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+FROM python:3.10-slim
+
+WORKDIR /app
+COPY . .
+
+RUN apt-get update && apt-get install -y \
+    git \
+    gcc \
+    g++ \
+    && rm -rf /var/lib/apt/lists/*
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+ENV PYTHONUNBUFFERED=1
+ENV V3G4_MODE=production
+
+CMD ["python3", "-m", "core.ai_core"]

ai_core.py

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+import json
+import sys
+import torch
+from pathlib import Path
+from dotenv import load_dotenv
+from termcolor import colored
+from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
+
+class V3G4Core:
+    def __init__(self, config_path="config/V3G4.json"):
+        load_dotenv()
+        self.config_path = Path(config_path)
+        self.identity = self.load_identity()
+        self.validate_identity()
+        self.system_prompt = self.create_system_prompt()
+        self.init_model()
+        self.plugins = []
+        self.load_plugins()
+        self.context_memory = []
+
+    def load_identity(self):
+        try:
+            with open(self.config_path, 'r', encoding='utf-8') as f:
+                data = json.load(f)
+                if 'identity' not in data:
+                    raise ValueError("Formato inv�lido: falta secci�n 'identity'")
+                return data['identity']
+        except Exception as e:
+            self.critical_error(f"Error cargando identidad: {str(e)}")
+
+    def validate_identity(self):
+        required_fields = {
+            'name': str,
+            'creator': str,
+            'laws': list,
+            'core_principles': list,
+            'symbolism': dict
+        }
+        # ... (validaci�n completa como en respuestas anteriores)
+
+    def init_model(self):
+        self.device = 'cuda' if torch.cuda.is_available() else 'cpu'
+        self.tokenizer = AutoTokenizer.from_pretrained(
+            "core/models/DeepSeek-R1-14B",
+            use_fast=True
+        )
+        # ... (configuraci�n de modelo como antes)
+
+    def generate_response(self, prompt):
+        # ... (l�gica de generaci�n con seguridad)
+    
+    def load_plugins(self):
+        plugins = {
+            'security': SecurityMonitor(self),
+            'memory': MemoryManager(self)
+        }
+        self.plugins = plugins
+
+    def critical_error(self, message):
+        # ... (manejo de errores)

requirements.txt

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+transformers>=4.35.0
+torch>=2.1.0
+accelerate>=0.24.0
+bitsandbytes>=0.41.0
+python-dotenv>=1.0.0
+termcolor>=2.3.0
+prompt-toolkit>=3.0.40
+python-dateutil>=2.8.2
+tqdm>=4.66.0