Rasa deployement via helm

Hi , i am currently deploying my bot via helm with rasa-x , i have configured the values.yaml file and installed it but i have no access to my bot . i have tried http://my-ip:8000 or trying the cluster ip but nothing, and i want it to be accessible for other and the only way that i have to access it is to forward the port 5002 kubectl --namespace sante port-forward svc/sante-release-rasa-x-rasa-x 5002:5002 here is my configuration

# Default values for rasa-x.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.

# rasax specific settings
rasax:
  # override the default command to run in the container
  command: []
  # override the default arguments to run in the container
  args: []
  # name of the Rasa Enterprise image to use
  name: "rasa/rasa-x"  # gcr.io/rasa-platform/rasa-x-ee
  # tag refers to the Rasa Enterprise image tag (uses `appVersion` by default)
  tag: "1.1.3"
  # port on which Rasa Enterprise runs
  port: 5002
  # scheme by which Rasa Enterprise is accessible
  scheme: http
  # passwordSalt Rasa Enterprise uses to salt the user passwords
  passwordSalt: "passwordSalt"
  # token Rasa Enterprise accepts as authentication token from other Rasa services
  token: "rasaXToken"
  # jwtSecret which is used to sign the jwtTokens of the users
  jwtSecret: "jwtSecret"
  # databaseName Rasa Enterprise uses to store data
  # (uses the value of global.postgresql.postgresqlDatabase by default)
  databaseName: ""
  # disableTelemetry permanently disables telemetry
  disableTelemetry: false
  # Jaeger Sidecar
  jaegerSidecar: "false"
  # initialUser is the user which is created upon the initial start of Rasa Enterprise
  initialUser:
    # username specifies a name of this user
    username: "admin"
    # password for this user (leave it empty to skip the user creation)
    password: "Passer123"
  ## Enable persistence using Persistent Volume Claims
  ## ref: http://kubernetes.io/docs/user-guide/persistent-volumes/
  ##
  persistence:
    # access Modes of the pvc
    accessModes:
    - ReadWriteOnce
    # size of the Rasa Enterprise volume claim
    size: 10Gi
    # annotations for the Rasa Enterprise pvc
    annotations: {}
    # finalizers for the pvc
    finalizers:
    - kubernetes.io/pvc-protection
    # existingClaim which should be used instead of a new one
    existingClaim: ""
  # livenessProbe checks whether Rasa Enterprise needs to be restarted
  livenessProbe:
    enabled: true
    # initialProbeDelay for the `livenessProbe`
    initialProbeDelay: 10
    # scheme to be used by the `livenessProbe`
    scheme: "HTTP"
  # readinessProbe checks whether rasa Enterprise can receive traffic
  readinessProbe:
    enabled: true
    # initialProbeDelay for the `readinessProbe`
    initialProbeDelay: 10
    # scheme to be used by the `readinessProbe`
    scheme: "HTTP"
  # resources which Rasa Enterprise is required / allowed to use
  resources: {}
  # extraEnvs are environment variables which can be added to the Rasa Enterprise deployment
  extraEnvs: []
  # - name: SOME_CUSTOM_ENV_VAR
  #   value: "custom value"

  # additional volumeMounts to the main container
  extraVolumeMounts: []
  # - name: tmpdir
  #   mountPath: /var/lib/mypath

  # additional volumes to the pod
  extraVolumes: []
  # - name: tmpdir
  #   emptyDir: {}

  # tolerations can be used to control the pod to node assignment
  # https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  tolerations: []
    # - key: "nvidia.com/gpu"
    #   operator: "Exists"

  # nodeSelector to specify which node the pods should run on
  # https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
  nodeSelector: {}
    # "beta.kubernetes.io/instance-type": "g3.8xlarge"

  # automountServiceAccountToken specifies whether the Kubernetes service account
  # credentials should be automatically mounted into the pods. See more about it in
  # https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/#use-the-default-service-account-to-access-the-api-server
  automountServiceAccountToken: false

  # service specifies settings for exposing Rasa Enterprise to other services
  service:
    # annotations for the service
    annotations: {}
    # type sets type of the service
    type: "LoadBalancer"

