carl-core
Coherence math primitives for CARL — the foundational per-token field that every CARL metric derives from.
Install
pip install carl-core
Use
from carl_core import CoherenceTrace, compute_phi
# From logits:
trace = CoherenceTrace.from_logits(logits, token_ids=tokens, step=0)
print(trace.phi_mean, trace.cloud_quality, trace.carl_reward())
# Raw phi:
phi, probs, entropy = compute_phi(logits)
What's inside
CoherenceTrace— per-token coherence field (phi, entropy, selected_prob, delta_phi)CoherenceProbe/CoherenceSnapshot— probe + snapshot for training-step metricsCoherenceObserver— periodic Claude-backed training health assessmentFrameBuffer/FrameRecord— rolling temporal Phi buffercompute_phi()— order parameter from logits:phi = 1 - H/log|V|- Constants:
KAPPA = 64/3,SIGMA = 3/16,DEFECT_THRESHOLD,T_STAR(d) InteractionChain/Step/ActionType— typed interaction trace
Depends on
numpy, pydantic.
Part of
Carl Studio — Coherence-Aware Reinforcement Learning. Full docs: https://github.com/wheattoast11/carl
1 maintainer
Metadata
1 maintainer
Release files for carl-core 0.3.0
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