The liveness aspect might surprise you, as agents typically appear to progress and terminate in most workflows, but this doesn't ensure consensus. A common pattern involves cyclical design decision reversals where agents alternately select and revert changes. Interestingly, shared-machine execution might permit improvements beyond pure crash failure models—commands like ps | grep claude could function as failure detectors enabling stronger consensus bounds. Chandra and Toueg's "Unreliable Failure Detectors for Reliable Distributed Systems" demonstrates that consensus becomes achievable in FLP settings when agents access failure detection mechanisms. One practical implication might involve providing LLMs with agent liveness verification tools.
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