Vitalis_Devcore / src /brain /truth_manager.py
FerrellSyntheticIntelligence
Initial clean commit: Source code only
29cdc9d
#!/usr/bin/env python3
import random
from src.energy.water_precision import get_precision
FREE_ENERGY_MAX = 2.5
PRECISION_MIN = 0.35
_UNKNOWN_RESPONSES = [
"I don’t know the answer to that yet.",
"I’m still learning about this topic.",
"Sorry, I haven’t seen that before.",
"That’s outside my current knowledge – I’ll keep learning."
]
def should_answer(free_energy: float) -> bool:
return (free_energy < FREE_ENERGY_MAX) and (get_precision() > PRECISION_MIN)
def safe_response(free_energy: float, raw_output: str) -> str:
if should_answer(free_energy):
return raw_output.strip()
return random.choice(_UNKNOWN_RESPONSES)