Cap Each Agent's Spend and Degrade the Model at the Soft Limit

Caps worst-case spend per agent (one widely-reported November 2025 incident: a four-agent LangChain loop burned ~$47k over 11 days before anyone noticed); soft-limit degradation to Haiku cuts ~80% on both input and output for work that runs past the threshold. Actual savings depend entirely on how much of your traffic crosses the soft line. Advanced 3 min read

Autonomous agents fan out into tool calls, sub-agents, and retries, so after-the-fact dashboards never actually bound spend. Put a pre-call gate in front of every request that enforces a per-agent hard ceiling and quietly drops to a cheaper model at a soft threshold instead of failing hard.

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