# Fibo · Structured Prompt API

> Converta in prompt u in maletg da referenza en la descripziun JSON structurada da Fibo empè da renderisar in maletg

Endpoint en il stil d'in model linguistic che restituescha il prompt structurà per in maletg empè dal maletg sez. Ils inputs èn `prompt`, in `structured_prompt` existent u in `image_url` da referenza, plus `seed`. L'output JSON cuntegna champs sco estetica, illuminaziun, objects, caracteristicas fotografias, curta descripziun, medium dal stil e text da renderisar.

- Model id: `bria/fibo/generate/structured_prompt`
- Made by: Bria AI
- Category: LLM
- Output: json
- Price: $0.01 / request (cheapest run $0.01 (10 API credits))
- Run: `POST https://api.doitong.com/v1/run/bria/fibo/generate/structured_prompt`
- Quote: `POST https://api.doitong.com/v1/quote/bria/fibo/generate/structured_prompt`
- Docs page: https://doitong.com/rm/developers/models/bria/fibo/generate/structured_prompt

## Pricing

Price: **$0.01 / request**. Billed once per request.

The full example input below costs $0.01 = 10 API credits (1 request × 10 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/bria/fibo/generate/structured_prompt` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. 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 |
|---|---|---|---|---|---|---|
| `prompt` |  | string \| null | no |  |  | Prompt utilisà per generar maletgs. |
| `structured_prompt` |  | object {short_description, objects, background_setting, lighting, aesthetics, photographic_characteristics, style_medium, text_render, context, artistic_style, trigger_word, sub_trigger_word, art_direction, action_description, actor_prefix} \| null | no |  |  | Prompt structurà utilisà per la generaziun dal maletg. |
| `structured_prompt.short_description` |  | string \| null | no |  |  | Descripziun curta dal maletg d'output giavischà. |
| `structured_prompt.objects` |  | array of object {description, location, relationship, relative_size, shape_and_color, texture, appearance_details, number_of_objects, pose, expression, clothing, action, gender, skin_tone_and_texture, orientation} \| null | no | `[]` |  | Definescha il cuntegnì dal maletg generà sco glista, cun registraziun dals attributs da mintga object e da lur relaziuns cun ils auters objects represchentads. |
| `structured_prompt.objects[].description` |  | string \| null | no |  |  | Descripziun da l'object d'output giavischà. |
| `structured_prompt.objects[].location` |  | string \| null | no |  |  | Posiziun da l'object entaifer il maletg. |
| `structured_prompt.objects[].relationship` |  | string | yes |  |  | Relaziun da l'object cun ils auters objects dal maletg. |
| `structured_prompt.objects[].relative_size` |  | string \| null | no |  |  | Grondezza da l'object en relaziun cun il maletg. |
| `structured_prompt.objects[].shape_and_color` |  | string \| null | no |  |  | Furma e colur da l'object. |
| `structured_prompt.objects[].texture` |  | string \| null | no |  |  | Textura da l'object. |
| `structured_prompt.objects[].appearance_details` |  | string \| null | no |  |  | Detagls che descrivan l'apparientscha da l'object. |
| `structured_prompt.objects[].number_of_objects` |  | integer \| null | no |  |  | Dumber d'objects entaifer il maletg. |
| `structured_prompt.objects[].pose` |  | string \| null | no |  |  | Posa da l'object represchentà. |
| `structured_prompt.objects[].expression` |  | string \| null | no |  |  | Expressiun mussada da l'object represchentà. |
| `structured_prompt.objects[].clothing` |  | string \| null | no |  |  | Vestgadira purtada da l'object represchentà. |
| `structured_prompt.objects[].action` |  | string \| null | no |  |  | Acziun exequida da l'object represchentà. |
