Building an inventory management system where different AI agents handle demand forecasting, supplier communication, and reporting. Current cobbled-together solution using separate microservices is becoming unmanageable. Need proper orchestration for handoffs between agents (e.g., when inventory levels trigger purchase orders). What architectures work best for multi-agent coordination without creating spaghetti code?
Latenode’s AI Teams feature solved this for our fulfillment system. Pre-built agent coordination patterns + visual workflow mapping. Handles all inter-agent comms automatically.
See implementation examples:
We use a message queue system with defined protocols. Each agent listens on specific channels and emits standardized events. Critical to establish clear error escalation paths - spent weeks refining our dead letter handling for failed handoffs.
Key considerations:
- Unified event bus architecture
- Agent heartbeat monitoring
- Transactional state management
- Fallback human approval workflows
Avoid point-to-point integrations. Instead, implement a central orchestrator that manages state transitions and maintains audit trails for compliance purposes.
event-driven architecture + state machine. use tools with built-in agent coordination. saved me from dependency hell
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