> ## Documentation Index
> Fetch the complete documentation index at: https://docs.reilabs.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Spatial Vision endpoint

> Run non-LLM spatial VQA and grounded object-relative pointing.

## Endpoint

`POST https://rei-neuroadapt-api.reilabs.org/api/v1/vision/spatial`

The compatibility alias is `POST https://rei-neuroadapt-api.reilabs.org/api/v1/vision/query`. Use the canonical `/vision/spatial` route for new integrations.

## Request

```json theme={null}
{
  "question": "Pinpoint empty space to the left of the bowl.",
  "image_base64": "<base64-image>",
  "use_detector": true,
  "use_segmenter": true
}
```

Accepted image fields are `image`, `image_base64`, and `image_url`; each contains base64 or a data URL, not an arbitrary remote URL. Optional depth fields are `depth` and `depth_base64`. You can also provide `object_hints` or `scene_masks`.

## Validate the result

Points and bounding boxes are normalized to `[0, 1]`. A `200` response can still be a degraded fallback. For object-relative pointing, require `vision.detector.status` to be `ok` and `vision.detector.region_count` to be positive; inspect segmenter status and mask count when segmentation is required.

## Related

See [Spatial Vision](/docs/neuroadapt/spatial-vision) for integration guidance and degradation handling.