AI RESEARCH
Sophrosyne: Agentic Exploration of Relational Data Systems Needs Moderation
arXiv CS.AI
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ArXi:2605.30862v1 Announce Type: cross Text2SQL agents powered by LLMs translate natural language intent into SQL by exploring the data system through tool calls before formulating the query. However, to ensure secure and scoped access, data systems construct environments with explicit API surfaces. We study and categorize these APIs exposed today as either coarse-grained or fine-grained and posit that choosing between them presents a fundamental tradeoff between cost-efficient exploration and accurate SQL generation.