title: "Pourquoi les agents ont besoin de bacs à sable, pas de fenêtres de contexte plus grandes"

AI agents require sandboxes rather than just larger context windows to effectively scale their analytical capabilities. Sandboxes provide a necessary environment for agents to operate beyond the inherent limitations of a Large Language Model's context. This architectural choice enables agents to handle more complex tasks and larger datasets, making it a more scalable solution than simply increasing the LLM's input capacity.