Ask Nikhil

If you're building anything with LLMs in production, you eventually hit the same wall: you need to know what your app is actually doing — what prompts went out, what came back, how much it cost, and why it broke at 2am. That's observability, and two names keep coming up: Langfuse and MLflow. Before comparing them, it's worth laying out what you're actually trying to observe — because observability means something different at each layer of a modern AI system. LLM observabilit