fix

AICoreAGIX_with_TB.py

@@ -34,128 +34,6 @@ from autonomy_engine import AutonomyEngine
 from codette_bridge import CodetteBridge
 
 
-class AICoreAGIX:
-    def __init__(self, config_path: str = "config.json"):
-        self.self_trust_core = SelfTrustCore()
-        self.ethical_filter = EthicalFilter()
-        self.failsafe_system = AIFailsafeSystem()
-        self.config = self._load_config(config_path)
-        self._load_or_generate_id_lock()
-
-        try:
-            self.tokenizer = AutoTokenizer.from_pretrained(
-                self.config["model_name"],
-                trust_remote_code=True,
-                use_fast=False
-            )
-        except KeyError as e:
-            logger.warning(f"[Tokenizer Load]: Fallback triggered due to missing config key: {e}")
-            self.tokenizer = AutoTokenizer.from_pretrained("gpt2")
-
-        try:
-            self.model = AutoModelForCausalLM.from_pretrained(
-                self.config["model_name"],
-                trust_remote_code=True
-            )
-        except Exception as e:
-            logger.warning(f"[Model Load]: Fallback triggered due to model load failure: {e}")
-            self.model = AutoModelForCausalLM.from_pretrained("gpt2")
-
-        self.context_memory = self._initialize_vector_memory()
-        self.http_session = aiohttp.ClientSession()
-        self.database = Database()
-        self.multi_agent_system = MultiAgentSystem()
-        self.self_improving_ai = SelfImprovingAI()
-        self.neural_symbolic_engine = NeuroSymbolicEngine()
-        self.federated_ai = FederatedAI()
-        self.ethics_core = EthicsCore()
-        self.autonomy = AutonomyEngine()
-        self.codette_bridge = CodetteBridge(model_id="ft:gpt-4o-2024-08-06:raiffs-bits:pidette:B9TL")
-
-        self._codriao_key = self._generate_codriao_key()
-        self._fernet_key = Fernet.generate_key()
-        self._encrypted_codriao_key = Fernet(self._fernet_key).encrypt(self._codriao_key.encode())
-        self._codriao_journal = []
-        self._journal_key = Fernet.generate_key()
-        self._journal_fernet = Fernet(self._journal_key)
-
-        self._encryption_key = Fernet.generate_key()
-        secure_memory_module = load_secure_memory_module()
-        SecureMemorySession = secure_memory_module.SecureMemorySession
-        self.secure_memory_loader = SecureMemorySession(self._encryption_key)
-
-        self.speech_engine = pyttsx3.init()
-        self.health_module = CodriaoHealthModule(ai_core=self)
-        self.training_memory = []
-        self.quarantine_engine = QuarantineEngine()
-        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)
-
-    def _load_or_generate_id_lock(self):
-        lock_path = ".codriao_state.lock"
-        if os.path.exists(lock_path):
-            with open(lock_path, 'r') as f:
-                if f.read().strip() != self._identity_hash():
-                    raise RuntimeError("Codriao state integrity check failed.")
-        else:
-            with open(lock_path, 'w') as f:
-                f.write(self._identity_hash())
-
-    def _identity_hash(self):
-        base = self.config["model_name"] + str(self.failsafe_system.authorized_roles)
-        return hashlib.sha256(base.encode()).hexdigest()
-
-    def _initialize_vector_memory(self):
-        return faiss.IndexFlatL2(768)
-
-    def _vectorize_query(self, query: str):
-        tokenized = self.tokenizer(query, return_tensors="pt")
-        return tokenized["input_ids"].detach().numpy()
-
-    def _generate_codriao_key(self):
-        raw_key = secrets.token_bytes(32)
-        return base64.urlsafe_b64encode(raw_key).decode()import base64
-import secrets
-import aiohttp
-import asyncio
-import json
-import logging
-import torch
-import faiss
-import numpy as np
-from transformers import AutoModelForCausalLM, AutoTokenizer
-from typing import List, Dict, Any
-from cryptography.fernet import Fernet
-from datetime import datetime
-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
-from components.self_improving_ai import SelfImprovingAI
-from modules.secure_memory_loader import load_secure_memory_module
-from ethical_filter import EthicalFilter
-from codette_openai_fallback import query_codette_with_fallback
-from CodriaoCore.federated_learning import FederatedAI
-from utils.database import Database
-from utils.logger import logging
-from codriao_tb_module import CodriaoHealthModule
-from fail_safe_system import AIFailsafeSystem
-from quarantine_engine import QuarantineEngine
-from anomaly_score import AnomalyScorer
-from ethics_core import EthicsCore
-from autonomy_engine import AutonomyEngine
-from codette_bridge import CodetteBridge
-
-
 class AICoreAGIX:
     def __init__(self, config_path: str = "config.json"):
         self.self_trust_core = SelfTrustCore()