Open source
Langfuse
Quick facts
- Pricing model
- Open source
- Minimum price
- Free
- Free access
- Yes
- Platforms & integrations
- Web
- API
- MCP Server
- CLI
- Self-hosted
- Service Integrations
- Payment methods
- Visa
- Mastercard
- American Express
- JCB
- Discover
- Diners Club
- UnionPay
- Interface languages
- English
- Service status
- Online, checked
Developer and reliability
Information about the developer and the service's terms. This is a factual reference, not a quality assessment or a guarantee of safety.
- Developer
- Langfuse
- Legal entity
- Langfuse GmbH
- Legal entity's country
- Germany
- Registration details
- HRB 248821B
- Service launch
- August 2023
- Domain registered
- April 20, 2023
- The domain registration date is not the service's launch date.
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About the tool
Building LLM apps and multi-step agents without observability is pure guesswork. Langfuse is an open-source engineering platform built to trace, evaluate, and optimize AI workflows from early prototypes straight into high-load production.
Created by Langfuse GmbH (a German team now under ClickHouse), the platform unpacks non-deterministic agent workflows. Instead of treating model calls like black boxes, it logs every prompt, tool execution, retrieval step, and completion into clean hierarchical trace trees.
Core Capabilities
- Granular tracing & session tracking: Maps multi-turn chats and agent loops into tidy sessions and user profiles. You can visualize the full agent graph, see exactly where the logic derailed, and spot latency bottlenecks alongside token costs for every single step.
- Multi-method evaluations: Run automated LLM-as-a-judge scoring, set up deterministic Python or TypeScript code evaluators, and queue human annotations to build golden datasets and catch hallucinations before users do.
- Decoupled prompt management: Create, version, and tag prompts in the UI or via API without touching codebase logic. Client-side and edge caching keep fetch latency close to zero.
- Offline experiments & CI/CD guardrails: Compare prompts and models side-by-side against test datasets, catch regressions early, and block deployments if benchmark scores dip below your predefined thresholds.
- Developer and agent ergonomics: Packs native SDKs for Python and JavaScript, standard OpenTelemetry support across languages, a command-line interface, and an MCP (Model Context Protocol) server so coding assistants in Cursor or VS Code can dig into traces directly.
Best of all, unlike proprietary tools locking telemetry behind closed doors, Langfuse's core engine is MIT-licensed. Under the hood, it ingests massive data streams asynchronously via Redis and object storage, storing structured traces in ClickHouse to query millions of events in milliseconds. You can also hook up gateways like eurouter.ai to pipe inference traces straight into Langfuse with zero fuss.
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Langfuse Pricing & Plans
Hobby (Cloud)
Core (Cloud)
Pro (Cloud)
Enterprise (Cloud)
Open Source (Self-Hosted)
Enterprise (Self-Hosted)
Prices are based on the provider's information and may change.
Looking for a free option? Try these alternatives to Langfuse:
Langfuse Feature Comparison
Compare key features, prices and capabilities with similar tools
| Feature | ![]() Current tool | ![]() | ![]() |
|---|---|---|---|
| Pricing model | Open source | Freemium | Freemium |
| Minimum price | from $29/month | from $49/month | from $20/month |
| Free access | Yes | Yes | Yes |
| User rating | |||
| Current tool |
Frequently Asked Questions about Langfuse
Is self-hosting Langfuse completely free?
Yes. The core self-hosted platform is completely free and released under the permissive MIT license. You can spin it up on your own infrastructure with Docker Compose, Helm charts on Kubernetes, or Terraform setups on AWS, GCP, and Azure without licensing fees. Only enterprise extras like SCIM provisioning, audit logs, and enforced SSO require a commercial Enterprise license key.
What limits apply to the free Langfuse Cloud tier?
The Hobby cloud tier gives you 50,000 units per month, a 30-day data retention window, and access for up to 2 team members—no credit card required. If you need longer history, higher ingestion throughput, or unlimited seats, paid plans start at $29 per month.
How does Langfuse handle multi-turn chat sessions and agent workflows?
It ties execution traces together using unique session and user IDs. Instead of inspecting isolated calls in a vacuum, you see the entire back-and-forth conversation and tool calls in context. That makes it easy to track accumulated token spend, spot frustration loops, and evaluate output quality across full user sessions.
Which payment methods are accepted for Langfuse Cloud?
Langfuse accepts major credit and debit cards, including Visa, Mastercard, American Express, JCB, Discover, Diners Club, and UnionPay. Enterprise contracts can also be handled via standard invoicing or through AWS Marketplace procurement.
How can I pay for Langfuse?
Langfuse payment methods: Visa, Mastercard, American Express, JCB, Discover, Diners Club, and UnionPay.
What languages is the Langfuse interface available in?
The Langfuse interface is available in: English.
What platforms is Langfuse available on?
Langfuse is available on: Web, API, MCP Server, CLI, Self-hosted, and Service Integrations.
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