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Building Multi-Agent Systems That Don't Fall Over

Vikram IyerPrincipal AI EngineerMar 15, 20267 min read

Summary

Coordinating multiple agents introduces failure modes single-agent systems never see. Here's how we design for resilience.

Key takeaways

How to use this in real systems

  1. 1.Multi-agent systems fail in ways single-agent systems don't: agents can loop indefinitely, disagree without resolution, or silently drop context between handoffs.
  2. 2.We design for resilience with explicit handoff contracts, timeout and loop-detection policies, and a supervisor pattern that can intervene when agents disagree.
  3. 3.This post covers the patterns we've productionized in Agent Studio and the failure modes they were built to prevent.

Article

Multi-agent systems fail in ways single-agent systems don't: agents can loop indefinitely, disagree without resolution, or silently drop context between handoffs.

We design for resilience with explicit handoff contracts, timeout and loop-detection policies, and a supervisor pattern that can intervene when agents disagree.

This post covers the patterns we've productionized in Agent Studio and the failure modes they were built to prevent.

Multi-Agent SystemsReliabilityArchitecture

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