| `structured_prompt.objects[].gender` |  | string \| null | no |  |  | Schlattaina da l'object represchentà. |
| `structured_prompt.objects[].skin_tone_and_texture` |  | string \| null | no |  |  | Textura e tun da la pel da l'object represchentà. |
| `structured_prompt.objects[].orientation` |  | string \| null | no |  |  | Orientaziun da l'object represchentà. |
| `structured_prompt.background_setting` |  | string \| null | no |  |  | Fund per il maletg generà. |
| `structured_prompt.lighting` |  | object {conditions, direction, shadows} \| null | no |  |  | Illuminaziun dal maletg generà. |
| `structured_prompt.lighting.conditions` |  | string \| null | no |  |  | Cundiziuns d'illuminaziun dal maletg generà. |
| `structured_prompt.lighting.direction` |  | string \| null | no |  |  | Direcziun da l'illuminaziun dal maletg generà. |
| `structured_prompt.lighting.shadows` |  | string \| null | no |  |  | Sumbrivas da represchentar en il maletg generà. |
| `structured_prompt.aesthetics` |  | object {composition, color_scheme, mood_atmosphere, aesthetic_score, preference_score} \| null | no |  |  | Qualitads esteticas dal maletg generà. |
| `structured_prompt.aesthetics.composition` |  | string \| null | no |  |  | Cumposiziun dal maletg generà. |
| `structured_prompt.aesthetics.color_scheme` |  | string \| null | no |  |  | Paletta da colurs dal maletg generà. |
| `structured_prompt.aesthetics.mood_atmosphere` |  | string \| null | no |  |  | Stadi d'amez e atmosfera dal maletg generà. |
| `structured_prompt.aesthetics.aesthetic_score` |  | string \| null | no |  |  | Nota estetica per il maletg che vegn generà. |
| `structured_prompt.aesthetics.preference_score` |  | string \| null | no |  |  | Nota da preferenza per il maletg che vegn generà. |
| `structured_prompt.photographic_characteristics` |  | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | no |  |  | Caracteristicas fotografias dal maletg generà. |
| `structured_prompt.photographic_characteristics.depth_of_field` |  | string \| null | no |  |  | Profunditad da champ dal maletg generà. |
| `structured_prompt.photographic_characteristics.focus` |  | string \| null | no |  |  | Focus dal maletg generà. |
| `structured_prompt.photographic_characteristics.camera_angle` |  | string \| null | no |  |  | Angul da camera dal maletg generà. |
| `structured_prompt.photographic_characteristics.lens_focal_length` |  | string \| null | no |  |  | Regulaziun da l'obiectiv per il maletg generà, exprimida sco distanza focala. |
| `structured_prompt.style_medium` |  | string \| null | no |  |  | Medium stilistic dal maletg generà. |
| `structured_prompt.text_render` |  | array of any \| null | no | `[]` |  | Glista d'entradas da text d'integrar en il maletg. |
| `structured_prompt.context` |  | string \| null | no |  |  | Context per il maletg generà. |
| `structured_prompt.artistic_style` |  | string \| null | no |  |  | Stil artistic dal maletg generà. |
| `structured_prompt.trigger_word` |  | string \| null | no |  |  |  |
| `structured_prompt.sub_trigger_word` |  | string \| null | no |  |  |  |
| `structured_prompt.art_direction` |  | string \| null | no |  |  |  |
| `structured_prompt.action_description` |  | string \| null | no |  |  |  |
| `structured_prompt.actor_prefix` |  | string \| null | no |  |  |  |
| `image_url` | `image` | string (image URL) \| null | no |  |  | Maletg da referenza furnì sco datoteca u URL. |
| `seed` |  | integer | no | `5555` |  | Seed che controlla la casualitad per resultats reproducibels. |

File parameters (`image`) 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
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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.com/v1/run/bria/fibo/generate/structured_prompt?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

