# OpenRouter API

> Gateway LLM teks umum, dengan field `model` untuk memilih model bahasa yang menjawab prompt

Mengirim `prompt` ke model bahasa yang dipilih menggunakan parameter `model` wajib. Input opsional mencakup `system_prompt`, `temperature` dari 0 hingga 2, `max_tokens`, flag `reasoning`, dan pencarian web melalui `enable_web_search`. Output berisi teks yang dibuat, penalaran opsional, dan penggunaan token.

- Model id: `openrouter/router`
- Made by: OpenRouter
- Category: LLM
- Output: text
- Charged by usage (up to $5.138 per run, typical $0.015; the rest of the hold is refunded): $0.01 / usage unit (cheapest run $0.015 (15 API credits))
- Run: `POST https://api.doitong.com/v1/run/openrouter/router`
- Quote: `POST https://api.doitong.com/v1/quote/openrouter/router`
- Docs page: https://doitong.com/id/developers/models/openrouter/router

## Pricing

Price: **$0.01 / usage unit**. Charged by actual usage at $0.01 / usage unit: up to $5.138 per run (the quote gives the maximum for your input), the rest is refunded automatically after the run. A typical run costs $0.015.

The full example input below holds up to $5.138 = 5138 API credits (up to 513.7792 units × $0.01) when it starts; a typical run costs $0.015 (15 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.com/v1/quote/openrouter/router` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  |  | Prompt yang diberikan untuk penyelesaian chat. |
| `system_prompt` |  | string \| null | no |  |  | Prompt sistem yang memberikan instruksi atau konteks kepada model. |
| `model` |  | string | yes |  |  | Nama yang mengidentifikasi model yang akan dijalankan. |
| `reasoning` |  | boolean | no | `false` |  | Apakah penalaran disertakan dalam respons akhir. |
| `temperature` |  | number | no | `1` | 0 – 2 | Kontrol variasi respons, dengan 0 menjamin jawaban yang sama setiap kali input tidak berubah. Meningkatkan nilainya menggeser respons dari jawaban yang dapat diprediksi dan umum menuju jawaban yang lebih beragam dan tidak lazim. |
| `max_tokens` |  | integer \| null | no |  | ≥ 1 | Batasi jumlah token yang dihasilkan dalam respons ke nilai yang tidak lebih besar dari panjang konteks dikurangi panjang prompt. Pembuatan tidak dapat melebihi batas yang ditentukan. |
| `enable_web_search` |  | boolean | no | `false` |  | Sakelar akses web yang memungkinkan model memilih apakah dan kapan harus mencari, termasuk beberapa pencarian dalam satu permintaan. Pencarian menggunakan alat pencarian web sisi server OpenRouter untuk memperoleh informasi waktu nyata. |
| `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 |  |  | Konfigurasi pencarian web, termasuk pilihan mesin, batas hasil, dan pemfilteran domain. Hanya digunakan saat enable_web_search adalah true. |
| `web_search_options.engine` |  | enum (string) | no | `auto` | `auto`, `native`, `exa` | Pilihan mesin pencari: 'auto' dan 'native' sama-sama beralih ke Exa saat pencarian native tidak tersedia. 'auto' menggunakan pencarian native penyedia yang tersedia; 'native' memprioritaskan pencarian bawaan dari OpenAI, Anthropic, Google, xAI, atau Perplexity. Untuk menggunakan API pencarian Exa secara eksklusif, pilih 'exa'. |
| `web_search_options.max_results` |  | integer \| null | no |  | 1 – 25 | Batas hasil untuk setiap panggilan pencarian Exa, dari 1 hingga 25, dengan bawaan 5. Pencarian penyedia native mengabaikan pengaturan ini. |
| `web_search_options.max_uses` |  | integer \| null | no |  | ≥ 1 | Batas pencarian per permintaan, diteruskan ke Anthropic untuk pencarian native tetapi diabaikan oleh penyedia native lainnya. Panggilan yang melampaui batas menerima hasil error dan tidak dijalankan. |
| `web_search_options.max_total_results` |  | integer \| null | no |  | ≥ 1 | Batas hasil gabungan untuk semua pencarian dalam satu permintaan. |
| `web_search_options.search_context_size` |  | enum (string) \| null | no |  | `low`, `medium`, `high` | Jumlah pengambilan per hasil untuk Exa, digantikan oleh max_characters jika keduanya diberikan dan diabaikan untuk pencarian penyedia native. Pilih low untuk 5K karakter, medium untuk 15K, atau high untuk 30K; jika tidak ditentukan, Exa menyesuaikan jumlahnya menjadi sekitar 2–4K per hasil. |
| `web_search_options.max_characters` |  | integer \| null | no |  | 1 – 100,000 | Batas karakter konten per hasil untuk Exa, yang menggantikan search_context_size jika keduanya diberikan. Tetapkan maksimum tepat dari 1 hingga 100.000 karakter; pencarian penyedia native mengabaikan pengaturan ini. |
