Versalist vs LangSmith
Test an agent change before it ships. Start with domain challenges in Versalist, or build evaluations from your traces in LangSmith.
Two starting points
Versalist
Start with challenges
Explore ready-made challenges for agent tasks, or create challenges from your own workflows. Review the evidence before you release a change.
LangSmith
Start with your traces
Turn traces into datasets and run evaluations on them. LangSmith also traces and evaluates agents in production.
Side by side
Both products help teams evaluate changes. Their starting points and production focus differ.
| Area | Versalist | LangSmith |
|---|---|---|
| Domain challenges | Explore a library of ready-made challenges, including domain-specific tasks. | The dataset documentation describes ways to create datasets rather than a ready-made domain challenge library. |
| Test cases | Start with challenges from the library or create challenges for your own workflows. | Create datasets by hand, from CSV or JSONL files, or from production traces. LangSmith can also generate synthetic examples. |
| Compare a change | Compare eligible completed runs on the same cases and rubric, and review per-case results. | Compare experiments side by side against a source experiment, with regressions and improvements highlighted for each example. |
| Release review | A review owner can record Ship, Hold, or Needs work with the comparison. | Evaluations can run in pytest or Vitest/Jest, and regression tests can require a new version to beat the baseline. Annotation queues let people review runs. |
| Production monitoring | Versalist focuses on evaluating changes before deployment. | Trace production traffic and run online evaluators for monitoring, anomaly detection and alerting. |
Choose the starting point that fits
Consider LangSmith if
- You want to trace and evaluate an agent in production.
- You want to turn production traces into test datasets.
Consider Versalist if
- You want to explore challenges before you have production logs.
- You want ready-made challenges alongside cases for your own domain.
Use both
The products can work together. Evaluate a change with Versalist before release, then use LangSmith to monitor the agent in production.
Review your next agent change
See how challenges and comparison evidence can support a release decision for your workflow.
Request a demo