Open source AI engineering platform. Now part of @clickhousedb. We're hiring: langfuse.com/join-us
Joined July 2023
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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
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Jun 10
Langfuse x @NousResearch Hermes Agent integration is now available.
Hermes ships with a bundled Langfuse plugin, every conversation turn, LLM call, and tool use is traced automatically.
langfuse.com/integrations/ot…
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Jun 9
you can technically automate the entire AI engineering loop now
while it’s tempting, here’s what we think you should keep in your own hands to set your agent apart
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Jun 5
Now live: Langfuse x @openai Codex integration.
Trace every prompt, tool call, shell command, and token across your Codex sessions. Also available for Claude Code.
langfuse.com/integrations/ot…
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langfuse.com retweeted
Jun 4
had a lot of fun at the AI Engineer conference to go deep on:
(1) how we think about the role of skills
(2) how to develop/eval/improve them
(3) lessons from building our own set of skills
Jun 4
Skill issue: Lessons from skilling up coding agents
Getting agents to actually use Langfuse was a "skill issue" — literally. Marc Klingen from Clickhouse on teaching coding agents to use new tools, and why it's harder than you think.
youtube.com/watch?v=vNCY9kXX…
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Jun 4
quarterly Langfuse Town Hall on June 11th
catch up on everything we've shipped: v4, the latest releases, and what's coming next on the roadmap. Q&A with the team at the end.
open to the whole community. register: luma.com/7dny2x72
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Jun 3
The Vercel AI x Langfuse integration finally has a proper walkthrough video. No excuses not to set it up now.
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langfuse.com retweeted
Jun 1
team langfuse will be hanging out at the grove on wednesday this week. Meet us for coffee and drinks in the pm --> luma.com/clickh-0h6k
Jun 1
Coming to SF for Snowflake Summit? Meet our team next to Moscone for coffee, drinks & database agent observability talk
clickhouse.com/clickhouse-ca…
cc @ClickHouseDB
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Jun 1
Coming to SF for Snowflake Summit? Meet our team next to Moscone for coffee, drinks & database agent observability talk
clickhouse.com/clickhouse-ca…
cc @ClickHouseDB
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May 29
day 5 of launch week: langfuse MCP.
supports: observations, metrics, scores, datasets, comments, annotation queues, models, media, and more.
claude or linear agents can pull a trace, drop a comment, or create dataset items without leaving the chat.
langfuse.com/launch
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May 28
day 4 of langfuse launch week: code evaluators.
write a python or typescript `evaluate` function in the langfuse UI. attach it to live observations or an experiment. scores land natively next to your existing ones.
@wochinge demos below; langfuse.com/launch
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May 27
day 3 of langfuse launch week: full-text search.
multi-GB scans drop from many seconds to sub-second on @ClickHouseDB's new text indexes. great work from @sum3rman.
available via UI and API.
more: langfuse.com/launch
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May 26
day 2 of langfuse launch week 5: langfuse agent skill.
bringing an agent to production is hard.
using the skill you can ask your coding agent to instrument your app, calibrate a judge, or set up evaluators.
@marliessophie demos below; langfuse.com/launch
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langfuse.com retweeted
May 25
day 1 of langfuse launch week 5: a github action that runs your langfuse experiments on every PR.
fails the workflow when scores drop below your threshold. posts pass/fail to the PR. every run is tracked in langfuse.
langfuse.com/launch
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May 22
Want to see what Claude Code is actually doing? We made a video showing exactly how to observe it in real-time with Langfuse.
Claude Code in Action: Trace Tool Calls & Decisions with Langfuse youtu.be/fsoBHf_WNmQ?si=0pp5…
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May 19
closing out the academy with evaluation
manual review, code-based checks, and llm-as-a-judge, and how to combine them
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May 18
good experiments require strategy and taste
understand the fundamentals before trying to automate them
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May 18
This is a great article by @annabellschfr - a lot of teams still get stucks on vibes and don't make it to actually systematically experiment with models, prompts, . context, architectures. dig in!
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