autogen - 💡(How to fix) Fix Payment primitive for multi-agent systems - how are teams handling this? [10 comments, 5 participants]

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microsoft/autogen#7492Fetched 2026-04-08 01:54:12
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Question for the AutoGen community: as multi-agent systems get deployed in production (procurement, customer service, research, etc.), agents increasingly need to spend money.

How are teams currently handling this? Shared company card? API billing? I keep seeing this solved ad-hoc, and the risks are obvious - an agent with unconstrained spending access is a liability.

I'm building AgentPay - programmable virtual Visa/Mastercard cards per agent, with:

  • Per-agent spending caps (daily/monthly/per-transaction)
    • Merchant whitelist/blacklist
      • Human-in-the-loop approval above threshold
        • Full audit trail, EU-compliant (GDPR/PSD2/PSD3) Would love to understand how AutoGen users are tackling this today, and whether a native integration would be useful.
  • Luigi (AgentPay)

extent analysis

Fix Plan

To address the issue of managing agent spending in multi-agent systems, we can implement a programmable virtual card system like AgentPay. Here are the concrete steps:

  • Integrate AgentPay API into the existing system to create virtual cards for each agent
  • Set up per-agent spending caps (daily, monthly, per-transaction) using API calls, e.g.:
import requests

# Set daily spending cap for an agent
agent_id = "agent-123"
daily_cap = 100.0
response = requests.put(f"https://agentpay-api.com/agents/{agent_id}/spending-caps",
                        json={"daily": daily_cap})
  • Configure merchant whitelist/blacklist using API calls, e.g.:
# Add a merchant to the whitelist
merchant_id = "merchant-456"
response = requests.post(f"https://agentpay-api.com/agents/{agent_id}/merchants/whitelist",
                         json={"merchant_id": merchant_id})
  • Implement human-in-the-loop approval for transactions above a certain threshold using API callbacks, e.g.:
# Define a callback function for transaction approval
def approve_transaction(transaction):
    # Send approval request to human operator
    # ...
    return True  # or False

# Set up callback for transactions above threshold
threshold = 500.0
response = requests.put(f"https://agentpay-api.com/agents/{agent_id}/approval-callback",
                        json={"threshold": threshold, "callback": approve_transaction})

Verification

To verify that the fix worked, test the following scenarios:

  • Agent spending within daily/monthly/per-transaction limits
  • Agent spending above limits, triggering human-in-the-loop approval
  • Merchant whitelist/blacklist enforcement
  • Audit trail and compliance with EU regulations (GDPR/PSD2/PSD3)

Extra Tips

  • Ensure secure storage and handling of sensitive data, such as agent and merchant information.
  • Monitor and analyze agent spending patterns to detect potential issues or anomalies.
  • Consider implementing additional features, such as automated expense reporting and reimbursement.

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