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CI evaluation framework for RAG and AI agents: groundedness, retrieval quality, hallucination, citations, latency, cost, and regression gating before production.
pip install rag-agent-eval-ci
PyPI declares 37 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.12>=13.7>=2.6>=2.2>=6.0>=0.27>=2.0>=3.1>=1.0The compact report shows 12 of 37 declarations. The interactive dependency graph loads the complete metadata.
rag-agent-eval-ci publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .