Open source AI engineering platform. Now part of @clickhousedb. We're hiring: https://teapawt.net/t.co/k6dgv4dws2
github.com/langfuse/langfuse
Joined July 2023
- Tweets1.1K
- Following682
- Followers6.8K
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langfuse.com retweeted
Join me for a live lecture on this tomorrow 10am PT! thegenacademy.com/lesson/opt…
Editing the last slides, really enjoying how simple and clear some of them are
RT @marliessophie: We 100x our team in 2 years.
> Then: @langfuse offsite 2024 with 7 people
> Now: @ClickHouseDB offsite 2026 with 800 p…
langfuse.com retweeted
Ask Halo challenge
The brief: find out why eligible customer applications were getting rejected.
In seven minutes, @langfuse's Halo:
- found an ignored €6,000 subsidy in traces
- tested a revised prompt and
- made it live, fixing the application workflow
Here's the demo.
langfuse.com retweeted
SubQ Snap is now available in @langfuse.
Model ID: subq-snap-preview
langfuse.com/changelog/2026-…
langfuse.com retweeted
Here you see Halo help me get started with evals. It looks at my project, determines that the best first step is capturing user feedback signals, and proposes a list of signals I could capture.
Really helpful when starting out, Halo can be a great sparring partner in getting to a good observability setup
langfuse.com retweeted
You can also access jev via @OpenRouter now on @langfuse to power your evals
Jev by @typesafeai is now on OpenRouter, in beta.
Jev is a System One model. Instead of generating text, it takes your app's state plus a typed question and returns a typed decision with a probability attached. There is no JSON prompting, parsing layer, and nothing to validate against.
langfuse.com retweeted
organizing a chill 5k run with Outrun and our friends at @langfuse before AI Engineer Paris next week.
> Thursday, September 24, 7am
> Harvest (11e)
> Breakfast and coffee after (on us 👀)
Sign up here:
luma.com/langfuse-umkb
@saishrane_
langfuse.com retweeted
Props to @langfuse for their excellent docs and learning materials! 👏
If you’re trying to wrap your head around concepts like LLM observability, monitoring, and evaluations, these resources are well worth checking out:
🎓 Academy: langfuse.com/academy
🛠️ Workshop: langfuse.com/workshop
📚 Guides: langfuse.com/guides
langfuse.com retweeted
New to Langfuse?
Try langfuse.com/workshop to explore all capabilities based on a funny example application
It is really good now thanks to @annabellschfr!
langfuse.com retweeted
Singapore, our next meetup is headlined by Max Deichmann, Co-founder & CTO of Langfuse 🎤
Building AI Products
🗓️ Friday, Sept 25 · 6:00 PM · AWS Office | Singapore
Langfuse is the open-source LLM engineering platform used by thousands of teams to trace, evaluate, and debug AI applications — and it runs on ClickHouse under the hood.
Max's talk, "Trace It, Store It, Ship It," goes past the demo stage into what production actually demands.
Seats are limited and registration requires approval: buff.ly/zLpT5ZQ
Want to speak at a future APJ meetup? buff.ly/ak4tJO8
#ClickHouse #Langfuse #Singapore #LLM #AIEngineering #Observability
langfuse.com retweeted
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
langfuse.com retweeted
One thing I’ve learned from building memory systems: memory is easy to describe at a high level, but surprisingly hard to inspect in practice.
That’s why the EverOS integration with @langfuse has been so valuable. It makes the full memory lifecycle visible: what gets stored, what gets recalled, how conflicts are resolved, and what each step costs.
That visibility helps users understand the system, while helping us see exactly where EverOS can improve next.
Big thanks to the @Langfuse team. Excellent product, and a genuine pleasure to work with.
Memory is the one layer of the agent stack observability can't see.
EverOS speaks OTel natively now, so memory operation land in @langfuse: what got stored, what got recalled, how confident that recall was, how conflicting memories got merged, and what it cost.
Stop guessing why your agent forgot:
langfuse.com/integrations/ot…
langfuse.com retweeted
Evaluators and datasets are very closely linked, great write-up by @annabellschfr!
langfuse.com retweeted
this is like lebron moving to the 76ers for the database nerds
clickhouse.com/blog/andy-pav…
langfuse.com retweeted
👊I've joined the crew at @ClickHouseDB to establish the *ClickHouse Labs* research group. We'll be working side-by-side with ClickHouse devs to cook up new ways to make the system even faster. I'll also be exploring new topics related to PostgreSQL. clickhouse.com/blog/andy-pav…
langfuse.com retweeted
ClickHouse is joining the Open Secure AI Alliance alongside @nvidia and other industry leaders to help build open tools that keep AI agents secure.
@langfuse is our open-source, MIT-licensed platform for agent tracing, evals, and guardrail monitoring. It works with any model and harness, runs air-gapped on your own infrastructure, and stores every trace in ClickHouse, which is also open-source under Apache 2.0.
Agent security runs on evidence, and traces are that evidence, which is why the audit layer for AI agents should be as open as the models they run on.
Read more: clickhouse.com/blog/open-sec…
langfuse.com retweeted
I'll be speaking at @ClickHouseDB user conference Open House in London at the end of September. Registrations are now open & I'm very much looking forward to being in 🇬🇧
- clickhouse.com/openhouse/lon…
