Update argocd/apps/matrix-mrt0rtikize.yaml

argocd/apps/llama.yaml

@@ -20,3 +20,8 @@ spec:
       selfHeal: true
     syncOptions:
       - CreateNamespace=true
+  ignoreDifferences:
+    - group: apps
+      kind: Deployment
+      jsonPointers:
+        - /spec/replicas

argocd/apps/matrix-mrt0rtikize.yaml

@@ -0,0 +1,51 @@
+apiVersion: argoproj.io/v1alpha1
+kind: Application
+metadata:
+  name: matrix-mrt0rtikize
+  namespace: argocd
+  finalizers:
+    - resources-finalizer.argocd.argoproj.io
+spec:
+  project: default
+  source:
+    repoURL: ghcr.io
+    chart: element-hq/ess-helm/matrix-stack
+    targetRevision: 26.6.1
+    helm:
+      values: |
+        serverName: mrt0rtikize.ru
+
+        certManager:
+          clusterIssuer: letsencrypt-production
+
+        ingress:
+          className: traefik
+
+        synapse:
+          ingress:
+            host: matrix.mrt0rtikize.ru
+
+        matrixAuthenticationService:
+          ingress:
+            host: account.mrt0rtikize.ru
+
+        elementWeb:
+          ingress:
+            host: chat.mrt0rtikize.ru
+
+        elementAdmin:
+          ingress:
+            host: admin.mrt0rtikize.ru
+
+        matrixRTC:
+          ingress:
+            host: mrtc.mrt0rtikize.ru
+
+        hookshot:
+          enabled: true
+  destination:
+    server: https://kubernetes.default.svc
+    namespace: matrix-mrt0rtikize
+  syncPolicy:
+    syncOptions:
+      - CreateNamespace=true

bootstrap/argocd/values.yaml

@@ -8,6 +8,11 @@ configs:
   cm:
     timeout.reconciliation: 180s
     helm.timeoutSeconds: "300"
+    resource.customizations.health.networking.k8s.io_Ingress: |
+      hs = {}
+      hs.status = "Healthy"
+      hs.message = "Ingress is synced"
+      return hs
 
 redis:
   image:

infra/longhorn/longhorn-ingress.yaml

@@ -1,26 +0,0 @@
-apiVersion: networking.k8s.io/v1
-kind: Ingress
-metadata:
-  name: longhorn-ingress
-  namespace: longhorn-system
-  annotations:
-    cert-manager.io/cluster-issuer: letsencrypt-production
-    traefik.ingress.kubernetes.io/router.entrypoints: websecure
-    traefik.ingress.kubernetes.io/router.tls: "true"
-spec:
-  ingressClassName: traefik # We use Traefik as the ingress controller
-  tls:
-    - hosts:
-        - longhorn.mrt0rtikize.ru
-      secretName: longhorn-tls
-  rules:
-    - host: longhorn.mrt0rtikize.ru
-      http:
-        paths:
-          - path: /
-            pathType: Prefix
-            backend:
-              service:
-                name: longhorn-frontend # Service managing Longhorn dashboard
-                port:
-                  number: 80 # Service port where Longhorn UI runs

infra/longhorn/test-pvc.yaml

@@ -1,23 +0,0 @@
-apiVersion: storage.k8s.io/v1
-kind: StorageClass
-metadata:
-  name: longhorn
-provisioner: driver.longhorn.io
-parameters:
-  numberOfReplicas: '2'
-  staleReplicaTimeout: '30'
-allowVolumeExpansion: true
-reclaimPolicy: Retain
-volumeBindingMode: Immediate
----
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: longhorn-pvc
-spec:
-  accessModes:
-    - ReadWriteOnce
-  storageClassName: longhorn
-  resources:
-    requests:
-      storage: 2Gi

infra/metallb/ip-address-pool.yaml

@@ -1,10 +0,0 @@
-apiVersion: metallb.io/v1beta1
-kind: IPAddressPool
-metadata:
-  name: default-address-pool
-  namespace: metallb-system
-spec:
-  addresses:
-    - 10.0.0.120-10.0.0.200
-  autoAssign: true
-  avoidBuggyIPs: true

infra/metallb/l2advert.yaml

@@ -1,8 +0,0 @@
-apiVersion: metallb.io/v1beta1
-kind: L2Advertisement
-metadata:
-  name: default-advertisement
-  namespace: metallb-system
-spec:
-  ipAddressPools:
-    - default-address-pool

