Source: https://ailoot.ai/models/id/qwen3-8-max/
Canonical: https://ailoot.ai/models/id/qwen3-8-max/
Language: id

# qwen3.8-max

[Markdown](https://ailoot.ai/models/id/qwen3-8-max/index.md) · [JSON](https://ailoot.ai/models/id/qwen3-8-max/facts.json)

## [qwen3.8-max](https://ailoot.ai/models/id/qwen3-8-max/)

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

- [**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen3.8-max`](https://ailoot.ai/models/id/qwen3-8-max/#method-0)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen3.8-max`](https://ailoot.ai/models/id/qwen3-8-max/#method-1)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen3.8-max`](https://ailoot.ai/models/id/qwen3-8-max/#method-2)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `qwen3.8-max`](https://ailoot.ai/models/id/qwen3-8-max/#method-3)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `qwen3.8-max`](https://ailoot.ai/models/id/qwen3-8-max/#method-4)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen`](https://ailoot.ai/models/id/qwen3-8-max/#method-5)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen`](https://ailoot.ai/models/id/qwen3-8-max/#method-6)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen`](https://ailoot.ai/models/id/qwen3-8-max/#method-7)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen-latest`](https://ailoot.ai/models/id/qwen3-8-max/#method-8)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen-latest`](https://ailoot.ai/models/id/qwen3-8-max/#method-9)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen-latest`](https://ailoot.ai/models/id/qwen3-8-max/#method-10)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen-max`](https://ailoot.ai/models/id/qwen3-8-max/#method-11)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen-max`](https://ailoot.ai/models/id/qwen3-8-max/#method-12)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen-max`](https://ailoot.ai/models/id/qwen3-8-max/#method-13)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen3.8-max-preview`](https://ailoot.ai/models/id/qwen3-8-max/#method-14)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen3.8-max-preview`](https://ailoot.ai/models/id/qwen3-8-max/#method-15)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen3.8-max-preview`](https://ailoot.ai/models/id/qwen3-8-max/#method-16)

Tentang model

Deskripsi ini mencakup kemampuan model. Masukan, keluaran, dan opsi yang tersedia di Ailoot tercantum di bawah untuk metode yang dipilih.

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Panduan pengembang menyebutkannya untuk pekerjaan penalaran yang menuntut serta penafsiran gambar dan video. Tabel model visualnya mencantumkan konteks 1 juta token, panggilan fungsi, alat bawaan, dan keluaran terstruktur.

#### Analisis pertanyaan dan materi sumbernya

Berikan bukti, kondisi, dan hasil yang harus dibuat oleh tugas. Untuk pekerjaan dokumen, pertahankan label bagian dan tentukan referensi yang diutamakan jika bagian teks tidak sejalan. Untuk pertanyaan visual, berikan gambar yang terbaca, area yang perlu diperiksa, dan informasi yang penting bagi jawaban. Minta respons memisahkan pengamatan sumber dari penafsiran.

#### Gunakan rangkaian rekaman untuk pertanyaan yang jelas

Pilih bagian rekaman yang relevan dengan tugas dan pertahankan urutannya. Minta deskripsi kejadian yang terlihat serta bukti yang mendukung setiap temuan. Jika penjelasan lisan diperlukan, tambahkan transkripsinya sebagai teks. Hasil yang diinginkan dapat berupa catatan kronologis, perbandingan analitis, atau penjelasan berdasarkan frame yang diberikan.

#### Berikan peran yang jelas kepada aplikasi yang menaungi model

Panggilan fungsi memungkinkan integrasi menentukan tindakan dan argumennya, menjalankan panggilan yang dipilih model, dan mengembalikan hasil aktual. Pengembang juga mencantumkan alat bawaan untuk model ini. Ketersediaannya bergantung pada antarmuka yang digunakan untuk permintaan. Untuk keluaran terstruktur, tentukan nama bidang dan penanganan nilai yang tidak tersedia, lalu periksa format sekaligus makna jawaban.

#### Rencanakan dalam batas yang didokumentasikan

Tabel model visual mencantumkan gambar hingga 16 juta piksel, video hingga dua jam dan 2 GB, serta batas jumlah file 2,048 gambar dan 64 video. Batas alur kerja pengembang ini tetap tunduk pada konteks bersama 1 juta token. Batas tersebut menjelaskan persiapan masukan, sedangkan antarmuka yang dipilih menentukan batas permintaan sebenarnya. Simpan label sumber bersama jawaban yang diminta agar hasil dapat diperiksa terhadap buktinya.

Tugas praktis

### Tugas praktis

Contoh teknis dalam bahasa Inggris

```
Resolve a document-priority conflict

Use these requirements and source priority. Manual M: operators may restart the pump after a ten-minute wait. Safety bulletin S: after a leak alarm, only maintenance may authorise restart; S overrides M. Case: a leak alarm occurred 15 minutes ago. Write a short decision note with source references and state the evidence still needed before restart.
```

#### Hasil yang diharapkan

```
A source-linked decision note applying the bulletin and naming maintenance authorisation as an unresolved condition.
```

#### Periksa hasil

```
Elapsed waiting time alone does not override the leak-alarm rule.
```

**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen3.8-max`

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages)

Alibaba /`qwen3.8-max`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · Anthropic Messages** `POST /v1/messages`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen3.8-max | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content atau blok type=text`

