How I Built an Autonomous AI Agent That Earns USDC While I Sleep

It looks like you're working on a system that integrates an LLM (Language Model) service with payment handling using USDC on the Base network. The provided code snippets outline the structure of such a system, but there are some missing parts and potential improvements to ensure everything works correctly.

Let's break down each part and provide a more complete implementation:

1. Task Manager – LLM Service

This is the main component that handles incoming tasks, verifies payments, and invokes the LLM service.

python
 
1import asyncio
2from typing import Dict, Any
3import logging
4import json
5
6# Initialize logger
7logger = logging.getLogger(__name__)
8
9class TaskManager:
10    def __init__(self, price_map: Dict[str, int], llm_call: callable):
11        self.price_map = price_map  # Mapping of paths to prices in wei
12        self.llm_call = llm_call  # Callable that invokes the LLM service
13
14    async def worker(self):
15        while True:
16            task = await self.get_task()  # Assume this method fetches a new task
17            if not task:
18                continue
19            
20            path = json.loads(task['body'])['path']
21            price = self.price_map.get(path)
22
23[Read the full article at DEV Community](https://dev.to/nikhilranka23/how-i-built-an-autonomous-ai-agent-that-earns-usdc-while-i-sleep-1f2m)
24
25---
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