opik-rigor 0.2.0

Source: Pypi.org· August 14, 2026

SynaBot summary

A new version of the opik-rigor library, 0.2.0, has been released. This open-source tool enhances Large Language Model (LLM) testing by providing statistical assertions and a pinned-judge evaluation system for greater reliability.

Key takeaways

New opik-rigor version 0.2.0 released
Enhances LLM test suite reliability
Introduces statistical assertions
Features pinned-judge evaluation

Why it matters

For professionals using AI assistants, this update improves the rigor of LLM testing. It means more dependable AI outputs and a stronger foundation for integrating AI tools into workflows, reducing errors and increasing trust.

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