LLM applications fail in ways normal logs do not explain: prompts, retrieval context, tool calls, outputs, and feedback interact. Langfuse treats those pieces as one engineering system.
What Sets It Apart
It combines observability, prompt management, evaluations, datasets, and a playground. OpenTelemetry and ecosystem integrations help connect LangChain, OpenAI SDK, LiteLLM, and custom stacks to shared debugging and improvement loops.
Who Should Use It
Great fit if a team is moving from prototype to maintained AI product and needs visibility over time. Look elsewhere if you only need ad hoc local debugging.