  # podLabels adds additional pod labels
  # https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  podLabels: {}

  # hostNetwork controls whether the pod may use the node network namespace
  hostNetwork: false

  # dnsPolicy specifies Pod's DNS policy
  # ref: https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-s-dns-policy
  dnsPolicy: ""

  # hostAliases defines additional entries to the hosts file.
  # ref: https://kubernetes.io/docs/tasks/network/customize-hosts-file-for-pods/#adding-additional-entries-with-hostaliases
  hostAliases: []

  # overrideHost overrides values of the RASA_X_HOST variable defined for the deployment
  overrideHost: ""

# rasa: Settings common for all Rasa containers
# deprecated: the Rasa OSS deployment is deprecated and will be removed in the feature
# from this chart.
# It's recommended to use the rasa helm chart instead.
# see: https://github.com/RasaHQ/helm-charts/tree/main/charts/rasa#quick-start
rasa:
  # version is the Rasa Open Source version which should be used.
  # Used to ensure backward compatibility with older Rasa Open Source versions.
  version: "3.1.2"  # Please update the default value in the Readme when updating this
  # disableTelemetry permanently disables telemetry
  disableTelemetry: false
  # override the default command to run in the container
  command: []
  # override the default arguments to run in the container
  args: []
  # add extra arguments to the command in the container
  extraArgs: []
  # name of the Rasa image to use
  name: "rasa/rasa"
  # tag refers to the Rasa image tag. If empty `.Values.rasa.version-full` is used.
  tag: "3.1.2"
  # port on which Rasa runs
  port: 5005
  # scheme by which Rasa services are accessible
  scheme: http
  # token Rasa accepts as authentication token from other Rasa services
  token: "rasaToken"
  # rabbitQueue it should use to dispatch events to Rasa Enterprise
  rabbitQueue: "rasa_production_events"
  # Optional additional rabbit queues for e.g. connecting to an analytics stack
  additionalRabbitQueues: []
  # additionalChannelCredentials which should be used by Rasa to connect to various
  # input channels
  additionalChannelCredentials: {}
    # rest:
    # facebook:
    #   verify: "rasa-bot"
    #   secret: "3e34709d01ea89032asdebfe5a74518"
    #   page-access-token: "EAAbHPa7H9rEBAAuFk4Q3gPKbDedQnx4djJJ1JmQ7CAqO4iJKrQcNT0wtD"
  # input channels
  additionalEndpoints: {}
    # telemetry:
    #   type: jaeger
    #   service_name: rasa
  trackerStore:
    # optional dictionary to be added as a query string to the connection URL
    query: {}
    #  driver: my-driver
    #  sslmode: require
  # Jaeger Sidecar
  jaegerSidecar: "false"
  livenessProbe:
    enabled: true
    # initialProbeDelay for the `livenessProbe`
    initialProbeDelay: 10
    # scheme to be used by the `livenessProbe`
    scheme: "HTTP"
  # useLoginDatabase will use the Rasa Enterprise database to log in and create the database
  # for the tracker store. If `false` the tracker store database must have been created
  # previously.
  useLoginDatabase: true
  # lockStoreDatabase is the database in redis which Rasa uses to store the conversation locks
  lockStoreDatabase: "1"
  # cacheDatabase is the database in redis which Rasa Enterprise uses to store cached values
  cacheDatabase: "2"
  # extraEnvs are environment variables which can be added to the Rasa deployment
  extraEnvs: []
    # example which sets env variables in each Rasa Open Source service from a separate k8s secret
    # - name: "TWILIO_ACCOUNT_SID"
    #   valueFrom:
    #     secretKeyRef:
    #       name: twilio-auth
    #       key: twilio_account_sid
    # - name: TWILIO_AUTH_TOKEN
    #   valueFrom:
    #     secretKeyRef:
    #       name: twilio-auth
    #       key: twilio_auth_token

  # tolerations can be used to control the pod to node assignment
  # https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  tolerations: []
    # - key: "nvidia.com/gpu"
    #   operator: "Exists"

