LangSmith Integrates Jev for Cheap Large-Scale Trace Mining That Feeds Directly Into Evals
hwchase17 · x · 2026-09-22
hwchase17 (LangChain founder) retweets the LangSmith team promoting Jev integration.
Key pitch:
- Use Jev for large-scale trace mining at a cost so low you likely don't need to sub-sample
- Understand every piece of trace data, turn it into evals and environments
- Build continuously improving agents from those evals
- LangSmith Gateway also lets you try OSS Jev variants to find the best fit for your tasks
The underlying bet: making the loop from 'observe production traces → auto-generate evals → iterate agents' cheaper and easier.
Related event: LangSmith Launches Jev-as-a-judge for Cheap Full-Trace Evaluation(2 posts)→
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