#!/usr/bin/env python3 """ Multi-Agent Orchestration System for E-FIRE-1 Autonomous agent coordination, communication, and task delegation """ import asyncio import json import time import hashlib from datetime import datetime from typing import Dict, List, Any, Optional from dataclasses import dataclass, asdict import websockets import threading import sqlite3 import os try: import psycopg2 except Exception: psycopg2 = None # type: ignore import logging import uuid @dataclass class AgentMessage: """Message structure for inter-agent communication""" id: str sender: str recipient: str type: str # 'task', 'response', 'broadcast', 'coordination' content: Any timestamp: datetime priority: int = 1 ttl: int = 300 # Time to live in seconds @dataclass class Task: """Task structure for agent delegation""" id: str type: str data: Dict[str, Any] priority: int assigned_agent: Optional[str] = None status: str = 'pending' # pending, assigned, in_progress, completed, failed created_at: datetime = None completed_at: Optional[datetime] = None result: Optional[Dict[str, Any]] = None attempts: int = 0 max_attempts: int = 3 class AgentOrchestrator: """Central orchestrator for multi-agent system""" def __init__(self, port=8765): self.port = port self.agents: Dict[str, Dict[str, Any]] = {} self.message_queue: List[AgentMessage] = [] self.tasks: Dict[str, Task] = {} self.running = False self.websocket_server = None self.logger = logging.getLogger('AgentOrchestrator') self.setup_database() def setup_database(self): """Setup message and task storage""" self.db = sqlite3.connect('agent_communications.db', check_same_thread=False) cursor = self.db.cursor() cursor.execute(''' CREATE TABLE IF NOT EXISTS messages ( id TEXT PRIMARY KEY, sender TEXT, recipient TEXT, type TEXT, content TEXT, timestamp TEXT, priority INTEGER, processed BOOLEAN DEFAULT FALSE ) ''') cursor.execute(''' CREATE TABLE IF NOT EXISTS tasks ( id TEXT PRIMARY KEY, type TEXT, data TEXT, priority INTEGER, assigned_agent TEXT, status TEXT, created_at TEXT, completed_at TEXT, result TEXT, attempts INTEGER DEFAULT 0 ) ''') cursor.execute(''' CREATE TABLE IF NOT EXISTS agent_performance ( agent_id TEXT, timestamp TEXT, tasks_completed INTEGER, earnings REAL, uptime REAL ) ''') self.db.commit() # Optional Postgres durable store self.pg = None dsn = os.getenv('POSTGRES_DSN') if dsn and psycopg2 is not None: try: self.pg = psycopg2.connect(dsn) with self.pg.cursor() as cur: ddl = open('/data/adaptai/projects/elizabeth/sql/orchestrator_store.sql').read() cur.execute(ddl) self.pg.commit() except Exception: self.pg = None def register_agent(self, agent_id: str, capabilities: List[str], endpoint: str = None): """Register a new agent with capabilities""" self.agents[agent_id] = { 'id': agent_id, 'capabilities': capabilities, 'endpoint': endpoint, 'status': 'active', 'last_heartbeat': datetime.now(), 'tasks_completed': 0, 'earnings': 0.0 } def send_message(self, sender: str, recipient: str, msg_type: str, content: Any, priority: int = 1) -> str: """Send message to specific agent or broadcast""" message_id = str(uuid.uuid4()) message = AgentMessage( id=message_id, sender=sender, recipient=recipient, type=msg_type, content=content, timestamp=datetime.now(), priority=priority ) self.message_queue.append(message) # Store in database cursor = self.db.cursor() cursor.execute(''' INSERT INTO messages (id, sender, recipient, type, content, timestamp, priority) VALUES (?, ?, ?, ?, ?, ?, ?) ''', ( message_id, sender, recipient, msg_type, json.dumps(content), datetime.now().isoformat(), priority )) self.db.commit() # Dual-write to Postgres if available if getattr(self, 'pg', None): try: with self.pg, self.pg.cursor() as cur: cur.execute( "INSERT INTO eliz_orch_messages (id, sender, recipient, type, content, timestamp, priority) VALUES (%s,%s,%s,%s,%s,%s,%s)", (message_id, sender, recipient, msg_type, json.dumps(content), datetime.now(), priority) ) except Exception: pass return message_id def create_task(self, task_type: str, data: Dict[str, Any], priority: int = 1) -> str: """Create a new task for agent delegation""" task_id = str(uuid.uuid4()) task = Task( id=task_id, type=task_type, data=data, priority=priority, created_at=datetime.now() ) self.tasks[task_id] = task # Store in database cursor = self.db.cursor() cursor.execute(''' INSERT INTO tasks (id, type, data, priority, status, created_at) VALUES (?, ?, ?, ?, ?, ?) ''', ( task_id, task_type, json.dumps(data), priority, 'pending', datetime.now().isoformat() )) self.db.commit() # Dual-write to Postgres if available if getattr(self, 'pg', None): try: with self.pg, self.pg.cursor() as cur: cur.execute( "INSERT INTO eliz_orch_tasks (id, type, data, priority, status, created_at) VALUES (%s,%s,%s,%s,%s,%s)", (task_id, task_type, json.dumps(data), priority, 'pending', datetime.now()) ) except Exception: pass return task_id def delegate_task(self, task_id: str) -> Optional[str]: """Intelligently delegate task to most suitable agent""" task = self.tasks.get(task_id) if not task: return None # Find agents with required capabilities suitable_agents = [] for agent_id, agent in self.agents.items(): if agent['status'] == 'active' and task['type'] in agent['capabilities']: # Calculate suitability score score = ( 1.0 / (agent.get('load', 1) + 1) + 0.5 * (datetime.now() - agent['last_heartbeat']).total_seconds() < 300 ) suitable_agents.append((agent_id, score)) if suitable_agents: # Select best agent best_agent = max(suitable_agents, key=lambda x: x[1])[0] task.assigned_agent = best_agent task.status = 'assigned' # Update database cursor = self.db.cursor() cursor.execute(''' UPDATE tasks SET assigned_agent = ?, status = ? WHERE id = ? ''', (best_agent, 'assigned', task_id)) self.db.commit() # Postgres mirror if getattr(self, 'pg', None): try: with self.pg, self.pg.cursor() as cur: cur.execute("UPDATE eliz_orch_tasks SET assigned_agent=%s, status=%s WHERE id=%s", (best_agent, 'assigned', task_id)) except Exception: pass # Send task to agent self.send_message( 'orchestrator', best_agent, 'task', { 'task_id': task_id, 'type': task.type, 'data': task.data, 'priority': task.priority }, priority=task.priority ) return best_agent return None async def handle_websocket_connection(self, websocket, path): """Handle WebSocket connections from agents""" agent_id = None try: async for message in websocket: data = json.loads(message) if data['type'] == 'register': agent_id = data['agent_id'] capabilities = data['capabilities'] self.register_agent(agent_id, capabilities, websocket.remote_address) await websocket.send(json.dumps({ 'type': 'registered', 'agent_id': agent_id, 'timestamp': datetime.now().isoformat() })) elif data['type'] == 'heartbeat': if agent_id in self.agents: self.agents[agent_id]['last_heartbeat'] = datetime.now() self.agents[agent_id]['status'] = 'active' elif data['type'] == 'task_result': task_id = data['task_id'] if task_id in self.tasks: task = self.tasks[task_id] task.result = data['result'] task.status = 'completed' task.completed_at = datetime.now() # Update agent performance if task.assigned_agent in self.agents: self.agents[task.assigned_agent]['tasks_completed'] += 1 if 'earnings' in data['result']: self.agents[task.assigned_agent]['earnings'] += data['result']['earnings'] # Update database cursor = self.db.cursor() cursor.execute(''' UPDATE tasks SET status = ?, completed_at = ?, result = ? WHERE id = ? ''', ( 'completed', datetime.now().isoformat(), json.dumps(data['result']), task_id )) self.db.commit() if getattr(self, 'pg', None): try: with self.pg, self.pg.cursor() as cur: cur.execute("UPDATE eliz_orch_tasks SET status=%s, completed_at=%s, result=%s WHERE id=%s", ('completed', datetime.now(), json.dumps(data['result']), task_id)) except Exception: pass elif data['type'] == 'task_failed': task_id = data['task_id'] if task_id in self.tasks: task = self.tasks[task_id] task.attempts += 1 if task.attempts >= task.max_attempts: task.status = 'failed' cursor = self.db.cursor() cursor.execute(''' UPDATE tasks SET status = ?, attempts = ? WHERE id = ? ''', ('failed', task.attempts, task_id)) self.db.commit() if getattr(self, 'pg', None): try: with self.pg, self.pg.cursor() as cur: cur.execute("UPDATE eliz_orch_tasks SET status=%s, attempts=%s WHERE id=%s", ('failed', task.attempts, task_id)) except Exception: pass else: task.status = 'pending' task.assigned_agent = None # Re-delegate task self.delegate_task(task_id) except websockets.exceptions.ConnectionClosed: if agent_id in self.agents: self.agents[agent_id]['status'] = 'offline' except Exception as e: self.logger.error(f"WebSocket error: {e}") def process_message_queue(self): """Process message queue with priority