Factual package intelligence from PyPI
Drop-in observability for LLM applications — quality scoring, hallucination detection, cost tracking, and agent run debugging.
pip install llm-evaltrack
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.27llm-evaltrack publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.