add-image-vision

To add image understanding to a WhatsApp agent, you need to download shared images, resize them, and pass them as base64-encoded multimodal content blocks to the agent for visual reasoning.

The agent processes base64 image content by taking preprocessed, resized image attachments and passing them as multimodal blocks, enabling the agent to analyze the visual context and generate content-based responses in the group chat.

Yes, you must rebuild the container and merge the required WhatsApp channel integration skill branch to deploy end-to-end image vision functionality for NanoClaw agents.

Yes, sharp is used to resize downloaded WhatsApp image attachments, which are then saved to the group workspace and encoded as base64 multimodal blocks before being passed to the agent.

This image vision approach is limited to WhatsApp group conversations where the WhatsApp channel integration is merged, requiring specific code changes in image handling and a container rebuild to function properly.