Install Cognigy Serverless - Cognigy Documentation

Cognigy.AI serverless is the new Extension execution runtime, replacing service-execution. This runtime allows Extensions to run in isolated, on-demand execution environments. For more information, refer to Cognigy Serverless.

Cognigy Serverless is required starting with Cognigy.AI 2026.21.0. The legacy Extension runtime for trusted and untrusted Extensions is removed in this release. Install Cognigy Serverless before upgrading to 2026.21.0. Otherwise, all Extensions will stop working after the upgrade.

For this installation guide, consider the namespace as cognigy-ai and the Helm chart file name as cognigy-ai-values.yaml. Adjust the following instructions to match your namespace and Helm chart file name.

Prerequisites

Migrate Extensions tenant storage.
Cognigy.AI 2026.14.2, 2026.15.1 or later.

Configure Rollout for Cognigy Serverless

Add the following rollout configuration to cognigy-ai-values.yaml. This configuration defines the initial rollout policy with Cognigy serverless disabled for all organizations, Projects, and Extensions:

commonConfigs:
  cognigyRollout:
    serverless.yaml: |
      organisations:
        enabled: []
        disabled: []
      projects:
        enabled: []
        disabled: []
      extensions:
        enabled: []
        disabled: []

Install Cognigy Serverless in the Cluster

Add the following Cognigy serverless configuration to your cognigy-ai-values.yaml:

serverless:
  enabled: true

  router:
    # Optional: enable HPA-based autoscaler for router pods
    autoscaling:
      enabled: true

  # Optional: deploy executor pods to a dedicated node pool
  global:
    nodeSelector: "node-role=serverless-executor"
    tolerations: "node-role.cognigy.ai=serverless-executor"

Apply Configuration

Deploy the updated Cognigy.AI Helm chart:

helm registry login cognigy.azurecr.io \
    --username <your-username> \
    --password <your-password>

helm upgrade --install --namespace cognigy-ai cognigy-ai oci://cognigy.azurecr.io/helm/cognigy.ai --version <version> --values cognigy-ai-values.yaml

Verify Serverless Router Pods

Make sure all serverless-router pods are running and healthy. Execute the following command to check the pods’ status:

kubectl get pods -n cognigy-ai --watch | grep serverless-router

All serverless-router pods must display the Running status and all containers must be ready, for example, displaying 1/1.

Activate Cognigy Serverless

Once all serverless-router pods are running and healthy, update the rollout configuration in cognigy-ai-values.yaml to activate Cognigy serverless for all organizations, Projects, and Extensions:

commonConfigs:
  cognigyRollout:
    serverless.yaml: |
      organisations:
        enabled: ["*"]
        disabled: []
      projects:
        enabled: ["*"]
        disabled: []
      extensions:
        enabled: ["*"]
        disabled: []

Deploy the updated Cognigy.AI Helm chart:

helm registry login cognigy.azurecr.io \
    --username <your-username> \
    --password <your-password>

helm upgrade --install --namespace cognigy-ai cognigy-ai oci://cognigy.azurecr.io/helm/cognigy.ai --version <version> --values cognigy-ai-values.yaml

Last modified on August 6, 2026