github.com/sozercan/aikit
+
+WebUIs:
+- https://github.com/Jirubizu/localai-admin
+- https://github.com/go-skynet/LocalAI-frontend
+- QA-Pilot(An interactive chat project that leverages LocalAI LLMs for rapid understanding and navigation of GitHub code repository) https://github.com/reid41/QA-Pilot
+
+Model galleries
+- https://github.com/go-skynet/model-gallery
+
+Other:
+- Helm chart https://github.com/go-skynet/helm-charts
+- VSCode extension https://github.com/badgooooor/localai-vscode-plugin
+- Terminal utility https://github.com/djcopley/ShellOracle
+- Local Smart assistant https://github.com/mudler/LocalAGI
+- Home Assistant https://github.com/sammcj/homeassistant-localai / https://github.com/drndos/hass-openai-custom-conversation / https://github.com/valentinfrlch/ha-gpt4vision
+- Discord bot https://github.com/mudler/LocalAGI/tree/main/examples/discord
+- Slack bot https://github.com/mudler/LocalAGI/tree/main/examples/slack
+- Shell-Pilot(Interact with LLM using LocalAI models via pure shell scripts on your Linux or MacOS system) https://github.com/reid41/shell-pilot
+- Telegram bot https://github.com/mudler/LocalAI/tree/master/examples/telegram-bot
+- Examples: https://github.com/mudler/LocalAI/tree/master/examples/

packs/local-ai-2.18.1/pack.json

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+{
+    "addonType": "system app",
+    "annotations": {
+      "commit_msg": "LocalAI - The free, Open Source OpenAI alternative",
+      "source": "community",
+      "contributor" : "pedro@spectrocloud"
+    },
+    "charts": [
+      "charts/local-ai-3.3.0.tgz"
+    ],
+    "cloudTypes": [
+      "all"
+    ],
+    "displayName": "LocalAI",
+    "layer":"addon",
+    "name": "local-ai",
+    "version": "2.18.1"
+}

packs/local-ai-2.18.1/values.yaml

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+# Default values for eck-elastic-operator
+# This is a YAML-formatted file
+pack:
+  content:
+    images:
+      - image: quay.io/go-skynet/local-ai:v2.18.1
+
+    charts:
+      - repo: https://go-skynet.github.io/helm-charts/
+        name: local-ai
+        version: 3.3.0
+  #The namespace (on the target cluster) to install this chart
+  #When not found, a new namespace will be created
+  namespace: "local-ui"
+
+charts:
+  local-ai:
+    fullnameOverride: local-ai
+
+    replicaCount: 1
+
+    deployment:
+      # For Nvidia GPUs uncomment one of the following (cuda11 or cuda12):
+      # image: localai/localai:v2.18.1-cublas-cuda11
+      # image: localai/localai:v2.18.1-cublas-cuda12
+      # image: localai/localai:v2.18.1-cublas-cuda11-ffmpeg (Video Acceleration)
+      # image: localai/localai:v2.18.1-cublas-cuda12-ffmpeg (Video Acceleration)
+      # More info in Docs: https://localai.io/features/gpu-acceleration/#cudanvidia-acceleration
+      image:
+        repository: quay.io/go-skynet/local-ai  # Example: "docker.io/myapp"
+        tag: v2.18.1    
+      env:
+        threads: 4
+        context_size: 512
+
+      # # Inject Secrets into Environment:
+      # secretEnv:
+      # - name: HF_TOKEN
+      #   valueFrom:
+      #     secretKeyRef:
+      #       name: some-secret
+      #       key: hf-token
+
+      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: gpu
+
+    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: 128Mi
+      # 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: []
+    # Example:
+    # - name: my-sidecar-container
+    #   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: hostPath
+        accessModes: ReadWriteMany
+        size: 10Gi
+        globalMount: /models
+      output:
+        enabled: true
+        annotations: {}
+        storageClass: hostPath
+        accessModes: ReadWriteMany
+        size: 5Gi
+        globalMount: /tmp/generated
+
+    service:
+      type: ClusterIP
+      # 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:
+        {}
+        # nginx.ingress.kubernetes.io/proxy-body-size: "25m" # This value determines the maxmimum uploadable file size
+        # 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: {}