llama/cpu.yaml

@@ -1,147 +0,0 @@
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: llama-server-cpu
-  namespace: llama
-spec:
-  replicas: 1
-  strategy:
-    type: Recreate
-  selector:
-    matchLabels:
-      app: llama-server-cpu
-  template:
-    metadata:
-      labels:
-        app: llama-server-cpu
-      annotations:
-        prometheus.io/scrape: "true"
-        prometheus.io/port: "8080"
-        prometheus.io/path: "/metrics"
-    spec:
-      nodeSelector:
-        gpu: amd
-
-      initContainers:
-        - name: download-model
-          image: python:3.11-slim
-          env:
-            - name: HF_HOME
-              value: /models/.hf
-            - name: MODEL_REPO
-              value: "byteshape/Qwen3-Coder-30B-A3B-Instruct-GGUF"
-            - name: MODEL_FILE
-              value: "Qwen3-Coder-30B-A3B-Instruct-IQ4_XS-4.20bpw.gguf"
-          command:
-            - /bin/sh
-            - -c
-            - |
-              set -eux
-
-              MODEL_PATH="/models/${MODEL_FILE}"
-
-              if [ -f "${MODEL_PATH}" ]; then
-                echo "Model already exists at ${MODEL_PATH}, skipping download"
-                exit 0
-              fi
-
-              echo "Installing Hugging Face Hub downloader"
-              pip install --no-cache-dir huggingface_hub
-
-              echo "Downloading ${MODEL_REPO}/${MODEL_FILE}"
-              python - <<'PY'
-              import os
-              from huggingface_hub import hf_hub_download
-
-              repo_id = os.environ["MODEL_REPO"]
-              filename = os.environ["MODEL_FILE"]
-
-              token = os.environ.get("HUGGING_FACE_HUB_TOKEN")
-
-              path = hf_hub_download(
-                  repo_id=repo_id,
-                  filename=filename,
-                  local_dir="/models",
-                  local_dir_use_symlinks=False,
-                  token=token,
-              )
-              print(f"Downloaded to: {path}")
-              PY
-
-              ls -lah /models
-          volumeMounts:
-            - name: models
-              mountPath: /models
-
-      containers:
-        - name: llama
-          image: ghcr.io/ggml-org/llama.cpp:server
-          args:
-            - "--model"
-            - "/models/Qwen3-Coder-30B-A3B-Instruct-IQ4_XS-4.20bpw.gguf"
-            - "--host"
-            - "0.0.0.0"
-            - "--port"
-            - "8080"
-            - "--metrics"
-            - "--ctx-size"
-            - "32768"
-            - "--parallel"
-            - "1"
-            - "--cache-type-k"
-            - "q8_0"
-            - "--cache-type-v"
-            - "q8_0"
-          ports:
-            - name: http
-              containerPort: 8080
-
-          volumeMounts:
-            - name: models
-              mountPath: /models
-
-          resources:
-            requests:
-              cpu: "8"
-              memory: "24Gi"
-            limits:
-              cpu: "12"
-              memory: "24Gi"
-
-      volumes:
-        - name: models
-          persistentVolumeClaim:
-            claimName: llama-cpu-models-pvc
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: llama-server-cpu
-  namespace: llama
-spec:
-  selector:
-    app: llama-server-cpu
-  ports:
-    - name: http
-      port: 8080
-      targetPort: http
-  type: ClusterIP
----
-apiVersion: monitoring.coreos.com/v1
-kind: PodMonitor
-metadata:
-  name: llama-server-cpu
-  namespace: llama
-  labels:
-    app: llama-server-cpu
-spec:
-  namespaceSelector:
-    matchNames:
-      - llama
-  selector:
-    matchLabels:
-      app: llama-server-cpu
-  podMetricsEndpoints:
-    - port: http
-      path: /metrics
-      interval: 15s

llama/gpu-exporter.yaml

@@ -1,62 +0,0 @@
-apiVersion: apps/v1
-kind: DaemonSet
-metadata:
-  name: radeon-exporter
-  namespace: llama
-  labels:
-    app: radeon-exporter
-spec:
-  selector:
-    matchLabels:
-      app: radeon-exporter
-  template:
-    metadata:
-      labels:
-        app: radeon-exporter
-    spec:
-      nodeSelector:
-        gpu: amd
-      containers:
-        - name: radeon-exporter
-          image: kmulvey/radeon_exporter:latest
-          imagePullPolicy: IfNotPresent
-          ports:
-            - name: metrics
-              containerPort: 9200
-          securityContext:
-            privileged: true
-          volumeMounts:
-            - name: sys
-              mountPath: /sys
-              readOnly: true
-            - name: dri
-              mountPath: /dev/dri
-              readOnly: true
-      volumes:
-        - name: sys
-          hostPath:
-            path: /sys
-            type: Directory
-        - name: dri
-          hostPath:
-            path: /dev/dri
-            type: Directory
----
-apiVersion: monitoring.coreos.com/v1
-kind: PodMonitor
-metadata:
-  name: radeon-exporter
-  namespace: llama
-  labels:
-    monitoring: primary
-spec:
-  namespaceSelector:
-    matchNames:
-      - llama
-  selector:
-    matchLabels:
-      app: radeon-exporter
-  podMetricsEndpoints:
-    - port: metrics
-      path: /metrics
-      interval: 15s

llama/litellm-db.yaml

@@ -1,116 +0,0 @@
-apiVersion: v1
-kind: Secret
-metadata:
-  name: litellm-postgres
-  namespace: llama
-type: Opaque
-stringData:
-  POSTGRES_DB: litellm
-  POSTGRES_USER: litellm
-  POSTGRES_PASSWORD: 7792e47efbc7348155f54a15ed34dc1d06716b2b1848711d0ee90e3461883c0d
----
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: litellm-postgres
-  namespace: llama
-  labels:
-    app.kubernetes.io/name: litellm-postgres
-spec:
-  accessModes:
-    - ReadWriteOnce
-  resources:
-    requests:
-      storage: 10Gi
----
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: litellm-postgres
-  namespace: llama
-  labels:
-    app.kubernetes.io/name: litellm-postgres
-    app.kubernetes.io/component: database
-spec:
-  replicas: 1
-  selector:
-    matchLabels:
-      app.kubernetes.io/name: litellm-postgres
-      app.kubernetes.io/component: database
-  template:
-    metadata:
-      labels:
-        app.kubernetes.io/name: litellm-postgres
-        app.kubernetes.io/component: database
-    spec:
-      containers:
-        - name: postgres
-          image: postgres:16
-          imagePullPolicy: IfNotPresent
-          ports:
-            - name: postgres
-              containerPort: 5432
-          env:
-            - name: POSTGRES_DB
-              valueFrom:
-                secretKeyRef:
-                  name: litellm-postgres
-                  key: POSTGRES_DB
-            - name: POSTGRES_USER
-              valueFrom:
-                secretKeyRef:
-                  name: litellm-postgres
-                  key: POSTGRES_USER
-            - name: POSTGRES_PASSWORD
-              valueFrom:
-                secretKeyRef:
-                  name: litellm-postgres
-                  key: POSTGRES_PASSWORD
-          volumeMounts:
-            - name: data
-              mountPath: /var/lib/postgresql
-          readinessProbe:
-            exec:
-              command:
-                - sh
-                - -c
-                - pg_isready -U "$POSTGRES_USER" -d "$POSTGRES_DB"
-            initialDelaySeconds: 5
-            periodSeconds: 10
-          livenessProbe:
-            exec:
-              command:
-                - sh
-                - -c
-                - pg_isready -U "$POSTGRES_USER" -d "$POSTGRES_DB"
-            initialDelaySeconds: 20
-            periodSeconds: 20
-          resources:
-            requests:
-              cpu: 100m
-              memory: 256Mi
-            limits:
-              cpu: 500m
-              memory: 256Mi
-      volumes:
-        - name: data
-          persistentVolumeClaim:
-            claimName: litellm-postgres
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: litellm-postgres
-  namespace: llama
-  labels:
-    app.kubernetes.io/name: litellm-postgres
-    app.kubernetes.io/component: database
-spec:
-  selector:
-    app.kubernetes.io/name: litellm-postgres
-    app.kubernetes.io/component: database
-  ports:
-    - name: postgres
-      port: 5432
-      targetPort: postgres
-  type: ClusterIP

llama/litellm.yaml

@@ -1,202 +0,0 @@
-apiVersion: v1
-kind: Secret
-metadata:
-  name: litellm-secret
-  namespace: llama
-  labels:
-    app.kubernetes.io/name: litellm
-    app.kubernetes.io/component: gateway
-type: Opaque
-stringData:
-  LITELLM_MASTER_KEY: "6991c7c0f02b4bcf"
----
-apiVersion: v1
-kind: ConfigMap
-metadata:
-  name: litellm-config
-  namespace: llama
-  labels:
-    app.kubernetes.io/name: litellm
-    app.kubernetes.io/component: gateway
-data:
-  config.yaml: |
-    model_list:
-      - model_name: fast
-        litellm_params:
-          model: openai/fast
-          api_base: "http://llama-server-gpu.llama.svc.cluster.local:8080/v1"
-          api_key: none
-
-      - model_name: smart
-        litellm_params:
-          model: openai/smart
-          api_base: "http://llama-server-cpu.llama.svc.cluster.local:8080/v1"
-          api_key: none
-
-      - model_name: rp
-        litellm_params:
-          model: openai/rp
-          api_base: "http://llama-server-gpu-rp.llama.svc.cluster.local:8080/v1"
-          api_key: none
-    litellm_settings:
-      callbacks:
-        - prometheus
-    general_settings:
-      store_model_in_db: true
-      store_prompts_in_spend_logs: true
----
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: litellm
-  namespace: llama
-  labels:
-    app.kubernetes.io/name: litellm
-    app.kubernetes.io/component: gateway
-    app.kubernetes.io/part-of: llama-stack
-    monitoring: prometheus
-spec:
-  replicas: 1
-  selector:
-    matchLabels:
-      app.kubernetes.io/name: litellm
-      app.kubernetes.io/component: gateway
-  template:
-    metadata:
-      labels:
-        app.kubernetes.io/name: litellm
-        app.kubernetes.io/component: gateway
-        app.kubernetes.io/part-of: llama-stack
-        monitoring: prometheus
-      annotations:
-        prometheus.io/scrape: "true"
-        prometheus.io/port: "4000"
-        prometheus.io/path: "/metrics"
-    spec:
-      containers:
-        - name: litellm
-          image: ghcr.io/berriai/litellm:v1.82.6.rc.3
-          imagePullPolicy: IfNotPresent
-          args:
-            - "--config"
-            - "/app/config.yaml"
-          env:
-            - name: LITELLM_MASTER_KEY
-              valueFrom:
-                secretKeyRef:
-                  name: litellm-secret
-                  key: LITELLM_MASTER_KEY
-            - name: POSTGRES_USER
-              valueFrom:
-                secretKeyRef:
-                  name: litellm-postgres
-                  key: POSTGRES_USER
-
-            - name: POSTGRES_PASSWORD
-              valueFrom:
-                secretKeyRef:
-                  name: litellm-postgres
-                  key: POSTGRES_PASSWORD
-
-            - name: POSTGRES_DB
-              valueFrom:
-                secretKeyRef:
-                  name: litellm-postgres
-                  key: POSTGRES_DB
-
-            - name: DATABASE_URL
-              value: "postgresql://$(POSTGRES_USER):$(POSTGRES_PASSWORD)@litellm-postgres.llama.svc.cluster.local:5432/$(POSTGRES_DB)"
-          ports:
-            - name: http
-              containerPort: 4000
-              protocol: TCP
-          volumeMounts:
-            - name: litellm-config
-              mountPath: /app/config.yaml
-              subPath: config.yaml
-          resources:
-            requests:
-              cpu: "500m"
-              memory: "1Gi"
-            limits:
-              cpu: "1000m"
-              memory: "2Gi"
-      volumes:
-        - name: litellm-config
-          configMap:
-            name: litellm-config
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: litellm
-  namespace: llama
-  labels:
-    app.kubernetes.io/name: litellm
-    app.kubernetes.io/component: gateway
-    app.kubernetes.io/part-of: llama-stack
-    monitoring: prometheus
-spec:
-  selector:
-    app.kubernetes.io/name: litellm
-    app.kubernetes.io/component: gateway
-  ports:
-    - name: http
-      port: 4000
-      targetPort: http
-      protocol: TCP
-  type: ClusterIP
----
-apiVersion: networking.k8s.io/v1
-kind: Ingress
-metadata:
-  name: litellm
-  namespace: llama
-  labels:
-    app.kubernetes.io/name: litellm
-    app.kubernetes.io/component: gateway
-    app.kubernetes.io/part-of: llama-stack
-  annotations:
-    cert-manager.io/cluster-issuer: letsencrypt-production
-    traefik.ingress.kubernetes.io/router.entrypoints: websecure
-    traefik.ingress.kubernetes.io/router.tls: "true"
-spec:
-  ingressClassName: traefik
-  tls:
-    - hosts:
-        - litellm.mrt0rtikize.ru
-      secretName: web-echo-tls
-  rules:
-    - host: litellm.mrt0rtikize.ru
-      http:
-        paths:
-          - path: /
-            pathType: Prefix
-            backend:
-              service:
-                name: litellm
-                port:
-                  number: 4000
----
-apiVersion: monitoring.coreos.com/v1
-kind: PodMonitor
-metadata:
-  name: litellm
-  namespace: llama
-  labels:
-    app.kubernetes.io/name: litellm
-    app.kubernetes.io/component: gateway
-    app.kubernetes.io/part-of: llama-stack
-    release: kube-prometheus-stack
-spec:
-  namespaceSelector:
-    matchNames:
-      - llama
-  selector:
-    matchLabels:
-      app.kubernetes.io/name: litellm
-      app.kubernetes.io/component: gateway
-  podMetricsEndpoints:
-    - port: http
-      path: /metrics
-      interval: 30s

llama/main.yaml

@@ -1,166 +0,0 @@
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: llama-server-gpu
-  namespace: llama
-spec:
-  replicas: 1
-  selector:
-    matchLabels:
-      app: llama-server-gpu
-  template:
-    metadata:
-      labels:
-        app: llama-server-gpu
-      annotations:
-        prometheus.io/scrape: "true"
-        prometheus.io/port: "8080"
-        prometheus.io/path: "/metrics"
-    spec:
-      nodeSelector:
-        gpu: amd
-
-      initContainers:
-        - name: download-model
-          image: python:3.11-slim
-          env:
-            - name: HF_HOME
-              value: /models/.hf
-            - name: MODEL_REPO
-              value: "byteshape/Devstral-Small-2-24B-Instruct-2512-GGUF"
-            - name: MODEL_FILE
-              value: "Devstral-Small-2-24B-Instruct-2512-IQ4_XS-4.04bpw.gguf"
-            # optional, only if you need gated/private models
-            # - name: HUGGING_FACE_HUB_TOKEN
-            #   valueFrom:
-            #     secretKeyRef:
-            #       name: hf-token
-            #       key: token
-          command:
-            - /bin/sh
-            - -c
-            - |
-              set -eux
-
-              MODEL_PATH="/models/${MODEL_FILE}"
-
-              if [ -f "${MODEL_PATH}" ]; then
-                echo "Model already exists at ${MODEL_PATH}, skipping download"
-                exit 0
-              fi
-
-              echo "Installing Hugging Face Hub downloader"
-              pip install --no-cache-dir huggingface_hub
-
-              echo "Downloading ${MODEL_REPO}/${MODEL_FILE}"
-              python - <<'PY'
-              import os
-              from huggingface_hub import hf_hub_download
-
-              repo_id = os.environ["MODEL_REPO"]
-              filename = os.environ["MODEL_FILE"]
-
-              token = os.environ.get("HUGGING_FACE_HUB_TOKEN")
-
-              path = hf_hub_download(
-                  repo_id=repo_id,
-                  filename=filename,
-                  local_dir="/models",
-                  local_dir_use_symlinks=False,
-                  token=token,
-              )
-              print(f"Downloaded to: {path}")
-              PY
-
-              ls -lah /models
-          volumeMounts:
-            - name: models
-              mountPath: /models
-
-      containers:
-        - name: llama
-          image: ghcr.io/ggml-org/llama.cpp:server-vulkan
-          args:
-            - "--model"
-            - "/models/Devstral-Small-2-24B-Instruct-2512-IQ4_XS-4.04bpw.gguf"
-            - "--host"
-            - "0.0.0.0"
-            - "--port"
-            - "8080"
-            - "--n-gpu-layers"
-            - "999"
-            - "--metrics"
-
-            # performance tuning
-            - "--ctx-size"
-            - "32768"
-            - "--parallel"
-            - "4"
-
-            # KV cache quantization
-            - "--cache-type-k"
-            - "q8_0"
-            - "--cache-type-v"
-            - "q8_0"
-          ports:
-            - name: http
-              containerPort: 8080
-
-          securityContext:
-            privileged: true
-
-          volumeMounts:
-            - name: models
-              mountPath: /models
-            - name: dri
-              mountPath: /dev/dri
-
-          resources:
-            requests:
-              cpu: "2"
-              memory: "4Gi"
-            limits:
-              cpu: "2"
-              memory: "4Gi"
-
-      volumes:
-        - name: models
-          persistentVolumeClaim:
-            claimName: llama-gpu-models-pvc
-        - name: dri
-          hostPath:
-            path: /dev/dri
-            type: Directory
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: llama-server-gpu
-  namespace: llama
-spec:
-  selector:
-    app: llama-server-gpu
-  ports:
-    - name: http
-      port: 8080
-      targetPort: http
-  type: ClusterIP
----
-apiVersion: monitoring.coreos.com/v1
-kind: PodMonitor
-metadata:
-  name: llama-server-gpu
-  namespace: llama
-  labels:
-    app: llama-server-gpu
-spec:
-  namespaceSelector:
-    matchNames:
-      - llama
-  selector:
-    matchLabels:
-      app: llama-server-gpu
-  podMetricsEndpoints:
-    - port: http
-      path: /metrics
-      interval: 15s

llama/namespace.yaml

@@ -1,42 +0,0 @@
-apiVersion: v1
-kind: Namespace
-metadata:
-  name: llama
----
-# apiVersion: storage.k8s.io/v1
-# kind: StorageClass
-# metadata:
-#   name: longhorn-llama
-# provisioner: driver.longhorn.io
-# parameters:
-#   numberOfReplicas: "2"
-#   staleReplicaTimeout: "30"
-# allowVolumeExpansion: true
-# reclaimPolicy: Retain
-# volumeBindingMode: Immediate
-# ---
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: llama-gpu-models-pvc
-  namespace: llama
-spec:
-  accessModes:
-    - ReadWriteOnce
-  # storageClassName: longhorn-llama
-  resources:
-    requests:
-      storage: 50Gi
----
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: llama-cpu-models-pvc
-  namespace: llama
-spec:
-  accessModes:
-    - ReadWriteOnce
-  # storageClassName: longhorn-llama
-  resources:
-    requests:
-      storage: 100Gi

