Agent Evaluation / Agent Tracing
LangSmith
Tracing, evaluation, and debugging for LLM applications.
Best when teams need to connect traces, datasets, experiments, and production monitoring around agent quality.
Use LangSmith when agent quality needs an operating loop, not just ad hoc debugging screenshots.
Best for
- agent tracing
- eval datasets
- regression monitoring
Not ideal for
- teams that cannot send traces to a hosted service
- projects without enough runs to evaluate
Core concepts
tracesdatasetsexperimentsfeedback
Minimal implementation shape
Log traces from a pilot, convert failures into a small dataset, rerun after prompt/model changes, and compare cost plus quality.