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.
Have been using Langfuse for analytics for our chatbots and have to say its quite well done! Kudos to the team for such an amazing execution! I am definitely going to be a long term user.
Stellar work @max_deichmann , @marc_klingen , @clemo_sf ! If anything, I dare to say a bit too good for a launch ;). Stoked to test it out on some projects - godspeed!
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.
How does Langfuse manage to streamline the process of exploring complex logs and traces, making it efficient and user-friendly? Exciting to see how this tool can elevate app observability and analytics!
Easy to integrate and very intuitive to use!! Highly recommend for anyone developing chatGPT products. Amazing founding team who are super detail-oriented and understands LLM products deeply, and cool to see the evolution of the open source project every week!
This looks absolutely brilliant idea to track and stay informed about the performance of LLM applications. I am in the process of building one and certainly give it a try to measure my LLM app.
