What is Langfuse?
Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications. All platform features are natively integrated to accelerate the development workflow.
Langfuse is open. It works with any model, any framework, allows for complex nesting, and has open APIs to build downstream use cases.
Docs: https://langfuse.com/docs
Github: https://github.com/langfuse/langfuse
Pros & Cons
Pros
- LLM observability
- Open source
- Detailed tracing
- Monitoring capabilities
- Cost-effective
- Easy to integrate
- Free tier
- SDK availability
- Seamless integration
- Debugging tools
- Fast iterations
- Insightful analytics
- Community engagement
- Detailed analytics
- Excellent UI
- Flexible architecture
- Open API
- Robust telemetry
Tool Details
| Categories | AI Infrastructure Tools, AI Metrics and Evaluation |
|---|---|
| Website | langfuse.com |
| Became Popular | August 20, 2023 |
| Platforms | Web |
| Social | Twitter · LinkedIn · GitHub |
Recent Reviews (11)
Without Langfuse, we would have been flying blind with our drafting agent. This platform is critical not just for measuring performance, but for understanding exactly what context gets pulled into our drafting agent. The key benefits of Langfuse are: 1) (Real-time) visibility into agent performance 2) Detailed tracing that shows our system's decision-making process including the context 3) Open source with self-hosting options (huge win for us) Being able to host Langfuse on our own infrastructure while getting enterprise-grade LLM observability is exactly what we needed. Highly recommended for teams serious about understanding how their LLM systems actually work and to figure out how to improve them.
So excited to see Langfuse go live — we've been a happy user for 4 weeks now. Most detailed latency and analytics in the market. Highly recommend for anyone using complex chains or with user-facing chat applications, where latency becomes crucial. Congrats, Clemens, Marc, and Max!
We’ve been unsung Langfuse for 2 months now. It’s easy to integrate and makes it simpler for us to monitor & debug LLM requests during development and beyond.
Langfuse has been indispensable for us in leveraging LLMs. Its detailed tracing provides unrivaled clarity, streamlining our debug times and offering insights into both LLM and non-LLM actions. With seamless integrations, from Langchain to their SDKs, and insightful analytics on cost, feedback, and latency, it's the must-have tool for anyone in the LLM space. A bonus: their commitment to open source means flexibility for developers and is in line with the decentralized nature we love in crypto. Kudos to the Langfuse team!
Needed to make sense of any LLM effort quickly.
Solid observability features combined with TS SDK made Langfuse a go-to solution for bootstrapping new AI products. Previously used LangSmith and Helicone, where Langfuse stands out - pricing plan that favors early-stage products and offers more value for the price.
We use Langfuse to monitor our GPT usage - specifically to watch for token usage, monitor hallucinations, and trace through request history when things go wrong. Great product and even greater team! Highly recommend trying Langfuse!
12 months ago I discovered Langfuse and I've been a happy user ever since. Langfuse made it super easy for me to find & fix weird edge case responses of LLMs and build a new architecture that is much cheaper and more stable.
I've been using Langfuse from day 1 for my LLM package "tinyllm" and all my LLM apps. It just works and the team is fast and very helpful. Probably the best open-source tool/experience I've ever had.
It's easy to integrate in my workflow and you get a bunch of reports and details that would be impossible to do on your own. I love that they offer free cloud version, at least for now.
Langfuse is a gamechanger! thank you team
Frequently Asked Questions about Langfuse
When did Langfuse become popular?
Langfuse became popular around August 20, 2023.
What are the main advantages of using Langfuse?
The top advantages of Langfuse include: LLM observability, open source, detailed tracing, monitoring capabilities, cost-effective.
What is Langfuse's overall user rating?
Langfuse has an overall rating of 5.0/5 based on 41 user reviews.
What type of tool is Langfuse?
Langfuse belongs to the following categories: AI Infrastructure Tools, AI Metrics and Evaluation.
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