Launch Week #5
Five days. Five drops. New building blocks for taking AI applications from prototype to production. Unveiled live at ClickHouse OpenHouse.
One drop a day, every day.
Monday through Friday.
We'll unwrap a new feature each day and update this page as each one ships. Subscribe to the newsletter or follow us so you don't miss a drop.
Langfuse agent skill.
Building an agent is easy. Getting it to production is hard. You set up tracing and evaluators, but how do you know what your agent's real failure modes are? How do you know your LLM-as-a-judge is actually calibrated against your human annotators?
The Langfuse Skill lets you hand your AI coding agent a playbook for working with Langfuse. It teaches Claude Code, Cursor, Codex, etc. how to instrument an app, query traces, manage prompts, and set up evaluators. Drop it into your editor, then describe the job in plain language and the agent runs with it.
In the video below, Marlies uses the LLM-as-a-Judge calibration skill with Codex to produce a full analysis with accuracy, F1, precision, recall, and cost, all graphed directly in the new Langfuse Experiments view.
Experiments in CI/CD.
Run your Langfuse experiments inside GitHub Actions. The new action tests every pull request against a Langfuse dataset, fails the workflow when scores drop below the threshold you set, and posts the result back to the PR as a comment. Every run is tracked in Langfuse so you can dig into regressions later.