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* Initial plan * feat: Add Kubernetes deployment configuration and guide Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com> * feat: Add test script and update docker-compose with k8s reference Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com> * doc: add k8s deployment doc in README --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com> Co-authored-by: Junyan Qin <rockchinq@gmail.com>
401 lines
9.3 KiB
YAML
401 lines
9.3 KiB
YAML
# Kubernetes Deployment for LangBot
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# This file provides Kubernetes deployment manifests for LangBot based on docker-compose.yaml
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#
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# Usage:
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# kubectl apply -f kubernetes.yaml
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#
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# Prerequisites:
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# - A Kubernetes cluster (1.19+)
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# - kubectl configured to communicate with your cluster
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# - (Optional) A StorageClass for dynamic volume provisioning
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#
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# Components:
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# - Namespace: langbot
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# - PersistentVolumeClaims for data persistence
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# - Deployments for langbot and langbot_plugin_runtime
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# - Services for network access
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# - ConfigMap for timezone configuration
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---
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# Namespace
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apiVersion: v1
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kind: Namespace
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metadata:
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name: langbot
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labels:
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app: langbot
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---
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# PersistentVolumeClaim for LangBot data
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: langbot-data
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namespace: langbot
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spec:
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accessModes:
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- ReadWriteOnce
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resources:
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requests:
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storage: 10Gi
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# Uncomment and modify if you have a specific StorageClass
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# storageClassName: your-storage-class
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---
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# PersistentVolumeClaim for LangBot plugins
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: langbot-plugins
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namespace: langbot
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spec:
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accessModes:
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- ReadWriteOnce
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resources:
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requests:
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storage: 5Gi
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# Uncomment and modify if you have a specific StorageClass
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# storageClassName: your-storage-class
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---
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# PersistentVolumeClaim for Plugin Runtime data
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: langbot-plugin-runtime-data
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namespace: langbot
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spec:
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accessModes:
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- ReadWriteOnce
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resources:
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requests:
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storage: 5Gi
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# Uncomment and modify if you have a specific StorageClass
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# storageClassName: your-storage-class
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---
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# ConfigMap for environment configuration
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apiVersion: v1
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kind: ConfigMap
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metadata:
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name: langbot-config
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namespace: langbot
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data:
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TZ: "Asia/Shanghai"
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PLUGIN__RUNTIME_WS_URL: "ws://langbot-plugin-runtime:5400/control/ws"
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---
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# Deployment for LangBot Plugin Runtime
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: langbot-plugin-runtime
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namespace: langbot
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labels:
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app: langbot-plugin-runtime
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: langbot-plugin-runtime
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template:
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metadata:
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labels:
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app: langbot-plugin-runtime
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spec:
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containers:
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- name: langbot-plugin-runtime
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image: rockchin/langbot:latest
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imagePullPolicy: Always
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command: ["uv", "run", "-m", "langbot_plugin.cli.__init__", "rt"]
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ports:
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- containerPort: 5400
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name: runtime
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protocol: TCP
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env:
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- name: TZ
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valueFrom:
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configMapKeyRef:
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name: langbot-config
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key: TZ
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volumeMounts:
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- name: plugin-data
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mountPath: /app/data/plugins
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resources:
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requests:
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memory: "512Mi"
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cpu: "250m"
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limits:
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memory: "2Gi"
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cpu: "1000m"
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# Liveness probe to restart container if it becomes unresponsive
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livenessProbe:
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tcpSocket:
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port: 5400
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initialDelaySeconds: 30
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periodSeconds: 10
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timeoutSeconds: 5
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failureThreshold: 3
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# Readiness probe to know when container is ready to accept traffic
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readinessProbe:
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tcpSocket:
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port: 5400
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initialDelaySeconds: 10
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periodSeconds: 5
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timeoutSeconds: 3
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failureThreshold: 3
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volumes:
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- name: plugin-data
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persistentVolumeClaim:
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claimName: langbot-plugin-runtime-data
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restartPolicy: Always
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---
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# Service for LangBot Plugin Runtime
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apiVersion: v1
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kind: Service
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metadata:
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name: langbot-plugin-runtime
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namespace: langbot
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labels:
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app: langbot-plugin-runtime
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spec:
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type: ClusterIP
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selector:
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app: langbot-plugin-runtime
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ports:
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- port: 5400
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targetPort: 5400
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protocol: TCP
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name: runtime
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---
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# Deployment for LangBot
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: langbot
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namespace: langbot
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labels:
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app: langbot
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: langbot
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template:
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metadata:
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labels:
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app: langbot
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spec:
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containers:
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- name: langbot
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image: rockchin/langbot:latest
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imagePullPolicy: Always
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ports:
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- containerPort: 5300
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name: web
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protocol: TCP
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- containerPort: 2280
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name: webhook-start
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protocol: TCP
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# Note: Kubernetes doesn't support port ranges directly in container ports
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# The webhook ports 2280-2290 are available, but we only expose the start of the range
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# If you need all ports exposed, consider using a Service with multiple port definitions
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env:
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- name: TZ
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valueFrom:
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configMapKeyRef:
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name: langbot-config
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key: TZ