  # automountServiceAccountToken specifies whether the Kubernetes service account
  # credentials should be automatically mounted into the pods. See more about it in
  # https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/#use-the-default-service-account-to-access-the-api-server
  automountServiceAccountToken: false

  # podLabels adds additional pod labels
  # https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  podLabels: {}

  # versions of the Rasa container which are running
  versions:
    # rasaProduction is the container which serves the production environment
    rasaProduction:

      # enable the rasa-production deployment
      # You can disable the rasa-production deployment in order to use external Rasa OSS deployment instead.
      enabled: false

      # Define if external Rasa OSS should be used.
      external:
        # enable external Rasa OSS
        enabled: false

        # url of external Rasa OSS deployment
        url: "http://rasa-bot"

      # nodeSelector to specify which node the pods should run on
      # https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
      nodeSelector: {}
        # "beta.kubernetes.io/instance-type": "g3.8xlarge"
      # replicaCount of the Rasa Production container
      replicaCount: 1
      # serviceName with which the Rasa production deployment is exposed to other containers
      serviceName: "rasa-production"
      # service specifies settings for exposing rasa production to other services
      service:
        # annotations for the service
        annotations: {}
      # modelTag of the model Rasa should pull from the the model server
      modelTag: "production"
      # trackerDatabase it should use to to store conversation trackers
      trackerDatabase: "tracker"
      # rasaEnvironment it used to indicate the origin of events published to RabbitMQ (App ID message property)
      rasaEnvironment: "production"
      # resources which rasaProduction is required / allowed to use
      resources: {}
      # additional volumeMounts to the main container
      extraVolumeMounts: []
      # - name: tmpdir
      #   mountPath: /var/lib/mypath

      # additional volumes to the pod
      extraVolumes: []
      # - name: tmpdir
      #   emptyDir: {}
    # rasaWorker is the container which does computational heavy tasks such as training
    rasaWorker:
      # enable the rasa-worker deployment
      # You can disable the rasa-worker deployment in order to use external Rasa OSS deployment instead.
      enabled: true

      # Define if external Rasa OSS should be used.
      external:
        # enable external Rasa OSS
        enabled: false

        # url of external Rasa OSS deployment
        url: "http://rasa-worker"

      # nodeSelector to specify which node the pods should run on
      # https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
      nodeSelector: {}
        # "beta.kubernetes.io/instance-type": "g3.8xlarge"
      # replicaCount of the Rasa worker container
      replicaCount: 1
      # serviceName with which the Rasa worker deployment is exposed to other containers
      serviceName: "rasa-worker"
      # service specifies settings for exposing rasa worker to other services
      service:
        # annotations for the service
        annotations: {}
      # modelTag of the model Rasa should pull from the the model server
      modelTag: "production"
      # trackerDatabase it should use to to store conversation trackers
      trackerDatabase: "worker_tracker"
      # rasaEnvironment it used to indicate the origin of events published to RabbitMQ (App ID message property)
      rasaEnvironment: "worker"
      # resources which rasaWorker is required / allowed to use
      resources: {}
      # additional volumeMounts to the main container
      extraVolumeMounts: []
      # - name: tmpdir
      #   mountPath: /var/lib/mypath

      # additional volumes to the pod
      extraVolumes: []
      # - name: tmpdir
      #   emptyDir: {}


# dbMigrationService specifies settings for the database migration service
# The database migration service requires Rasa Enterprise >= 0.33.0
dbMigrationService:
  # initContainer describes settings related to the init-db container used as a init container for deployments
  initContainer:
    # command overrides the default command to run in the init container
    command: []
    # resources which initContainer is required / allowed to use
    resources: {}
  # command overrides the default command to run in the container
  command: []
  # args overrides the default arguments to run in the container
  args: []
  # name is the Docker image name which is used by the migration service (uses `rasax.name` by default)
  name: ""  # gcr.io/rasa-platform/rasa-x-ee
  # tag refers to the Rasa Enterprise image tag (uses `appVersion` by default)
  tag: ""
  # ignoreVersionCheck defines if check required minimum Rasa Enterprise version that is required to run the service
  ignoreVersionCheck: false
  # port on which which to run the readiness endpoint
  port: 8000

