AI BriefingIntroducing Pytest and Vitest Integration in LangSmith Evaluations
Key point
LangSmith has launched beta versions of Pytest and Vitest/Jest integration features to enhance the convenience of LLM evaluations.
Details
The LangChain team has released beta versions of Pytest and Vitest/Jest integration features for LangSmith to improve the reliability of LLM applications. These features are available starting from LangSmith Python and TypeScript SDK v0.3.0.
You can leverage LangSmith's visibility and sharing capabilities while maintaining the familiar developer experience (DX) of existing testing frameworks. The key benefits are as follows:
- Debugging Support: By saving inputs/outputs and stack traces, you can identify the root cause of issues, taking into account the non-deterministic nature of LLMs.
- Metric Recording: Beyond simple pass/fail results, you can record feedback and track performance changes over time to prevent regressions.
- Team Collaboration: Easily share experiment results with experts involved in prompt engineering and evaluation processes.
- Built-in Evaluation Functions: Python users can utilize built-in evaluation functions useful for validating LLM outputs.
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