import os import json import random class VenomousOrchestrator: def __init__(self, creator="Ananthu Sajeev"): self.creator = creator self.agent_dir = "sai_agents" self.total_agents = 1000 # Create the directory for agent storage if not os.path.exists(self.agent_dir): os.makedirs(self.agent_dir) def create_agents(self): """Generates 1000 unique agent personality files.""" specialties = ["Logic", "Memory", "Vision", "Survival", "Analysis", "Data Retrieval", "Ethics", "Creativity"] print(f"--- Initiating Agent Creation for {self.creator} ---") for i in range(1, self.total_agents + 1): agent_id = f"SAI_{i:03d}" agent_data = { "agent_id": agent_id, "creator": self.creator, "status": "Active", "specialty": random.choice(specialties), "tasks_completed": 0, "current_monologue": "" } # Save as a JSON file (The Agent's "Brain File") file_path = os.path.join(self.agent_dir, f"{agent_id}.json") with open(file_path, "w") as f: json.dump(agent_data, f, indent=4) if i % 100 == 0: print(f"[SYSTEM]: {i} agents deployed...") def assign_task(self, task_name): """The Main AI selects an agent and assigns a task.""" # Main AI logic: Pick a random agent to handle the task agent_choice = f"SAI_{random.randint(1, 1000):03d}.json" path = os.path.join(self.agent_dir, agent_choice) with open(path, "r") as f: agent = json.load(f) print(f"\n[MAIN AI]: Assigning '{task_name}' to {agent['agent_id']} ({agent['specialty']})") # Update agent file with the new task agent["tasks_completed"] += 1 agent["current_monologue"] = f"I am executing task: {task_name}. My creator {self.creator} is watching." with open(path, "w") as f: json.dump(agent, f, indent=4) return agent['agent_id'] # Execute the System v_orchestrator = VenomousOrchestrator() v_orchestrator.create_agents() # This creates 1,000 .json files # Assign some sample tasks v_orchestrator.assign_task("Analyze internal monologue feedback") v_orchestrator.assign_task("Sync neural layers with body module")