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Langfuse Prompt Experiments

Open Source LLM Engineering Platform

Open Source
Developer Tools
Artificial Intelligence
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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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Hi Product Hunt 👋👋👋 I’m Clemens, co-founder of Langfuse. We are so excited to be live on Product Hunt again today, launching the biggest feature yet: Langfuse Prompt Experiments! This new feature is designed to close the loop of developing and improving LLM applications. With Prompt Experiments, you can test and evaluate different prompt versions and LLMs on hundreds of examples simultaneously; Perform live LLM-as-a-judge evaluations and compare results in our new Dataset Comparison View to optimize prompts for your specific use case. You can quickly make prompt changes, see whether they improve metrics without causing new issues, and then deploy to production with confidence. Move faster on your LLM Application development than ever before. A few things you should know about Langfuse: 👣 Tracing: TS & Python & API + OpenAI, Llama Index, LangChain, LiteLLM + many more ✏️ Prompt Management: Collaboratively manage and deploy prompts from within Langfuse ⚖️ Evaluation: Automatically run evals to control for hallucinations or other criteria you care about 💾 Datasets: Collaboratively manage fine-tuning, testing and golden datasets 🧪 Dataset Experiments: Test different prompts and models on hundreds of traces simultaneously 📊 Metrics: Dashboards and analytics on cost, latency and quality 🕹️ LLM Playground: Engineer your prompts and directly see results 🏎️ Export & Fine Tune: Open GET API and csv/JSON exports to build downstream use cases 🚄 Scale: We’ve invested significantly in scaling and resilience as we’ve scaled to thousands of users and handle many many millions of events a day 🧑‍🤝‍🧑Community: Join our thousands of users on GitHub Discussions and Discord See for yourself: ⭐ GitHub: https://github.com/langfuse/lang... ⏯️ Interactive Demo: https://langfuse.com/demo 📒 Docs: https://langfuse.com/docs 💬 Discord: https://langfuse.com/discord Thanks again, PH community. This is where we started, and we are incredibly grateful for all of the community feedback which led to the development of this major new feature. We’re excited and will be in the comments the whole day to hear your thoughts & feedback!

Comment highlights

Congrats on the launch guys!! We're excited to not "guesstimate" anymore with more insights now!

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?

Congratulations on the launch team. OpenFunnel agents are happy and excited users of Langfuse <3

Congrats on the launch today, I've been enthusiastically following your launch week!

Congrats team on the producthunt launch and the whole launch week! Really big fan of the new features around experimenting with prompts and the new eval features! Glad to have not to do any more vibe-based evaluation!

🚀 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!

When Langfuse was released early, I was one of the users, and I integrate into my chatbot. It was smooth. Congratulations on launch.

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?

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!

What differentiates it from other platforms? Would love to learn more about the features and benefits. Keep up the great work

Congrats on launching your prompt experiments feature! Excited to see what follows 🔥