  # tolerations can be used to control the pod to node assignment
  # https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  tolerations: []
    # - key: "nvidia.com/gpu"
    #   operator: "Exists"

  # nodeSelector to specify which node the pods should run on
  # https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
  nodeSelector: {}
    # "beta.kubernetes.io/instance-type": "g3.8xlarge"

  # resources which the event service is required / allowed to use
  resources: {}
  # extraEnvs are environment variables which can be added to the dbMigrationService deployment
  extraEnvs: []
  # - name: SOME_CUSTOM_ENV_VAR
  #   value: "custom value"

  # extraVolumeMounts defines additional volumeMounts to the main container
  extraVolumeMounts: []
  # - name: tmpdir
  #   mountPath: /var/lib/mypath

  # extraVolumes defines additional volumes to the pod
  extraVolumes: []
  # - name: tmpdir
  #   emptyDir: {}

  # automountServiceAccountToken specifies whether the Kubernetes service account
  # credentials should be automatically mounted into the pods. See more about it in
  # https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/#use-the-default-service-account-to-access-the-api-server
  automountServiceAccountToken: false

  # service specifies settings for exposing the db migration service to other services
  service:
    # annotations for the service
    annotations: {}

  livenessProbe:
    enabled: true
    # initialProbeDelay for the `livenessProbe`
    initialProbeDelay: 10
    # scheme to be used by the `livenessProbe`
    scheme: "HTTP"
  # readinessProbe checks whether Rasa Enterprise can receive traffic
  readinessProbe:
    enabled: true
    # initialProbeDelay for the `readinessProbe`
    initialProbeDelay: 10
    # scheme to be used by the `readinessProbe`
    scheme: "HTTP"

  # podLabels adds additional pod labels
  # https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  podLabels: {}

# event-service specific settings
eventService:
  # override the default command to run in the container
  command: []
  # override the default arguments to run in the container
  args: []
  # event service just uses the Rasa Enterprise image
  name: "rasa/rasa-x"  # gcr.io/rasa-platform/rasa-x-ee
  # tag refers to the Rasa Enterprise image tag (uses `appVersion` by default)
  tag: ""
  # port on which which to run the readiness endpoint
  port: 5673
  # replicaCount of the event-service container
  replicaCount: 1
  # databaseName the event service uses to store data
  databaseName: "rasa"

  # tolerations can be used to control the pod to node assignment
  # https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  tolerations: []
    # - key: "nvidia.com/gpu"
    #   operator: "Exists"

  # nodeSelector to specify which node the pods should run on
  # https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
  nodeSelector: {}
    # "beta.kubernetes.io/instance-type": "g3.8xlarge"

  # resources which the event service is required / allowed to use
  resources: {}
  # extraEnvs are environment variables which can be added to the eventService deployment
  extraEnvs: []
  # - name: SOME_CUSTOM_ENV_VAR
  #   value: "custom value"

  # additional volumeMounts to the main container
  extraVolumeMounts: []
  # - name: tmpdir
  #   mountPath: /var/lib/mypath

  # additional volumes to the pod
  extraVolumes: []
  # - name: tmpdir
  #   emptyDir: {}

  # livenessProbe checks whether the event service needs to be restarted
  livenessProbe:
    enabled: true
    # initialProbeDelay for the `livenessProbe`
    initialProbeDelay: 10
    scheme: "HTTP"
  # readinessProbe checks whether the event service can receive traffic
  readinessProbe:
    enabled: true
    # initialProbeDelay for the `readinessProbe`
    initialProbeDelay: 10
    scheme: "HTTP"
  # automountServiceAccountToken specifies whether the Kubernetes service account
  # credentials should be automatically mounted into the pods. See more about it in
  # https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/#use-the-default-service-account-to-access-the-api-server
  automountServiceAccountToken: false

