Perceptron: Perceptron Mk1.5

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks, and clips. It supports graded reasoning through the standard reasoning controls, function tool calling, and structured outputs via JSON Schema. Structured annotations are emitted inline with text only when requested via the `annotation_format` parameter (`"point"`, `"box"`, or `"polygon"` for spatial localization on images, `"clip"` for temporal segments in video). Video soundtracks are analyzed only when explicitly enabled per request.