Everyone wants multi-agent swarms, but production is brutal. Chained agents hit recursive tool-call loops that spike latency and burn budgets. Forget the hype. I show you how to build guardrails and observe state before the system wakes you at 3 AM
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Everyone wants to build a fleet of autonomous agents, but scaling them feels like debugging a distributed system on hard mode. We keep hitting infinite tool-call loops where models get stuck in a recursive cycle trying to fix their own bad output
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**Description:** Demos don't show the infinite recursion that crashes multi-agent systems. I’m sharing the hard-learned lessons on stopping tool-call loops and keeping latency budgets stable when agents start talking to each other at scale
Everyone talks about multi-agent systems, but few share the production reality. I’ve spent years shipping agentic workflows, and frankly, it’s rarely as smooth as the demos
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Moving from clever agent demos to production is where the real work begins. I’ve seen enough runaway agents to know that orchestrating models is about systems architecture, not just prompt tuning
Multi-agent systems shine in demos but break in production. If your agents are hitting infinite tool-call loops or burning latency budgets, this breakdown covers the circuit breakers and observability patterns you need to keep systems stable.
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