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Langfuse Prompt Experiments — Open Source LLM Engineering Platform
Langfuse is the #1 open source LLM engineering platform. It helps teams iterate on and improve their LLM applications: LLM tracing, metrics, llm-as-a-judge, evaluations, prompt management, datasets testing and more. Create a free account or self-host Langfuse.
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Just started using LangFuse this week, very nice so far! This addition looks like it will be useful.
It seems your prompt management only works with text messages (not eg image parts), is that right?
@matt_holden1 yes, currently text/chat-only. We have a thread to track multi-modal prompt management here on GitHub: Langfuse.com/ideas
Thank @0xinhua for joining early and providing continuous feedback. Excited to build Langfuse with you and the community!
🚀 Congrats, this is BIG! 🚀
Very excited to see how far you have come in just one year! And so excited to see how much further you will go from here.
✨ Very exciting product and a great team! ✨
⭐️⭐️⭐️⭐️⭐️ Recommended!
Wohoo, so happy to be back on Product Hunt. Will be in den comments all day, happy to answer any questions you might have!
Congratulations on the launch team. OpenFunnel agents are happy and excited users of Langfuse <3
thanks @marc_metz, prompt and mode changes can be very risky. Glad that we can help mitigate some of the risk with langfuse now via strong evals and tests -- without needing to use our SDKs
@tobiaskemkes Thanks, Tobias! I just read about your prompt-focused launch yesterday. I need to give it a try this weekend.
Congratulations on the launch!! 🚀We have been using Langfuse from day one and it helped us tremendously in getting deep visibility into the performance of our AI stack!
thank you, @jonas_beisswenger. Let us know if you have any feedback based on your experience with Langfuse OSS!
@dan_meier1 this is the main goal, move to more structured evaluation which helps to confidently make decision - without having to set up a whole testing suite and thus making this more accessible to everyone involved in prompt engineering
thanks @felix_vemmer, ping me when you have questions or feedback! hope this helps you move faster
Hi @samalyx, thanks for asking!
We have some pages on this that might be helpful:
- features: https://langfuse.com/docs
- why teams use langfuse: https://langfuse.com/why
let me know in case you have any detailed questions on features that you are interested in
I really love that feature. Such a game changer, saves tons of time and keep quality of AI integrations high. Love it <3
Thank you, @mathias_n, for your feedback! Please DM or share here if you have any additional ideas on how to improve this.
Congrats on launching your prompt experiments feature! Excited to see what follows 🔥
Congrats on the launch! Langfuse looks like a game-changer for LLM development. How do you see it transforming the way teams build and optimize their language models?
@ihuzaifashoukat teams working with LLMs often have similar issues: evaluation of outputs, various inputs, reasoning steps within agentict systems. We have summarized this here in "challenges of building llm applications": https://langfuse.com/docs
thank you @maxjbre! can't wait to see what you'll do at MagicAds with it to move faster without breaking things
Congrats on the launch guys!! We're excited to not "guesstimate" anymore with more insights now!
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