Langfuse is a free, open-source LLM observability platform that helps engineers debug and understand their AI applications in production by recording model calls, agent steps, and tool use as structured traces. It can be self-hosted for free with no limits or used via a managed cloud service, offering the same SDKs and UI.
This content explains how to implement OpenTelemetry for tracing Claude API calls in production, addressing issues like slow requests, spiking costs, and poor responses. It highlights why traditional monitoring is insufficient for LLMs and how distributed tracing effectively provides visibility into latency, cost attribution, and soft errors.
This article explores how apcore integrates with OpenTelemetry to transform AI reasoning from a "Black Box" into a transparent, traceable "Glass Box." It introduces the concept of "Thought Span" for debugging non-deterministic AI Agent systems where traditional stack traces are insufficient.