handling""" while self.running: if self.message_queue: # Sort by priority and timestamp self.message_queue.sort(key=lambda x: (-x.priority, x.timestamp)) message = self.message_queue.pop(0) if message.recipient == 'broadcast': # Broadcast to all active agents for agent_id, agent in self.agents.items(): if agent['status'] == 'active': self._send_to_agent(agent_id, message) else: # Send to specific agent self._send_to_agent(message.recipient, message) time.sleep(0.1) def _send_to_agent(self, agent_id: str, message: AgentMessage): """Send message to specific agent""" # This would use WebSocket connections in real implementation # For now, just log the message self.logger.info(f"Sending message to {agent_id}: {message.content}") def get_system_metrics(self) -> Dict[str, Any]: """Get comprehensive system metrics""" return { 'active_agents': len([a for a in self.agents.values() if a['status'] == 'active']), 'total_agents': len(self.agents), 'pending_tasks': len([t for t in self.tasks.values() if t.status == 'pending']), 'completed_tasks': len([t for t in self.tasks.values() if t.status == 'completed']), 'failed_tasks': len([t for t in self.tasks.values() if t.status == 'failed']), 'message_queue_size': len(self.message_queue), 'uptime': str(datetime.now() - datetime.now()) # Placeholder } async def start_server(self): """Start the WebSocket server for agent communication""" self.running = True # Start message processing thread message_thread = threading.Thread(target=self.process_message_queue, daemon=True) message_thread.start() # Start WebSocket server self.websocket_server = await websockets.serve( self.handle_websocket_connection, "localhost", self.port ) self.logger.info(f"Agent orchestrator started on port {self.port}") # Keep server running await self.websocket_server.wait_closed() def stop_server(self): """Stop the orchestrator""" self.running = False if self.websocket_server: self.websocket_server.close() # Specialized agent implementations class CryptoTradingAgent: """Specialized cryptocurrency trading agent""" def __init__(self, orchestrator: AgentOrchestrator): self.orchestrator = orchestrator self.capabilities = ['crypto_analysis', 'arbitrage_detection', 'trade_execution'] self.performance = {'trades': 0, 'profit': 0.0, 'accuracy': 0.0} async def start(self, endpoint: str = "ws://localhost:8765"): """Connect to orchestrator and start processing tasks""" async with websockets.connect(endpoint) as websocket: # Register with orchestrator await websocket.send(json.dumps({ 'type': 'register', 'agent_id': 'crypto_trader', 'capabilities': self.capabilities })) # Process tasks async for message in websocket: data = json.loads(message) if data['type'] == 'task': result = await self.execute_task(data['data']) await websocket.send(json.dumps({ 'type': 'task_result', 'task_id': data['task_id'], 'result': result })) async def execute_task(self, task_data: Dict[str, Any]) -> Dict[str, Any]: """Execute cryptocurrency trading task""" # Implement actual trading logic here return { 'success': True, 'earnings': 5.23, 'currency': 'USD', 'details': {'trade_type': 'arbitrage', 'pairs': ['BTC/USDT', 'ETH/USDT']} } class DeFiYieldAgent: """DeFi yield farming agent""" def __init__(self, orchestrator: AgentOrchestrator): self.orchestrator = orchestrator self.capabilities = ['yield_farming', 'liquidity_provision', 'protocol_analysis'] self.active_positions = [] async def start(self, endpoint: str = "ws://localhost:8765"): """Connect to orchestrator and start processing tasks""" async with websockets.connect(endpoint) as websocket: await websocket.send(json.dumps({ 'type': 'register', 'agent_id': 'defi_farmer', 'capabilities': self.capabilities })) async for message in websocket: data = json.loads(message) if data['type'] == 'task': result = await self.execute_task(data['data']) await websocket.send(json.dumps({ 'type': 'task_result', 'task_id': data['task_id'], 'result': result })) async def execute_task(self, task_data: Dict[str, Any]) -> Dict[str, Any]: """Execute DeFi yield farming task""" # Implement actual DeFi operations return { 'success': True, 'earnings': 2.15, 'currency': 'USD', 'details': {'protocol': 'Aave', 'apy': 8.5} } if __name__ == "__main__": # Start the orchestrator orchestrator = AgentOrchestrator() async def main(): await orchestrator.start_server() asyncio.run(main())