Skip to main content
LangWatch is an open-source LLM Ops platform for evaluation, observability, and optimization of AI agents and pipelines. You can self-host LangWatch for full data sovereignty, regulatory compliance (GDPR, SOC 2), or air-gapped environments. The self-hosted edition runs the same software that powers LangWatch Cloud — there is no separate “community” or “enterprise” build.
Get the entire LangWatch platform running with a single Helm install:
helm repo add langwatch https://langwatch.github.io/langwatch
helm repo update
helm pull langwatch/langwatch --untar
helm install langwatch ./langwatch \
  --namespace langwatch --create-namespace \
  -f langwatch/examples/values-local.yaml
See Kubernetes (Helm) for full setup instructions.
Looking for a managed solution? LangWatch Cloud is fully maintained by the LangWatch team and is the fastest way to get started.

​
Architecture at a Glance

See Architecture & Infrastructure for a detailed breakdown of networking, scaling, and storage tiers.

​
Deployment Models

LangWatch Cloud

Fully managed by the LangWatch team. No infrastructure to manage — sign up and start sending traces in minutes.Sign up at langwatch.ai

Self-Managed

Deploy the complete LangWatch stack on your own infrastructure — AWS, Azure, GCP, or bare metal. You manage everything: compute, databases, and storage. Full data sovereignty.Get started with Kubernetes

Cloud Enterprise

LangWatch manages the application. Your data lives on exclusive, dedicated instances deployed in your preferred cloud region. The convenience of managed, with the isolation of self-hosted.Contact sales

Hybrid

LangWatch manages the control plane (App, Workers, NLP, LangEvals). You provide the data plane — ClickHouse and S3 in your VPC. Your trace data never leaves your network.Learn more

​
At a Glance

CloudSelf-ManagedCloud EnterpriseHybrid
You manage infrastructureYes
You manage data storageYesYesYes
LangWatch manages appYesYesYes
Data stays in your networkYesYesYes
Setup timeMinutesHoursDaysDays

​
Quick Start

Choose the deployment method that fits your environment.

Docker Compose

Quick local setup with Docker. Coming soon for v3 — currently available for v2.

Kubernetes (Helm)

Production deployment on any Kubernetes cluster.

Local Kubernetes

Test the Helm chart locally with Kind.

​
What’s New in v3

LangWatch v3 is a major architecture upgrade. If you are migrating from v2, review the deployment guides for updated requirements.
  • ClickHouse replaces Elasticsearch as the primary data store, delivering faster analytical queries and lower operational overhead.
  • Event-sourcing architecture ensures reliable, ordered processing of traces, evaluations, and experiment runs.
  • S3 cold storage tiering moves older data to object storage automatically, reducing ClickHouse disk costs.
  • Native ClickHouse backup/restore simplifies disaster recovery without third-party tooling.
  • Auto-tuned ClickHouse via the clickhouse-serverless subchart adapts resource allocation to your workload.
  • Composable Helm chart overlays let you customize deployments without forking the chart.
  • Deep OpenTelemetry integration — ingest traces via OTLP, export platform metrics and logs via OTel for infrastructure monitoring

​
Enterprise

For Cloud Enterprise or Hybrid deployments, contact the LangWatch team to discuss your requirements. Enterprise capabilities include:
  • SSO / SCIM — integrate with your identity provider for seamless user provisioning
  • Role-based access control — fine-grained permissions across projects and teams
  • Audit logs — full visibility into who did what and when
  • Priority support — dedicated engineering assistance and SLA-backed response times