TokTier: Exact Stateful CPU+GPU Tokenization for Agentic LLM Serving
LLM serving caches prompt KV state, yet most front ends still re-tokenize the full request on every call. Coding agents pay most: sessions repeatedly submit a long transcript after a small append, which can shift token boundaries near the end of the prior sequence. Across 153,951 calls the median append is ~1.4K characters; only 1.0-3.6% of calls start or rebuild a session, yet those carrymulti-million-character contexts. Fleet prompt-cache hit rate is 94.1%, and as it approaches 0.99, tokenization grows from 10% to 64% of time to first token (TTFT) in component measurements. TokTier is a stateful CPU+GPU tokenization service for this two-mode workload, under one contract: emitted token I...
| Authors | Zhenyu Zhang, Zhichao Cao |
|---|---|
| Primary category | cs.CL |
| Published | 31 July 2026 |
| Last updated at source | 6 August 2026 |
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