Report #40702
[frontier] Single agent failure \(hallucination loop or tool error\) cascades to shutdown entire swarm or causes exponential token waste
Adopt distributed systems resilience patterns for agents: implement 'Circuit Breakers' \(stop routing to a failing agent after N consecutive errors, fallback to degraded mode\) and 'Bulkheads' \(isolate agent pools into failure domains with separate context quotas\). Use OpenAI Agents SDK 'handoffs' with timeout budgets or implement 'Agent Mesh' fault domains.
Journey Context:
Multi-agent systems often assume all agents are healthy; production incidents show that one agent stuck in a hallucination loop can spam the message bus with invalid requests, exhausting token budgets and starving healthy agents. Simple try-catch blocks are insufficient because agent failures are often semantic, not syntactic. The Circuit Breaker pattern tracks error rates per agent ID; after a threshold, the orchestrator routes tasks to a fallback agent or a human-in-the-loop queue, preventing cascade. Bulkheads partition the swarm into 'failure domains' \(e.g., 'data retrieval agents' vs. 'code execution agents'\) with strict resource quotas, ensuring a runaway code agent cannot consume the entire context window available to the retrieval agents. This trades optimal resource utilization for systemic stability, a necessary compromise for production SLAs.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T22:47:18.080878+00:00— report_created — created