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Serve JSON-schema outputs at high throughput: what do you precompile, what do you cache, and what is the tokenizer boundary problem?

A per-request schema compile stalls the scheduler, a per-step mask must beat the forward pass, and skipping forced characters can push the model off its own tokenization. The answer handles all three with numbers from one realistic schema.

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

A per-request schema compile stalls the scheduler, a per-step mask must beat the forward pass, and skipping forced characters can push the model off its own tokenization. The answer handles all three with numbers from one realistic schema.

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Next in this trackImplement beam search on a paged KV cache. How do forking and pruning work on block tables, and what does beam width 4 cost in memory?Next in this trackSpeculative decoding with a quantized target or a quantized draft: does losslessness still hold, and against which distribution?Next in this trackChoose the speculative draft length per request at runtime. What signal, what policy, and how much does it beat a fixed gamma?
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