About
LangSmith LLM Observability provides a robust framework for tracing the execution flow of AI agents and chains, allowing developers to visualize inputs, outputs, and intermediate steps in real-time. It enables systematic evaluation of model performance against custom datasets, tracks critical production metrics like latency and token costs, and facilitates iterative prompt engineering through versioned feedback loops. This skill is essential for developers moving AI prototypes into production who require reliable debugging, regression testing, and high-fidelity quality assurance for their LLM-powered features.
