Agent Observability with LangSmith, Langfuse, and Arize: A Hands-On Comparison

Short summary

Production AI agents often fail in ways that are hard to detect: tools loop infinitely without learning, retrieval returns garbage, and costs spike unexpectedly. LangSmith, Langfuse, and Arize are three observability platforms designed to surface these failures. This hands-on comparison helps developers evaluate and choose the right monitoring solution for their stack.

• •Production agent failures are difficult to detect without proper observability tooling
• •LangSmith, Langfuse, and Arize are three major platforms for agent monitoring and debugging
• •Hands-on comparison helps teams select the right solution for their architecture

Generated with AI, which can make mistakes.