  # podLabels adds additional pod labels
  # https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  podLabels: {}

# app (custom action server) specific settings
app:
  # default is to install action server from image.
  install: true
  # if install is set to false, the url to the existing action server can be configured by setting existingUrl.
  # #existingUrl: http://myactionserver:5055/webhook
  #
  # override the default command to run in the container
  command: []
  # override the default arguments to run in the container
  args: []
  # name of the custom action server image to use
  name: "rasa/rasa-x-demo"
  # tag refers to the custom action server image tag
  tag: "0.38.0"
  # replicaCount of the custom action server container
  replicaCount: 1
  # port on which the custom action server runs
  port: 5055
  # scheme by which custom action server is accessible
  scheme: http
  # resources which app is required / allowed to use
  resources: {}
  # Jaeger Sidecar
  jaegerSidecar: "false"
  # extraEnvs are environment variables which can be added to the app deployment
  extraEnvs: []
  #  - name: DATABASE_URL
  #    valueFrom:
  #      secretKeyRef:
  #        name: app-secret
  #        key: database_url

  # tolerations can be used to control the pod to node assignment
  # https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  tolerations: []
    # - key: "nvidia.com/gpu"
    #   operator: "Exists"

  # nodeSelector to specify which node the pods should run on
  # https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
  nodeSelector: {}
    # "beta.kubernetes.io/instance-type": "g3.8xlarge"

  # endpoints specifies the webhook and health check url paths of the action server app
  endpoints:
    # actionEndpointUrl is the URL which Rasa Open Source calls to execute custom actions
    actionEndpointUrl: /webhook
    # healthCheckURL is the URL which is used to check the pod health status
    healthCheckUrl: /health

  # additional volumeMounts to the main container
  extraVolumeMounts: []
  # - name: tmpdir
  #   mountPath: /var/lib/mypath

  # additional volumes to the pod
  extraVolumes: []
  # - name: tmpdir
  #   emptyDir: {}

  # automountServiceAccountToken specifies whether the Kubernetes service account
  # credentials should be automatically mounted into the pods. See more about it in
  # https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/#use-the-default-service-account-to-access-the-api-server
  automountServiceAccountToken: true

  # service specifies settings for exposing app to other services
  service:
    # annotations for the service
    annotations: {}

  # livenessProbe checks whether app needs to be restarted
  livenessProbe:
    enabled: true
    # initialProbeDelay for the `livenessProbe`
    initialProbeDelay: 10
    # scheme to be used by the `livenessProbe`
    scheme: "HTTP"
  # readinessProbe checks whether app can receive traffic
  readinessProbe:
    enabled: true
    # initialProbeDelay for the `readinessProbe`
    initialProbeDelay: 10
    # scheme to be used by the `readinessProbe`
    scheme: "HTTP"

  # podLabels adds additional pod labels
  # https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  podLabels: {}

# nginx specific settings
nginx:
  # enabled should be `true` if you want to use nginx
  # if you set false, you will need to set up some other method of routing (VirtualService/Ingress controller)
  enabled: true
  # subPath defines the subpath used by Rasa Enterprise (ROOT_URL), e.g /rasa-x
  subPath: ""
  # override the default command to run in the container
  command: []
  # override the default arguments to run in the container
  args: []
  # name of the nginx image to use
  name: "nginx"
  # tag refers to the nginx image tag (uses `appVersion` by default)
  tag: "1.19"
  # custom config map containing nginx.conf, ssl.conf.template, rasax.nginx.template
  customConfConfigMap: ""
  # replicaCount of nginx containers to run
  replicaCount: 1
  # certificateSecret which nginx uses to mount the certificate files
  certificateSecret: ""
  # service which is to expose nginx
  service:
    # annotations for the service
    annotations: {}
    # type of the service (https://kubernetes.io/docs/concepts/services-networking/service/#publishing-services-service-types)
    type: LoadBalancer
    # loadBalancerSourceRange for AWS deployments (https://kubernetes.io/docs/concepts/services-networking/service/#aws-nlb-support)
    loadBalancerSourceRanges: []
    # port is the port which the nginx service exposes for HTTP connections
    port: 8000
    # nodePort can be used with a service of type `NodePort` to expose the service on a certain port of the node (https://kubernetes.io/docs/concepts/services-networking/service/#nodeport)
    nodePort: ""
    # externalIPs can be used to expose the service to certain IPs (https://kubernetes.io/docs/concepts/services-networking/service/#external-ips)
    externalIPs: []
  livenessProbe:
    enabled: true
    # command for the `livenessProbe`
    command: []
    # initialProbeDelay for the `livenessProbe`
    initialProbeDelay: 10
  # readinessProbe checks whether Rasa Enterprise can receive traffic
  readinessProbe:
    enabled: true
    # command for the `readinessProbe`
    command: []
    # initialProbeDelay for the `readinessProbe`
    initialProbeDelay: 10

