Cost-Aware Speculative Execution for LLM-Agent Workflows: An Integrated Five-Dimension Method
LLM-agent workflows chain model calls and tool invocations, and spend most of their wall-clock time waiting on upstream operations before downstream ones can start. Speculative execution can reclaim that idle time by launching a downstream operation with a predicted upstream input, but here each speculation costs real money (per-token billing) and its success probability is hard to estimate and drifts over time. This paper presents a method organized around five design decisions: (D1) start a downstream operation before its upstream completes; (D2) price each speculation in real dollars at separate input and output rates; (D3) expose a single operator dial for latency versus cost; (D4) de...
| Authors | Faisal Fareed |
|---|---|
| Primary category | cs.DC |
| Published | 5 June 2026 |
| Last updated at source | 5 June 2026 |
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