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Eval gates with confidence intervals: deterministic gates, calibrated LLM-as-judge, agentic-trace evals, and a statistically honest regression gate for LLM pipelines
pip install llm-evalgate
PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.7llm-evalgate publishes 1 wheel and 1 source archive for version 0.6.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 6 releases with files. The first dated release is ; 6 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .