adaptai / platform /aiml /mlops /agent_orchestrator.py
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#!/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())