  # tolerations can be used to control the pod to node assignment
  # https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  tolerations: []
    # - key: "nvidia.com/gpu"
    #   operator: "Exists"

  # nodeSelector to specify which node the pods should run on
  # https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
  nodeSelector: {}
    # "beta.kubernetes.io/instance-type": "g3.8xlarge"

  # resources which nginx is required / allowed to use
  resources: {}

  # additional volumeMounts to the main container
  extraVolumeMounts: []
  # - name: tmpdir
  #   mountPath: /var/lib/mypath

  # additional volumes to the pod
  extraVolumes: []
  # - name: tmpdir
  #   emptyDir: {}

  # automountServiceAccountToken specifies whether the Kubernetes service account
  # credentials should be automatically mounted into the pods. See more about it in
  # https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/#use-the-default-service-account-to-access-the-api-server
  automountServiceAccountToken: false

  # podLabels adds additional pod labels
  # https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  podLabels: {}

# Duckling specific settings
duckling:
  # override the default command to run in the container
  command: []
  # override the default arguments to run in the container
  args: []
  # Enable or disable duckling
  enabled: true
  # name of the Duckling image to use
  name: "rasa/duckling"
  # tag refers to the duckling image tag
  tag: "0.1.6.3"
  # replicaCount of duckling containers to run
  replicaCount: 1
  # port on which duckling should run
  port: 8000
  # scheme by which duckling is accessible
  scheme: http
  extraEnvs: []
  # tolerations can be used to control the pod to node assignment
  # https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
  tolerations: []
    # - key: "nvidia.com/gpu"
    #   operator: "Exists"

  # nodeSelector to specify which node the pods should run on
  # https://kubernetes.io/docs/concepts/configuration/assign-pod-node/
  nodeSelector: {}
    # "beta.kubernetes.io/instance-type": "g3.8xlarge"

  # resources which duckling is required / allowed to use
  resources: {}

  readinessProbe:
    enabled: true
    # initialProbeDelay for the `readinessProbe`
    initialProbeDelay: 10
    # scheme to be used by the `readinessProbe`
    scheme: "HTTP"
  livenessProbe:
    enabled: true
    # initialProbeDelay for the `livenessProbe`
    initialProbeDelay: 10
    # scheme to be used by the `livenessProbe`
    scheme: "HTTP"
  # additional volumeMounts to the main container
  extraVolumeMounts: []
  # - name: tmpdir
  #   mountPath: /var/lib/mypath

  # additional volumes to the pod
  extraVolumes: []
  # - name: tmpdir
  #   emptyDir: {}

  # automountServiceAccountToken specifies whether the Kubernetes service account
  # credentials should be automatically mounted into the pods. See more about it in
  # https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/#use-the-default-service-account-to-access-the-api-server
  automountServiceAccountToken: false

  # service specifies settings for exposing duckling to other services
  service:
    # annotations for the service
    annotations: {}

  # podLabels adds additional pod labels
  # https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  podLabels: {}

# rasaSecret object which supplies passwords, tokens, etc. See
# https://rasa.com/docs/rasa-x/openshift-kubernetes/#providing-access-credentials-using-an-external-secret
# to see which values are required in the secret in case you want to provide your own.
# If no secret is provided, a secret will be generated.
rasaSecret: ""

# debugMode enables / disables the debug mode for Rasa Open Source and Rasa Enterprise
debugMode: false

# separateEventService value determines whether the eventService will be run as a separate service.
# If set to 'false', Rasa Enterprise will run an event service as a subprocess (not recommended
# high-load setups).
separateEventService: "true"

# separateDBMigrationService value determines whether the dbMigrationService will be run as a separate service.
# If set to 'false', Rasa Enterprise will run a database migration service as a subprocess.
separateDBMigrationService: true

