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Langfuse

Langfuse

Software Development

Open Source LLM Engineering Platform - now part of Clickhouse

About us

Langfuse is the 𝗺𝗼𝘀𝘁 𝗽𝗼𝗽𝘂𝗹𝗮𝗿 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗟𝗠𝗢𝗽𝘀 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. It helps teams collaboratively develop, monitor, evaluate, and debug AI applications. Langfuse can be 𝘀𝗲𝗹𝗳-𝗵𝗼𝘀𝘁𝗲𝗱 in minutes and is battle-tested and used in production by thousands of users from YC startups to large companies like Khan Academy or Twilio. Langfuse builds on a proven track record of reliability and performance. Developers can trace any Large Language model or framework using our SDKs for Python and JS/TS, our open API or our native integrations (OpenAI, Langchain, Llama-Index, Vercel AI SDK). Beyond tracing, developers use 𝗟𝗮𝗻𝗴𝗳𝘂𝘀𝗲 𝗣𝗿𝗼𝗺𝗽𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝗶𝘁𝘀 𝗼𝗽𝗲𝗻 𝗔𝗣𝗜𝘀, 𝗮𝗻𝗱 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 to improve the quality of their applications. Product managers can 𝗮𝗻𝗮𝗹𝘆𝘇𝗲, 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲, 𝗮𝗻𝗱 𝗱𝗲𝗯𝘂𝗴 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 by accessing detailed metrics on costs, latencies, and user feedback in the Langfuse Dashboard. They can bring 𝗵𝘂𝗺𝗮𝗻𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗹𝗼𝗼𝗽 by setting up annotation workflows for human labelers to score their application. Langfuse can also be used to 𝗺𝗼𝗻𝗶𝘁𝗼𝗿 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗿𝗶𝘀𝗸𝘀 through security framework and evaluation pipelines. Langfuse enables 𝗻𝗼𝗻-𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝗲𝗮𝗺 𝗺𝗲𝗺𝗯𝗲𝗿𝘀 to iterate on prompts and model configurations directly within the Langfuse UI or use the Langfuse Playground for fast prompt testing. Langfuse is 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 and we are proud to have a fantastic community on Github and Discord that provides help and feedback. Do get in touch with us!

Website
https://langfuse.com
Industry
Software Development
Company size
2-10 employees
Headquarters
San Francisco
Type
Privately Held
Founded
2022
Specialties
Langfuse, Large Language Models, Observability, Prompt Management, Evaluations, Testing, Open Source, LLM, AI, Analytics, Open Source, and Artificial Intelligence

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Employees at Langfuse

Updates

  • View organization page for Langfuse

    10,415 followers

    Langfuse is now much more accessible for Agents: try the new CLI, skills, MCP server, and RAG api. Start with the skill as it helps agents onboard onto all of these features.

    This Valentines, we’re making Agents fall in love with Langfuse 💕: Skills, CLI, Markdown docs, MCP, public RAG API for our docs/issues, … Langfuse powers many of the best Agents out there. And our customers are using agents (Claude Code, Cursor et al) in their workflow to continuously monitor, evaluate and improve them. Now Langfuse is much more accessible for agents to help these teams accelerate. Highly recommend the write up on our blog by Felix, Lotte and Nimar on all the steps that we took. Link in comments. Happy Valentines!

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  • We're hiring our first product designer 🎨 The challenge: LLM observability tools are inherently data-dense. Traces, evals, prompts, metrics—lots of information engineers need to debug and improve their AI apps. Your job is to make this complexity feel simple. We're looking for someone with great taste who is technical and obsesses over developer UX. You'll own the interface end-to-end: simplifying complex workflows, designing filters that actually work, and making Langfuse the best devtool UI in the space. You'll talk to users a lot, and shape how thousands of teams interact with their LLM applications daily. Check out the job description and reach out if this sounds like your calling -> ordnl.link/fH2xFyJ

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  • Langfuse reposted this

    Langfuse joins ClickHouse! We started Langfuse in 2023 to solve a problem we kept hitting ourselves: building LLM apps is easy to demo, hard to run in production. Thousands of teams now use Langfuse to trace, evaluate, and iterate on their AI applications. As we scaled, we moved our data layer to ClickHouse, and that technical decision turned into a real partnership. We collaborated on features, shared customers, ran community meetups together. ClickHouse uses Langfuse internally; we're a large ClickHouse Cloud customer. Building Langfuse with the team is so much fun. If it was not for long conversations with Aaron, Yury, Alexey, Tanya, Ryadh, and Pete, realizing how much we can accelerate together, and the OSS and engineering focused culture that is super aligned, I would have never considered this path. Extremely excited to build together! Why we decided to join - Langfuse is a data-intensive product. Working closely with ClickHouse engineering helps us push performance and reliability faster than we could alone. - ClickHouse has every incentive to keep Langfuse fast and dependable at scale; we share customers, OSS deployments, and now a roadmap. - The culture is a match: open-source identity, developer-first instincts, performance as a product feature. What stays the same: - Ambition to build the best product possible to accelerate AI Agent deployment - Open source and self-hostable (no licensing changes planned) - Langfuse Cloud keeps running as-is - Team joins to keep building Langfuse and we will expand the team a lot Grateful for the community and team that got us here. This lets us put more resources behind building something we all care deeply about! Congrats all, Marlies, Hassieb, Jannik, Steffen, Felix, Nimar, Akio, Valeriy, Lotte, Leonard, Max and Clemens, the job is not finished, but today is a great day to celebrate! -> Blog post with full story in comments

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  • Curious how the best high-velocity teams run Product Engineering? We’re hosting a meetup with our friends at Tanso and Center for Digital Technology and Management (CDTM) to unpack the mechanics of the modern tech stack: merging Eng, PM, and Design to ship faster than ever. Join us for an evening of showcases and open discussion. Whether you are a (Product) Engineer, a Founder, or just curious about the shift—block your calendar and sign up here: https://luma.com/k2vmo9gh. Capacity is 80% full.

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  • View organization page for Langfuse

    10,415 followers

    Langfuse Context: How Superhuman built Agents that are used by millions (Jan 15) Together with our friends at Superhuman, we're hosting an exciting event next week in Berlin. This time our CEO Marc Klingen is joined by Ailian Gan (Director of AI Product at Superhuman). Sign-up link below, seats limited. Ailian and Marc will chat about how Superhuman builds and scales AI agents used by millions daily, covering their product team structure, how they identify LLM use cases that users actually need, and designing interfaces for mass-market adoption. The chat will be followed by drinks and food with lots of space for networking and discussions. Sign up here -> https://luma.com/lahwzvtt

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