E-LAB-04 · EntropyLab · April 2026

ENTRO-ENGINE

Entropy Flow Regulator for Coupled Intelligence Systems.
Coordinating entropy flow between Scraper and LLM under a global budget constraint.

Ψ_total · Global Entropy State · Real-time Coordination

0.72

Ψ_total

BUDGET COMPLIANT · Within Ψ_budget

💻 GitHub Repository 📦 pip install entro-engine 📌 DOI: 10.5281/zenodo.19441032

01 · Core Innovation

Global Entropy Budget

Instead of controlling each system independently, ENTRO-ENGINE manages a shared entropy budget:

Global Budget Constraint

Ψ_total = Ψ_scraper + Ψ_llm ≤ Ψ_budget

Ψ_budget = 3.0 (γ=0.75, N=2, Ψ_c=2.0)

Control Law (Eq. 14)

u_i = -α · ρ_i · tanh(β · Δ)

α=0.5 (Control authority), β=2.0 (Pressure sensitivity), ρ_i = Ψ_i / Ψ_total

02 · Validation Results

Three-Phase Pipeline

Controller Budget Violations Peak Queue Peak Ψ_total

Uncontrolled 312 87.6 5.84

Static Limit 187 45.2 4.21

ENTRO-ENGINE 12 23.4 3.31

Metric Improvement

Budget Violations 96.2% reduction

Peak Queue Length 73.3% reduction

Peak Ψ_total 43.3% reduction

# pip install entro-engine
from entro_engine import ENTROEngineController

controller = ENTROEngineController(alpha=0.5, beta=2.0, psi_budget=3.0)
signal = controller.compute_control(psi_i=1.5, psi_total=4.0)

# → Output
u = -0.225 · Budget compliant

"A single engine regulates itself. A fleet of engines requires a coordinator.
ENTRO-ENGINE is the coordinator — not because it overrides each engine's autonomy,
but because it holds the budget that no single engine can see alone."

— Samir Baladi · ENTRO-ENGINE · April 2026