You Don't Need an LLM to Route Agent Context: Regex Beats Classifiers by 45 Points

In the world of large language models (LLMs), there's a surprising revelation that simple regex can outperform complex classifiers by a significant margin, specifically 45 points. The issue with LLMs lies in their tendency to waste resources by repeatedly processing redundant data, which ContextSniper aims to solve with a more efficient context layer. This approach not only highlights the potential for simpler methods to outperform more complex ones but also underscores the need for more efficient ways of handling data in AI-driven repairs.