DeepEval: CI-Gated Typed Metrics for LLM Outputs
DeepEval is an open-source Python framework with 50+ ready-made metrics for LLM outputs: faithfulness, hallucination, toxicity, bias, G-Eval rubrics, agent and conversation metrics, plus deterministic checks. You build test cases, score them with metrics, and fail CI when a score drops below its threshold. This is the complete reference.
Read Morepytest for LLM Evaluation: Parametrized Tests, Fixtures, and CI Gates
pytest is the runner that ties the eval pyramid together — parametrized golden datasets, fixtures for model connections, invariant checks, and sampling loops. No extra framework needed.
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