carl-core 0.1.2

Coherence math primitives for CARL (Coherence-Aware Reinforcement Learning)

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 metrics
• CoherenceObserver — periodic Claude-backed training health assessment
• FrameBuffer / FrameRecord — rolling temporal Phi buffer
• compute_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