Continuously Improving Agents with Langfuse — Annabell Schäfer & Lotte Verheyden, ClickHouse
Lotte Verheyden and Annabell Schäfer build that monitoring workflow with Langfuse and a sample support agent called Specs.
Proof1 independent outlet
Key points
- A frustrated user types in all caps and tells an IT support agent that its answer did not work.
- Those interactions become signals that a team can find in production traces, rather than anecdotes lost in a chat history.
- The hands on setup connects a TypeScript application built on the OpenAI Agents SDK to Langfuse.
- 6:38 - Monitoring and user feedback
Sources (1)
- [1]Continuously Improving Agents with Langfuse — Annabell Schäfer & Lotte Verheyden, ClickHouseAI Engineer (YouTube) · Oct 11, 06:00 PM
Lotte Verheyden and Annabell Schäfer build that monitoring workflow with Langfuse and a sample support agent called Specs.
A frustrated user types in all caps and tells an IT support agent that its answer did not work.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 11, 2026openai/openai-python v3.29.0
- Oct 11, 2026Building Self-Learning Loops for Your Agent — Fuad Ali, Arize AI
- Oct 10, 2026Satya Nadella says we should assume all AI models are ‘compromised’
- Oct 9, 2026openai/codex rust-v0.162.1: 0.162.1
- Oct 9, 2026Microsoft's Decision-1 model enters the fast-growing AI decision model race
- Oct 9, 2026New Math from OpenAI