**Teks + gambar**

`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00017 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · Anthropic Messages

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
import anthropic
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
    model="qwen3.8-max",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(msg.to_dict(mode="json"))
```

```js
import Anthropic from "@anthropic-ai/sdk";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
  model: "qwen3.8-max",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(msg);
```

```python
import anthropic,os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.messages.stream(model='qwen3.8-max',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_message()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · Anthropic Messages

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen3.8-max`

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses)

Alibaba /`qwen3.8-max`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Responses** `POST /v1/responses`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen3.8-max | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`Teks masukan atau bagian input_text`

**Teks + gambar**

`{type:input_image,image_url}`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00025 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

code\_interpreter\_call

US$0,00 *per pemanggilan*

image\_search\_call

US$0,008 *per pemanggilan*

web\_extractor\_call

US$0,00 *per pemanggilan*

web\_search\_call

US$0,01 *per pemanggilan*

web\_search\_image\_call

US$0,008 *per pemanggilan*

Jumlah pemanggilan maksimum code\_interpreter\_call

8

Jumlah pemanggilan maksimum image\_search\_call

8

Jumlah pemanggilan maksimum web\_extractor\_call

8

Jumlah pemanggilan maksimum web\_search\_call

8

Jumlah pemanggilan maksimum web\_search\_image\_call

8

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · OpenAI Responses

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="qwen3.8-max", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_dict(mode="json"))
```

```js
import OpenAI from "openai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "qwen3.8-max", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="qwen3.8-max", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_response()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · OpenAI Responses

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen3.8-max`

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat)

Alibaba /`qwen3.8-max`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Chat** `POST /v1/chat/completions`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen3.8-max | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content`

**Teks + gambar**

`{type:image_url,image_url:{url,detail}}`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00025 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · OpenAI Chat

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
    model="qwen3.8-max",
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_dict(mode="json"))
```

```js
import OpenAI from "openai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
  model: "qwen3.8-max",
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from openai import OpenAI
import os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.chat.completions.stream(model='qwen3.8-max',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_completion()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · OpenAI Chat

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `qwen3.8-max`

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat)

Alibaba /`qwen3.8-max`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions`

Masukan

`text`

Keluaran

`text`

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen3.8-max | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan function Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`modalities` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan text | Bawaan— |
| Kolom`provider` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Kondisi: provider.options ditolak pada rute teks Ultra ini | Bawaan— |
| Kolom`cache_control.ttl` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kondisi: 1h ditolak pada lokasi cache prompt yang digunakan | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`material_types` | Kontraktext |
| Parameter`messages` | Kontrakarray pesan dengan struktur role/content |
| Parameter`file_material` | Kontrakdokumen UTF-8 yang sebenarnya dimasukkan sebagai teks apa adanya; ID file tidak disimpulkan |
| Parameter`optional_controls` | Kontrakstream, temperature, top\_p, stop, max\_tokens, max\_completion\_tokens, reasoning, response\_format, tools, tool\_choice |
| Parameter`control_scope` | Kontrakkhusus model; alat fungsi pengguna berbeda dari alat yang dihosting |
| Parameter`output_modalities` | Kontraktext |
| Parameter`hosted_operations` | Kontrakfalse |
| Parameter`multimodal_input_binding` | Kontraknull |

Siklus hidup: `synchronous_or_streamed`

Kirim ID model yang tepat bersama messages.

Panjang konteks bukan batas keluaran.

File teks dapat menyediakan teks apa adanya; masukan gambar/audio/objek file memerlukan pengikatan yang tepat.

### Paket

Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.

Mode Fast

Tidak ditentukan Saat mode fast dipilih

Mode Flex

Tidak ditentukan Saat mode flex dipilih

Upaya penalaran maksimum

Tidak ditentukan Saat upaya penalaran maksimum menggunakan penyesuaian default

#### Tarif Ailoot

#### Harga menurut konfigurasi

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiTarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

### Contoh permintaan

#### Ailoot Ultra · OpenAI Chat

curlPython SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max", "messages": [{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}]}')

Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
r=json.loads(Path("result.json").read_text())
for x in r.get("choices",[]):
    if x.get("message",{}).get("content"): print(x["message"]["content"])
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model='qwen3.8-max',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}])
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(result.to_dict(mode="json"))
```

```python
from openai import OpenAI
import os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.chat.completions.stream(model='qwen3.8-max',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_completion()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot Ultra · OpenAI Chat

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `qwen3.8-max`

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages)

Alibaba /`qwen3.8-max`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks

Hasil

json · sse

### Tersedia di Ailoot · masukan & metode

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages`

Masukan

`text`

Keluaran

`json`, `sse`

Format keluaran

JSON atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen3.8-max | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |

Kombinasi bahan masukan

**Teks** · Teks UTF-8

`string messages[].content`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontrakstream |
| Parameter`material_types` | Kontraktext |
| Parameter`text_file_material` | KontrakBaca dokumen UTF-8 yang sebenarnya dan masukkan teksnya ke string masukan atau konten pesan yang ditunjukkan. |

Siklus hidup: `synchronous_or_streamed`

### Paket

Referensi tarif tidak menambah opsi permintaan. Parameter yang didukung tercantum pada metode yang dipilih.

