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A constrained SQL harness helped NVIDIA place second in the KDD Cup data-agent competition

developer.nvidia.com by Jiwei Liu 11 min read Editor score 8/10

The team unified data in SQLite, added preflight schema scouting, and limited the agent to a small toolset with middleware and persistent state. These design choices offer practical ways to reduce routing errors and keep agent context focused.

What
NVIDIA's KGMON team placed second in the KDD Cup 2026 Data Agents competition with a constrained harness around a small, fixed LLM.
How
The system unified structured sources in SQLite, exposed narrow schema() and sql() tools, and used preflight schema scouting.
Why it matters
Limiting tool choices and preserving inspectable traces helps engineers build and improve reliable agents around smaller models.
inspect schema query data results SQLite schema() sql(query) write_answer(df)
The harness exposes database structure and queries through a narrow SQLite tool path. Sketched from the article's own text.

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