mirror of
https://github.com/danny-avila/LibreChat.git
synced 2025-12-31 15:48:51 +01:00
2153db2f5f
- Update MongoDB chart dependency from v16.3.0 to v16.5.45 - Add explicit containerPort configuration with fallback to service.port - Standardize port references in health probes to use explicit port numbers - Add targetPort and containerPort fields to service configuration - Include service type options as inline comment for better clarity These changes improve the Helm chart's port management flexibility and bring the MongoDB dependency up to date with the latest stable version. Co-authored-by: Jerum Hubbert <jerum.hubbert@scientificgames.com>
247 lines
7.1 KiB
YAML
Executable file
247 lines
7.1 KiB
YAML
Executable file
# Default values for librechat.
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# This is a YAML-formatted file.
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# Declare variables to be passed into your templates.
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replicaCount: 1
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global:
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# existing Secret for all envs/ only Passwords. Can be locally generated with: kubectl create secret generic librechat-secret-envs --from-env-file=.env.example --dry-run=client -o yaml > secret-envs.yaml
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# For better maintainabillity, you can put all vars directly in the config Section and only overwrite Secrets with this if nessesary.
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# Required Values:
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# - MEILI_MASTER_KEY
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librechat:
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existingSecretName: "librechat-credentials-env"
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# Used for Setting the Right Key, can be something like AZURE_API_KEY, if Azure OpenAI is used
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existingSecretApiKey: OPENAI_API_KEY
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librechat:
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configEnv:
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PLUGIN_MODELS: gpt-4,gpt-4-turbo-preview,gpt-4-0125-preview,gpt-4-1106-preview,gpt-4-0613,gpt-3.5-turbo,gpt-3.5-turbo-0125,gpt-3.5-turbo-1106,gpt-3.5-turbo-0613
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DEBUG_PLUGINS: "true"
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# IMPORTANT -- GENERATE your own: openssl rand -hex 32 and openssl rand -hex 16 for CREDS_IV. Best Practise: Put into Secret. See global.librechat.existingSecretName
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CREDS_KEY: 9e95d9894da7e68dd69c0046caf5343c8b1e80c89609b5a1e40e6568b5b23ce6
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CREDS_IV: ac028c86ba23f4cd48165e0ca9f2c683
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JWT_SECRET: 16f8c0ef4a5d391b26034086c628469d3f9f497f08163ab9b40137092f2909ef
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JWT_REFRESH_SECRET: eaa5191f2914e30b9387fd84e254e4ba6fc51b4654968a9b0803b456a54b8418
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# Set Config Params here
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# ENV_NAME: env-value
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# existing Secret for all envs/ only Passwords. Can be locally generated with: kubectl create secret generic librechat-secret-envs --from-env-file=.env.example --dry-run=client -o yaml > secret-envs.yaml
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# For better maintainabillity, you can put all vars directly in the config Section and only overwrite Secrets with this if nessesary.
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# Required Values:
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# - MEILI_MASTER_KEY
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existingSecretName: "librechat-credentials-env"
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# For adding a custom config yaml-file you can set the contents in this var. See https://www.librechat.ai/docs/configuration/librechat_yaml/example
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configYamlContent: ""
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# configYamlContent: |
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# version: 1.0.8
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# cache: true
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# interface:
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# # Privacy policy settings
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# privacyPolicy:
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# externalUrl: 'https://librechat.ai/privacy-policy'
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# openNewTab: true
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# # Terms of service
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# termsOfService:
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# externalUrl: 'https://librechat.ai/tos'
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# openNewTab: true
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# registration:
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# socialLogins: ["discord", "facebook", "github", "google", "openid"]
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# endpoints:
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# azureOpenAI:
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# # Endpoint-level configuration
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# titleModel: "gpt-4o"
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# plugins: true
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# assistants: true
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# groups:
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# Group-level configuration
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# - group: "my-resource-sweden"
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# apiKey: "${SWEDEN_API_KEY}"
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# instanceName: "my-resource-sweden"
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# deploymentName: gpt-4-1106-preview
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# version: "2024-03-01-preview"
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# assistants: true
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# # Model-level configuration
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# models:
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# gpt-4o: true
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# custom:
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# # OpenRouter.ai
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# - name: "OpenRouter"
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# apiKey: "${OPENROUTER_KEY}"
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# baseURL: "https://openrouter.ai/api/v1"
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# models:
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# default: ["openai/gpt-3.5-turbo"]
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# fetch: true
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# titleConvo: true
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# titleModel: "gpt-3.5-turbo"
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# summarize: false
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# summaryModel: "gpt-3.5-turbo"
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# forcePrompt: false
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# modelDisplayLabel: "OpenRouter"
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# name of existing Yaml configmap, key must be librechat.yaml
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existingConfigYaml: ""
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# Volume used to store image Files uploaded to the Web UI
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imageVolume:
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enabled: true
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size: 10G
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accessModes: ReadWriteOnce
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# storageClassName:
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# only lite RAG is supported
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librechat-rag-api:
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enabled: false
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# can be azure, openai, huggingface or huggingfacetei
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embeddingsProvider: openai
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image:
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repository: danny-avila/librechat
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registry: ghcr.io
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pullPolicy: IfNotPresent
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# Overrides the image tag whose default is the chart appVersion.