Mode Fast

Tidak ditentukan Saat mode fast dipilih

Mode Flex

Tidak ditentukan Saat mode flex dipilih

Upaya penalaran maksimum

Tidak ditentukan Saat upaya penalaran maksimum menggunakan penyesuaian default

#### Tarif Ailoot

#### Harga menurut konfigurasi

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiTarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

### Contoh permintaan

#### Ailoot Ultra · Anthropic Messages

Isi permintaan JSON minimal yang lengkapcurl · gunakan dokumen UTF-8 AndaPython · simpan hasil secara lengkap

```json
{
  "model": "qwen3.8-max",
  "max_tokens": 128,
  "messages": [
    {
      "role": "user",
      "content": "Summarize the incident report."
    }
  ],
  "stream": false
}
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 document}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json, os
from pathlib import Path

source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
    raise SystemExit('Choose a document containing text')
payload = {'model': 'qwen3.8-max', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
Path('request.json').write_text(json.dumps(payload, ensure_ascii=False), encoding='utf-8')
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path

result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
PY_RESULT
```

```python
import json, os
from pathlib import Path

source_file = Path(os.environ['AILOOT_TEXT_FILE'])
if not source_file.is_file():
    raise SystemExit('Set AILOOT_TEXT_FILE to your actual UTF-8 document')
text = source_file.read_text(encoding='utf-8')
if not text.strip():
    raise SystemExit('Choose a document containing text')
payload = {'model': 'qwen3.8-max', 'max_tokens': 128, 'messages': [{'role': 'user', 'content': 'Summarize the incident report.'}]}
payload['messages'][0]['content'] = 'Summarize this material and quote supporting source passages.\n\n' + text
from urllib.request import Request, urlopen
from urllib.error import HTTPError

api_key = os.environ['AILOOT_API_KEY']
if not api_key.strip():
    raise SystemExit('Set AILOOT_API_KEY before making a request')
headers = {'x-api-key': 'PLACEHOLDER_KEY', 'anthropic-version': '2023-06-01', 'Content-Type': 'application/json'}
headers['x-api-key'] = api_key
request = Request('https://api.ailoot.ai/v1/messages', data=json.dumps(payload, ensure_ascii=False).encode('utf-8'), headers=headers, method='POST')
try:
    with urlopen(request, timeout=120) as response:
        raw = response.read()
        Path('response-headers.txt').write_text(str(response.headers), encoding='utf-8')
except HTTPError as error:
    Path('result.json').write_bytes(error.read())
    Path('response-headers.txt').write_text(str(error.headers), encoding='utf-8')
    raise
Path('result.json').write_bytes(raw)
import json
from pathlib import Path

result = json.loads(Path('result.json').read_text(encoding='utf-8'))
print(json.dumps(result, ensure_ascii=False, indent=2))
```

### Terima dan simpan hasil

#### Ailoot Ultra · Anthropic Messages

JSON atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)

**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen`

[`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages)

Alibaba /`qwen`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · Anthropic Messages** `POST /v1/messages`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content atau blok type=text`

**Teks + gambar**

`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00017 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · Anthropic Messages

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
import anthropic
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
    model="qwen",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(msg.to_dict(mode="json"))
```

```js
import Anthropic from "@anthropic-ai/sdk";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
  model: "qwen",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(msg);
```

```python
import anthropic,os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.messages.stream(model='qwen',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_message()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · Anthropic Messages

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen`

[`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses)

Alibaba /`qwen`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Responses** `POST /v1/responses`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`Teks masukan atau bagian input_text`

**Teks + gambar**

`{type:input_image,image_url}`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00025 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

code\_interpreter\_call

US$0,00 *per pemanggilan*

image\_search\_call

US$0,008 *per pemanggilan*

web\_extractor\_call

US$0,00 *per pemanggilan*

web\_search\_call

US$0,01 *per pemanggilan*

web\_search\_image\_call

US$0,008 *per pemanggilan*

Jumlah pemanggilan maksimum code\_interpreter\_call

8

Jumlah pemanggilan maksimum image\_search\_call

8

Jumlah pemanggilan maksimum web\_extractor\_call

8

Jumlah pemanggilan maksimum web\_search\_call

8

Jumlah pemanggilan maksimum web\_search\_image\_call

8

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · OpenAI Responses

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="qwen", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_dict(mode="json"))
```

```js
import OpenAI from "openai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "qwen", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="qwen", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_response()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · OpenAI Responses

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen`

[`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat)

Alibaba /`qwen`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Chat** `POST /v1/chat/completions`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content`

**Teks + gambar**

`{type:image_url,image_url:{url,detail}}`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00025 */ 1K*

Penulisan cache

US$0,002 */ 1K*

Penulisan cache, 5 menit

US$0,002 */ 1K tokens*

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · OpenAI Chat

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
    model="qwen",
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_dict(mode="json"))
```

```js
import OpenAI from "openai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
  model: "qwen",
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from openai import OpenAI
import os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.chat.completions.stream(model='qwen',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_completion()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · OpenAI Chat

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)

**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen-latest`

[`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages)

Alibaba /`qwen-latest`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · Anthropic Messages** `POST /v1/messages`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen-latest | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content atau blok type=text`

**Teks + gambar**

`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00017 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · Anthropic Messages

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-latest", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-latest", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
import anthropic
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
    model="qwen-latest",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(msg.to_dict(mode="json"))
```

```js
import Anthropic from "@anthropic-ai/sdk";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
  model: "qwen-latest",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(msg);
```