llama/rp.yaml

@@ -1,166 +0,0 @@
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: llama-server-gpu-rp
-  namespace: llama
-spec:
-  replicas: 1
-  selector:
-    matchLabels:
-      app: llama-server-gpu-rp
-  template:
-    metadata:
-      labels:
-        app: llama-server-gpu-rp
-      annotations:
-        prometheus.io/scrape: "true"
-        prometheus.io/port: "8080"
-        prometheus.io/path: "/metrics"
-    spec:
-      nodeSelector:
-        gpu: amd
-
-      initContainers:
-        - name: download-model
-          image: python:3.11-slim
-          env:
-            - name: HF_HOME
-              value: /models/.hf
-            - name: MODEL_REPO
-              value: "mradermacher/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B-GGUF"
-            - name: MODEL_FILE
-              value: "Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B.Q4_K_S.gguf"
-            # optional, only if you need gated/private models
-            # - name: HUGGING_FACE_HUB_TOKEN
-            #   valueFrom:
-            #     secretKeyRef:
-            #       name: hf-token
-            #       key: token
-          command:
-            - /bin/sh
-            - -c
-            - |
-              set -eux
-
-              MODEL_PATH="/models/${MODEL_FILE}"
-
-              if [ -f "${MODEL_PATH}" ]; then
-                echo "Model already exists at ${MODEL_PATH}, skipping download"
-                exit 0
-              fi
-
-              echo "Installing Hugging Face Hub downloader"
-              pip install --no-cache-dir huggingface_hub
-
-              echo "Downloading ${MODEL_REPO}/${MODEL_FILE}"
-              python - <<'PY'
-              import os
-              from huggingface_hub import hf_hub_download
-
-              repo_id = os.environ["MODEL_REPO"]
-              filename = os.environ["MODEL_FILE"]
-
-              token = os.environ.get("HUGGING_FACE_HUB_TOKEN")
-
-              path = hf_hub_download(
-                  repo_id=repo_id,
-                  filename=filename,
-                  local_dir="/models",
-                  local_dir_use_symlinks=False,
-                  token=token,
-              )
-              print(f"Downloaded to: {path}")
-              PY
-
-              ls -lah /models
-          volumeMounts:
-            - name: models
-              mountPath: /models
-
-      containers:
-        - name: llama
-          image: ghcr.io/ggml-org/llama.cpp:server-vulkan
-          args:
-            - "--model"
-            - "/models/Omega-Darker-Gaslight_The-Final-Forgotten-Fever-Dream-24B.Q4_K_S.gguf"
-            - "--host"
-            - "0.0.0.0"
-            - "--port"
-            - "8080"
-            - "--n-gpu-layers"
-            - "999"
-            - "--metrics"
-
-            # performance tuning
-            - "--ctx-size"
-            - "32768"
-            - "--parallel"
-            - "1"
-
-            # KV cache quantization
-            - "--cache-type-k"
-            - "q8_0"
-            - "--cache-type-v"
-            - "q8_0"
-          ports:
-            - name: http
-              containerPort: 8080
-
-          securityContext:
-            privileged: true
-
-          volumeMounts:
-            - name: models
-              mountPath: /models
-            - name: dri
-              mountPath: /dev/dri
-
-          resources:
-            requests:
-              cpu: "2"
-              memory: "4Gi"
-            limits:
-              cpu: "2"
-              memory: "4Gi"
-
-      volumes:
-        - name: models
-          persistentVolumeClaim:
-            claimName: llama-gpu-models-pvc
-        - name: dri
-          hostPath:
-            path: /dev/dri
-            type: Directory
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: llama-server-gpu-rp
-  namespace: llama
-spec:
-  selector:
-    app: llama-server-gpu-rp
-  ports:
-    - name: http
-      port: 8080
-      targetPort: http
-  type: ClusterIP
----
-apiVersion: monitoring.coreos.com/v1
-kind: PodMonitor
-metadata:
-  name: llama-server-gpu-rp
-  namespace: llama
-  labels:
-    app: llama-server-gpu-rp
-spec:
-  namespaceSelector:
-    matchNames:
-      - llama
-  selector:
-    matchLabels:
-      app: llama-server-gpu-rp
-  podMetricsEndpoints:
-    - port: http
-      path: /metrics
-      interval: 15s

manifests/argocd/ingress.yaml

@@ -1,26 +1,24 @@
 apiVersion: networking.k8s.io/v1
 kind: Ingress
 metadata:
-  name: grafana
-  namespace: metrics
+  name: argocd
+  namespace: argocd
   annotations:
     cert-manager.io/cluster-issuer: letsencrypt-production
-    traefik.ingress.kubernetes.io/router.entrypoints: websecure
-    traefik.ingress.kubernetes.io/router.tls: "true"
 spec:
   ingressClassName: traefik
   tls:
     - hosts:
-        - grafana.mrt0rtikize.ru
-      secretName: grafana-tls
+        - argocd.mrt0rtikize.ru
+      secretName: argocd-tls
   rules:
-    - host: grafana.mrt0rtikize.ru
+    - host: argocd.mrt0rtikize.ru
       http:
         paths:
           - path: /
             pathType: Prefix
             backend:
               service:
-                name: kube-prometheus-stack-grafana
+                name: argocd-server
                 port:
                   number: 80

