# Default values for librechat. # This is a YAML-formatted file. # Declare variables to be passed into your templates. replicaCount: 1 global: # 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 # For better maintainabillity, you can put all vars directly in the config Section and only overwrite Secrets with this if nessesary. # Required Values: # - MEILI_MASTER_KEY librechat: existingSecretName: "librechat-credentials-env" # Used for Setting the Right Key, can be something like AZURE_API_KEY, if Azure OpenAI is used existingSecretApiKey: OPENAI_API_KEY librechat: configEnv: 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 DEBUG_PLUGINS: "true" # IMPORTANT -- GENERATE your own: openssl rand -hex 32 and openssl rand -hex 16 for CREDS_IV. Best Practise: Put into Secret. See gloobal.librechat.existingSecretName CREDS_KEY: 9e95d9894da7e68dd69c0046caf5343c8b1e80c89609b5a1e40e6568b5b23ce6 CREDS_IV: ac028c86ba23f4cd48165e0ca9f2c683 JWT_SECRET: 16f8c0ef4a5d391b26034086c628469d3f9f497f08163ab9b40137092f2909ef JWT_REFRESH_SECRET: eaa5191f2914e30b9387fd84e254e4ba6fc51b4654968a9b0803b456a54b8418 # Set Config Params here # ENV_NAME: env-value # 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 # For better maintainabillity, you can put all vars directly in the config Section and only overwrite Secrets with this if nessesary. # Required Values: # - MEILI_MASTER_KEY existingSecretName: "librechat-credentials-env" # 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 configYamlContent: "" # configYamlContent: | # version: 1.0.8 # cache: true # interface: # # Privacy policy settings # privacyPolicy: # externalUrl: 'https://librechat.ai/privacy-policy' # openNewTab: true # # Terms of service # termsOfService: # externalUrl: 'https://librechat.ai/tos' # openNewTab: true # registration: # socialLogins: ["discord", "facebook", "github", "google", "openid"] # endpoints: # azureOpenAI: # # Endpoint-level configuration # titleModel: "gpt-4o" # plugins: true # assistants: true # groups: # Group-level configuration # - group: "my-resource-sweden" # apiKey: "${SWEDEN_API_KEY}" # instanceName: "my-resource-sweden" # deploymentName: gpt-4-1106-preview # version: "2024-03-01-preview" # assistants: true # # Model-level configuration # models: # gpt-4o: true # custom: # # OpenRouter.ai # - name: "OpenRouter" # apiKey: "${OPENROUTER_KEY}" # baseURL: "https://openrouter.ai/api/v1" # models: # default: ["openai/gpt-3.5-turbo"] # fetch: true # titleConvo: true # titleModel: "gpt-3.5-turbo" # summarize: false # summaryModel: "gpt-3.5-turbo" # forcePrompt: false # modelDisplayLabel: "OpenRouter" # name of existing Yaml configmap, key must be librechat.yaml existingConfigYaml: "" # Volume used to store image Files uploaded to the Web UI imageVolume: enabled: true size: 10G accessModes: ReadWriteOnce # storageClassName: # only lite RAG is supported librechat-rag-api: enabled: false # can be azure, openai, huggingface or huggingfacetei embeddingsProvider: openai image: repository: danny-avila/librechat registry: ghcr.io pullPolicy: IfNotPresent # Overrides the image tag whose default is the chart appVersion. tag: "" imagePullSecrets: [] nameOverride: "" fullnameOverride: "" lifecycle: {} # # base for adding a custom banner // see https://github.com/danny-avila/LibreChat/pull/3952 for an example # postStart: # exec: # command: ["/bin/sh", "-c", "npm run update-banner "] podAnnotations: {} podLabels: {} podSecurityContext: fsGroup: 2000 securityContext: capabilities: drop: - ALL # readOnlyRootFilesystem: true # not supported yet runAsNonRoot: true runAsUser: 1000 service: type: ClusterIP port: 3080 annotations: {} ingress: enabled: true className: "" annotations: {} # kubernetes.io/ingress.class: nginx # kubernetes.io/tls-acme: "true" hosts: - host: chat.example.com paths: - path: / pathType: ImplementationSpecific tls: [] # - secretName: chart-example-tls # hosts: # - chat.example.com resources: {} # We usually recommend not to specify default resources and to leave this as a conscious # choice for the user. This also increases chances charts run on environments with little # resources, such as Minikube. If you do want to specify resources, uncomment the following # lines, adjust them as necessary, and remove the curly braces after 'resources:'. # limits: # cpu: 100m # memory: 128Mi # requests: # cpu: 100m # memory: 128Mi autoscaling: enabled: false minReplicas: 1 maxReplicas: 100 targetCPUUtilizationPercentage: 80 # targetMemoryUtilizationPercentage: 80 livenessProbe: httpGet: path: /health port: http readinessProbe: httpGet: path: /health port: http # Additional volumes on the output Deployment definition. volumes: [] # - name: foo # secret: # secretName: mysecret # optional: false # Additional volumeMounts on the output Deployment definition. volumeMounts: [] # - name: foo # mountPath: "/etc/foo" # readOnly: true nodeSelector: {} tolerations: [] affinity: {} # Strategy for LibreChat deployment updates updateStrategy: type: RollingUpdate # MongoDB Parameters mongodb: enabled: true auth: enabled: false databases: - LibreChat # persistence: # size: 8Gi meilisearch: enabled: true persistence: enabled: true storageClass: "" image: tag: "v1.7.3" auth: # Use an existing Kubernetes secret for the MEILI_MASTER_KEY existingMasterKeySecret: "librechat-credentials-env"