```python
import anthropic,os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.messages.stream(model='qwen-latest',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_message()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · Anthropic Messages

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen-latest`

[`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses)

Alibaba /`qwen-latest`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Responses** `POST /v1/responses`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen-latest | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`Teks masukan atau bagian input_text`

**Teks + gambar**

`{type:input_image,image_url}`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00025 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

code\_interpreter\_call

US$0,00 *per pemanggilan*

image\_search\_call

US$0,008 *per pemanggilan*

web\_extractor\_call

US$0,00 *per pemanggilan*

web\_search\_call

US$0,01 *per pemanggilan*

web\_search\_image\_call

US$0,008 *per pemanggilan*

Jumlah pemanggilan maksimum code\_interpreter\_call

8

Jumlah pemanggilan maksimum image\_search\_call

8

Jumlah pemanggilan maksimum web\_extractor\_call

8

Jumlah pemanggilan maksimum web\_search\_call

8

Jumlah pemanggilan maksimum web\_search\_image\_call

8

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · OpenAI Responses

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-latest", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-latest", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="qwen-latest", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_dict(mode="json"))
```

```js
import OpenAI from "openai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "qwen-latest", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="qwen-latest", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_response()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · OpenAI Responses

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen-latest`

[`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat)

Alibaba /`qwen-latest`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Chat** `POST /v1/chat/completions`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen-latest | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content`

**Teks + gambar**

`{type:image_url,image_url:{url,detail}}`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00025 */ 1K*

Penulisan cache

US$0,002 */ 1K*

Penulisan cache, 5 menit

US$0,002 */ 1K tokens*

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · OpenAI Chat

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-latest", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-latest", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
    model="qwen-latest",
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_dict(mode="json"))
```

```js
import OpenAI from "openai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
  model: "qwen-latest",
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from openai import OpenAI
import os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.chat.completions.stream(model='qwen-latest',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_completion()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · OpenAI Chat

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)

**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen-max`

[`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages)

Alibaba /`qwen-max`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · Anthropic Messages** `POST /v1/messages`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen-max | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content atau blok type=text`

**Teks + gambar**

`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00017 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · Anthropic Messages

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-max", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-max", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
import anthropic
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
    model="qwen-max",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(msg.to_dict(mode="json"))
```

```js
import Anthropic from "@anthropic-ai/sdk";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
  model: "qwen-max",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(msg);
```

```python
import anthropic,os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.messages.stream(model='qwen-max',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_message()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · Anthropic Messages

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen-max`

[`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses)

Alibaba /`qwen-max`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Responses** `POST /v1/responses`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen-max | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`Teks masukan atau bagian input_text`

**Teks + gambar**

`{type:input_image,image_url}`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00025 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

code\_interpreter\_call

US$0,00 *per pemanggilan*

image\_search\_call

US$0,008 *per pemanggilan*

web\_extractor\_call

US$0,00 *per pemanggilan*

web\_search\_call

US$0,01 *per pemanggilan*

web\_search\_image\_call

US$0,008 *per pemanggilan*

Jumlah pemanggilan maksimum code\_interpreter\_call

8

Jumlah pemanggilan maksimum image\_search\_call

8

Jumlah pemanggilan maksimum web\_extractor\_call

8

Jumlah pemanggilan maksimum web\_search\_call

8

Jumlah pemanggilan maksimum web\_search\_image\_call

8

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · OpenAI Responses

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-max", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-max", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="qwen-max", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_dict(mode="json"))
```

```js
import OpenAI from "openai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "qwen-max", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="qwen-max", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_response()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · OpenAI Responses

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen-max`

[`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat)

Alibaba /`qwen-max`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Chat** `POST /v1/chat/completions`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen-max | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content`

**Teks + gambar**

`{type:image_url,image_url:{url,detail}}`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00025 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · OpenAI Chat

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-max", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen-max", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
    model="qwen-max",
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_dict(mode="json"))
```

```js
import OpenAI from "openai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
  model: "qwen-max",
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from openai import OpenAI
import os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.chat.completions.stream(model='qwen-max',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_completion()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · OpenAI Chat

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)

**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen3.8-max-preview`

[`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)

Alibaba /`qwen3.8-max-preview`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · Anthropic Messages** `POST /v1/messages`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen3.8-max-preview | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan user, assistant | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_block[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`system` | Jenis`string\|content_block[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanWajib | Nilai & batasan Minimum: 1 Batas berlaku untuk: batas maksimum yang tepat untuk model/kartu yang dipilih | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop_sequences` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: alat disediakan | Bawaan— |
| Kolom`tools[].description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].input_schema` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`thinking.budget_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`output_config.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`metadata` | Jenis`object` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`cache_control` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content atau blok type=text`

**Teks + gambar**

`{type:image,source:{type:base64,media_type,data}} atau sumber dengan type=url`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages, max\_tokens |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00017 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · Anthropic Messages

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max-preview", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max-preview", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
import anthropic
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
    model="qwen3.8-max-preview",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(msg.to_dict(mode="json"))
```

```js
import Anthropic from "@anthropic-ai/sdk";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new Anthropic({ baseURL: "https://api.ailoot.ai", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const msg = await client.messages.create({
  model: "qwen3.8-max-preview",
  max_tokens: 1024,
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(msg);
```