manifests/llama/cpu.yaml

@@ -1,147 +0,0 @@
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: llama-server-cpu
-  namespace: llama
-spec:
-  replicas: 1
-  strategy:
-    type: Recreate
-  selector:
-    matchLabels:
-      app: llama-server-cpu
-  template:
-    metadata:
-      labels:
-        app: llama-server-cpu
-      annotations:
-        prometheus.io/scrape: "true"
-        prometheus.io/port: "8080"
-        prometheus.io/path: "/metrics"
-    spec:
-      nodeSelector:
-        gpu: amd
-
-      initContainers:
-        - name: download-model
-          image: python:3.11-slim
-          env:
-            - name: HF_HOME
-              value: /models/.hf
-            - name: MODEL_REPO
-              value: "byteshape/Qwen3-Coder-30B-A3B-Instruct-GGUF"
-            - name: MODEL_FILE
-              value: "Qwen3-Coder-30B-A3B-Instruct-IQ4_XS-4.20bpw.gguf"
-          command:
-            - /bin/sh
-            - -c
-            - |
-              set -eux
-
-              MODEL_PATH="/models/${MODEL_FILE}"
-
-              if [ -f "${MODEL_PATH}" ]; then
-                echo "Model already exists at ${MODEL_PATH}, skipping download"
-                exit 0
-              fi
-
-              echo "Installing Hugging Face Hub downloader"
-              pip install --no-cache-dir huggingface_hub
-
-              echo "Downloading ${MODEL_REPO}/${MODEL_FILE}"
-              python - <<'PY'
-              import os
-              from huggingface_hub import hf_hub_download
-
-              repo_id = os.environ["MODEL_REPO"]
-              filename = os.environ["MODEL_FILE"]
-
-              token = os.environ.get("HUGGING_FACE_HUB_TOKEN")
-
-              path = hf_hub_download(
-                  repo_id=repo_id,
-                  filename=filename,
-                  local_dir="/models",
-                  local_dir_use_symlinks=False,
-                  token=token,
-              )
-              print(f"Downloaded to: {path}")
-              PY
-
-              ls -lah /models
-          volumeMounts:
-            - name: models
-              mountPath: /models
-
-      containers:
-        - name: llama
-          image: ghcr.io/ggml-org/llama.cpp:server
-          args:
-            - "--model"
-            - "/models/Qwen3-Coder-30B-A3B-Instruct-IQ4_XS-4.20bpw.gguf"
-            - "--host"
-            - "0.0.0.0"
-            - "--port"
-            - "8080"
-            - "--metrics"
-            - "--ctx-size"
-            - "32768"
-            - "--parallel"
-            - "1"
-            - "--cache-type-k"
-            - "q8_0"
-            - "--cache-type-v"
-            - "q8_0"
-          ports:
-            - name: http
-              containerPort: 8080
-
-          volumeMounts:
-            - name: models
-              mountPath: /models
-
-          resources:
-            requests:
-              cpu: "8"
-              memory: "24Gi"
-            limits:
-              cpu: "12"
-              memory: "24Gi"
-
-      volumes:
-        - name: models
-          persistentVolumeClaim:
-            claimName: llama-cpu-models-pvc
----
-apiVersion: v1
-kind: Service
-metadata:
-  name: llama-server-cpu
-  namespace: llama
-spec:
-  selector:
-    app: llama-server-cpu
-  ports:
-    - name: http
-      port: 8080
-      targetPort: http
-  type: ClusterIP
----
-apiVersion: monitoring.coreos.com/v1
-kind: PodMonitor
-metadata:
-  name: llama-server-cpu
-  namespace: llama
-  labels:
-    app: llama-server-cpu
-spec:
-  namespaceSelector:
-    matchNames:
-      - llama
-  selector:
-    matchLabels:
-      app: llama-server-cpu
-  podMetricsEndpoints:
-    - port: http
-      path: /metrics
-      interval: 15s

manifests/llama/main.yaml

@@ -27,9 +27,9 @@ spec:
             - name: HF_HOME
               value: /models/.hf
             - name: MODEL_REPO
-              value: "byteshape/Devstral-Small-2-24B-Instruct-2512-GGUF"
+              value: "byteshape/Qwen3.6-35B-A3B-GGUF"
             - name: MODEL_FILE
-              value: "Devstral-Small-2-24B-Instruct-2512-IQ4_XS-4.04bpw.gguf"
+              value: "Qwen3.6-35B-A3B-IQ3_S-3.00bpw.gguf"
             # optional, only if you need gated/private models
             # - name: HUGGING_FACE_HUB_TOKEN
             #   valueFrom:
@@ -82,7 +82,9 @@ spec:
           image: ghcr.io/ggml-org/llama.cpp:server-vulkan
           args:
             - "--model"
-            - "/models/Devstral-Small-2-24B-Instruct-2512-IQ4_XS-4.04bpw.gguf"
+            - "/models/Qwen3.6-35B-A3B-IQ3_S-3.00bpw.gguf"
+            - "--mmproj"
+            - "/models/mmproj-bf16.gguf"
             - "--host"
             - "0.0.0.0"
             - "--port"
@@ -93,9 +95,9 @@ spec:
 
             # performance tuning
             - "--ctx-size"
-            - "32768"
+            - "24576"
             - "--parallel"
-            - "4"
+            - "2"
 
             # KV cache quantization
             - "--cache-type-k"

manifests/llama/namespace.yaml

@@ -26,7 +26,7 @@ spec:
   # storageClassName: longhorn-llama
   resources:
     requests:
-      storage: 50Gi
+      storage: 100Gi
 ---
 apiVersion: v1
 kind: PersistentVolumeClaim

metrics/README.md

@@ -1,62 +0,0 @@
-# metrics stack
-
-Opinionated manifests for deploying kube-prometheus-stack (Prometheus Operator + Grafana) together with a VictoriaMetrics single-node database in the `metrics` namespace.
-
-## Install / upgrade
-
-```sh
-kubectl apply -f metrics/namespace.yaml
-
-# kube-prometheus-stack
-target=sc prometheus-community
-helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
-helm repo update
-helm upgrade --install kube-prometheus-stack prometheus-community/kube-prometheus-stack \
-  --namespace metrics \
-  --values metrics/kube-prometheus-stack-values.yaml
-
-kubectl --namespace metrics get secret kube-prometheus-stack-grafana \
-  -o jsonpath="{.data.admin-password}" | base64 -d
-echo
-
-# expose grafana via Traefik
-kubectl apply -f metrics/grafana-ingress.yaml
-kubectl -n metrics get ingress grafana
-
-# victoria metrics for long-term storage
-helm repo add victoria-metrics https://victoriametrics.github.io/helm-charts
-helm upgrade --install victoria-metrics-single victoria-metrics/victoria-metrics-single \
-  --namespace metrics \
-  --values metrics/victoria-metrics-single-values.yaml
-
-# expose victoria metrics via ClusterIP for Prometheus/Grafana
-kubectl apply -f metrics/victoria-metrics-service.yaml
-```
-
-The manifests default to the Yandex Managed Kubernetes dynamic storage class `yc-network-hdd`; tweak the `storageClassName`/`storageClass` fields and capacities if you prefer something else.
-Before applying `metrics/grafana-ingress.yaml`, update the host (`grafana.playground.t01tt.tech`) and, if needed, change the `cert-manager.io/cluster-issuer` annotation to match your staging/production workflow. The ingress uses the `traefik` ingress class.
-
-## Components
-
-- **Prometheus Operator** provisions Prometheus, Alertmanager and related CRDs. Remote write targets VictoriaMetrics for durable retention.
-- **Grafana** is pre-provisioned with persistence enabled and a secondary data source pointing at VictoriaMetrics.
-- **VictoriaMetrics** stores metrics for long-term retention while also serving query traffic for Grafana. A dedicated ClusterIP service (`metrics/victoria-metrics-service.yaml`) exposes port 8428 for Prometheus remote write and Grafana queries.
-
-## Database choices
-
-Prometheus ships with an embedded TSDB. For longer retention, clustering or multi-tenant needs you can offload data to:
-
-- **VictoriaMetrics** (single, clustered, or managed) – cost-efficient, Prometheus-compatible, supports multi-year retention.
-- **Thanos / Cortex / Grafana Mimir** – horizontally scalable object-storage backed TSDBs with multi-cluster federation.
-- **ClickHouse / TimescaleDB / PostgreSQL** – SQL stores for advanced analytics (requires Promscale or similar adapter).
-- **Graphite / InfluxDB** – legacy or streaming-friendly stores; integrate via remote write adapters.
-
-Pick the backend that matches your retention and query latency requirements. Remote write configuration lives under `prometheus.prometheusSpec.remoteWrite` in `kube-prometheus-stack-values.yaml`.
-
-## Post-install checks
-
-```sh
-kubectl -n metrics get pods
-kubectl -n metrics get svc
-kubectl -n metrics get prometheus,prometheusrules,servicemonitors -A
-```

