styxx
Last released
Cognitive observability for LLM agents. @styxx.profile returns a per-step cognometric readout: drift, confabulation, refusal, sycophancy, phase transition, low trust, incoherence. Calibrated AUC: 0.998 hallucination (HaluEval-QA), 0.976 refusal (XSTest-GPT-4), 0.943 tool-call drift (BFCL v3) — register instruments with documented construct ceilings. Reference implementation of the Cognometric Fingerprint Spec v1.0. No torch, no GPU, no LLM in the loop; base install is numpy + scikit-learn.