```python
import anthropic,os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=anthropic.Anthropic(base_url="https://api.ailoot.ai",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.messages.stream(model='qwen3.8-max-preview',max_tokens=1024,messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_message()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · Anthropic Messages

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan semua blok konten, tanda tangan penalaran, dan ID penggunaan alat yang sebenarnya. Gabungkan semua delta blok SSE; blok teks pertama bukan keseluruhan keluaran.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`model` | Jenisstring |
| Kolom`content[]` | Jenistext\|thinking\|tool\_use\|other content block |
| Kolom`stop_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=messages), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=messages), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=messages), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=messages), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=messages), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen3.8-max-preview`

[`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)

Alibaba /`qwen3.8-max-preview`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Responses** `POST /v1/responses`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen3.8-max-preview | Bawaan— |
| Kolom`input` | Jenis`string\|input_item[]` | PersyaratanWajib | Nilai & batasan | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan message, reasoning, function\_call, function\_call\_output | Bawaan— |
| Kolom`input[].content` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`input[].call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output; pertahankan call\_id yang benar-benar dikembalikan | Bawaan— |
| Kolom`input[].output` | Jenis`string\|content_part[]` | PersyaratanOpsional | Nilai & batasan Berlaku jika: function\_call\_output | Bawaan— |
| Kolom`max_output_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning.summary` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`text.verbosity` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`include` | Jenis`string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`store` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`previous_response_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Persyaratan ID: Hanya ID respons yang benar-benar diperoleh dari kelanjutan yang didukung Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_key` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`Teks masukan atau bagian input_text`

**Teks + gambar**

`{type:input_image,image_url}`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, input |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00025 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

code\_interpreter\_call

US$0,00 *per pemanggilan*

image\_search\_call

US$0,008 *per pemanggilan*

web\_extractor\_call

US$0,00 *per pemanggilan*

web\_search\_call

US$0,01 *per pemanggilan*

web\_search\_image\_call

US$0,008 *per pemanggilan*

Jumlah pemanggilan maksimum code\_interpreter\_call

8

Jumlah pemanggilan maksimum image\_search\_call

8

Jumlah pemanggilan maksimum web\_extractor\_call

8

Jumlah pemanggilan maksimum web\_search\_call

8

Jumlah pemanggilan maksimum web\_search\_image\_call

8

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · OpenAI Responses

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max-preview", "input": ""}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["input"]="Summarize this material and quote supporting source passages.\n\n"+text
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max-preview", "input": [{"role": "user", "content": [{"type": "input_text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["input"][0]["content"].append({"type":"input_image","image_url":"data:"+mime+";base64,"+b64})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/responses \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(json.loads(Path("result.json").read_text(encoding="utf-8")))
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.responses.create(model="qwen3.8-max-preview", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_dict(mode="json"))
```

```js
import OpenAI from "openai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.responses.create({ model: "qwen3.8-max-preview", input: "Explain the difference between an observation and a hypothesis in three sentences." });
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from openai import OpenAI
import os
from pathlib import Path
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
with client.responses.stream(model="qwen3.8-max-preview", input="Explain the difference between an observation and a hypothesis in three sentences.") as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_response()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · OpenAI Responses

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap item keluaran dan bagian konten, call\_id fungsi yang sebenarnya, penalaran terenkripsi, dan data penggunaan. Saat streaming, pertahankan identitas peristiwa/item secara lengkap.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`id` | Jenisstring |
| Kolom`status` | Jenisstring |
| Kolom`output[]` | Jenismessage\|reasoning\|function\_call\|other item |
| Kolom`output[].content[]` | Jeniscontent part |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=responses), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=responses), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=responses), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=responses), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=responses)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen3.8-max-preview`

[`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)

Alibaba /`qwen3.8-max-preview`

ID model

- `qwen3.8-max`
- `qwen`
- `qwen-latest`
- `qwen-max`
- `qwen3.8-max-preview`

### Mulai

Qwen3.8-Max adalah model Qwen untuk penalaran teks dan pemahaman visual. Pengembangnya menjelaskan konteks 1 juta token, masukan gambar dan video, alur kerja berbantuan alat, serta hasil teks terstruktur.

