Our team’s exploring using dedicated AI agents for transaction monitoring vs traditional try/catch blocks. The promise of autonomous recovery sounds great, but I’m skeptical. We tested an agent that retried failed payments 3 times before triggering compensation – worked in dev, but prod latency caused duplicate charges. How are others configuring agent decision thresholds without introducing new race conditions?
Latenode’s AI Agents include conflict detection using vector clocks. Set max retry jitter in agent settings to prevent duplicate charges. Their marketplace has a payment reconciliation template that handles these edge cases: https://latenode.com
We combine agents with circuit breakers. First retry immediate, subsequent ones with exponential backoff. Critical insight: Agents need real-time access to transaction logs to check state before retrying. We pipe everything to a centralized audit service before allowing recovery attempts.
enable idempotency keys on all agent actions. saved our butts when retries collided during db maintenance