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Self-hosting LangSmith on Kubernetes

Enterprise License Required

Self-hosting LangSmith is an add-on to the Enterprise Plan designed for our largest, most security-conscious customers. See our pricing page for more detail, and contact us at sales@langchain.dev if you want to get a license key to trial LangSmith in your environment.

This guide will walk you through the process of deploying LangSmith to a Kubernetes cluster. We will use Helm to install LangSmith and its dependencies.

We've successfully tested LangSmith on the following Kubernetes distributions:

  • Google Kubernetes Engine (GKE)
  • Amazon Elastic Kubernetes Service (EKS)
  • Azure Kubernetes Service (AKS)
  • OpenShift
  • Minikube and Kind (for development purposes)

Prerequisites​

Ensure you have the following tools/items ready. Some items are marked optional:

  1. A working Kubernetes cluster that you can access via kubectl. Your cluster should have the following minimum requirements:

    1. Recommended: At least 16 vCPUs, 64GB Memory available
      • You may need to tune resource requests/limits for all of our different services based off of organization size/usage
      • We recommend using a cluster autoscaler to handle scaling up/down of nodes based on resource usage
      • We recommend setting up the metrics server so that autoscaling can be turned on
      • You must have a node with at least 4 vCPUs and 16GB of memory allocatable as ClickHouse will request this amount of resources by default.
    2. Valid Dynamic PV provisioner or PVs available on your cluster. You can verify this by running:
      • We will be using a PostgreSQL database, Redis, and ClickHouse for storing traces. These services require persistent storage.
      • If using PVs in your cluster, we highly recommend setting up backups in a production environment.
    kubectl get storageclass

    The output should show at least one storage class with a provisioner that supports dynamic provisioning. For example:

      NAME            PROVISIONER             RECLAIMPOLICY   VOLUMEBINDINGMODE      ALLOWVOLUMEEXPANSION   AGE
      gp2 (default)   kubernetes.io/aws-ebs   Delete          WaitForFirstConsumer   true                   161d
    note

    We highly recommend using a storage class that supports volume expansion. This is because traces can potentially require a lot of disk space and your volumes may need to be resized over time.

    Refer to the Kubernetes documentation for more information on storage classes.

  2. Helm

    1. To install helm refer to the Helm documentation

  3. LangSmith License Key

    1. You can get this from your Langchain representative. Contact us at sales@langchain.dev for more information.

  4. Api Key Salt

    1. This is a secret key that you can generate. It should be a random string of characters.
    2. You can generate this using the following command:
    openssl rand -base64 32

  5. Configuration

    1. There are several configuration options that you can set in the langsmith_config.yaml file. You can find more information on specific configuration options in the Configuration section.
    2. If you are new to Kubernetes or Helm, we’d recommend starting with one of the example configurations in the examples directory of the Helm Chart repository here: LangSmith helm chart examples.
    3. You can see a full list of configuration options in the values.yaml file in the Helm Chart repository here: LangSmith Helm Chart

Configure your Helm Charts:​

  1. Create a new file called langsmith_config.yaml with the configuration options from the previous step.

  2. At a minimum, you will need to set the following configuration options:

    config:
      langsmithLicenseKey: "<your license key>"
      apiKeySalt: "<your api key salt>"

Deploying to Kubernetes:​

  1. Verify that you can connect to your Kubernetes cluster(note: We highly suggest installing into an empty namespace)

    1. Run kubectl get pods

      Output should look something like:

      kubectl get pods                                                                                                                                                                     ⎈ langsmith-eks-2vauP7wf 21:07:46
      No resources found in default namespace.

  2. Ensure you have the Langchain Helm repo added. (skip this step if you are using local charts)

    helm repo add langchain https://langchain-ai.github.io/helm/ "langchain" has been added to your repositories

Namespace

If you are using a namespace other than the default namespace, you will need to specify the namespace in the helm and kubectl commands by using the -n <namespace flag.

  1. Run helm install langsmith langchain/langsmith --values langsmith_config.yaml --version <version> --debug

    • Replace <your-namespace> with the namespace you want to deploy LangSmith to.
    • Replace <version> with the version of LangSmith you want to deploy. You can find the available versions in the Helm Chart repository. We generally recommend using the latest version. Output should look something like:
    NAME: langsmith
    LAST DEPLOYED: Fri Sep 17 21:08:47 2021
    NAMESPACE: langsmith
    STATUS: deployed
    REVISION: 1
    TEST SUITE: None

  2. Run kubectl get pods Output should now look something like:

    langsmith-backend-6ff46c99c4-wz22d       1/1     Running   0          3h2m
    langsmith-frontend-6bbb94c5df-8xrlr      1/1     Running   0          3h2m
    langsmith-hub-backend-5cc68c888c-vppjj   1/1     Running   0          3h2m
    langsmith-playground-6d95fd8dc6-x2d9b    1/1     Running   0          3h2m
    langsmith-postgres-0                     1/1     Running   0          9h
    langsmith-queue-5898b9d566-tv6q8         1/1     Running   0          3h2m
    langsmith-redis-0                        1/1     Running   0          9h

Validate your deployment:​

  1. Run kubectl get services

    Output should look something like:

    NAME                    TYPE           CLUSTER-IP       EXTERNAL-IP                                                               PORT(S)        AGE
    langsmith-backend       ClusterIP      172.20.140.77    <none>                                                                    1984/TCP       35h
    langsmith-frontend      LoadBalancer   172.20.253.251   <external ip>                                                             80:31591/TCP   35h
    langsmith-hub-backend   ClusterIP      172.20.112.234   <none>                                                                    1985/TCP       35h
    langsmith-playground    ClusterIP      172.20.153.194   <none>                                                                    3001/TCP       9h
    langsmith-postgres      ClusterIP      172.20.244.82    <none>                                                                    5432/TCP       35h
    langsmith-redis         ClusterIP      172.20.81.217    <none>                                                                    6379/TCP       35h

  2. Curl the external ip of the langsmith-frontend service:

    curl <external ip>/api/tenants
    [{"id":"00000000-0000-0000-0000-000000000000","has_waitlist_access":true,"created_at":"2023-09-13T18:25:10.488407","display_name":"Personal","config":{"is_personal":true,"max_identities":1},"tenant_handle":"default"}]%

  3. Visit the external ip for the langsmith-frontend service on your browser

    The LangSmith UI should be visible/operational

    ./static/langsmith_ui.png

Using LangSmith​

Now that LangSmith is running, you can start using it to trace your code. You can find more information on how to use self-hosted LangSmith in the self-hosted usage guide.

Your LangSmith instance is now running but may not be fully setup yet.

If you used one of the basic configs, you may have deployed a no-auth configuration. In this state, there is no authentication or concept of user accounts nor API keys and traces can be submitted directly without an API key so long as the hostname is passed to the LangChain tracer/LangSmith SDK.

As a next step, it is strongly recommended you work with your infrastructure administrators to:

  • Setup DNS for your LangSmith instance to enable easier access.
  • Configure SSL to ensure in-transit encryption of traces submitted to LangSmith
  • Configure LangSmith for oauth authentication or basic authentication to secure your LangSmith instance

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