Currently, Deep Agents provide mechanisms like`context.compact`and summarization middleware to manage the textual conversation history within the context window. However, with the increasing use of multimodal LLMs and the ability to send images to agents, the handling of image-based context for compression or reduction is unclear. Images can consume a significant portion of the context window. It’s important for building efficient and scalable multimodal applications to understand if or how Dee...