Real ClickHouse capacity in Langfuse v4: 2,782 bytes per observation, and why almost half of that is not dataSep 15, 2026
Langfuse v4, day 2 (5 of 10): the worker's thirty-nine queues, and the three that decide whether you lose dataSep 14, 2026
Langfuse v4, day 2 (4 of 10): migrating from 3 to 4 with no window, and where the point of no return sitsSep 14, 2026
Langfuse v4, day 2 (3 of 10): two well-known agents instrumented, Open Deep Research and GPT ResearcherSep 14, 2026
Langfuse v4, day 2 (2 of 10): putting LangGraph in front, and what one agent turn costs in observationsSep 13, 2026
Langfuse v4, day 2 (1 of 10): the data model changed underneath, and what really goes into a traceSep 12, 2026
The gateway does not live alone: the JWT that does not validate the audience, the user who never reaches the trace, and the seams you have to write by handSep 12, 2026
LiteLLM and Langfuse: the operational pair, and the four places where the trace is lost between the gateway and the dashboardSep 7, 2026
Langfuse from the inside: the sorting centre that must not become the bottleneck it came to observeJun 6, 2026
Evaluating a RAG system without fooling yourself: RAGAS, the golden dataset and the four metrics that matterJun 4, 2026
LLM Guard: the sworn translator with a notebook of equivalences — anatomy, scanners and its integration with Langfuse, vLLM and LiteLLMJun 1, 2026
LLM tracing with OpenTelemetry GenAI: the aircraft black box the field stabilised in 2026May 27, 2026
Evals for LLMs: the layer after tracing that decides whether your model performs or only looks like it doesMay 25, 2026
The OSS catalogue for LLMOps in six stages: tool by tool, what each one does and when to choose itMay 23, 2026
AgentSight and the new LLM tracing: zero-instrumentation with eBPF against Langfuse, LangSmith, Phoenix and companyMay 19, 2026