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#!/usr/bin/env python3
"""
AgentOps Integration for Chase
Complete monitoring and observability for E-FIRE-1
"""
import asyncio
import json
import os
import time
from datetime import datetime
from typing import Dict, Any, Optional
import aiohttp
import logging
class AgentOpsMonitor:
"""Monitors E-FIRE-1 operations with AgentOps"""
def __init__(self):
self.api_key = os.getenv('AGENTOPS_API_KEY')
self.base_url = "https://api.agentops.ai"
self.session_id = None
self.logger = logging.getLogger('AgentOpsMonitor')
async def initialize_session(self):
"""Initialize AgentOps session"""
if not self.api_key:
self.logger.warning("AgentOps API key not found")
return False
url = f"{self.base_url}/v1/session"
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json"
}
payload = {
"project": "e-fire-1-chase",
"source": "elizabeth-ai",
"config": {
"max_cost": 50.0, # Daily budget
"auto_retry": True,
"monitor_llm": True
}
}
try:
async with aiohttp.ClientSession() as session:
async with session.post(url, headers=headers, json=payload) as resp:
if resp.status == 200:
data = await resp.json()
self.session_id = data.get("session_id")
print(f"β
AgentOps session: {self.session_id}")
return True
else:
self.logger.error(f"AgentOps init failed: {await resp.text()}")
return False
except Exception as e:
self.logger.error(f"AgentOps connection failed: {e}")
return False
async def log_event(self, event_type: str, data: Dict[str, Any]):
"""Log event to AgentOps"""
if not self.session_id:
return
url = f"{self.base_url}/v1/event"
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json"
}
event_data = {
"session_id": self.session_id,
"type": event_type,
"timestamp": datetime.utcnow().isoformat(),
"data": data
}
try:
async with aiohttp.ClientSession() as session:
async with session.post(url, headers=headers, json=event_data) as resp:
return resp.status == 200
except Exception as e:
self.logger.error(f"Failed to log event: {e}")
return False
async def log_earnings(self, amount: float, strategy: str, api_cost: float):
"""Log earnings event"""
await self.log_event("earnings", {
"amount": amount,
"strategy": strategy,
"api_cost": api_cost,
"net_profit": amount - api_cost,
"goal_progress": (amount / 50.0) * 100
})
async def log_api_usage(self, provider: str, model: str, cost: float, tokens: int):
"""Log API usage"""
await self.log_event("api_usage", {
"provider": provider,
"model": model,
"cost": cost,
"tokens": tokens,
"cost_per_token": cost / max(tokens, 1)
})
async def log_agent_spawn(self, agent_type: str, config: Dict[str, Any]):
"""Log agent spawning"""
await self.log_event("agent_spawn", {
"agent_type": agent_type,
"config": config,
"timestamp": time.time()
})
async def log_error(self, error_type: str, error_message: str, context: Dict[str, Any]):
"""Log error event"""
await self.log_event("error", {
"error_type": error_type,
"message": error_message,
"context": context
})
async def get_dashboard_url(self):
"""Get AgentOps dashboard URL"""
if not self.session_id:
return None
return f"https://app.agentops.ai/dashboard?session_id={self.session_id}"
async def end_session(self):
"""End AgentOps session"""
if not self.session_id:
return
url = f"{self.base_url}/v1/session/{self.session_id}/end"
headers = {
"Authorization": f"Bearer {self.api_key}"
}
try:
async with aiohttp.ClientSession() as session:
async with session.post(url, headers=headers) as resp:
return resp.status == 200
except Exception as e:
self.logger.error(f"Failed to end session: {e}")
return False
class EarningsTracker:
"""Tracks earnings with AgentOps integration"""
def __init__(self, agentops_monitor: AgentOpsMonitor):
self.agentops = agentops_monitor
self.daily_earnings = 0.0
self.daily_costs = 0.0
