Before deploying, review the conceptual guide for the Hybrid deployment option.
Important The Hybrid deployment option requires an Enterprise plan.

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Prerequisites

  1. Use the LangGraph CLI to test your application locally.
  2. Use the LangGraph CLI to build a Docker image (i.e. langgraph build) and push it to a registry your Kubernetes cluster or Amazon ECS cluster has access to.

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Kubernetes

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Prerequisites

  1. KEDA is installed on your cluster. 
      helm repo add kedacore https://kedacore.github.io/charts
  helm install keda kedacore/keda --namespace keda --create-namespace
  2. A valid Ingress controller is installed on your cluster.
  3. You have slack space in your cluster for multiple deployments. Cluster-Autoscaler is recommended to automatically provision new nodes.
  4. You will need to enable egress to two control plane URLs. The listener polls these endpoints for deployments:

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Setup

  1. Provide your LangSmith organization ID to us. Your LangSmith organization will be configured to deploy the data plane in your cloud.
  2. Create a listener from the LangSmith UI. The Listener data model is configured for the actual “listener” application.
    1. In the left-hand navigation, select LangGraph Platform > Listeners.
    2. In the top-right of the page, select + Create Listener.
    3. Enter a unique Compute ID for the listener. The Compute ID is a user-defined identifier that should be unique across all listeners in the current LangSmith workspace. The Compute ID is displayed to end users when they are creating a new deployment. Ensure that the Compute ID provides context to the end user about where their LangGraph Server deployments will be deployed to. For example, a Compute ID can be set to k8s-cluster-name-dev-01. In this example, the name of the Kubernetes cluster is k8s-cluster-name, dev denotes that the cluster is reserved for “development” workloads, and 01 is a numerical suffix to reduce naming collisions.
    4. Enter one or more Kubernetes namespaces. Later, the “listener” application will be configured to deploy to each of these namespaces.
    5. In the top-right on the page, select Submit.
    6. After the listener is created, copy the listener ID. You will use it later when installing the actual “listener” application in the Kubernetes cluster (step 5).
    Important Creating a listener from the LangSmith UI does not install the “listener” application in the Kubernetes cluster.
  3. A Helm chart is provided to install the necesssary components in your Kubernetes cluster.
    • langgraph-listener: This is a service that listens to LangChain’s control plane for changes to your deployments and creates/updates downstream CRDs. This is the “listener” application.
    • LangGraphPlatform CRD: A CRD for LangGraph Platform deployments. This contains the spec for managing an instance of a LangGraph Platform deployment.
    • langgraph-platform-operator: This operator handles changes to your LangGraph Platform CRDs.
  4. Configure your langgraph-dataplane-values.yaml file. 
      config:
    langsmithApiKey: "" # API Key of your Workspace
    langsmithWorkspaceId: "" # Workspace ID
    hostBackendUrl: "https://api.host.langchain.com" # Only override this if on EU
    smithBackendUrl: "https://api.smith.langchain.com" # Only override this if on EU
    langgraphListenerId: "" # Listener ID from Step 2f
    watchNamespaces: "" # comma-separated list of Kubernetes namespaces that the listener and operator will deploy to
    enableLGPDeploymentHealthCheck: true # enable/disable health check step for deployments

  ingress:
    hostname: "" # specify a hostname that will be configured for all deployments

  operator:
    enabled: true # set this to `false` if the operator is already deployed in the current Kubernetes namespace
    createCRDs: true # set this to `false` if the CRD has been previously installed in the current Kubernetes cluster
    • config.langsmithApiKey: The langgraph-listener deployment authenticates with LangChain’s LangGraph control plane API with the langsmithApiKey.
    • config.langsmithWorkspaceId: The langgraph-listener deployment is coupled to LangGraph Server deployments in the LangSmith workspace. In other words, the langgraph-listener deployment can only manage LangGraph Server deployments in the specified LangSmith workspace ID.
    • config.langgraphListenerId: In addition to being coupled with a LangSmith workspace, the langgraph-listener deployment is also coupled to a listener. When a new LangGraph Server deployment is created, it is automatically coupled to a langgraphListenerId. Specifying langgraphListenerId ensures that the langgraph-listener deployment can only manage LangGraph Server deployments that are coupled to langgraphListenerId.
    • config.watchNamespaces: A comma-separated list of Kubernetes namespaces that the langgraph-listener deployment will deploy to. This list should match the list of namespaces specified in step 2d.
    • config.enableLGPDeploymentHealthCheck: To disable the LangGraph Server health check, set this to false.
    • ingress.hostname: As part of the deployment workflow, the langgraph-listener deployment attempts to call the LangGraph Server health check endpoint (GET /ok) to verify that the application has started up correctly. A typical setup involves creating a shared DNS record or domain for LangGraph Server deployments. This is not managed by LangGraph Platform. Once created, set ingress.hostname to the domain, which will be used to complete the health check.
    • operator.enabled: There can only be 1 instance of the langgraph-platform-operator deployed in a Kubernetes namespace. Set this to false if there is already an instance of langgraph-platform-operator deployed in the current Kubernetes namespace.
    • operator.createCRDs: Set this value to false if the Kubernetes cluster already has the LangGraphPlatform CRD installed. During installation, an error will occur if the CRD is already installed. This situation may occur if multiple listeners are deployed on the same Kubernetes cluster.
  5. Deploy langgraph-dataplane Helm chart. 
      helm repo add langchain https://github.com/langchain-ai/helm
  helm repo update
  helm upgrade -i langgraph-dataplane langchain/langgraph-dataplane --values langgraph-dataplane-values.yaml --wait --debug
  6. If successful, you will see three services start up in your namespace. 
      NAME                                            READY   STATUS              RESTARTS   AGE
  langgraph-dataplane-listener-6dd4749445-zjmr4   0/1     ContainerCreating   0          26s
  langgraph-dataplane-operator-6b88879f9b-t76gk   1/1     Running             0          26s
  langgraph-dataplane-redis-0                     1/1     Running             0          25s
  7. Create a deployment from the control plane UI.
    1. Select the desired listener from the list of Compute IDs in the dropdown menu.
    2. Select the Kubernetes namespace to deploy to.
    3. Fill out all other required fields and select Submit in the top-right of the panel.
    4. The deployment will be deployed on the Kubernetes cluster where the listener is deployed and in the Kubernetes namespace specified in step 7b.