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A forecast-driven, multi-dimensional rate limiter runs inside a company's own stack to cover the window between a bot attack starting and a vendor's model catching up. It uses libraries like pandas and Redis, with UTC timestamps and zero-filled buckets. The design fixes key and threshold choices, not the counter itself.
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