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Implement a per-tenant rate limiter for an LLM API that limits tokens, not requests, using a token bucket.

A request costs anything from ten tokens to a hundred thousand, and you only learn the real cost when it finishes. The answer reserves at admission, refunds at completion, fails fast on requests that can never fit, and tests the bound the bucket is supposed to guarantee.

Updated Oct 2026 · Worked answers on inference mechanisms, with calculations, implementation details, and follow-up questions.

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Next in this trackImplement a KV block allocator that shares prefix blocks across requests by chained hashes, with LRU eviction of cached free blocks.Next in this trackImplement a minimal autoregressive generate loop that streams text and honors stop sequences, including ones split across tokens.Next in this trackImplement split-KV decoding attention and the merge of the partial results, and prove it matches attention over the whole sequence.

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