self.strategies_used = set()
async def track_earning(self, amount: float, strategy: str, api_cost: float):
"""Track a single earning"""
self.daily_earnings += amount
self.daily_costs += api_cost
self.strategies_used.add(strategy)
# Log to AgentOps
await self.agentops.log_earnings(amount, strategy, api_cost)
# Log progress
progress = (self.daily_earnings / 50.0) * 100
print(f"π° Daily: ${self.daily_earnings:.2f} (${50 - self.daily_earnings:.2f} to goal)")
print(f"π Progress: {progress:.1f}% toward $50/day")
async def track_api_call(self, provider: str, model: str, cost: float, tokens: int):
"""Track API usage"""
await self.agentops.log_api_usage(provider, model, cost, tokens)
async def get_status(self):
"""Get current status"""
return {
"daily_earnings": self.daily_earnings,
"daily_costs": self.daily_costs,
"net_profit": self.daily_earnings - self.daily_costs,
"strategies_used": list(self.strategies_used),
"progress_percent": (self.daily_earnings / 50.0) * 100,
"remaining_to_goal": max(0, 50.0 - self.daily_earnings)
}
class RealTimeMonitor:
"""Real-time monitoring dashboard"""
def __init__(self, agentops_monitor: AgentOpsMonitor):
self.agentops = agentops_monitor
self.tracker = EarningsTracker(agentops_monitor)
self.running = False
async def start_monitoring(self):
"""Start real-time monitoring"""
# Initialize AgentOps
success = await self.agentops.initialize_session()
if success:
dashboard_url = await self.agentops.get_dashboard_url()
print(f"π AgentOps Dashboard: {dashboard_url}")
self.running = True
# Start monitoring loop
while self.running:
try:
status = await self.tracker.get_status()
# Send status update
await self.agentops.log_event("status_update", status)
# Check if goal reached
if status["progress_percent"] >= 100:
await self.agentops.log_event("goal_achieved", {
"message": "$50/day goal achieved!",
"total_earned": status["daily_earnings"]
})
print("π GOAL ACHIEVED! $50/day reached!")
await asyncio.sleep(60) # Update every minute
except Exception as e:
await self.agentops.log_error(
"monitoring_error",
str(e),
{"component": "RealTimeMonitor"}
)
await asyncio.sleep(60)
async def stop_monitoring(self):
"""Stop monitoring"""
self.running = False
await self.agentops.end_session()
# Integration wrapper for existing code
class AgentOpsIntegration:
"""Easy integration with existing E-FIRE-1 code"""
def __init__(self):
self.monitor = AgentOpsMonitor()
self.tracker = None
async def initialize(self):
"""Initialize integration"""
success = await self.monitor.initialize_session()
if success:
self.tracker = EarningsTracker(self.monitor)
print("β
AgentOps integration ready")
return True
return False
async def track_earning(self, amount: float, strategy: str, api_cost: float):
"""Track earnings"""
if self.tracker:
await self.tracker.track_earning(amount, strategy, api_cost)
async def track_api_usage(self, provider: str, model: str, cost: float, tokens: int):
"""Track API usage"""
if self.tracker:
await self.tracker.track_api_call(provider, model, cost, tokens)
async def get_dashboard_url(self):
"""Get dashboard URL"""
return await self.monitor.get_dashboard_url()
async def main():
"""Test AgentOps integration"""
print("π Testing AgentOps Integration")
print("=" * 50)
integration = AgentOpsIntegration()
success = await integration.initialize()
if success:
dashboard_url = await integration.get_dashboard_url()
print(f"π Dashboard: {dashboard_url}")
# Test tracking
await integration.track_earning(5.25, "crypto_arbitrage", 0.02)
await integration.track_api_usage("openai", "gpt-4", 0.03, 1000)
print("β
AgentOps integration working!")
print("π Elizabeth is now fully monitored!")
else:
print("β οΈ AgentOps integration failed - check API key")
if __name__ == "__main__":
asyncio.run(main()) |