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- name: PLUGIN__RUNTIME_WS_URL
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valueFrom:
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configMapKeyRef:
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name: langbot-config
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key: PLUGIN__RUNTIME_WS_URL
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volumeMounts:
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- name: data
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mountPath: /app/data
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- name: plugins
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mountPath: /app/plugins
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resources:
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requests:
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memory: "1Gi"
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cpu: "500m"
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limits:
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memory: "4Gi"
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cpu: "2000m"
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# Liveness probe to restart container if it becomes unresponsive
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livenessProbe:
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httpGet:
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path: /
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port: 5300
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initialDelaySeconds: 60
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periodSeconds: 10
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timeoutSeconds: 5
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failureThreshold: 3
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# Readiness probe to know when container is ready to accept traffic
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readinessProbe:
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httpGet:
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path: /
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port: 5300
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initialDelaySeconds: 30
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periodSeconds: 5
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timeoutSeconds: 3
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failureThreshold: 3
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volumes:
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- name: data
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persistentVolumeClaim:
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claimName: langbot-data
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- name: plugins
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persistentVolumeClaim:
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claimName: langbot-plugins
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restartPolicy: Always
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---
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# Service for LangBot (ClusterIP for internal access)
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apiVersion: v1
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kind: Service
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metadata:
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name: langbot
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namespace: langbot
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labels:
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app: langbot
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spec:
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type: ClusterIP
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selector:
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app: langbot
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ports:
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- port: 5300
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targetPort: 5300
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protocol: TCP
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name: web
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- port: 2280
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targetPort: 2280
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protocol: TCP
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name: webhook-2280
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- port: 2281
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targetPort: 2281
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protocol: TCP
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name: webhook-2281
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- port: 2282
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targetPort: 2282
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protocol: TCP
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name: webhook-2282
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- port: 2283
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targetPort: 2283
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protocol: TCP
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name: webhook-2283
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- port: 2284
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targetPort: 2284
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protocol: TCP
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name: webhook-2284
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- port: 2285
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targetPort: 2285
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protocol: TCP
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name: webhook-2285
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- port: 2286
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targetPort: 2286
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protocol: TCP
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name: webhook-2286
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- port: 2287
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targetPort: 2287
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protocol: TCP
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name: webhook-2287
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- port: 2288
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targetPort: 2288
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protocol: TCP
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name: webhook-2288
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- port: 2289
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targetPort: 2289
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protocol: TCP
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name: webhook-2289
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- port: 2290
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targetPort: 2290
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protocol: TCP
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name: webhook-2290
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---
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# Ingress for external access (Optional - requires Ingress Controller)
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# Uncomment and modify the following section if you want to expose LangBot via Ingress
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# apiVersion: networking.k8s.io/v1
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# kind: Ingress
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# metadata:
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# name: langbot-ingress
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# namespace: langbot
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# annotations:
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# # Uncomment and modify based on your ingress controller
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# # nginx.ingress.kubernetes.io/rewrite-target: /
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# # cert-manager.io/cluster-issuer: letsencrypt-prod
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# spec:
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# ingressClassName: nginx # Change based on your ingress controller
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# rules:
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# - host: langbot.yourdomain.com # Change to your domain
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# http:
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# paths:
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# - path: /
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# pathType: Prefix
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# backend:
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# service:
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# name: langbot
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# port:
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# number: 5300
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# # Uncomment for TLS/HTTPS
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# # tls:
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# # - hosts:
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# # - langbot.yourdomain.com
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# # secretName: langbot-tls
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---
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# Service for LangBot with LoadBalancer (Alternative to Ingress)
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# Uncomment the following if you want to expose LangBot directly via LoadBalancer
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# This is useful in cloud environments (AWS, GCP, Azure, etc.)
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# apiVersion: v1
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# kind: Service
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# metadata:
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# name: langbot-loadbalancer
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# namespace: langbot
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# labels:
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# app: langbot
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# spec:
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# type: LoadBalancer
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# selector:
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# app: langbot
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# ports:
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# - port: 80
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# targetPort: 5300
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# protocol: TCP
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# name: web
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# - port: 2280
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# targetPort: 2280
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# protocol: TCP
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# name: webhook-start
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# # Add more webhook ports as needed
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---
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# Service for LangBot with NodePort (Alternative for exposing service)
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# Uncomment if you want to expose LangBot via NodePort
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# This is useful for testing or when LoadBalancer is not available
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# apiVersion: v1
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# kind: Service
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# metadata:
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# name: langbot-nodeport
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# namespace: langbot
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# labels:
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# app: langbot
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# spec:
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# type: NodePort
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# selector:
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# app: langbot
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# ports:
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# - port: 5300
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# targetPort: 5300
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# nodePort: 30300 # Must be in range 30000-32767
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# protocol: TCP
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# name: web
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# - port: 2280
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# targetPort: 2280
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# nodePort: 30280 # Must be in range 30000-32767
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# protocol: TCP
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# name: webhook
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