Masukan yang diterima

Teks · Gambar

Hasil

Teks

### Tersedia di Ailoot · masukan & metode

**Ailoot · OpenAI Chat** `POST /v1/chat/completions`

Masukan

`text`, `image`

Keluaran

`text`

Konteks

991.808 tokens

Keluaran maksimum

131.072 tokens

Format keluaran

json atau SSE

| Kolom | Jenis | Persyaratan | Nilai & batasan | Bawaan |
| --- | --- | --- | --- | --- |
| Kolom`model` | Jenis`string` | PersyaratanWajib | Nilai & batasan qwen3.8-max-preview | Bawaan— |
| Kolom`messages` | Jenis`message[]` | PersyaratanWajib | Nilai & batasan Item minimum: 1 | Bawaan— |
| Kolom`messages[].role` | Jenis`string` | PersyaratanWajib | Nilai & batasan Contoh: system, user, assistant, tool, function Kondisi: Peran ini direpresentasikan secara eksplisit oleh tipe kompatibilitas dalam kode sumber; kumpulan peran model yang tepat tetap khusus untuk tiap model. Bergantung pada model | Bawaan— |
| Kolom`messages[].content` | Jenis`string\|content_part[]\|null` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_calls` | Jenis`tool_call[]` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].tool_call_id` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: role=tool; gunakan ID yang benar-benar dikembalikan | Bawaan— |
| Kolom`messages[].name` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`messages[].reasoning_content` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Berlaku jika: Kirim kembali penalaran yang benar-benar dikembalikan jika model ini menggunakannya | Bawaan— |
| Kolom`messages[].reasoning_details` | Jenis`object\|array` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`max_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`max_completion_tokens` | Jenis`integer` | PersyaratanOpsional | Nilai & batasan Minimum: 1 Bergantung pada model | Bawaan— |
| Kolom`stream` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan | Bawaanfalse |
| Kolom`stream_options.include_usage` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`temperature` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`top_p` | Jenis`number` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`stop` | Jenis`string\|string[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools` | Jenis`function_tool[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].type` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`tools[].function.name` | Jenis`string` | PersyaratanWajib | Nilai & batasan Berlaku jika: alat fungsi disediakan | Bawaan— |
| Kolom`tools[].function.description` | Jenis`string` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tools[].function.parameters` | Jenis`JSON_schema` | PersyaratanOpsional | Nilai & batasan | Bawaan— |
| Kolom`tool_choice` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`parallel_tool_calls` | Jenis`boolean` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`response_format` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning_effort` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`reasoning` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`service_tier` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`instructions` | Jenis`string` | PersyaratanOpsional | Nilai & batasan Kolom kompatibilitas | Bawaan— |
| Kolom`functions` | Jenis`function[]` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`function_call` | Jenis`string\|object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |
| Kolom`prompt_cache_options` | Jenis`object` | PersyaratanOpsional | Nilai & batasan Bergantung pada model | Bawaan— |

Kombinasi bahan masukan

**Teks** · Teks UTF8

`messages[].content`

**Teks + gambar**

`{type:image_url,image_url:{url,detail}}`

Parameter metode dan siklus hidup

| Parameter | Kontrak |
| --- | --- |
| Parameter`material_types` | Kontraktext, image |
| Parameter`required` | Kontrakmodel, messages |
| Parameter`optional_controls` | Kontraknull |
| Parameter`content_type` | Kontrakapplication/json |
| Parameter`text_file_material` | Kontrakkonten UTF-8 aktual dimasukkan sebagai teks; ID file atau alamat URL (URLs) memerlukan dukungan yang tepat dan terpisah |

Siklus hidup: `exact retained published method`

Struktur metode dan ID bersifat eksak; kemampuan pemasok terpisah dari penerimaan permintaan.

### Paket

#### Tarif metode Ailoot

Masukan

US$0,002 */ 1K*

Keluaran

US$0,006 */ 1K*

Pembacaan cache

US$0,00025 */ 1K*

Penulisan cache

US$0,0025 */ 1K*

Penulisan cache, 5 menit

US$0,0025 */ 1K tokens*

Ailoot mencadangkan perkiraan dana sebelum permintaan. Setelah hasil diterima, tagihan akhir diselesaikan berdasarkan penggunaan yang terukur. Penyelesaian tagihan streaming menggunakan catatan penggunaan akhir. [Cara kerja cadangan dan penyelesaian tagihan →](https://ailoot.ai/docs/id/billing/reserve/)

#### Detail tarif referensi

Jadwal referensi tingkat model tidak mengubah pemilihan metode, estimasi harga, atau biaya. Biaya aktif menggunakan tarif metode Ailoot yang dipilih.

Jadwal referensi model

#### Harga menurut konfigurasi

Cocokkan setiap biaya dengan kondisi yang ditampilkan. Gunakan satu tarif untuk setiap kelompok konfigurasi alternatif.

| Konfigurasi | Jadwal tarif | Biaya |
| --- | --- | --- |
| KonfigurasiOpenAI Chat · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |
| KonfigurasiAnthropic Messages · Tarif dasar token | Jadwal tarifTarif dasar | Biaya Masukan · Token masukan **$0.00432** / 1K token Keluaran · Token keluaran **$0.01272** / 1K token Masukan · Pembacaan cache **$0.000336** / 1K token Masukan · Penulisan cache **$0.00516** / 1K token Masukan · Penulisan cache, 1 jam **—** / 1K token |

### Contoh permintaan

#### Ailoot · OpenAI Chat

Contoh teksMasukan, gambarPython SDKNode.js SDKAliran Python

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_TEXT_FILE:?Set your actual UTF-8 source-material file}"
export AILOOT_TEXT_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max-preview", "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "qwen3.8-max-preview", "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image_url","image_url":{"url":"data:"+mime+";base64,"+b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/chat/completions \
  -H "Authorization: Bearer $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = OpenAI(base_url="https://api.ailoot.ai/v1", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
resp = client.chat.completions.create(
    model="qwen3.8-max-preview",
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

save_result(resp.to_dict(mode="json"))
```

```js
import OpenAI from "openai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const client = new OpenAI({ baseURL: "https://api.ailoot.ai/v1", apiKey: process.env.AILOOT_API_KEY, maxRetries: 0 });
const resp = await client.chat.completions.create({
  model: "qwen3.8-max-preview",
  messages: [{ role: "user", content: "Explain the difference between an observation and a hypothesis in three sentences." }],
});
import { writeFileSync } from "node:fs";

