#Langfuse

Helicone got acquired. Langfuse got acquired. Two of the most trusted tools in the LLM observability...

Learn how to self-host Langfuse, connect it to vLLM, and build full LLM observability with traces, tokens, latency, and dashboards — from scratch.

Learn manual tracing, LLM evaluation metrics, scoring, and vLLM health checks using self-hosted Langfuse for observability workflows.

From Dev.to - typescript: I Audited My AI Agents and Found That Most of Their Reasoning Wasn’t Observable

From Dev Community: Beyond Langfuse: Why Your AI Agent Monitoring Deserves Better Than Generic Observability Platforms

Originally published on NextFuture On May 2, 2026, two analyses of the LLM observability category...

You know that feeling when your AI agent starts burning through your API budget at 3 AM and you only...

LLM observability explained for ML engineers. Covers metrics, traces, logs, tools (Langfuse, Arize, OpenTelemetry), Python implementation, and RAG-specific monitoring. No fluff.

Originally published on NextFuture On April 13, 2026, the Langfuse team shipped an experiments...

Originally published on NextFuture Picking the best LLM observability tools used to mean choosing...

From Dev.to - java: You're Flying Blind: Adding LLM Observability to Spring AI with OpenTelemetry and Self-Hosted Langfuse