# VGGT-1B API

> Membina semula adegan 3D daripada sehingga 48 imej atau satu video, lalu mengembalikan peta kedalaman, pose kamera dan awan titik

Menganggar geometri daripada berbilang pandangan. Berikan sehingga 48 imej dalam `image_urls`, dan secara pilihan tambah `video_url` yang disampel setiap `frame_sampling_rate` bingkai. Ia mengembalikan peta kedalaman setiap bingkai, ekstrinsik dan intrinsik kamera, fail ramalan mentah serta awan titik GLB dengan kon kamera. `confidence_percentile` dan `max_points` mengawal kepadatan awan titik.

- Model id: `vggt-1b`
- Made by: Meta
- Category: Vision
- Output: json
- Charged by usage (up to $1.755 per run, typical $0.04; the rest of the hold is refunded): $0.000975 / second of processing time (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.ru/v1/run/vggt-1b`
- Quote: `POST https://api.doitong.ru/v1/quote/vggt-1b`
- Docs page: https://doitong.com/ms/developers/models/vggt-1b

## Pricing

Price: **$0.000975 / second of processing time**. Charged by actual usage at $0.000975 / second of processing time: up to $1.755 per run (the quote gives the maximum for your input), the rest is refunded automatically after the run. A typical run costs $0.04.

The full example input below holds up to $1.755 = 1755 API credits (up to 1800 s of processing time × $0.000975) when it starts; a typical run costs $0.04 (40 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). This model is charged by usage: `POST https://api.doitong.ru/v1/quote/vggt-1b` with the same JSON body returns the most the run can cost for that input (`credits`, debited when the run starts); after the run you pay the usage the model reports and the rest is refunded automatically. An input whose maximum would exceed the per-run limit is refused with 422. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `image_urls` | `images` | array of image URL | no |  | ≤ 48 items | Imej sumber pembinaan semula, setiap satunya dipad ke dalam segi empat sama dan diubah saiz kepada dimensi terpanjang 518 piksel. JPEG, PNG, WEBP dan sebarang format imej tambahan yang boleh dinyahkod oleh Pillow diterima. |
| `video_url` | `video` | string (video URL) \| null | no |  |  | Video sumber pilihan yang bingkainya disampel mengikuti image_urls dalam input gabungan. Pensampelan menggunakan setiap bingkai ke-`frame_sampling_rate`, sentiasa termasuk bingkai pertama dan terakhir. |
| `frame_sampling_rate` |  | integer | no | `24` | 1 – 1,000 | Selang bingkai yang digunakan hanya apabila video dibekalkan melalui `video_url`; jika tidak, tiada kesan. Kedua-dua bingkai sempadan dikekalkan tanpa mengira selang, dengan setiap bingkai ke-n disampel di antaranya. |
| `alpha_blend_onto` |  | enum (string) | no | `white` | `keep`, `white`, `black`, `mean` | Pengendalian saluran alfa menawarkan empat pilihan: 'keep' membuang alfa tanpa mengubah nilai piksel asal; 'mean' menggabungkan dengan purata RGB ImageNet. Untuk latar warna padu, pilih 'white' atau 'black' untuk menggabungkan dengan warna yang sepadan. |
| `export_prediction_data` |  | boolean | no | `true` |  | Eksport ramalan mentah sebagai fail JSON berasingan untuk setiap bingkai. Setiap fail mengandungi kedalaman dan keyakinannya, topeng, serta pose kamera yang dikodkan. |
| `export_depth_maps` |  | boolean | no | `true` |  | Eksport raster kedalaman dengan pemetaan linear `depth_range` kepada nilai piksel 0–65535. Setiap bingkai mendapat PNG skala kelabu berasingan dengan ketepatan 16-bit. |
| `export_point_cloud` |  | boolean | no | `true` |  | Eksport awan titik berwarna bercantum dalam format GLB, dengan kamera anggaran diwakili oleh mesh kon individu dalam adegan. |
| `array_encoding` |  | enum (string) | no | `base64` | `base64`, `list` | Format storan tatasusunan untuk fail JSON ramalan; 'list' menggunakan ruang jauh lebih besar daripada 'base64'. Pilih 'list' untuk senarai JSON bersarang atau 'base64' untuk objek yang mengandungi {data, shape, dtype}. |
| `exclude_keys` |  | array of enum (string) | no |  |  | Kunci yang dikecualikan daripada setiap fail JSON ramalan. |
| `confidence_percentile` |  | number | no | `50` | 0 – 100 | Peratus penapisan berasaskan keyakinan untuk pembinaan awan titik: 0 melumpuhkan penapisan, manakala nilai lain mengecualikan peratusan titik tersebut, bermula dengan titik paling kurang diyakini. |
| `max_points` |  | integer | no | `250000` | 1,000 – 5,000,000 | Had bilangan titik GLB, lalai kepada 250,000. Untuk mengurangkan kependaman pensirilan dan muat naik, pilihan yang disampel sekata akan ditulis apabila awan melebihi belanjawan ini. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Togol pemeriksaan keselamatan untuk input imej dan video. |

