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values_dev.yaml
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values_dev.yaml
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podAnnotations: {}
podSecurityContext:
{}
# fsGroup: 2000
securityContext:
{}
# capabilities:
# drop:
# - ALL
# readOnlyRootFilesystem: true
# runAsNonRoot: true
# runAsUser: 1000
imageCredentials:
registry: "cognigy.azurecr.io"
username: ""
password: ""
mongodb:
enabled: true
auth:
rootUser: root
rootPassword: ""
hosts: mongodb-0.mongodb-headless.mongodb.svc.cluster.local:27017
redis:
image:
registry: docker.io
repository: bitnami/redis
tag: 7.0.7-debian-11-r7
pullSecrets: []
replica:
replicaCount: 1
sentinel:
enabled: true
image:
registry: docker.io
repository: bitnami/redis-sentinel
tag: 7.0.7-debian-11-r6
pullSecrets: []
backend:
image:
repository: cognigydevelopment.azurecr.io/agent-assist-backend
pullPolicy: IfNotPresent
tag: "abcdf680c478e56d0a1cd58f0d9af2833010ca33-1662397710"
replica: 1
service:
name: cognigy-agent-assist-backend
internalPort: 8000
targetPort: 8000
type: ClusterIP
annotations:
{}
# For example
# service.beta.kubernetes.io/aws-load-balancer-type: external
# service.beta.kubernetes.io/aws-load-balancer-nlb-target-type: ip
# service.beta.kubernetes.io/aws-load-balancer-scheme: internet-facing
ingress:
enabled: true
hosts:
- host: "agent-assist-api"
paths:
- path: /
pathType: Prefix
backend:
service:
port:
number: 8000
# tls:
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
# The API access token to use for authenticating the Backend with the Cognigy.AI endpoint
cognigyServiceEndpointApiAccessToken:
# Existing secret must have `api-access-token` as secret key
# existingSecret: ""
# Optionally create the secret by setting the api key here (not recommended)
value: ""
cognigyServiceHandoverApiAccessToken:
# Existing secret must have `api-access-token` as secret key
# existingSecret: ""
# Optionally create the secret by setting the api key here (not recommended)
value: ""
apiKey:
existingSecret: cognigy-agent-assist-api-key
# Optionally create the secret by setting the api key here (not recommended)
# value: ''
# Config map env variables
configmap:
FRONTEND_URL: "http://agent-assist.test"
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: 1000m
# memory: 600Mi
# requests:
# cpu: 1000m
# memory: 400Mi
frontend:
image:
repository: cognigydevelopment.azurecr.io/agent-assist-frontend
pullPolicy: IfNotPresent
tag: "d6563f67dc8bf9b4ae082c0f50e5b78c62c07e4b-1662492536"
replica: 1
service:
name: cognigy-agent-assist-frontend
internalPort: 8000
targetPort: 8000
type: ClusterIP
annotations:
{}
# For example
# service.beta.kubernetes.io/aws-load-balancer-type: external
# service.beta.kubernetes.io/aws-load-balancer-nlb-target-type: ip
# service.beta.kubernetes.io/aws-load-balancer-scheme: internet-facing
ingress:
enabled: true
hosts:
- host: "agent-assist-ui.test"
paths:
- path: /
pathType: Prefix
backend:
service:
port:
number: 8000
# tls:
# - secretName: chart-example-tls
# hosts:
# - chart-example.local
# Config map env variables
configmap: {}
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: 1000m
# memory: 600Mi
# requests:
# cpu: 1000m
# memory: 400Mi
nodeSelector: {}
tolerations: []