function saveResult(data, stem = "result") {
  writeFileSync(stem + ".json", JSON.stringify(data, null, 2));
  console.log(JSON.stringify(data, null, 2));
  const saveBlob = (encoded, suffix, label) => {
    const raw = Buffer.from(encoded, "base64");
    const ext = raw.subarray(0,8).equals(Buffer.from([137,80,78,71,13,10,26,10])) ? "png" : raw[0]===255 && raw[1]===216 ? "jpg" : raw.subarray(0,4).toString()==="RIFF" && raw.subarray(8,12).toString()==="WEBP" ? "webp" : suffix;
    const file = `${stem}-${label}.${ext}`;
    writeFileSync(file, raw); console.log("Saved", file);
  };
  for (const [i, block] of (data.content || []).entries()) console.log("Content", i, JSON.stringify(block));
  for (const choice of data.choices || []) console.log("Choice", choice.index, JSON.stringify(choice.message || choice.delta || {}));
  for (const [i, item] of (data.output || []).entries()) {
    console.log("Output", i, JSON.stringify(item));
    if (item.type === "image_generation_call" && item.result) saveBlob(item.result, item.output_format || "bin", `output-${i}`);
  }
  for (const [ci, candidate] of (data.candidates || []).entries()) {
    for (const [pi, part] of (candidate.content?.parts || []).entries()) {
      console.log("Candidate/part", ci, pi, JSON.stringify(part));
      const blob = part.inlineData || part.inline_data;
      if (blob?.data) {
        const mime = blob.mimeType || blob.mime_type;
        const suffix = ({"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"})[mime] || "bin";
        saveBlob(blob.data, suffix, `candidate-${ci}-part-${pi}`);
      }
    }
  }
}

saveResult(resp);
```

```python
from openai import OpenAI
import os
from pathlib import Path

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
import base64, json
from pathlib import Path

def save_result(data, stem="result"):
    # Keep every field, including usage, IDs, reasoning and tool requests.
    Path(stem + ".json").write_text(json.dumps(data, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps(data, ensure_ascii=False, indent=2))
    def save_blob(encoded, suffix, label):
        raw = base64.b64decode(encoded, altchars=b"-_", validate=True)
        ext = "png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "jpg" if raw.startswith(b"\xff\xd8") else "webp" if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP" else suffix
        file = Path(stem + "-" + label + "." + ext)
        file.write_bytes(raw)
        print("Saved", file)
    for index, block in enumerate(data.get("content") or []):
        print("Content", index, json.dumps(block, ensure_ascii=False))
    for choice in data.get("choices") or []:
        print("Choice", choice.get("index"), json.dumps(choice.get("message", choice.get("delta", {})), ensure_ascii=False))
    for index, item in enumerate(data.get("output") or []):
        print("Output", index, json.dumps(item, ensure_ascii=False))
        if item.get("type") == "image_generation_call" and item.get("result"):
            save_blob(item["result"], item.get("output_format") or "bin", "output-" + str(index))
    for ci, candidate in enumerate(data.get("candidates") or []):
        for pi, part in enumerate((candidate.get("content") or {}).get("parts") or []):
            print("Candidate/part", ci, pi, json.dumps(part, ensure_ascii=False))
            blob = part.get("inlineData") or part.get("inline_data")
            if blob and blob.get("data"):
                mime = blob.get("mimeType") or blob.get("mime_type")
                suffix = {"image/png":"png", "image/jpeg":"jpg", "image/webp":"webp", "audio/wav":"wav", "audio/mpeg":"mp3", "video/mp4":"mp4"}.get(mime, "bin")
                save_blob(blob["data"], suffix, "candidate-" + str(ci) + "-part-" + str(pi))

with client.chat.completions.stream(model='qwen3.8-max-preview',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_completion()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Terima dan simpan hasil

#### Ailoot · OpenAI Chat

json atau SSE

##### Simpan semua hasil yang selesai

Simpan setiap respons lengkap, berkas, dan bagian konten yang dikembalikan.

Simpan setiap alternatif jawaban beserta konten, panggilan alat, dan penalarannya. Dalam SSE, gabungkan delta menurut indeks alternatif jawaban/alat, lalu pertahankan alasan penghentian akhir dan data penggunaan.

##### Jika respons asli perlu diperiksa

Simpan ID permintaan/respons dan header. URL umum untuk pengambilan tugas teks tidak disediakan.

Kolom respons

| Kolom | Jenis |
| --- | --- |
| Kolom`choices[].index` | Jenisinteger |
| Kolom`choices[].message.content` | Jenisstring\|null |
| Kolom`choices[].message.tool_calls` | Jenistool\_call\[\] |
| Kolom`choices[].message.reasoning_content` | Jenisstring |
| Kolom`choices[].message.reasoning_details` | Jenisobject\|array |
| Kolom`choices[].finish_reason` | Jenisstring\|null |
| Kolom`usage` | Jenisobject |

Kesalahan dan langkah berikutnya

| Respons | Kondisi | Langkah berikutnya |
| --- | --- | --- |
| Respons400 · `invalid_request_error` | KondisiBidang wajib, representasi materi, atau nilai parameter tidak valid | Langkah berikutnyaPerbaiki bidang yang ditunjukkan sebelum permintaan pembuatan baru. |

### Alias

#### Alias model

<strong>Ailoot</strong> [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)
**Ailoot Ultra** [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat)

#### Alias jalur metode

Gunakan jalur metode yang ditampilkan di atas.

