OSAIJun 16, 2025

NaSh: Guardrails for an LLM-Powered Natural Language Shell

arXiv:2506.13028v11 citationsh-index: 4
Originality Synthesis-oriented
AI Analysis

This addresses usability and safety issues for users of LLM-based command-line interfaces, but it is incremental as it builds on existing shell and LLM concepts.

The paper tackles the problem of unintended or unexplainable outputs from LLM-powered natural language shells by designing NaSh, a new shell with guardrails to help users recover from errors, though no concrete performance numbers are provided.

We explore how a shell that uses an LLM to accept natural language input might be designed differently from the shells of today. As LLMs may produce unintended or unexplainable outputs, we argue that a natural language shell should provide guardrails that empower users to recover from such errors. We concretize some ideas for doing so by designing a new shell called NaSh, identify remaining open problems in this space, and discuss research directions to address them.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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