AI database agents require query budgets to manage risks associated with read-only access. These budgets define limits on data scanning, query runtime, rows returned, and cost, ensuring predictable and controlled interactions. Implementing budgets per workflow, such as for support or sales analysis, helps maintain agent usefulness while preventing unintended data access or excessive resource consumption. AI
IMPACT Introduces a necessary control mechanism for AI database tools to ensure predictable and safe data access.
RANK_REASON Article discusses a specific control mechanism for AI database tools, not a new model or core research.
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