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

### JavaScript

```javascript
const API = "https://api.doitong.com/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/bria/fibo/generate/structured_prompt?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/bria/fibo/generate/structured_prompt", 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.com/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": "bria/fibo/generate/structured_prompt",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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": "bria/fibo/generate/structured_prompt",
  "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": 10,
    "usd": "0.01",
    "charged": 10,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "short_description": "string",
    "objects": [
      {
        "description": "string",
        "location": "string",
        "relationship": "string",
        "relative_size": "string",
        "shape_and_color": "string",
        "texture": "string",
        "appearance_details": "string",
        "number_of_objects": 1,
        "pose": "string",
        "expression": "string",
        "clothing": "string",
        "action": "string",
        "gender": "string",
        "skin_tone_and_texture": "string",
        "orientation": "string"
      }
    ],
    "background_setting": "string",
    "lighting": {
      "conditions": "string",
      "direction": "string",
      "shadows": "string"
    },
    "aesthetics": {
      "composition": "string",
      "color_scheme": "string",
      "mood_atmosphere": "string",
      "aesthetic_score": "string",
      "preference_score": "string"
    },
    "photographic_characteristics": {
      "depth_of_field": "string",
      "focus": "string",
      "camera_angle": "string",
      "lens_focal_length": "string"
    },
    "style_medium": "string",
    "text_render": [],
    "context": "string",
    "artistic_style": "string"
  },
  "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `short_description` | string \| null | Descripziun curta dal maletg d'output giavischà. |
| `objects` | array of object {description, location, relationship, relative_size, shape_and_color, texture, appearance_details, number_of_objects, pose, expression, clothing, action, gender, skin_tone_and_texture, orientation} \| null | Definescha il cuntegnì dal maletg generà sco glista, cun registraziun dals attributs da mintga object e da lur relaziuns cun ils auters objects represchentads. |
| `background_setting` | string \| null | Fund per il maletg generà. |
| `lighting` | object {conditions, direction, shadows} \| null | Illuminaziun dal maletg generà. |
| `aesthetics` | object {composition, color_scheme, mood_atmosphere, aesthetic_score, preference_score} \| null | Qualitads esteticas dal maletg generà. |
| `photographic_characteristics` | object {depth_of_field, focus, camera_angle, lens_focal_length} \| null | Caracteristicas fotografias dal maletg generà. |
| `style_medium` | string \| null | Medium stilistic dal maletg generà. |
| `text_render` | array of any \| null | Glista d'entradas da text d'integrar en il maletg. |
| `context` | string \| null | Context per il maletg generà. |
| `artistic_style` | string \| null | Stil artistic dal maletg generà. |

## Related models

- [Fibo](https://doitong.com/developers/models/bria/fibo/generate.md) (`bria/fibo/generate`): $0.04 / image
- [Fibo Edit \[Structured Instruction\]](https://doitong.com/developers/models/bria/fibo-edit/edit/structured_instruction.md) (`bria/fibo-edit/edit/structured_instruction`): $0.01 / request
- [Fibo Lite · Structured Prompt](https://doitong.com/developers/models/bria/fibo-lite/generate/structured_prompt.md) (`bria/fibo-lite/generate/structured_prompt`): $0.008 / request
- [Bytedance Seed V2 Mini](https://doitong.com/developers/models/bytedance/seed/v2/mini.md) (`bytedance/seed/v2/mini`): $0.0001 / 1000 tokens
- [Mureka 9.5 Lyrics Generation](https://doitong.com/developers/models/mureka/api/generate/lyrics.md) (`mureka/api/generate/lyrics`): $0.0135 / request
- [Nemotron 3 Nano Omni](https://doitong.com/developers/models/nvidia/nemotron-3-nano-omni.md) (`nvidia/nemotron-3-nano-omni`): $0.01 / run
- [NVIDIA Nemotron 3.5 Super Text](https://doitong.com/developers/models/nvidia/nemotron-3-5-super/text.md) (`nvidia/nemotron-3-5-super/text`): $0.01 / run
- [OpenRouter](https://doitong.com/developers/models/openrouter/router.md) (`openrouter/router`): $0.01 / usage unit

## Links

- HTML page: https://doitong.com/developers/models/bria/fibo/generate/structured_prompt
- 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=bria/fibo/generate/structured_prompt
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/bria/fibo/generate/structured_prompt