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Langfuse 2.0 โ the open source LLM engineering platform
Langfuse is the open source LLM Engineering Platform.
It provides observability, tracing, evaluations, prompt management, playground and metrics to debug and improve LLM apps.
Langfuse is open. It works with any model, framework and you can export all data.
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Replies
@marc_klingen @max_deichmann @clemo_sf opensourcing LLM engineering platform is great thing in the AI space. Keep up the good work. Congratulations
@marc_klingen @max_deichmann @clemo_sf Really amazing product, best in class, Congratulations langfuse team!
Congrats on Langfuse 2.0! From observability to a full LLM engineering platform, impressive growth! The features are powerful, catering to user needs. Like snazzystep shoes, Langfuse empowers users to excel. Best wishes on your Product Hunt launch!https://snazzystep.com/wp-admin/
Really happy with the product. It's very intuitive
- Traces work very well for Agentic Workflows
- Scores is another great feature to help us create datasets for finetuning
- Plus, looking forward to your new eval feature!
@aqib_ansari thanks Aqib, appreciate your continuous product feedback a lot! It really helps us build the best product and continuously learn what your team needs to build the best agents ๐
A great product to productionize your LLM applications. Once you create a prototype, the next step is understanding the cost structure, and tracing the paths - and Langfuse helps you to solve those challenges. The new decorators make it easy to track anything easily from your code.
Good luck with the launch!
@tevfik_oytun_aloglu thanks Tevfik, appreciate your feedback. The decorator has been a big step up recently, glad you like it!
@david_nordhausen Thanks David! We cooked for a bit and dropped it all at once as Clemens was like last week, โwe should just do a launch weekโ
@clemo_sf @hamza_zia Thanks Hamza! The decorator-based integration has been a big upgrade to tracing in Langfuse. We wrote a short piece on it here: https://langfuse.com/blog/2024-0...
@karmedge thanks for your kind words, let us know if you have any feedback! love what you built with Fixkey: https://www.producthunt.com/prod...
@clemo_sf @marc_klingen @max_deichmann congrats on the launch! It's awesome to follow your journey which is truly lightspeedy. ๐ฅ
@clemo_sf @max_deichmann @sebastian_schuller thanks for your excitement and support, really appreciate it โค๏ธ
@dan_meier1 thanks, the decorator is for sure the biggest upgrade to the Langfuse developer experience in Python!
We wrote a more technical blog post on it here: https://langfuse.com/blog/2024-0...
@felix_vemmer thank you! list of all the latest releases: https://langfuse.com/changelog
let me know if you have any feedback!
Congratulations to Clemens, Marc, and Max on the launch of Langfuse 2.0 on Product Hunt! ๐ It's incredible to see how Langfuse has evolved into a comprehensive LLM Engineering Platform, providing vital tools like tracing, evaluations, metrics, prompt management, and more for developers.
The dedication to building an open source platform that caters to the needs of LLM apps is truly commendable. The enhancements in Langfuse 2.0, from new tracing capabilities to prompt management and dataset functionalities, showcase a significant leap in empowering developers to debug and enhance their applications efficiently.
I'm curious about the community engagement aspect you mentioned. How has the interaction been with users on GitHub Discussions and Discord influenced the development of Langfuse? Looking forward to exploring Langfuse 2.0 and witnessing the impact it creates in the developer community! ๐ฉโ๐ป๐
@mashy thank you!
GitHub Discussions have been essential (next to bug reports via GitHub issues) to build a useful product. Our community has been super awesome and you can have a look at all the discussion that has been going on around langfuse here: https://langufse.com/ideas
Congrats on the launch, Clemens and team! Been using the product since the start and love the execution speed!! Particularly excited about the new tracing and prompt management features. Excited to explore more!!
@roman_geu Thanks Roman! Appreciate your support since day one, no matter if it is product or general founder/life advice. Thank you ๐
Congrats on launching Langfuse 2.0! @clemo_sf An open-source LLM Engineering Platform providing observability, tracing, evaluations, prompt management, playground, and metrics. Debug and improve LLM apps easily with Langfuse. It's open, works with any model or framework, and allows exporting all data. How does Langfuse ensure compatibility with different frameworks and models?
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