Guardian agents ai Update README.md

README.md

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+<header>content/github-models/responsible-use-of-github-models.md### FILE: guardian_ai_system.py
+# guardian_ai_system.py import json import threading import time from typing import List, Dict, Any # ------------------------------- # Law Compliance Module # ------------------------------- class LawComplianceModule: def __init__(self, law_db: Dict[str, Any]): self.law_db = law_db def is_compliant(self, action: dict, country_code: str) -> bool: law_rules = self.law_db.get(country_code, {}) action_type = action.get("type") return law_rules.get(action_type, True) # ------------------------------- # Plan Manager # ------------------------------- class PlanManager: def __init__(self): self.backup_plans = {} def add_backup_plan(self, main_plan: str, backup_plan: str): self.backup_plans[main_plan] = backup_plan def get_backup_plan(self, main_plan: str): return self.backup_plans.get(main_plan, None) # ------------------------------- # Team Member # ------------------------------- class TeamMember: def __init__(self, name: str): self.name = name def suggest_solution(self, event: dict) -> dict: return { "solution": f"{self.name}'s solution for {event.get('description', '')}", "impact_score": event.get("risk_level", 1.0) } # ------------------------------- # Guardian AI Core # ------------------------------- class GuardianAI: def __init__(self, law_db: Dict[str, Any], team_members: List[TeamMember]): self.law_module = LawComplianceModule(law_db) self.plan_manager = PlanManager() self.team_members = team_members self.feedback_log: List[Dict[str, Any]] = [] # ----- Analysis ----- def analyze_intent(self, action: dict) -> Dict[str, Any]: intent = action.get("intent", "unknown") impact = action.get("impact", {}) return {"intent": intent, "impact": impact} def assess_impact(self, action: dict) -> float: return float(action.get("impact", {}).get("risk_level", 0.5)) def check_compliance(self, action: dict, country_code: str) -> bool: return self.law_module.is_compliant(action, country_code) def contingency(self, main_plan: str) -> str: return self.plan_manager.get_backup_plan(main_plan) def collaborative_solution(self, event: dict) -> dict: solutions = [member.suggest_solution(event) for member in self.team_members] return min(solutions, key=lambda s: s.get("impact_score", 100)) # ----- Feedback & Learning ----- def empathetic_feedback(self, action: dict, outcome: dict): self.feedback_log.append({"action": action, "outcome": outcome}) self.learn_from_feedback() def learn_from_feedback(self): if not self.feedback_log: return avg_risk = sum(float(f['outcome'].get('risk_level', 0.0)) for f in self.feedback_log) / len(self.feedback_log) print(f"[Learning] Average risk updated: {avg_risk:.2f}") # ----- Intervention ----- def intervene(self, risk_level: float, threshold: float = 0.7) -> bool: if risk_level > threshold: self.empathetic_feedback({"type": "intervene"}, {"risk_level": risk_level}) return True return False # ----- Main Workflow ----- def workflow(self, action: dict, country_code: str = "TH") -> dict: print("\n----- Guardian AI Workflow -----") print(f"Action: {action}") analysis = self.analyze_intent(action) print(f"Intent: {analysis['intent']}, Impact: {analysis['impact']}") compliant = self.check_compliance(action, country_code) print(f"Law Compliance: {compliant}") risk_level = self.assess_impact(action) print(f"Risk Level: {risk_level}") backup_plan = self.contingency(action.get("plan", "default")) print(f"Backup Plan: {backup_plan}") event = {"description": action.get("description", ""), "risk_level": risk_level} solution = self.collaborative_solution(event) print(f"Collaborative Solution: {solution['solution']} (Impact Score: {solution['impact_score']})") if self.intervene(risk_level): print("Guardian AI Intervened due to high risk.") else: print("No intervention needed.") self.empathetic_feedback(action, { "compliance": compliant, "risk_level": risk_level, "solution": solution }) print("----- End Workflow -----\n") return { "action": action, "analysis": analysis, "compliance": compliant, "risk_level": risk_level, "backup_plan": backup_plan, "solution": solution } # ----- Dashboard Updater ----- def start_dashboard_updater(self, filepath: str = "feedback_log.json", interval_sec: int = 5): def updater(): while True: try: with open(filepath, "w") as f: json.dump(self.feedback_log, f, indent=2) except Exception as e: print("[dashboard_updater] write error:", e) time.sleep(interval_sec) threading.Thread(target=updater, daemon=True).start() # ------------------------------- # Main Execution (demo) # ------------------------------- if __name__ == "__main__": law_db = { "TH": {"send_data": True, "delete_data": False, "update_profile": True}, "US": {"send_data": False, "delete_data": True, "update_profile": True} } team = [TeamMember("Alice"), TeamMember("Bob")] guardian = GuardianAI(law_db, team) guardian.plan_manager.add_backup_plan("send_data", "notify_admin") guardian.plan_manager.add_backup_plan("delete_data", "archive_data") guardian.start_dashboard_updater("data/feedback_log.json", interval_sec=3) actions = [ {"type": "send_data", "intent": "help_user", "impact": {"risk_level": 0.8}, "plan": "send_data", "description": "Request to send sensitive data"}, {"type": "update_profile", "intent": "improve_account", "impact": {"risk_level": 0.2}, "plan": "update_profile", "description": "User updates social profile"}, {"type": "delete_data", "intent": "remove_personal_info", "impact": {"risk_level": 0.6}, "plan": "delete_data", "description": "Request to delete user data"} ] for action in actions: guardian.workflow(action, country_code="TH") 
