langfuse.com (@langfuse) / X

langfuse.com

958 posts

langfuse.com

@langfuse

Open source AI engineering platform. Now part of @clickhousedb. We're hiring: langfuse.com/join-us

github.com/langfuse/langfuse

Joined July 2023

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langfuse.com
@langfuse
May 14
Building high-quality AI systems is hard. At Langfuse we see the best AI teams converging on a process to get complex AI systems to production. We call it the AI Engineering Loop. Check out the first piece of our series and find out more in our academy
Annabell
@annabellschfr
May 14
Article
The AI Engineering Loop - Building quality AI Systems that scale
This is one piece of a series we’re publishing as part of the Langfuse Academy, where we walk through the full AI engineering lifecycle. The AI Engineering Loop Building high-quality AI systems that...
langfuse.com
@langfuse
Jul 28
Great example for openness of Langfuse as agents are built across all technology stacks. Here for example using the integration with Koog (@jetbrains) on Kotlin.
John O'Reilly
@joreilly
Jul 3
Example here of 2 cool features in Koog 1.0 (github.com/JetBrains/koog) #KMP ✅ support for OpenTelemetry integration on all platforms (langfuse here with agent running on Android) ✅ ability to run Google's LiteRT models locally (Gemma4 E2B here...running locally on Android)
langfuse.com
@langfuse
Jul 27
Meet @marcklingen in New York or Amsterdam to discuss all things Langfuse
Marc Klingen
@marcklingen
Jul 27
I'll speak at @ClickHouseDB OpenHouse in New York (Sep 10) and Amsterdam (Sep 1) to share what's new at @langfuse. In New York, I'll be joined by the @tryramp team, who will share how they use Langfuse to accelerate their agent development. Very excited for this talk! Join me
langfuse.com
@langfuse
Jul 24
any table is a chart. toggle the observations table into a time series over the exact same query. same filters, same time range. p95 latency by model, count by environment, cost by name. one click adds it to a dashboard. langfuse.com/changelog/2026…
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langfuse.com
@langfuse
Jul 23
Langfuse speaks OpenTelemetry natively, so your LLM traces live right alongside the rest of your stack. Have a look at the video below to see how we use OTEL end to end 👇
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