llm-in-sandbox

This project presents a systematic study showing that placing an LLM inside a code sandbox with basic computer functionalities lets it significantly outperform standalone LLMs across various domains (chemistry, physics, math, biomedicine). It uses Docker isolation for security and works with OpenAI, Anthropic, vLLM, and SGLang.