Langfuse hosting

Tracing, evaluation and prompt management for LLM applications.

Gateways & LLM opsMIT (core)from $11.99/mo

In short

Langfuse hosting at AIHostBox means a dedicated, single-tenant Langfuse instance on our infrastructure: we install it, pin it to a reviewed release, put it behind TLS on your domain, back it up nightly and keep it patched. Plans start at $11.99 per month and the admin account, the data and any API keys are yours.

TracesCost trackingPrompt versionsDatasetsEvalsSDKs

Langfuse is an open-source LLM engineering platform. Your application sends traces through the Python or JavaScript SDKs, through integrations for OpenAI, LangChain, LlamaIndex and LiteLLM, or through an OpenTelemetry endpoint, and Langfuse stores each call with its inputs, outputs, latency, token usage and cost. Around that sit prompt management with versions and labels, datasets, experiments and LLM-as-a-judge evaluations, which is why teams use it both for debugging and for deciding whether a change actually made things better.

Unlike a lightweight logger, Langfuse is a small data platform. Version 4 runs a web container and a worker, with Postgres for users and prompts, ClickHouse for traces, observations and scores, Redis for queues, and S3-compatible storage where every incoming event is written first. That is five moving parts to keep patched and backed up. The core, including tracing, prompts and evaluations, is MIT-licensed; audit logs, data retention policies and project-level RBAC need an enterprise licence key.

Langfuse hosting plans

PlusRecommended minimum

4 GB RAM · 2 vCPU · NVMe

$11.99/mo

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ProTeams & heavier load

8 GB RAM · 3 vCPU · NVMe

$18.99/mo

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Every plan is a dedicated single-tenant instance with NVMe storage, nightly off-box backups, TLS and managed patching. Quarterly, semi-annual and annual terms are discounted at checkout. Model tokens are not included — you bring your own key.

How we run Langfuse

Langfuse’s official Docker Compose stack: langfuse-web and langfuse-worker (v4 images), Postgres, ClickHouse, Redis and MinIO, with only the web UI and API published over TLS.

What we configure for you

NEXTAUTH_SECRET, SALT and ENCRYPTION_KEY generated as long random values instead of the CHANGEME defaults
NEXTAUTH_URL set to your hostname so links and OAuth callbacks resolve
CLICKHOUSE_PASSWORD, REDIS_AUTH and the MinIO keys behind LANGFUSE_S3_EVENT_UPLOAD_* and LANGFUSE_S3_MEDIA_UPLOAD_* changed from defaults
SMTP_CONNECTION_URL and EMAIL_FROM_ADDRESS for invitations and password resets
SSO through AUTH_<PROVIDER>_* variables, plus AUTH_DISABLE_SIGNUP for a closed instance
TELEMETRY_ENABLED=false if you prefer no usage telemetry

Which plan fits

Plus (4 GB, 2 vCPU) is enough for a developer or small team tracing a prototype or staging environment. Pro (8 GB, 3 vCPU) gives ClickHouse room for production apps with steady but moderate traffic. Both sit well under Langfuse’s own 16 GiB single-VM guidance, so very high ingest belongs on a larger cluster.

The honest limits

Langfuse notes that its Docker Compose setup has no high availability or horizontal scaling, so an instance scales only vertically; enterprise features such as audit logs and retention policies need a paid licence key.

What people run Langfuse for

Debug agent behaviour

Follow a single request through every tool call.

Prompt regression testing

Run a new prompt against a saved dataset before shipping it.

Cost attribution

See which feature is generating the spend.

Licence and version policy

Item	Position
Upstream licence	MIT (core)
Sold as managed hosting	Yes
Tenancy	Single tenant — one customer per instance
Patching	Critical advisories within 24 hours, high severity within 72

Our full position on licences, including the applications we decline to sell, is on the licensing page.

Reading on Langfuse

ComparisonLiteLLM vs OpenRouter ComparisonLangfuse alternatives for LLM observability Guide · ArchitectureA self-hosted AI stack that actually holds together Guide · CostCutting an LLM bill without cutting quality

Works well with Langfuse

More Gateways & LLM ops we host

Questions

Langfuse hosting: your questions

Which parts of Langfuse are open source?

All core features and APIs are MIT-licensed without usage limits: tracing, prompt management, datasets, evaluations and the playground. A licence key unlocks enterprise extras such as audit logs, data retention policies, project-level RBAC roles, protected prompt labels and SCIM. We deploy the open-source edition; if you already hold a key, it can be added.

Can I sign in with Google, Okta or Entra ID?

Yes. Langfuse supports SSO through Google, GitHub, GitLab, Okta, Azure AD/Entra ID, Keycloak, Authentik and a generic OIDC provider (AUTH_CUSTOM_*). We can set AUTH_DISABLE_USERNAME_PASSWORD so only SSO works, and AUTH_DISABLE_SIGNUP so nobody can register without an invitation.

Where is my trace data stored, and what is backed up?

Users, projects, prompts and datasets live in Postgres; traces, observations and scores live in ClickHouse; raw ingested events and media attachments sit in the MinIO bucket. All three are in the nightly off-box backup, because restoring Postgres alone would bring back your prompts but not the history they were measured against.

Do I need to change my code to send traces here?

Only the host. Point your SDK’s host setting at your instance and use the public and secret key pair from the project settings. Code already instrumented for Langfuse Cloud, or exporting OpenTelemetry spans, sends to a self-hosted instance the same way.

How much traffic can these plans handle?

Langfuse recommends 4 cores and 16 GiB of memory for a single-VM Docker deployment, and ClickHouse is the component that wants it. Our plans sit below that, which suits development, staging and production apps with modest trace volumes. For very heavy ingest, Langfuse’s Kubernetes deployment is the right tool.

Run Langfuse without running a server

A dedicated Langfuse instance, deployed and maintained by us. Month to month, cancel whenever.

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