Preventing Runaway LLM Bills: Building a Resilient AI Worker Queue with Redis, BullMQ, and Model Fallbacks
This story is from 2026-11-05. It is preserved in the archive; the latest stories are on the live feed.
Building autonomous agents or AI-driven background tasks is exciting—until a bad retry loop or unexpected 429 rate-limit cascades into a $2,000 API bill overnight. In production, naive API calls with standard try/catch fail for three predictable reasons: Cascading Rate Limits: Hitting OpenAI's TPM…
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- 2026-11-05 16:45 · DEV Community — AI
Preventing Runaway LLM Bills: Building a Resilient AI Worker Queue with Redis, BullMQ, and Model Fallbacks
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