How I Built Collapse Detection for Persistent AI Agents

Source: Dev.to

Key Definitions

• F_total – your model’s prediction error energy (cross‑entropy loss for LLMs, TD error for RL agents).
• F_survival – the minimum energy required to maintain operational integrity.
• k(s) – a sensitivity constant that grows with runtime.

Quick Start

from tci_calculator import TCICalculator
from k_estimator import KEstimator

k_est = KEstimator(window_size=100)
tci   = TCICalculator(f_survival=0.35)

f_total    = 0.72
complexity = 0.61

k      = k_est.update(f_total - 0.35, complexity)
result = tci.compute(f_total, k)

print(result)
# TCIResult(tci=0.74, grade='A', stage='Generativity', surplus=0.37)

What the Grades Mean

• Paper: