Anti-Infinite-Loop Guard

Detects and prevents repetitive execution cycles that waste resources without progress.

Problem: Infinite Loop

SYMPTOMS:
├── Agent repeats the same actions indefinitely
├── Resource waste (CPU, RAM, GPU)
├── No progress toward goal
└── STC spikes (emotional tension)

Solutions Implemented

1. Termination Conditions

class AntiInfiniteLoop:
    max_retries = 3              # Max retry attempts
    max_steps = 10               # Max steps per task
    max_time_seconds = 300        # Time limit (5 min)
    progress_threshold = 0.1      # Min improvement to continue

2. Action Tracking

action_history = []  # Previous actions

def track_action(action):
    if action in action_history[-5:]:  # Repetition detected
        log_warning("ACTION REPEATED - STOPPING")
        return False  # Stop
    action_history.append(action)
    return True

3. Progress Tracking

def check_progress(before, after):
    improvement = calculate_improvement(before, after)
    if improvement < progress_threshold:
        return False  # No progress → STOP
    return True

4. Time Enforcement

def time_exceeded():
    elapsed = time.time() - start_time
    if elapsed > max_time_seconds:
        return True
    return False

Watchdogs

Usage

from anti_infinite_loop import AntiInfiniteLoop

loop_guard = AntiInfiniteLoop()

for step in range(loop_guard.max_steps):
    action = decide_next_action()
    
    if not loop_guard.track_action(action):
        break  # Repeated action → STOP
    
    result = execute(action)
    
    if not loop_guard.check_progress(before, result):
        break  # No progress → STOP
    
    if loop_guard.time_exceeded():
        break  # Time exceeded → STOP

Metrics

Files

anti-infinite-loop/
├── SKILL.md
├── scripts/
│   ├── anti_infinite_loop.py
│   ├── main.py
│   └── utils.py
├── data/
├── models/
└── tests/