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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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Multi-agent setups look slick in a sandbox but fail in production. You will inevitably find your agents stuck in infinite tool-call loops. Debugging distributed state is a nightmare compared to standard services
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Here is the description for your post, crafted to be both practical and punchy: **Short Description (247 characters):** Multi-agent systems look great until you hit your first infinite tool-call loop that tanks your latency budget