# OpenRouter API

> Pangkalahatang teksto LLM gateway kung saan pinipili ng field na `model` kung aling language modelo ang sasagot sa prompt

Nagpapadala ng `prompt` sa language modelo na pinili gamit ang kinakailangang `model` parameter. Kasama sa mga opsyonal na input ang `system_prompt`, `temperature` mula 0 hanggang 2, `max_tokens`, `reasoning` flag at web search sa pamamagitan ng `enable_web_search`. Naglalaman ang output ng nabuong teksto, opsyonal na reasoning at token paggamit.

- 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/fil/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 na ibinibigay para sa chat completion. |
| `system_prompt` |  | string \| null | no |  |  | System prompt na nagbibigay sa modelo ng mga tagubilin o context. |
| `model` |  | string | yes |  |  | Pangalan na tumutukoy sa modelong tatakbuhin. |
| `reasoning` |  | boolean | no | `false` |  | Kung isasama ang reasoning sa final na tugon. |
| `temperature` |  | number | no | `1` | 0 – 2 | Kontrol sa pagkakaiba-iba ng tugon, kung saan ginagarantiyahan ng 0 ang magkaparehong sagot kapag hindi nagbago ang input. Kapag tinaasan ang value, lumalayo ang mga tugon sa predictable at karaniwang sagot patungo sa mas maraming pagkakaiba-iba at mas hindi pangkaraniwang sagot. |
| `max_tokens` |  | integer \| null | no |  | ≥ 1 | Limitahan ang bilang ng nabuong token ng tugon sa value na hindi lalampas sa haba ng context bawas haba ng prompt. Hindi lalampas ang pagbuo sa tinukoy na limitasyon. |
| `enable_web_search` |  | boolean | no | `false` |  | Toggle para sa web access na nagpapahintulot sa modelo na pumili kung at kailan maghahanap, kabilang ang maraming paghahanap sa isang kahilingan. Ginagamit ng mga paghahanap ang server-side web search tool ng OpenRouter upang kumuha ng real-time na impormasyon. |
| `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 |  |  | Configuration ng web search, kabilang ang pagpili ng engine, limitasyon ng resulta, at pag-filter ng domain. Ginagamit lamang kapag true ang enable_web_search. |
| `web_search_options.engine` |  | enum (string) | no | `auto` | `auto`, `native`, `exa` | Pagpili ng search engine: parehong nagfa-fallback sa Exa ang 'auto' at 'native' kapag hindi available ang native search. Ginagamit ng 'auto' ang available na provider-native search; mas pinipili ng 'native' ang built-in search mula sa OpenAI, Anthropic, Google, xAI, o Perplexity. Para eksklusibong gamitin ang search API ng Exa, piliin ang 'exa'. |
| `web_search_options.max_results` |  | integer \| null | no |  | 1 – 25 | Limitasyon ng resulta sa bawat tawag sa Exa search, mula 1 hanggang 25, na may default na 5. Hindi pinapansin ng native provider search ang setting na ito. |
| `web_search_options.max_uses` |  | integer \| null | no |  | ≥ 1 | Limitasyon ng search sa bawat kahilingan, ipinapasa sa Anthropic para sa native search ngunit hindi pinapansin ng ibang native provider. Nagbabalik ng error result ang mga tawag na lampas sa limitasyon at hindi tumatakbo. |
| `web_search_options.max_total_results` |  | integer \| null | no |  | ≥ 1 | Pinagsamang limitasyon ng resulta para sa lahat ng paghahanap sa isang kahilingan. |
| `web_search_options.search_context_size` |  | enum (string) \| null | no |  | `low`, `medium`, `high` | Halaga ng retrieval sa bawat resulta para sa Exa, na napapalitan ng max_characters kapag parehong ibinigay at hindi pinapansin para sa native provider search. Piliin ang low para sa 5K character, medium para sa 15K, o high para sa 30K; kapag hindi tinukoy, inaangkop ng Exa ang halaga sa humigit-kumulang 2–4K bawat resulta. |
| `web_search_options.max_characters` |  | integer \| null | no |  | 1 – 100,000 | Limitasyon ng character ng content sa bawat resulta para sa Exa, na pumapalit sa search_context_size kapag parehong ibinigay. Magtakda ng eksaktong maximum mula 1 hanggang 100,000 character; hindi pinapansin ng native provider search ang setting na ito. |
| `web_search_options.allowed_domains` |  | array of string \| null | no |  |  | Allowlist ng domain para sa Exa at karamihan ng native search provider, na naglilimita sa mga resulta sa nakalistang domain. Hindi ito sinusuportahan ng Google native search. |
| `web_search_options.excluded_domains` |  | array of string \| null | no |  |  | Listahan ng ibinubukod na domain para sa Exa search at mga katugmang native provider; hindi mailalapat ng Google at OpenAI native search ang listahang ito. Hindi isinasama ang mga resultang nagmula sa nakalistang domain. |
| `web_search_options.user_location` |  | object {type, city, region, country, timezone} \| null | no |  |  | Tinatayang lokasyon ng user na nagbibigay ng geographic bias sa mga resulta ng native search; hindi ginagamit ng Exa ang impormasyong ito. |
| `web_search_options.user_location.type` |  | string | no | `approximate` |  | Classification ng lokasyon; ang tanging suportadong value ay 'approximate'. |
| `web_search_options.user_location.city` |  | string \| null | no |  |  | Pangalan ng lungsod, gaya ng 'San Francisco'. |
| `web_search_options.user_location.region` |  | string \| null | no |  |  | Pangalan ng estado o rehiyon, gaya ng 'California'. |
| `web_search_options.user_location.country` |  | string \| null | no |  |  | Identifier ng bansa na ipinapahayag gamit ang dalawang titik, gaya ng 'US'. |
| `web_search_options.user_location.timezone` |  | string \| null | no |  |  | Identifier ng timezone sa IANA notation, gaya ng '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 | Resultang ginawa ng modelo. |
| `reasoning` | string \| null | Reasoning na nabuo upang suportahan ang final na tugon. |
| `partial` | boolean | Ipinapahiwatig kung hindi kumpleto ang output. |
| `error` | string \| null | Mensahe na naglalarawan ng error, kung mayroon. |
| `usage` | object {prompt_tokens, completion_tokens, total_tokens, cost, prompt_tokens_details} \| null | Mga detalye ng pagkonsumo ng 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