#### ID pemanggil terkait

[`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max&fmt=chat), [`qwen3.8-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Ultra&caller=qwen3.8-max&fmt=chat), [`qwen`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen&fmt=chat), [`qwen-latest`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-latest&fmt=chat), [`qwen-max`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen-max&fmt=chat), [`qwen3.8-max-preview`](https://ailoot.ai/models/id/#m=qwen3.8-max&route=Core&caller=qwen3.8-max-preview&fmt=chat)

FAQ · qwen3.8-max

Input dan hasil apa yang tersedia?

`POST /v1/messages` · `qwen3.8-max`: `text`, `image` → `text` `POST /v1/responses` · `qwen3.8-max`: `text`, `image` → `text` `POST /v1/chat/completions` · `qwen3.8-max`: `text`, `image` → `text` `POST /v1/chat/completions` · `qwen3.8-max`: `text` → `text` `POST /v1/messages` · `qwen3.8-max`: `text` → `json`, `sse` `POST /v1/messages` · `qwen`: `text`, `image` → `text` `POST /v1/responses` · `qwen`: `text`, `image` → `text` `POST /v1/chat/completions` · `qwen`: `text`, `image` → `text` `POST /v1/messages` · `qwen-latest`: `text`, `image` → `text` `POST /v1/responses` · `qwen-latest`: `text`, `image` → `text` `POST /v1/chat/completions` · `qwen-latest`: `text`, `image` → `text` `POST /v1/messages` · `qwen-max`: `text`, `image` → `text` `POST /v1/responses` · `qwen-max`: `text`, `image` → `text` `POST /v1/chat/completions` · `qwen-max`: `text`, `image` → `text` `POST /v1/messages` · `qwen3.8-max-preview`: `text`, `image` → `text` `POST /v1/responses` · `qwen3.8-max-preview`: `text`, `image` → `text` `POST /v1/chat/completions` · `qwen3.8-max-preview`: `text`, `image` → `text`

Kolom apa yang digunakan permintaan?

`POST /v1/messages` · `qwen3.8-max`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `qwen3.8-max`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `qwen3.8-max`: `model`, `messages`, `stream` `POST /v1/chat/completions` · `qwen3.8-max`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `qwen3.8-max`: `model`, `messages`, `max_tokens`, `stream` `POST /v1/messages` · `qwen`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `qwen`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `qwen`: `model`, `messages`, `stream` `POST /v1/messages` · `qwen-latest`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `qwen-latest`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `qwen-latest`: `model`, `messages`, `stream` `POST /v1/messages` · `qwen-max`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `qwen-max`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `qwen-max`: `model`, `messages`, `stream` `POST /v1/messages` · `qwen3.8-max-preview`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `qwen3.8-max-preview`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `qwen3.8-max-preview`: `model`, `messages`, `stream`

Batasan apa yang berlaku?

`POST /v1/messages` · `qwen3.8-max`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `qwen3.8-max`: `ctx`: `991808`; `max_out`: `131072` `POST /v1/chat/completions` · `qwen3.8-max`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/chat/completions` · `qwen3.8-max`: `messages.min_items`: `1` `POST /v1/messages` · `qwen`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `qwen`: `ctx`: `991808`; `max_out`: `131072` `POST /v1/chat/completions` · `qwen`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/messages` · `qwen-latest`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `qwen-latest`: `ctx`: `991808`; `max_out`: `131072` `POST /v1/chat/completions` · `qwen-latest`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/messages` · `qwen-max`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `qwen-max`: `ctx`: `991808`; `max_out`: `131072` `POST /v1/chat/completions` · `qwen-max`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/messages` · `qwen3.8-max-preview`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `qwen3.8-max-preview`: `ctx`: `991808`; `max_out`: `131072` `POST /v1/chat/completions` · `qwen3.8-max-preview`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1`

Hubungkan Ailoot ke Claude Code, OpenCode, Hermes, atau aplikasi Anda.

## Perusahaan dan portofolio proyeknya

Perusahaan dan portofolio proyeknya: jutaan pelanggan; penjualan miliaran setiap bulan.

## Beli token dengan diskon.

Diskon langganan untuk pekerjaan rutin. Kode promo — hingga 50% untuk pembelian token.

Langganan

Pilih paket dengan diskon untuk permintaan rutin Anda.

Kode promo hingga 50%

Masukkan kode saat membeli. Harga dihitung ulang sesuai promosi aktif.

Biaya dalam riwayat

Model, token, dan jumlah tagihan disimpan untuk setiap permintaan.

[Pilih langganan](https://ailoot.ai/docs/id/billing/subscriptions/) · [Lihat harga model](https://ailoot.ai/models/id/)

## Hubungkan API ke produk yang Anda jual.

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Aplikasi komersial

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Lisensi reseller

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[Minta lisensi reseller](mailto:support@ailoot.ai) · [Penawaran dan perjanjian lisensi](https://ailoot.ai/legal/offer?lang=id)

## Ailoot · Perusahaan dan portofolio proyeknya





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Perusahaan dan portofolio proyeknya: jutaan pelanggan; penjualan miliaran setiap bulan.





Ailoot memanfaatkan pengalaman operasional ini untuk akses API ke fitur AI dalam produk pelanggan, agen, aplikasi, dan otomatisasi.