Agent Payment intergration

[zhangchi838596241]

Hello All,
I am intersted with Payment agent project and want to join with you. I have some work experience on Form of Payment
So i can see in this project we try to use AP2 as integrated protocol, have we consider the protocol ACP?
Please contact with me when you are free

[KeepALifeUS]

Agent payment integration is crucial for production systems. Here's a pattern that works:

Payment-Aware Agent Architecture

from dataclasses import dataclass
from decimal import Decimal
from typing import Optional

@dataclass
class PaymentState:
    balance: Decimal
    spent: Decimal = Decimal("0")
    budget_limit: Optional[Decimal] = None
    transaction_log: list = None
    
    def __post_init__(self):
        self.transaction_log = self.transaction_log or []
    
    def can_afford(self, cost: Decimal) -> bool:
        if self.budget_limit:
            return self.spent + cost <= self.budget_limit
        return self.balance >= cost
    
    def charge(self, cost: Decimal, description: str) -> bool:
        if not self.can_afford(cost):
            return False
        self.spent += cost
        self.balance -= cost
        self.transaction_log.append({
            "cost": float(cost),
            "description": description,
            "remaining": float(self.balance)
        })
        return True

class PaymentAwareAgent:
    def __init__(self, agent, payment_state: PaymentState):
        self.agent = agent
        self.payment = payment_state
    
    def execute_tool(self, tool_name: str, args: dict):
        # Get tool cost
        cost = self.get_tool_cost(tool_name, args)
        
        # Check budget
        if not self.payment.can_afford(cost):
            return {
                "error": "insufficient_funds",
                "required": float(cost),
                "available": float(self.payment.balance)
            }
        
        # Execute and charge
        result = self.agent.execute(tool_name, args)
        self.payment.charge(cost, f"{tool_name}: {args}")
        
        return result
    
    def get_tool_cost(self, tool_name: str, args: dict) -> Decimal:
        """Cost matrix for different tools"""
        costs = {
            "web_search": Decimal("0.01"),
            "api_call": Decimal("0.05"),
            "llm_generate": Decimal("0.02"),
            "database_query": Decimal("0.001")
        }
        return costs.get(tool_name, Decimal("0.01"))

Integration with CAMEL

from camel.agents import ChatAgent

# Wrap CAMEL agent with payment awareness
payment = PaymentState(balance=Decimal("10.00"), budget_limit=Decimal("5.00"))
agent = PaymentAwareAgent(ChatAgent(...), payment)

# Agent now respects budget
result = agent.execute_tool("web_search", {"query": "..."})

Circuit Breaker for Cost Control

if payment.spent > payment.budget_limit * Decimal("0.8"):
    # Warn and switch to cheaper operations
    agent.switch_to_economy_mode()

More on autonomous agent cost control: https://github.com/KeepALifeUS/autonomous-agents