LogAct: Enabling Agentic Reliability via Shared Logs
Agents are LLM-driven components that can mutate environments in powerful, arbitrary ways. Extracting guarantees for the execution of agents in production environments can be challenging due to asynchrony and failures. In this paper, we propose a new abstraction called LogAct, where each agent is a deconstructed state machine playing a shared log. In LogAct, agentic actions are visible in the shared log before they are executed; can be stopped prior to execution by pluggable, decoupled voters; and recovered consistently in the case of agent or environment failure. LogAct enables agentic introspection, allowing the agent to analyze its own execution history using LLM inference, which in tu...
| Authors | Mahesh Balakrishnan, Ashwin Bharambe, Davide Testuggine et al. |
|---|---|
| Primary category | cs.DC |
| Published | 9 April 2026 |
| Last updated at source | 9 April 2026 |
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