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Where Does Exactly-Once Live? Model, Harness, and Tool-Contract Effects on Duplicate Side Effects in LLM Agents
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers introduced LIMBO, a benchmark evaluating where to enforce exactly-once execution for tool-using LLM agents facing timeouts.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 25 September 2026
- Collected by OneBench
- 26 Sept 2026, 03:02 UK
Stored source excerpt
arXiv:2609.29095v1 Announce Type: new Abstract: When a tool-using agent's write times out or returns a server error, the action may already have taken effect. Retrying…
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The factual summary is a OneBench synthesis, not a quotation or independent verification. Collection time is not publication time. Open the source for its full context; related reporting can share the same underlying announcement.
OneBench interpretation
Institutional assessment
So what
Unreliable idempotency in agentic AI frameworks risks duplicate financial transactions or announcements during network timeouts.
Do what
Review retry contracts and idempotency keys with the team developing agentic AI workflows.