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tag: ""
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imagePullSecrets: []
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nameOverride: ""
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fullnameOverride: ""
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# This section builds out the service account more information can be found here: https://kubernetes.io/docs/concepts/security/service-accounts/
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serviceAccount:
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# Specifies whether a service account should be created
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create: true
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# Automatically mount a ServiceAccount's API credentials?
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automount: true
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# Annotations to add to the service account
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annotations: {}
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# The name of the service account to use.
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# If not set and create is true, a name is generated using the fullname template
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name: ""
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lifecycle: {}
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# # base for adding a custom banner // see https://github.com/danny-avila/LibreChat/pull/3952 for an example
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# postStart:
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# exec:
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# command: ["/bin/sh", "-c", "npm run update-banner <displayFrom(Format: yyyy-mm-ddTHH:MM:SSZ)> <displayTo(Format: yyyy-mm-ddTHH:MM:SSZ)> <message> <isPublic(true/false)>"]
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podAnnotations: {}
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podLabels: {}
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podSecurityContext:
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fsGroup: 2000
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securityContext:
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capabilities:
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drop:
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- ALL
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# readOnlyRootFilesystem: true # not supported yet
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runAsNonRoot: true
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runAsUser: 1000
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service:
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type: ClusterIP # LoadBalancer, NodePort, ClusterIP
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port: 3080
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targetPort: 3080
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containerPort: 3080
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annotations: {}
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ingress:
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enabled: true
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className: ""
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annotations: {}
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# kubernetes.io/ingress.class: nginx
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# kubernetes.io/tls-acme: "true"
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hosts:
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- host: chat.example.com
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paths:
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- path: /
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pathType: ImplementationSpecific
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tls: []
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# - secretName: chart-example-tls
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# hosts:
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# - chat.example.com
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resources: {}
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# We usually recommend not to specify default resources and to leave this as a conscious
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# choice for the user. This also increases chances charts run on environments with little
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# resources, such as Minikube. If you do want to specify resources, uncomment the following
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# lines, adjust them as necessary, and remove the curly braces after 'resources:'.
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# limits:
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# cpu: 100m
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# memory: 128Mi
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# requests:
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# cpu: 100m
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# memory: 128Mi
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autoscaling:
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enabled: false
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minReplicas: 1
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maxReplicas: 100
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targetCPUUtilizationPercentage: 80
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# targetMemoryUtilizationPercentage: 80
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livenessProbe:
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httpGet:
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path: /health
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port: 3080
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readinessProbe:
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httpGet:
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path: /health
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port: 3080
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# Additional volumes on the output Deployment definition.
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volumes: []
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# - name: foo
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# secret:
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# secretName: mysecret
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# optional: false
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# Additional volumeMounts on the output Deployment definition.
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volumeMounts: []
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# - name: foo
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# mountPath: "/etc/foo"
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# readOnly: true
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nodeSelector: {}
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tolerations: []
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affinity: {}
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# Strategy for LibreChat deployment updates
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updateStrategy:
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type: RollingUpdate
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# MongoDB Parameters
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mongodb:
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enabled: true
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auth:
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enabled: false
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databases:
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- LibreChat
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# persistence:
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# size: 8Gi
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meilisearch:
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enabled: true
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persistence:
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enabled: true
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storageClass: ""
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image:
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tag: "v1.7.3"
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auth:
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# Use an existing Kubernetes secret for the MEILI_MASTER_KEY
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existingMasterKeySecret: "librechat-credentials-env"
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