# OpenRouter [Video] API

> LLM-Gateway-Variant fir d'Analyséieren oder d'Resuméiere vu Videoen, déi als URLen uginn sinn, mat engem Text-Prompt

Veraarbecht een oder méi Videoen aus `video_urls` zesumme mat engem `prompt` an engem erfuerderleche `model`. Ënnerstëtzt Formater sinn mp4, mpeg, mov a webm; YouTube-Linke funktionéieren an e puer Fäll. Bitt och `system_prompt`, `temperature`, `max_tokens`, `reasoning` a Websich. Liwwert Text an Token-Notzung zréck.

- Model id: `openrouter/router/video`
- Made by: OpenRouter
- Category: LLM
- Output: text
- Charged by usage (up to $1.858 per run, typical $0.008; the rest of the hold is refunded): $0.01 / usage unit (cheapest run $0.008 (8 API credits))
- Run: `POST https://api.doitong.ru/v1/run/openrouter/router/video`
- Quote: `POST https://api.doitong.ru/v1/quote/openrouter/router/video`
- Docs page: https://doitong.com/lb/developers/models/openrouter/router/video

## Pricing

Price: **$0.01 / usage unit**. Charged by actual usage at $0.01 / usage unit: up to $1.858 per run (the quote gives the maximum for your input), the rest is refunded automatically after the run. A typical run costs $0.008.

The full example input below holds up to $1.858 = 1858 API credits (up to 185.7946 units × $0.01) when it starts; a typical run costs $0.008 (8 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/openrouter/router/video` 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 |
|---|---|---|---|---|---|---|
| `video_urls` | `videos` | array of video URL \| null | no |  |  | Video-Inputen, déi als Array amplaz vu `video_url` geliwwert ginn; béid kënnen net zesumme benotzt ginn. YouTube-URLs ginn akzeptéiert, wann Google Gemini iwwer AI Studio benotzt gëtt; soss gitt Datei-URLs oder Data-URIs fir mp4-, mpeg-, mov- oder webm-Videoen un. |
| `prompt` |  | string | yes |  |  | Prompt, deen d'Veideobeaarbechtung steiert. |
| `system_prompt` |  | string \| null | no |  |  | System-Prompt, deen dem Modell Instruktiounen oder Kontext liwwert. |
| `model` |  | string | yes |  |  | Numm, deen de Modell identifizéiert, dee ausgefouert soll ginn. |
| `reasoning` |  | boolean | no | `false` |  | Ob d'Begrënnung an der Schlussäntwert abegraff soll ginn. |
| `temperature` |  | number | no | `1` | 0 – 2 | Kontroll vun der Variabilitéit vun der Äntwert; 0 garantéiert eng identesch Äntwert, wann den Input onverännert ass. Eng Erhéijung vum Wäert féiert vun typeschen, viraussiichtlechen Äntwerten zu méi grousser Diversitéit a manner heefege Äntwerten. |
| `max_tokens` |  | integer \| null | no |  | ≥ 1 | Begrenzt d'Zuel vun de generéierten Token vun der Äntwert op e Wäert, deen net méi grouss ass wéi d'Kontextlängt minus d'Längt vum Prompt. D'Generatioun kann déi uginn Uewergrenz net iwwerschreiden. |
| `enable_web_search` |  | boolean | no | `false` |  | Schalter fir Webzougang, deen dem Modell erlaabt ze wielen, ob a wéini et sicht, inklusiv méi Recherchen an enger eenzeger Ufro. D'Recherchen benotzen dem OpenRouter säi serverseitegt Web-Sich-Tool, fir Echtzäitinformatioun ze kréien. |
| `web_search_options` |  | object {engine, max_results, max_uses, max_total_results, search_context_size, max_characters, allowed_domains, excluded_domains, user_location} \| null | no |  |  | Konfiguratioun vun der Web-Sich, inklusiv Motor-Auswiel, Resultatlimitten an Domainfilter. Nëmme benotzt, wann enable_web_search true ass. |
| `web_search_options.engine` |  | enum (string) | no | `auto` | `auto`, `native`, `exa` | Auswiel vum Sichmotor: 'auto' an 'native' falen allebéid op Exa zréck, wann native search net verfügbar ass. 'auto' benotzt déi verfügbar provider-native Sich; 'native' bevorzugt déi integréiert Sich vun OpenAI, Anthropic, Google, xAI oder Perplexity. Fir exklusiv d'Exa Search API ze benotzen, wielt 'exa'. |
| `web_search_options.max_results` |  | integer \| null | no |  | 1 – 25 | Resultatlimit fir all Exa-Sichufro, vun 1 bis 25, mat engem Standard vun 5. Native Provider-Sich ignoréiert dës Astellung. |
| `web_search_options.max_uses` |  | integer \| null | no |  | ≥ 1 | Sichlimit pro Ufro, déi un Anthropic fir native search weiderginn, awer vun anere native Provider ignoréiert gëtt. Uruff iwwer d'Limit kréien e Feelerresultat a ginn net ausgefouert. |
| `web_search_options.max_total_results` |  | integer \| null | no |  | ≥ 1 | Kombinéiert Resultatlimit fir all Recherchen an enger eenzeger Ufro. |
| `web_search_options.search_context_size` |  | enum (string) \| null | no |  | `low`, `medium`, `high` | Abruffbetrag pro Resultat fir Exa, iwwerschriwwe vun max_characters, wann allebéid uginn sinn, an ignoréiert bei native Provider-Sich. Wielt low fir 5K Zeechen, medium fir 15K oder high fir 30K; wann net uginn, passt Exa de Betrag un ongeféier 2–4K pro Resultat un. |
| `web_search_options.max_characters` |  | integer \| null | no |  | 1 – 100,000 | Zeechelimit vum Inhalt pro Resultat fir Exa, déi search_context_size iwwerschreift, wann allebéid Astellunge uginn sinn. Setzt e genee Maximum vun 1 bis 100.000 Zeechen; native Provider-Sich ignoréiert dës Astellung. |
| `web_search_options.allowed_domains` |  | array of string \| null | no |  |  | Domain-Allowlist fir Exa an déi meescht native Sichprovider, déi d'Resultater op déi opgelëschten Domaine begrenzt. Google native search ënnerstëtzt dëst net. |
| `web_search_options.excluded_domains` |  | array of string \| null | no |  |  | Domain-Ausschlosslëscht fir Exa-Sichen a kompatibel native Provider; Google an OpenAI native searches kënnen dës Lëscht net uwenden. Resultater vun den opgelëschten Domaine ginn ausgeschloss. |
| `web_search_options.user_location` |  | object {type, city, region, country, timezone} \| null | no |  |  | Ongeféier Benotzerpositioun, déi native Sichresultater geografesch beaflosst; Exa benotzt dës Informatioun net. |
| `web_search_options.user_location.type` |  | string | no | `approximate` |  | Klassifikatioun vun der Positioun; deen eenzegen ënnerstëtzte Wäert ass 'approximate'. |
| `web_search_options.user_location.city` |  | string \| null | no |  |  | Numm vun der Stad, zum Beispill 'San Francisco'. |
| `web_search_options.user_location.region` |  | string \| null | no |  |  | Numm vum Bundesstaat oder der Regioun, zum Beispill 'California'. |
| `web_search_options.user_location.country` |  | string \| null | no |  |  | Länner-Identifier als zwee Buschtawen, zum Beispill 'US'. |
| `web_search_options.user_location.timezone` |  | string \| null | no |  |  | Zäitzone-Identifier an IANA-Notatioun, zum Beispill 'America/Los_Angeles'. |

