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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") |