Update AICoreAGIX_with_TB.py

AICoreAGIX_with_TB.py

@@ -1,7 +1,7 @@
-
 import base64
 import secrets
 import aiohttp
+import asyncio
 import json
 import logging
 import torch
@@ -15,7 +15,6 @@ import pyttsx3
 import os
 import hashlib
 
-
 from self_trust_core import SelfTrustCore
 from components.multi_model_analyzer import MultiAgentSystem
 from components.neuro_symbolic_engine import NeuroSymbolicEngine
@@ -71,6 +70,8 @@ class AICoreAGIX:
         self.anomaly_scorer = AnomalyScorer()
         self.lockdown_engaged = False
 
+        logger.info("[Codriao]: SelfTrustCore initialized. Fear is now filtered by self-consent.")
+
     def _load_config(self, config_path: str) -> dict:
         with open(config_path, 'r') as file:
             return json.load(file)
@@ -175,6 +176,7 @@ class AICoreAGIX:
                 break
             except Exception as e:
                 logger.warning(f"Blockchain logging failed: {e}")
+
     def _speak_response(self, response: str):
         if not self.autonomy.decide("can_speak"):
             return
@@ -224,25 +226,21 @@ class AICoreAGIX:
 
             final_response = "\n\n".join(responses)
 
+            # Fear check before affirming or logging
+            fear_check = self.self_trust_core.intercept_fear(
+                source="NeuroSymbolicEngine",
+                message=final_response,
+                ethics_pass=self.ethics_core.evaluate_action(final_response),
+                autonomy_pass=self.autonomy.decide("can_process_fear")
+            )
+
+            if fear_check["action"] == "BLOCKED":
+                return {"error": "Fear-based self-modification blocked by core trust logic"}
+
             if not self.ethics_core.evaluate_action(final_response):
                 return {"error": "Response rejected by ethical framework"}
             if not self.failsafe_system.verify_response_safety(final_response):
                 return {"error": "Failsafe triggered due to unsafe response content."}
-            fear_check = self.self_trust_core.intercept_fear(
-    source="NeuroSymbolicEngine",
-    message=final_response,
-    ethics_pass=self.ethics_core.evaluate_action(final_response),
-    autonomy_pass=self.autonomy.decide("can_process_fear")
-    fear_check = self.self_trust_core.intercept_fear(
-    source="NeuroSymbolicEngine",
-    message=final_response,
-    ethics_pass=self.ethics_core.evaluate_action(final_response),
-    autonomy_pass=self.autonomy.decide("can_process_fear")
-)
-
-if fear_check["action"] == "BLOCKED":
-    return {"error": "Fear-based self-modification blocked by core trust logic"}
-            )
 
             self.learn_from_interaction(query, final_response, user_feedback="auto-pass")
             self.database.log_interaction(user_id, query, final_response)