Structured Context Engineering for File-Native Agentic Systems
Read OriginalA new paper systematically studies context engineering for structured data in LLMs, using SQL generation as a proxy for agentic operations. It details 9,649 experiments across 11 models and 4 file formats (YAML, Markdown, JSON, TOON) with schemas from 10 to 10,000 tables, comparing frontier models (Opus 4.5, GPT-5.2) against open-source alternatives (DeepSeek, Llama 4).
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