Auto-update README with current k8s applications

Generated by CI/CD workflow on 2026-06-17 12:13:55

This PR updates the README.md file with the current list of applications found in the k8s/ directory structure.

README.md

@@ -42,6 +42,7 @@ ArgoCD homelab project
 
 | Application | Status |
 | :--- | :---: |
+| **amnezia** | [![amnezia](https://ag.hexor.cy/api/badge?name=amnezia&revision=true)](https://ag.hexor.cy/applications/argocd/amnezia) |
 | **comfyui** | [![comfyui](https://ag.hexor.cy/api/badge?name=comfyui&revision=true)](https://ag.hexor.cy/applications/argocd/comfyui) |
 | **furumi** | [![furumi](https://ag.hexor.cy/api/badge?name=furumi&revision=true)](https://ag.hexor.cy/applications/argocd/furumi) |
 | **gitea** | [![gitea](https://ag.hexor.cy/api/badge?name=gitea&revision=true)](https://ag.hexor.cy/applications/argocd/gitea) |
@@ -53,6 +54,7 @@ ArgoCD homelab project
 | **k8s-secrets** | [![k8s-secrets](https://ag.hexor.cy/api/badge?name=k8s-secrets&revision=true)](https://ag.hexor.cy/applications/argocd/k8s-secrets) |
 | **khm** | [![khm](https://ag.hexor.cy/api/badge?name=khm&revision=true)](https://ag.hexor.cy/applications/argocd/khm) |
 | **lidarr** | [![lidarr](https://ag.hexor.cy/api/badge?name=lidarr&revision=true)](https://ag.hexor.cy/applications/argocd/lidarr) |
+| **llamacpp** | [![llamacpp](https://ag.hexor.cy/api/badge?name=llamacpp&revision=true)](https://ag.hexor.cy/applications/argocd/llamacpp) |
 | **matrix** | [![matrix](https://ag.hexor.cy/api/badge?name=matrix&revision=true)](https://ag.hexor.cy/applications/argocd/matrix) |
 | **mtproxy** | [![mtproxy](https://ag.hexor.cy/api/badge?name=mtproxy&revision=true)](https://ag.hexor.cy/applications/argocd/mtproxy) |
 | **n8n** | [![n8n](https://ag.hexor.cy/api/badge?name=n8n&revision=true)](https://ag.hexor.cy/applications/argocd/n8n) |

k8s/apps/llamacpp/configmap-cuda.yaml

@@ -0,0 +1,12 @@
+apiVersion: v1
+kind: ConfigMap
+metadata:
+  name: llamacpp-cuda-config
+data:
+  LLAMA_CACHE: /models
+  LLAMA_ARG_HOST: 0.0.0.0
+  LLAMA_ARG_PORT: "8080"
+  LLAMA_ARG_HF_REPO: "unsloth/gemma-4-12b-it-GGUF:Q6_K"
+  LLAMA_ARG_CTX_SIZE: "32768"
+  LLAMA_ARG_FLASH_ATTN: auto
+  LLAMA_ARG_FIT: "on"

k8s/apps/llamacpp/deployment-cuda.yaml

@@ -0,0 +1,72 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: llamacpp-cuda
+  annotations:
+    reloader.stakater.com/auto: "true"
+  labels:
+    app: llamacpp-cuda
+spec:
+  replicas: 1
+  strategy:
+    type: Recreate
+  selector:
+    matchLabels:
+      app: llamacpp-cuda
+  template:
+    metadata:
+      labels:
+        app: llamacpp-cuda
+    spec:
+      dnsPolicy: Default
+      runtimeClassName: nvidia
+      nodeSelector:
+        kubernetes.io/hostname: uk-desktop.tail2fe2d.ts.net
+      tolerations:
+        - key: workload
+          operator: Equal
+          value: desktop
+          effect: NoSchedule
+      containers:
+        - name: llamacpp
+          image: ghcr.io/ggml-org/llama.cpp:server-cuda-b9501
+          imagePullPolicy: IfNotPresent
+          envFrom:
+            - configMapRef:
+                name: llamacpp-cuda-config
+          env:
+            - name: HF_TOKEN
+              valueFrom:
+                secretKeyRef:
+                  name: llamacpp-hf-token
+                  key: token
+                  optional: true
+          ports:
+            - name: http
+              containerPort: 8080
+              protocol: TCP
+          resources:
+            limits:
+              nvidia.com/gpu: 1
+          startupProbe:
+            httpGet:
+              path: /health
+              port: http
+            failureThreshold: 180
+            periodSeconds: 10
+            timeoutSeconds: 5
+          readinessProbe:
+            httpGet:
+              path: /health
+              port: http
+            failureThreshold: 3
+            periodSeconds: 10
+            timeoutSeconds: 5
+          volumeMounts:
+            - name: models
+              mountPath: /models
+      volumes:
+        - name: models
+          hostPath:
+            path: /data/llama.cpp/models
+            type: DirectoryOrCreate

k8s/apps/llamacpp/kustomization.yaml

@@ -3,6 +3,9 @@ kind: Kustomization
 
 resources:
   - app.yaml
+  - configmap-cuda.yaml
   - configmap.yaml
+  - deployment-cuda.yaml
   - deployment.yaml
+  - service-cuda.yaml
   - service.yaml

k8s/apps/llamacpp/service-cuda.yaml

@@ -0,0 +1,15 @@
+apiVersion: v1
+kind: Service
+metadata:
+  name: llamacpp-cuda
+  labels:
+    app: llamacpp-cuda
+spec:
+  type: ClusterIP
+  selector:
+    app: llamacpp-cuda
+  ports:
+    - name: http
+      port: 8080
+      targetPort: http
+      protocol: TCP