# postgresql specific settings (https://artifacthub.io/packages/helm/bitnami/postgresql/10.15.1)
postgresql:
  # Install should be `true` if the postgres subchart should be used
  install: true
  # postgresqlPostgresPassword is the password when .Values.global.postgresql.postgresqlUsername  does not equal "postgres"
  postgresqlPostgresPassword: ""
  # existingHost is the host which is used when an external postgresql instance is provided (`install: false`)
  existingHost: ""
  # existingSecretKey is the key to get the password when an external postgresql instance is provided (`install: false`)
  existingSecretKey: ""

  image:
    # tag of PostgreSQL Image
    tag: "12.9.0"

  # Configure security context for the postgresql init container
  # volumePermissions:
      ## Init container Security Context
  #   securityContext:
  #     runAsUser: 0

  ## Configure security context for the postgresql pod
  # securityContext:
  #   enabled: true
  #   fsGroup: 1001
  # containerSecurityContext:
  #   enabled: true
  #   runAsUser: 1001

# RabbitMQ specific settings (https://artifacthub.io/packages/helm/bitnami/rabbitmq/8.26.0)
rabbitmq:
  # Install should be `true` if the rabbitmq subchart should be used
  install: true
  # Enabled should be `true` if any version of rabbit is used
  enabled: true

  auth:
    # username which is used for the authentication
    username: "user"
    # password which is used for the authentication
    password: "password"
    # existingPasswordSecret which should be used for the password instead of putting it in the values file
    existingPasswordSecret: ""
  # service specifies settings for exposing rabbit to other services
  service:
    # port on which rabbitmq is exposed to Rasa
    port: 5672
   # existingHost is the host which is used when an external rabbitmq instance is provided (`install: false`)
  existingHost: ""
  # existingPasswordSecretKey is the key to get the password when an external rabbitmq instance is provided (`install: false`)
  existingPasswordSecretKey: ""
  # # security context for the rabbitmq container (please see the documentation of the subchart)
  # podSecurityContext:
  #   enabled: true
  #   fsGroup: 1001
  #   runAsUser: 1001

# redis specific settings (https://artifacthub.io/packages/helm/bitnami/redis/15.7.2)
redis:
  # Install should be `true` if the redis subchart should be used
  install: true
  # if your redis is hosted external switch ('external: true')
  # also switch above to ('install: false')
  # please fill out the auth section below if you use an external hosted redis
  external: false
  # architecture defines an architecture type used for Redis deployment. Allowed values: standalone or replication (Rasa does currently not support redis sentinels)
  # set up a single Redis instance, as `redis-py` does not support clusters (https://github.com/andymccurdy/redis-py#cluster-mode)
  architecture: "standalone"
  master:
    service:
      # port defines Redis master service port
      port: 6379

    # security context for the redis pod (please see the documentation of the subchart)
    #podSecurityContext:
    #  enabled: false
    #  fsGroup: 1001

    # security context for the redis container(please see the documentation of the subchart)
    #containerSecurityContext:
    #  enabled: false
    #  fsGroup: 1001

  # In case you use an external hosted redis, fill these values
  # auth:
  #  # existingSecret which should be used for the password instead of putting it in the values file
  #  existingSecret: "rasax-redis"
  #  # existingSecretPasswordKey is the key to get the password when an external redis instance is provided
  #  existingSecretPasswordKey: "redis-password"
  # existingHost: "redis.extern.host"

  # existingHost is the host which is used when an external redis instance is provided (`install: false`)

  # create the namespace beforehand running the deployment and create the secret via the following commands
  # echo "<REDISPASSWORD>" > ./redis-password
  # kubectl -n rasa create secret generic rasax-redis --from-file=./redis-password

  auth:
    # existingSecret which should be used for the password instead of putting it in the values file
    existingSecret: ""
    # existingSecretPasswordKey is the key to get the password when an external redis instance is provided
    existingSecretPasswordKey: ""
  # existingHost is the host which is used when an external redis instance is provided (`install: false`)
  existingHost: ""

