LangSmith uses Redis to back our queuing/caching operations. By default, LangSmith Self-Hosted will use an internal Redis instance. However, you can configure LangSmith to use an external Redis instance. By configuring an external Redis instance, you can more easily manage backups, scaling, and other operational tasks for your Redis instance.
Note: We only officially support Redis versions >= 5.
We support both Standalone and Redis Cluster. See the appropriate sections for deployment instructions.
By default, we recommend an instance with at least 2 vCPUs and 8GB of memory. However, the actual requirements will depend on your tracing workload. We recommend monitoring your Redis instance and scaling up as needed.
With your connection string in hand, you can configure your LangSmith instance to use an external Redis instance. You can do this by modifying the values file for your LangSmith Helm Chart installation or the .env file for your Docker installation.
You can also store the connection URL in an existing Kubernetes Secret and reference it in your Helm values.
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redis: external: enabled: true # Name of an existing Secret that contains the connection URL existingSecretName: "my-redis-secret" # Key in the Secret that stores the connection URL (default shown) connectionUrlSecretKey: "connection_url"
Once configured, you should be able to reinstall your LangSmith instance. If everything is configured correctly, your LangSmith instance should now be using your external Redis instance.
When connecting to an external Redis Cluster, configure the Helm values under redis.external.cluster. You can either:
Provide node URIs and (optionally) a password directly in values.yaml.
Or reference an existing Kubernetes Secret containing node URIs and password.
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redis: external: enabled: true cluster: enabled: true # List of cluster node URIs. Format: redis://host:port nodeUris: - "redis://redis-node-0:6379" - "redis://redis-node-1:6379" - "redis://redis-node-2:6379" # Optional. If your cluster requires auth, set a password or use a Secret (recommended). password: "your_redis_password" # Enable if your cluster uses TLS. tlsEnabled: true
If using an existing Secret, it should contain:
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apiVersion: v1kind: Secretmetadata: name: my-redis-cluster-secrettype: OpaquestringData: # JSON array of node URIs (as a string) redis_cluster_node_uris: '["redis://redis-node-0:6379","redis://redis-node-1:6379","redis://redis-node-2:6379"]' # Optional if your cluster requires a password redis_cluster_password: "your_redis_password"
Use this section to configure TLS for Redis connections. For mounting internal/public CAs so LangSmith trusts your Redis server certificate, see Configure custom TLS certificates.
Provide a CA bundle using config.customCa.secretName and config.customCa.secretKey.
For Standalone Redis, use rediss:// in the connection URL.
For Redis Cluster, set redis.external.cluster.tlsEnabled: true.
Mount a custom CA only when your Redis server uses an internal or private CA. Publicly trusted CAs do not require this configuration.
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config: customCa: secretName: "langsmith-custom-ca" # Secret containing your CA bundle secretKey: "ca.crt" # Key in the Secret with the CA bundleredis: external: enabled: true # Use rediss:// and include password if required by your server connectionUrl: "rediss://host:6380/0?password=<PASSWORD>"
As of LangSmith helm chart version 0.12.28, we support mTLS for Redis clients. For server-side authentication in mTLS, use the Server TLS steps above (custom CA) in addition to the client certificate configuration below.If your Redis server requires client certificate authentication:
Provide a Secret with your client certificate and key.
Reference it via redis.external.clientCert.secretName and specify the keys with certSecretKey and keySecretKey.
For Standalone Redis, keep using rediss:// in the connection URL.
For Redis Cluster, set redis.external.cluster.tlsEnabled: true.
The certificate volumes mounted for mTLS are protected by file access restrictions. To ensure all LangSmith pods can read the certificate files, you must set fsGroup: 1000 in the pod security context.You can configure this in one of two ways:Option 1: Use commonPodSecurityContextSet the fsGroup at the top level to apply it to all pods:
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commonPodSecurityContext: fsGroup: 1000
Option 2: Add to individual pod security contextsIf you need more granular control, add the fsGroup to each pod’s security context individually. See the mtls configuration example for a complete reference.