metrics/kube-prometheus-stack-values.yaml

@@ -1,90 +0,0 @@
-fullnameOverride: kube-prometheus
-namespaceOverride: metrics
-
-prometheusOperator:
-  namespace: metrics
-  admissionWebhooks:
-    failurePolicy: Ignore
-
-alertmanager:
-  enabled: true
-  alertmanagerSpec:
-    resources:
-      requests:
-        cpu: 50m
-        memory: 128Mi
-      limits:
-        cpu: 200m
-        memory: 512Mi
-    storage:
-      volumeClaimTemplate:
-        spec:
-          accessModes:
-            - ReadWriteOnce
-          resources:
-            requests:
-              storage: 10Gi
-
-prometheus:
-  enabled: true
-  prometheusSpec:
-    replicas: 1
-    retention: 15d
-    walCompression: true
-    serviceMonitorSelectorNilUsesHelmValues: false
-    podMonitorSelectorNilUsesHelmValues: false
-    resources:
-      requests:
-        cpu: 100m
-        memory: 512Mi
-      limits:
-        cpu: 1000m
-        memory: 1Gi
-    storageSpec:
-      volumeClaimTemplate:
-        spec:
-          accessModes:
-            - ReadWriteOnce
-          resources:
-            requests:
-              storage: 50Gi
-    remoteWrite:
-      - url: http://victoria-metrics.metrics.svc.cluster.local:8428/api/v1/write
-        queueConfig:
-          maxSamplesPerSend: 10000
-          capacity: 5000
-          maxShards: 30
-
-kubeEtcd:
-  enabled: false
-
-kubeControllerManager:
-  enabled: false
-
-kubeScheduler:
-  enabled: false
-
-kubeProxy:
-  enabled: false
-
-grafana:
-  enabled: true
-  adminUser: admin
-  adminPassword: change-me
-  defaultDashboardsEnabled: true
-  resources:
-    requests:
-      cpu: 50m
-      memory: 256Mi
-    limits:
-      cpu: 200m
-      memory: 512Mi
-  persistence:
-    enabled: true
-    size: 10Gi
-  additionalDataSources:
-    - name: victoria-metrics
-      type: prometheus
-      access: proxy
-      url: http://victoria-metrics.metrics.svc.cluster.local:8428
-      isDefault: false

metrics/namespace.yaml

@@ -1,4 +0,0 @@
-apiVersion: v1
-kind: Namespace
-metadata:
-  name: metrics

metrics/victoria-metrics-service.yaml

@@ -1,19 +0,0 @@
-apiVersion: v1
-kind: Service
-metadata:
-  name: victoria-metrics
-  namespace: metrics
-  labels:
-    app.kubernetes.io/name: victoria-metrics-single
-    app.kubernetes.io/instance: victoria-metrics-single
-    app: server
-spec:
-  selector:
-    app.kubernetes.io/name: victoria-metrics-single
-    app.kubernetes.io/instance: victoria-metrics-single
-    app: server
-  ports:
-    - name: http
-      port: 8428
-      targetPort: 8428
-  type: ClusterIP

metrics/victoria-metrics-single-values.yaml

@@ -1,23 +0,0 @@
-fullnameOverride: victoria-metrics-single
-namespaceOverride: metrics
-
-server:
-  retentionPeriod: 30d
-  scrapeInterval: 30s
-  replicaCount: 1
-  persistentVolume:
-    enabled: true
-    size: 200Gi
-  resources:
-    requests:
-      cpu: 100m
-      memory: 256Mi
-    limits:
-      cpu: 500m
-      memory: 1Gi
-  service:
-    type: ClusterIP
-    port: 8428
-
-serviceAccount:
-  create: true

sillytavern/configmap.yaml

@@ -1,122 +0,0 @@
-apiVersion: v1
-kind: ConfigMap
-metadata:
-  name: sillytavern-config
-  namespace: sillytavern
-data:
-  config.yaml: |
-    dataRoot: ./data
-    listen: true
-    listenAddress:
-      ipv4: 0.0.0.0
-      ipv6: '[::]'
-    protocol:
-        ipv4: true
-        ipv6: false
-    dnsPreferIPv6: false
-    browserLaunch:
-      enabled: false
-      browser: 'default'
-      hostname: 'auto'
-      port: -1
-      avoidLocalhost: false
-    port: 8000
-    ssl:
-      enabled: false
-      certPath: "./certs/cert.pem"
-      keyPath: "./certs/privkey.pem"
-      keyPassphrase: ""
-    whitelistMode: false
-    enableForwardedWhitelist: false
-    whitelist:
-      - ::1
-      - 127.0.0.1
-    whitelistDockerHosts: false
-    basicAuthMode: false
-    basicAuthUser:
-      username: "user"
-      password: "password"
-    enableCorsProxy: false
-    requestProxy:
-      enabled: false
-      url: "socks5://username:password@example.com:1080"
-      bypass:
-        - localhost
-        - 127.0.0.1
-    enableUserAccounts: false
-    enableDiscreetLogin: false
-    perUserBasicAuth: false
-    sso:
-      autheliaAuth: false
-      authentikAuth: false
-    hostWhitelist:
-      enabled: false
-      scan: true
-      hosts: []
-    sessionTimeout: -1
-    disableCsrfProtection: false
-    securityOverride: false
-    logging:
-      enableAccessLog: true
-      minLogLevel: 0
-    rateLimiting:
-      preferRealIpHeader: false
-    backups:
-      common:
-        numberOfBackups: 50
-      chat:
-        enabled: true
-        checkIntegrity: true
-        maxTotalBackups: -1
-        throttleInterval: 10000
-    thumbnails:
-      enabled: true
-      format: "jpg"
-      quality: 95
-      dimensions: { 'bg': [160, 90], 'avatar': [96, 144], 'persona': [96, 144] }
-    performance:
-      lazyLoadCharacters: false
-      memoryCacheCapacity: '100mb'
-      useDiskCache: true
-    cacheBuster:
-      enabled: false
-      userAgentPattern: ''
-    allowKeysExposure: false
-    skipContentCheck: false
-    whitelistImportDomains:
-      - localhost
-      - cdn.discordapp.com
-      - files.catbox.moe
-      - raw.githubusercontent.com
-      - char-archive.evulid.cc
-    requestOverrides: []
-    extensions:
-      enabled: true
-      autoUpdate: true
-      models:
-        autoDownload: true
-        classification: Cohee/distilbert-base-uncased-go-emotions-onnx
-        captioning: Xenova/vit-gpt2-image-captioning
-        embedding: Cohee/jina-embeddings-v2-base-en
-        speechToText: Xenova/whisper-small
-        textToSpeech: Xenova/speecht5_tts
-    enableDownloadableTokenizers: true
-    promptPlaceholder: "[Start a new chat]"
-    openai:
-      randomizeUserId: false
-      captionSystemPrompt: ""
-    deepl:
-      formality: default
-    mistral:
-      enablePrefix: false
-    ollama:
-      keepAlive: -1
-      batchSize: -1
-    claude:
-      enableSystemPromptCache: false
-      cachingAtDepth: -1
-      extendedTTL: false
-    gemini:
-      apiVersion: 'v1beta'
-    enableServerPlugins: false
-    enableServerPluginsAutoUpdate: true

sillytavern/deployment.yaml

@@ -1,61 +0,0 @@
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: sillytavern
-  namespace: sillytavern
-spec:
-  replicas: 1
-  strategy:
-    type: Recreate
-  selector:
-    matchLabels:
-      app: sillytavern
-  template:
-    metadata:
-      labels:
-        app: sillytavern
-    spec:
-      containers:
-        - name: sillytavern
-          image: ghcr.io/sillytavern/sillytavern:latest
-          ports:
-            - containerPort: 8000
-              protocol: TCP
-          env:
-            - name: NODE_ENV
-              value: production
-            - name: FORCE_COLOR
-              value: "1"
-          envFrom:
-            - secretRef:
-                name: sillytavern-auth
-          volumeMounts:
-            - name: config
-              mountPath: /home/node/app/config/config.yaml
-              subPath: config.yaml
-            - name: data
-              mountPath: /home/node/app/data
-            - name: plugins
-              mountPath: /home/node/app/plugins
-            - name: extensions
-              mountPath: /home/node/app/public/scripts/extensions/third-party
-          resources:
-            requests:
-              cpu: "1"
-              memory: 1Gi
-            limits:
-              cpu: "4"
-              memory: 4Gi
-      volumes:
-        - name: config
-          configMap:
-            name: sillytavern-config
-        - name: data
-          persistentVolumeClaim:
-            claimName: sillytavern-data
-        - name: plugins
-          persistentVolumeClaim:
-            claimName: sillytavern-plugins
-        - name: extensions
-          persistentVolumeClaim:
-            claimName: sillytavern-extensions

sillytavern/ingress.yaml

@@ -1,30 +0,0 @@
-apiVersion: networking.k8s.io/v1
-kind: Ingress
-metadata:
-  name: sillytavern
-  namespace: sillytavern
-  labels:
-    app.kubernetes.io/name: sillytavern
-    app.kubernetes.io/component: frontend
-    app.kubernetes.io/part-of: sillytavern
-  annotations:
-    cert-manager.io/cluster-issuer: letsencrypt-production
-    traefik.ingress.kubernetes.io/router.entrypoints: websecure
-    traefik.ingress.kubernetes.io/router.tls: "true"
-spec:
-  ingressClassName: traefik
-  tls:
-    - hosts:
-        - sillytavern.mrt0rtikize.ru
-      secretName: sillytavern-tls
-  rules:
-    - host: sillytavern.mrt0rtikize.ru
-      http:
-        paths:
-          - path: /
-            pathType: Prefix
-            backend:
-              service:
-                name: sillytavern
-                port:
-                  number: 8000

sillytavern/namespace.yaml

@@ -1,4 +0,0 @@
-apiVersion: v1
-kind: Namespace
-metadata:
-  name: sillytavern

sillytavern/pvc.yaml

@@ -1,35 +0,0 @@
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: sillytavern-data
-  namespace: sillytavern
-spec:
-  accessModes:
-    - ReadWriteOnce
-  resources:
-    requests:
-      storage: 5Gi
----
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: sillytavern-plugins
-  namespace: sillytavern
-spec:
-  accessModes:
-    - ReadWriteOnce
-  resources:
-    requests:
-      storage: 1Gi
----
-apiVersion: v1
-kind: PersistentVolumeClaim
-metadata:
-  name: sillytavern-extensions
-  namespace: sillytavern
-spec:
-  accessModes:
-    - ReadWriteOnce
-  resources:
-    requests:
-      storage: 1Gi

sillytavern/secret.yaml

@@ -1,10 +0,0 @@
-apiVersion: v1
-kind: Secret
-metadata:
-  name: sillytavern-auth
-  namespace: sillytavern
-type: Opaque
-stringData:
-  SILLYTAVERN_BASICAUTHMODE: "true"
-  SILLYTAVERN_BASICAUTHUSER_USERNAME: admin
-  SILLYTAVERN_BASICAUTHUSER_PASSWORD: 0cdaa30c396dae77

sillytavern/service.yaml

@@ -1,13 +0,0 @@
-apiVersion: v1
-kind: Service
-metadata:
-  name: sillytavern
-  namespace: sillytavern
-spec:
-  selector:
-    app: sillytavern
-  ports:
-    - port: 8000
-      targetPort: 8000
-      protocol: TCP
-  type: ClusterIP