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thomasfosterau/@thomasfosterau/effect-evals

An Effect-native LLM evaluation toolkit — goldens, scorers, thresholds, metrics (G-Eval, RAG, retrieval ranking: nDCG / recall / MRR / precision@k), a caching runner, and a CLI for *.eval.ts suites.

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Owner	thomasfosterau
License (as declared)	MIT
Stars	0
Forks	0
Main language	javascript
Created	21 October 2026
Last updated at source	21 October 2026

npmjavascriptaieffectevalevalsevaluationg-evalinformation-retrievalllmllm-as-judgendcgragrankingretrievalscorertesting

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