A clearer way to debug changing AI agent runs
can work once and then behave differently the next time. The difference may be a different , different arguments, an unexpected branch, a loop, or a state problem. A trace may exist, but the hard part is still finding the exact point where the behavior changed.
A proposed tool compares a replay with a and highlights the first place where the two runs drift apart. Current ways to handle this include LangSmith, Langfuse, evals, custom logs, and manual trace comparison.
Key points
- may behave differently across repeated runs of the same task.
- The difference can come from , arguments, branching, loops, or state problems.
- A trace records the run, but it does not automatically explain where behavior changed.
- Comparing a replay with a can reveal the first drift point.
- LangSmith, Langfuse, evals, custom logs, and manual trace comparison are possible approaches.