I’ve been looking at multi-agent failure states, and it seems like everyone is relying on basic Python step_counters or LLM prompt-engineering (“do not repeat yourself”) to prevent agents from falling into infinite tool-calling loops or stampeding APIs. Coming from a low-level systems/C++ background, handling loop-prevention at the application layer feels insane. It adds latency, and when a timeout triggers, it just leaves the state half-executed. Has anyone tried intercepting tool calls deter...