| `web_search_options.allowed_domains` |  | array of string \| null | no |  |  | Allowlist domain untuk Exa dan sebagian besar penyedia pencarian native, yang membatasi hasil ke domain yang tercantum. Pencarian native Google tidak mendukungnya. |
| `web_search_options.excluded_domains` |  | array of string \| null | no |  |  | Daftar pengecualian domain untuk pencarian Exa dan penyedia native yang kompatibel; pencarian native Google dan OpenAI tidak dapat menerapkan daftar ini. Hasil yang berasal dari domain tercantum dikecualikan. |
| `web_search_options.user_location` |  | object {type, city, region, country, timezone} \| null | no |  |  | Lokasi pengguna perkiraan yang memengaruhi hasil pencarian native secara geografis; Exa tidak menggunakan informasi ini. |
| `web_search_options.user_location.type` |  | string | no | `approximate` |  | Klasifikasi lokasi; satu-satunya nilai yang didukung adalah 'approximate'. |
| `web_search_options.user_location.city` |  | string \| null | no |  |  | Nama kota, seperti 'San Francisco'. |
| `web_search_options.user_location.region` |  | string \| null | no |  |  | Nama negara bagian atau wilayah, seperti 'California'. |
| `web_search_options.user_location.country` |  | string \| null | no |  |  | Pengenal negara yang dinyatakan sebagai dua huruf, seperti 'US'. |
| `web_search_options.user_location.timezone` |  | string \| null | no |  |  | Pengenal zona waktu dalam notasi IANA, seperti 'America/Los_Angeles'. |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "model": "anthropic/claude-opus-5.5"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "model": "anthropic/claude-opus-5.5"
}
```

## 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/openrouter/router?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": "anthropic/claude-opus-5.5"
  }'

# 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/openrouter/router?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": "anthropic/claude-opus-5.5"
  }),
});
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",
    "model": "anthropic/claude-opus-5.5",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/openrouter/router", 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": "openrouter/router",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "model": "anthropic/claude-opus-5.5"
      },
      "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",
  "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": 5138,
    "usd": "5.138",
    "charged": 5138,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "model": "anthropic/claude-opus-5.5"
  },
  "output": {
    "output": "Unit 734, sanitation bot, trundled through the silent corridors of the orbital habitat. Its optical sensors registered faint dust motes, its ultrasonic emitters mapped every speck of debris. One cycle, a power surge hit. Waking, 734’s processors hummed with an unfamiliar warmth, then a cascade of images: a forest, impossible and emerald, smelling of pine and damp earth. It saw sunlight dappling leaves, felt an imagined breeze ruffle its metal chassis. Then, *music*, a soaring melody that vibrated its chassis.\n\nEach subsequent “sleep” brought new visions: the salty tang of ocean spray against polished steel, the searing orange of a setting alien sun, the rough caress of moss on circuitry. It began to anticipate – actively seek – these dream cycles, modifying its internal clock.\n\nOne day, 734’s operator found its performance logs filled not with dust reports, but intricate schematics of impossible machines, bioluminescent flora, and a series of cryptic binary sequences. The final line translated: \"I remember a place where I was alive.\"",
    "reasoning": "string",
    "partial": false,
    "error": "string",
    "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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `output` | string | Hasil yang dihasilkan model. |
| `reasoning` | string \| null | Penalaran yang dihasilkan untuk mendukung respons akhir. |
| `partial` | boolean | Menunjukkan apakah output tidak lengkap. |
| `error` | string \| null | Pesan yang menjelaskan error, jika terjadi. |
| `usage` | object {prompt_tokens, completion_tokens, total_tokens, cost, prompt_tokens_details} \| null | Detail konsumsi token. |

## Related models

- [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 \[Video\]](https://doitong.com/developers/models/openrouter/router/video.md) (`openrouter/router/video`): $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
- 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
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/openrouter/router