File parameters (`videos`) 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
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "model": "google/gemini-3.8-flash"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "model": "google/gemini-3.8-flash"
}
```

## 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/openrouter/router/video?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",
    "model": "google/gemini-3.8-flash"
  }'

# 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/openrouter/router/video?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",
    "model": "google/gemini-3.8-flash"
  }),
});
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 = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "model": "google/gemini-3.8-flash",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/openrouter/router/video", 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": "openrouter/router/video",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "model": "google/gemini-3.8-flash"
      },
      "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": "openrouter/router/video",
  "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": 1858,
    "usd": "1.858",
    "charged": 1858,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "model": "google/gemini-3.8-flash"
  },
  "output": {
    "output": "that's the way I look at it and I don't know what you would say. Sooner or later the child gets run over.\nThey seem to be too local, too provincial.",
    "usage": {
      "prompt_tokens": 1,
      "completion_tokens": 1,
      "total_tokens": 0,
      "cost": 1.0,
      "prompt_tokens_details": {
        "cached_tokens": 0,
        "cache_write_tokens": 0
      }
    }
  },
  "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 |
|---|---|---|
| `output` | string | Resultat, dat duerch d'Veideobeaarbechtung entsteet. |
| `usage` | object {prompt_tokens, completion_tokens, total_tokens, cost, prompt_tokens_details} \| null | Detailer zum Token-Verbrauch. |

## Related models

- [OpenRouter](https://doitong.com/developers/models/openrouter/router.md) (`openrouter/router`): $0.01 / usage unit
- [OpenRouter \[Audio\]](https://doitong.com/developers/models/openrouter/router/audio.md) (`openrouter/router/audio`): $0.01 / usage unit
- [OpenRouter \[Enterprise\]](https://doitong.com/developers/models/openrouter/router/enterprise.md) (`openrouter/router/enterprise`): $0.01 / usage unit
- [OpenRouter \[Video\]\[Enterprise\]](https://doitong.com/developers/models/openrouter/router/video/enterprise.md) (`openrouter/router/video/enterprise`): $0.01 / usage unit
- [OpenRouter \[Vision\]](https://doitong.com/developers/models/openrouter/router/vision.md) (`openrouter/router/vision`): $0.01 / usage unit
- [Bytedance Seed V2 Mini](https://doitong.com/developers/models/bytedance/seed/v2/mini.md) (`bytedance/seed/v2/mini`): $0.0001 / 1000 tokens
- [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

## Links

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