# Moondream API

> Répond aux questions sur plusieurs images en un seul appel en acceptant une liste de paires prompt-URL d’image

Version par lots du modèle vision-langage Moondream. Transmettez dans `inputs` une liste d’objets contenant chacun un prompt et une URL d’image, puis recevez une liste de sorties générées avec les noms de fichiers traités et les durées. La génération se règle avec `max_tokens` (32 à 1024, 64 par défaut), `temperature` (0 à 1), `top_p` et `repetition_penalty` (1 à 2). La réponse contient également un indicateur signalant si le résultat est partiel.

- Model id: `moondream/batched`
- Made by: Moondream
- Category: Vision
- Output: json
- Estimated price per run: $0.004 / run (cheapest run $0.004 (4 API credits))
- Run: `POST https://api.doitong.ru/v1/run/moondream/batched`
- Quote: `POST https://api.doitong.ru/v1/quote/moondream/batched`
- Docs page: https://doitong.com/fr/developers/models/moondream/batched

## Pricing

Price: **$0.004 / run**. Estimated from the typical cost of one run. The quote is exactly what the run charges.

The full example input below costs $0.004 = 4 API credits (1 request × 4 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.ru/v1/quote/moondream/batched` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `inputs` |  | array of object {image_url, prompt} | yes |  |  | Liste contenant les prompts d’entrée et les URL des images. |
| `inputs[].image_url` |  | string (image URL) | yes |  |  | URL pointant vers l'image à traiter. |
| `inputs[].prompt` |  | string | no | `Describe this image.` |  | Prompt appliqué à l’image. |
| `max_tokens` |  | integer | no | `64` | 32 – 1,024 | Limite supérieure du nombre de nouveaux jetons générés. |
| `temperature` |  | number | no | `0.2` | ≤ 1, > 0 | Paramètre de température d’échantillonnage. |
| `top_p` |  | number | no | `1` | 0 – 1 | Paramètre top-P d’échantillonnage. |
| `repetition_penalty` |  | number | no | `1` | 1 – 2 | Pénalité appliquée aux répétitions lors de l’échantillonnage. |

## Example input

Required parameters only:

```json
{
  "inputs": [
    {
      "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    }
  ]
}
```

A fuller example:

```json
{
  "inputs": [
    {
      "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
    }
  ]
}
```

## 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/moondream/batched?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": [
      {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      }
    ]
  }'

# 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/moondream/batched?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "inputs": [
      {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      }
    ]
  }),
});
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 = {
    "inputs": [
        {
            "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
        },
    ],
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/moondream/batched", 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": "moondream/batched",
      "input": {
        "inputs": [
          {
            "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
          }
        ]
      },
      "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": "moondream/batched",
  "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": 4,
    "usd": "0.004",
    "charged": 4,
    "refunded": 0
  },
  "input": {
    "inputs": [
      {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      }
    ]
  },
  "output": {
    "outputs": [
      "string"
    ],
    "partial": false,
    "timings": {},
    "filenames": [
      "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `outputs` | array of string | Liste contenant les résultats générés. |
| `partial` | boolean | Indique si la sortie est incomplète. |
| `timings` | object | Mesures temporelles pour chaque étape de traitement. |
| `filenames` | array of string \| null | Noms des fichiers image traités. |

## Related models

- [Moondream 3 Preview \[Query\]](https://doitong.com/developers/models/moondream3-preview/query.md) (`moondream3-preview/query`): $0.001 / run
- [Moondream2](https://doitong.com/developers/models/moondream2.md) (`moondream2`): $0.01 / run
- [Moondream2 · Object Detection](https://doitong.com/developers/models/moondream2/object-detection.md) (`moondream2/object-detection`): $0.02 / image
- [Moondream2 · Point Object Detection](https://doitong.com/developers/models/moondream2/point-object-detection.md) (`moondream2/point-object-detection`): $0.02 / image
- [Moondream2 · Visual Query](https://doitong.com/developers/models/moondream2/visual-query.md) (`moondream2/visual-query`): $0.01 / 1000 characters
- [Moondream3 Preview \[Caption\]](https://doitong.com/developers/models/moondream3-preview/caption.md) (`moondream3-preview/caption`): $0.002 / run
- [Moondream3 Preview \[Detect\]](https://doitong.com/developers/models/moondream3-preview/detect.md) (`moondream3-preview/detect`): $0.001 / run
- [Moondream3 Preview \[Point\]](https://doitong.com/developers/models/moondream3-preview/point.md) (`moondream3-preview/point`): $0.001 / run

## Links

- HTML page: https://doitong.com/developers/models/moondream/batched
- 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=moondream/batched
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/moondream/batched