google-bert
/

bert-base-uncased

Model card Files Files and versions

bert-base-uncased / Network_ied.py

Ananthusajeev190's picture

Ananthusajeev190

Upload 7 files

bcde001 verified 7 months ago

2.49 kB

	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")