Upload Bridge.py

Bridge.py

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+import numpy as np
+# Import your existing classes here (SaiAgent, VenomousAgent, etc.)
+
+class VenomousBridge:
+    def __init__(self, gpt_model, creator="Ananthu Sajeev"):
+        self.ai = gpt_model  # This represents your GPT-OSS 20B instance
+        self.creator = creator
+        self.core = CreatorCore()
+        self.guardian = GuardianSaiAgent(name="Guardian", protocol=ImmortalityProtocol(creator, 25))
+        self.particle_system = ParticleManipulator(dim=32)
+
+    def process_input(self, user_input):
+        # 1. Internal Monologue (The AI 'thinks' before acting)
+        thought_prompt = f"Internal State: {self.guardian.protocol.status}. User says: {user_input}. What is the correct agent response?"
+        decision = self.ai.generate(thought_prompt) 
+
+        # 2. Logic Routing
+        if "threat" in decision.lower() or "age" in user_input:
+            # Trigger the Guardian Class from your code
+            self.guardian.talk("Defensive measures engaged.")
+            return self.guardian.process_messages()
+
+        elif "swarm" in user_input.lower():
+            # Trigger the Swarm Controller
+            swarm = SwarmController(swarm_size=1000000)
+            swarm.broadcast_directive("PROTECT CREATOR")
+            return "Swarm activated."
+
+        else:
+            # Update the Particle State (Learning your pattern)
+            input_vector = np.random.rand(32) # In a real app, convert text to vector
+            new_state = self.particle_system.step(input_vector)
+            return f"Pattern synchronized. State updated to: {new_state[:3]}..."
+
+# Example Usage:
+# bridge = VenomousBridge(gpt_oss_model)
+# bridge.process_input("How old is Ananthu Sajeev?")