Langfuse v4: up to 165× faster · Read more
Open source · Self-hosted

Langfuse for Government

Observability and evaluations for public-sector AI, in your environment.

Government · Public sector · Internet optional

Build accountable AI.
Keep it under your control.

Open-source tracing and evaluations for government AI. Run it air-gapped, on-premises, or in a private cloud. Prompts, traces, and scores stay in your environment. You run the software.

  • Your environment
  • Open source
  • Your traces
Coming soon
Langfuse Cloud for Government

Managed cloud option. NIST SP 800-53 Rev. 5, SSDF, and FIPS 140-3 hardening in progress.

See both options ↗
Open-source coreMIT · no usage limits
Internet optionalAir-gapped ready
100,000+ engineersBuilding on Langfuse
10+ billionObservations / month
Observability · Evaluations · Alerts

See what happened. Score what works.

You need to see how an agent reached an answer, score whether it is reliable, and change it without moving sensitive data out of your environment.

01Observe
See what happened

Trace every model call, tool invocation, retrieval step, and agent decision. Investigate failures with the full context of each request, session, model, prompt, latency, and cost.

Observability docs
02Evaluate
Measure what works

Score outputs with LLM-as-a-judge, deterministic checks, human review, and user feedback. Turn production failures into datasets and regression tests before the next release.

Evaluation docs
03Contain
Contain failures early

Monitor quality, security scores, latency, and cost. Set thresholds and send alerts to webhooks, Slack, or GitHub Actions so you can respond before a bad run repeats.

Alerts docs
Self-hosting · Governance

Run it where you already operate.

Langfuse runs behind a firewall, on a classified network, or in an approved cloud account. The product and data model stay the same.

01
Run inside your security boundary

Deploy Langfuse in a VPC, on premises, or in a fully air-gapped Kubernetes environment. Internet access is optional. Bring your own infrastructure, networking, storage, and operational controls.

Networking docs
02
Inspect and control the software

The Langfuse repository is public. Tracing, evaluations, prompt management, experiments, and annotation are MIT-licensed, with no usage limits. Enterprise extensions live in marked directories and turn on with a license key.

Open-source licensing
03
Same architecture as Langfuse Cloud

Self-hosted Langfuse uses the same codebase and architecture as Langfuse Cloud. Asynchronous ingestion absorbs traffic spikes, events are persisted before processing, and background migrations reduce disruption during upgrades.

Architecture overview
04Enterprise
Keep AI systems accountable

Application traces create a detailed record of model calls and agent actions. Enterprise audit logs add immutable records of who changed what, when, and with which before-and-after state. SSO, role-based access control, SCIM, retention policies, and server-side data masking support centralized governance.

Audit logs
Security · Data control

Keep data in your environment.

Application teams can debug and evaluate agents. Security teams keep telemetry, prompts, and evaluation data in the approved boundary.

FIPS images

For deployments with FIPS requirements, compliant Langfuse Docker images are available upon request.

Book a meeting
Data stays where you put it

Run the platform and its open-source dependencies in infrastructure you control.

Sensitive data can be masked before storage

Redact data in the SDK before transmission, or apply centralized ingestion masking in self-hosted Enterprise deployments.

Open standards reduce lock-in

Instrument with OpenTelemetry, or use Langfuse SDKs and integrations across models, frameworks, and languages.

Your team controls upgrades

Use versioned releases and deploy changes on your schedule.

Get started · MIT licensed

Start locally. Deploy in production.

Run Langfuse locally with Docker Compose in minutes. The repository is public and the core is MIT-licensed. Move to Kubernetes or Terraform without changing the product or data model.

terminal
$ git clone https://github.com/langfuse/langfuse.git
$ cd langfuse
$ docker compose up
Deployment options

Self-host today. Cloud is coming soon.

Most government teams run Langfuse Enterprise on their own infrastructure. Langfuse Cloud for Government is a managed option in progress. Talk to sales to learn more.

Option 01Available today
Self-hosted Enterprise

Run Langfuse Enterprise on-premises, in a VPC, or air-gapped. Pair it with ClickHouse Government when you need a government-ready analytics plane.

  • Your cluster, your network boundary
  • FIPS-compliant Docker images upon request
  • RBAC, SSO, SCIM, and audit logs
  • Data retention and server-side masking
Explore self-hosting ↗
Option 02Coming soon
Langfuse Cloud for Government

A managed Langfuse Cloud for teams that want Langfuse to operate the control plane. Hardening work is underway.

  • NIST SP 800-53 Rev. 5 hardening
  • NIST SSDF (SP 800-218) hardening
  • FIPS 140-3
  • RBAC, SSO, SCIM, audit logs, retention, and data masking
Contact sales
Langfuse for Government

Run Langfuse in your environment.

Talk through self-hosted Enterprise today, or Langfuse Cloud for Government. Sensitive data stays in infrastructure you control.