File parameters (`images`, `video`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{}
```

A fuller example:

```json
{}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/vggt-1b?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/vggt-1b?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/vggt-1b", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.ru/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "vggt-1b",
      "input": {},
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "vggt-1b",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 1755,
    "usd": "1.755",
    "charged": 1755,
    "refunded": 0
  },
  "input": {},
  "output": {
    "point_cloud": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "depth_maps": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "content_type": "image/jpeg",
        "file_name": "0-output.jpeg",
        "file_size": 1843200,
        "width": 1024,
        "height": 768
      }
    ],
    "prediction_data": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "content_type": "image/jpeg",
        "file_name": "0-output.jpeg",
        "file_size": 1843200
      }
    ],
    "num_frames": 1,
    "depth_range": [
      1.0
    ],
    "extrinsics": [
      [
        [
          1.0
        ]
      ]
    ],
    "intrinsics": [
      [
        [
          1.0
        ]
      ]
    ],
    "timings": {}
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `point_cloud` | object {url, content_type, file_name, file_size} \| null | Eksport awan titik yang dikembalikan apabila `export_point_cloud` adalah true; adegan GLB menggabungkan awan bercantum dengan kon kamera. |
| `depth_maps` | array of object {url, content_type, file_name, file_size, width, height} | Eksport peta kedalaman yang tersedia apabila `export_depth_maps` adalah true. Entri mengikut urutan bingkai sumber, dengan setiap bingkai diwakili oleh raster PNG skala kelabu pada kedalaman 16-bit. |
| `prediction_data` | array of object {url, content_type, file_name, file_size} | Eksport ramalan mentah: apabila `export_prediction_data` adalah true, setiap bingkai mempunyai fail JSON sendiri dan fail mengikut urutan bingkai. |
| `num_frames` | integer | Jumlah bilangan bingkai yang dibina semula, termasuk imej dan bingkai yang disampel daripada video. |
| `depth_range` | array of number | Had kedalaman [min, max] yang digunakan untuk kuantisasi `depth_maps`. Pulihkan kedalaman sebagai min + piksel * (max - min) / 65535. |
| `extrinsics` | array of array of array of number | Matriks ekstrinsik kamera-daripada-dunia, bersaiz 3x4, bagi setiap bingkai; paksi OpenCV menghala ke kanan sepanjang x, ke bawah sepanjang y dan ke hadapan sepanjang z. |
| `intrinsics` | array of array of array of number | Matriks intrinsik pinhole, bersaiz 3x3, bagi setiap bingkai, dinyatakan dalam koordinat piksel bingkai model 518x518. |
| `timings` | object | Masa berlalu mengikut jam dinding bagi setiap peringkat, dalam saat. |

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## Links

- HTML page: https://doitong.com/developers/models/vggt-1b
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=vggt-1b
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/vggt-1b