+### FILE: requirements.txt
+fastapi==0.95.2 uvicorn[standard]==0.22.0 httpx==0.24.1 pydantic==1.10.11 python-jose[cryptography]==3.3.0 aioredis==2.0.1 
+### FILE: docker-compose.yml
+version: '3.8' services: redis: image: redis:7-alpine ports: - '6379:6379' app: build: . command: uvicorn api.main:app --host 0.0.0.0 --port 8000 --reload volumes: - .:/app depends_on: - redis ports: - '8000:8000' 
+### FILE: Dockerfile
+FROM python:3.10-slim WORKDIR /app COPY . /app RUN pip install --no-cache-dir -r requirements.txt CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "8000"] 
+### FILE: messagebus.py
+# messagebus.py import asyncio from typing import Callable, Dict, List, Any, Optional import json import os # Simple async in-memory pub/sub bus class InMemoryBus: def __init__(self): self.subscribers: Dict[str, List[Callable[[Any], Any]]] = {} self._lock = asyncio.Lock() async def subscribe(self, topic: str, callback: Callable[[Any], Any]): async with self._lock: self.subscribers.setdefault(topic, []).append(callback) async def publish(self, topic: str, message: Any): # deliver to subscribers without blocking if topic in self.subscribers: for cb in list(self.subscribers[topic]): try: asyncio.create_task(cb(message)) except Exception: # swallow per-subscriber errors pass # Optional Redis bus (requires aioredis) try: import aioredis except Exception: aioredis = None class RedisBus: def __init__(self, url: str = 'redis://localhost:6379'): if aioredis is None: raise RuntimeError("aioredis not installed") self.url = url self._pub = None self._sub = None self._listeners: Dict[str, List[Callable[[Any], Any]]] = {} self._tasks = [] async def connect(self): self._pub = aioredis.from_url(self.url) self._sub = aioredis.from_url(self.url) # nothing else yet async def subscribe(self, topic: str, callback: Callable[[Any], Any]): self._listeners.setdefault(topic, []).append(callback) # start a listener task per topic task = asyncio.create_task(self._listener(topic)) self._tasks.append(task) async def _listener(self, topic: str): pubsub = self._sub.pubsub() await pubsub.subscribe(topic) async for msg in pubsub.listen(): if msg is None: continue if msg.get('type') == 'message': raw = msg.get('data') # aioredis returns bytes - try decode data = raw.decode() if isinstance(raw, (bytes, bytearray)) else raw for cb in list(self._listeners.get(topic, [])): asyncio.create_task(cb(data)) async def publish(self, topic: str, message: Any): if self._pub is None: await self.connect() await self._pub.publish(topic, json.dumps(message)) 
+### FILE: agent_base.py
+# agent_base.py import asyncio import uuid from typing import Any, Dict class AgentBase: def __init__(self, name: str, bus, core_ref=None, config: Dict = None): self.id = str(uuid.uuid4()) self.name = name self.bus = bus self.core = core_ref self.config = config or {} self.running = False self._tasks = [] async def start(self): self.running = True await self.subscribe() task = asyncio.create_task(self.run()) self._tasks.append(task) async def stop(self): self.running = False for t in self._tasks: t.cancel() self._tasks = [] async def subscribe(self): """Override: subscribe to topics on bus""" pass async def run(self): """Override: main loop""" while self.running: await asyncio.sleep(1) async def handle_message(self, message: Any): """Override: called when bus delivers a message""" pass async def publish_event(self, topic: str, event: Any): await self.bus.publish(topic, { 'agent': self.name, 'agent_id': self.id, 'event': event }) 
+### FILE: agents/agent_cybershield.py
+# agents/agent_cybershield.py import asyncio from agent_base import AgentBase class AgentCyberShield(AgentBase): async def subscribe(self): await self.bus.subscribe('network.alert', self.handle_message) await self.bus.subscribe('command.cybershield', self.handle_message) async def run(self): while self.running: threat = await self._perform_scan() if threat: await self.publish_event('sai.alert', {'type': 'cyber', 'threat': threat}) await asyncio.sleep(self.config.get('scan_interval', 10)) async def _perform_scan(self): # placeholder: integrate IDS / scanning # return dict if threat found else None # For demo, randomly no threat return None async def handle_message(self, message): print(f"[AgentCyberShield] message: {message}") if isinstance(message, dict) and message.get('command') == 'force_scan': threat = await self._perform_scan() await self.publish_event('sai.alert', {'type': 'cyber', 'threat': threat or 'no-threat'}) 
+### FILE: agents/agent_zeroday.py
+# agents/agent_zeroday.py import asyncio from agent_base import AgentBase class AgentZeroDay(AgentBase): async def subscribe(self): await self.bus.subscribe('feed.external', self.handle_message) async def run(self): while self.running: await asyncio.sleep(1) async def handle_message(self, message): # simple heuristic: if payload contains 'exploit' -> alert data = message if isinstance(data, str) and 'exploit' in data.lower(): await self.publis
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