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Budget guardrails, runaway agent patterns, and what other tools don't tell you.
Agent loops, retry cascades, and unexpected document sizes are the three ways teams wake up to a five-figure bill. Here is the architecture that stops each one before the call fires.
Per-user LLM metering requires tracking spend by customer, enforcing limits, and connecting it to Stripe. Here is a complete implementation walkthrough with the three architectural approaches teams use.
Rate limiting LLM APIs by request count is easy. Rate limiting by dollar spend is harder. Here is a practical implementation that enforces per-user and per-project spend limits without a managed proxy.
GPT-4o and Claude Sonnet cost 10-20x more than their smaller siblings. The quality gap is real but unevenly distributed across task types. Here is how to decide which model each feature actually needs.
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