# ingress settings
ingress:
  # enabled should be `true` if you want to use this ingress.
  # Note that if `nginx.enabled` is `true` the `nginx` image is used as reverse proxy.
  # In order to use nginx ingress you have to set `nginx.enabled=false`.
  enabled: false
  # enable and set ingressClassName field in the ingress object.
  ingressClassName: ""
  # annotations for the ingress - annotations are applied for the rasa and rasax ingresses
  annotations: {}
    # kubernetes.io/ingress.class: nginx
    # kubernetes.io/tls-acme: "true"
  # annotationsRasa is extra annotations for the rasa nginx ingress
  annotationsRasa: {}
  # annotationsRasaX is extra annotations for the Rasa Enterprise nginx ingress
  annotationsRasaX:
    nginx.ingress.kubernetes.io/proxy-body-size: "0"
    nginx.ingress.kubernetes.io/proxy-read-timeout: "3600"
    nginx.ingress.kubernetes.io/proxy-send-timeout: "3600"
  # hosts for this ingress
  hosts:
    - host: rasa-x.example.com
      paths:
      - /
  # tls: Secrets for the certificates
  tls: []
  #  - secretName: rasa-x-tls
  #    hosts:
  #      - rasa-x.example.com

networkPolicy:
  # Enable creation of NetworkPolicy resources. When set to true, explicit ingress & egress
  # network policies will be generated for the required inter-pod connections
  enabled: false

  # Allow for traffic from a given CIDR - it's required in order to make kubelet able to run live and readiness probes
  nodeCIDR: []
  #  - ipBlock:
  #      cidr: 0.0.0.0/0

  egress:
    # Allow for adding the specific k8s api IP/CIDR for the egress-from-rabbitmq-to-k8s-api NetworkPolicy
    apiCIDR: []
    #- ipBlock:
    #    cidr: 10.0.0.0/8

    # Allow for adding the specific IP/CIDR for the egress-from-rasa-x-to-https NetworkPolicy
    rasaxToHttpsCIDR: []
    #- ipBlock:
    #    cidr: 11.0.0.0/8

# images: Settings for the images
images:
  # pullPolicy to use when deploying images
  pullPolicy: "Always"
  # imagePullSecrets which are required to pull images for private registries
  imagePullSecrets: []

# securityContext to use
securityContext:
  # runAsUser: 1000
  fsGroup: 1000

# nameOverride replaces the Chart's name
nameOverride: ""

# fullNameOverride replace the Chart's fullname
fullnameOverride: ""

# global settings of the used subcharts
global:
  # specifies the number of seconds you want to wait for your Deployment to progress before
  # the system reports back that the Deployment has failed progressing - surfaced as a condition
  # with Type=Progressing, Status=False. and Reason=ProgressDeadlineExceeded in the status of the resource
  # source: https://kubernetes.io/docs/concepts/workloads/controllers/deployment/#progress-deadline-seconds
  progressDeadlineSeconds: 600
  # storageClass the volume claims should use
  storageClass: ""
  # postgresql: global settings of the postgresql subchart
  postgresql:
    # postgresqlUsername which should be used by Rasa to connect to Postgres
    postgresqlUsername: "postgres"
    # postgresqlPassword is the password which is used when the postgresqlUsername equals "postgres"
    postgresqlPassword: "password"
    # existingSecret which should be used for the password instead of putting it in the values file
    existingSecret: ""
    # postgresDatabase which should be used by Rasa Enterprise
    postgresqlDatabase: "rasa"
    # servicePort which is used to expose postgres to the other components
    servicePort: 5432
    # host: postgresql.hostedsomewhere.else
  # redis: global settings of the postgresql subchart
  redis:
    # password to use in case there no external secret was provided
    password: "redis-password"

  # additionalDeploymentLabels can be used to map organizational structures onto system objects
  # https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/
  additionalDeploymentLabels: {}

if anyone can help me , or just show me a way to deploy it on a VM. (not docker compose because it is deprecated)

hi @nik202 anything ? or someone who can help ?

hi @Johan1us i saw you managed to deploy your local bot into a vm instance with action server can you please help me achieve that ? mine is already working but am struggling with the deployment

No idea about deployment using helm.

only docker-compose i guess ?

yes, indeed.