Source: https://ailoot.ai/models/uz/qwen3-7-max/
Canonical: https://ailoot.ai/models/uz/qwen3-7-max/
Language: uz

# Qwen: Qwen3.7 Max

[Markdown](https://ailoot.ai/models/uz/qwen3-7-max/index.md) · [JSON](https://ailoot.ai/models/uz/qwen3-7-max/facts.json)

## [Qwen: Qwen3.7 Max](https://ailoot.ai/models/uz/qwen3-7-max/)

Qwen3.7 Max — Alibaba’ning kodlash, ofis ishlari va uzoq davom etadigan agent vazifalari uchun yetakchi matn modeli. U bir million tokenli kontekst, funksiyalarni chaqirish, JSON-schema asosidagi tuzilgan chiqishlar va takroriy kontekst uchun hujjatlashtirilgan prompt keshlashni taqdim etadi.

- [**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen3.7-max`](https://ailoot.ai/models/uz/qwen3-7-max/#method-0)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen3.7-max`](https://ailoot.ai/models/uz/qwen3-7-max/#method-1)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen3.7-max`](https://ailoot.ai/models/uz/qwen3-7-max/#method-2)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `qwen3.7-max`](https://ailoot.ai/models/uz/qwen3-7-max/#method-3)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `qwen3.7-max`](https://ailoot.ai/models/uz/qwen3-7-max/#method-4)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `auto`](https://ailoot.ai/models/uz/qwen3-7-max/#method-5)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `auto`](https://ailoot.ai/models/uz/qwen3-7-max/#method-6)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `qwen/qwen3.7-max`](https://ailoot.ai/models/uz/qwen3-7-max/#method-7)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `qwen/qwen3.7-max`](https://ailoot.ai/models/uz/qwen3-7-max/#method-8)

Model haqida

Bu tavsif model imkoniyatlarini yoritadi. Ailoot da tanlangan usul uchun mavjud kirish, chiqish va parametrlar quyida keltirilgan.

Qwen3.7 Max — Alibaba’ning Qwen3.7 turkumidagi yetakchi matn modeli. Uning e’lon qilingan roli agent ish jarayonlari, dasturlash, ofis va unumdorlik vazifalari hamda bir nechta bosqich davom etadigan ishlarni qamrab oladi. Matnli kirishdan matnli chiqish hosil bo‘ladi. Tavsifda 1,000,000 tokenli kontekst oynasi va 131,072 tagacha javob tokeni ko‘rsatilgan.

#### Dasturlash va ofis ish mahsullari

Dasturlash topshirig‘i yaratilishi kerak bo‘lgan xatti-harakatni, tegishli manbani va hozirgi muammoni tasdiqlaydigan kuzatuvlarni ko‘rsatishi kerak. Aniq yo‘naltirilgan o‘zgartirish va uni baholash uchun zarur tekshiruvlarni so‘rang. Ofis vazifasida hisobot, taqqoslash yoki rejalashtirish qaydi uchun materialni berish hamda auditoriya, zarur topilmalar va chiqish tuzilishini belgilash mumkin.

Haqiqiy ma’lumotlar, hujjat yorliqlari va taxminlarni vazifa bilan birga saqlang. Hisobotda manbadan olingan topilmalarni talqindan ajrating. Elektron jadvalga oid savolda tegishli qiymatlar va formulalarni bering hamda modeldan tashqarida bajarilgan har qanday aniq hisob-kitob natijasini saqlang.

#### Vositalar va tuzilmali natijalar

Hujjatlashtirilgan xosting shartlari funksiya chaqiruvlari va JSON-schema asosidagi tuzilmali chiqishlarni qo‘llaydi. Ilovada mavjud amallarni va natijaga kerak bo‘ladigan maydonlarni belgilang. Vosita chaqiruvi mo‘ljallangan amalni tavsiflaydi; uni ilova bajaradi va haqiqiy kuzatuvni beradi. Shu kuzatuv modelning keyingi qarori bilan bog‘liq holda saqlanishi kerak.

Tuzilmali ish mahsuli uchun turlar, birliklar va yetishmayotgan ma’lumotga qanday munosabatda bo‘lishni belgilang. Qaytgan yozuvni ham sxemasi, ham manbalari bo‘yicha tekshiring. Uzunroq javob uchun aniq xulosa va uni tushuntiradigan dalillarni so‘rang.

#### Takrorlanuvchi kontekst va davom etadigan ish

Tavsifda takrorlanuvchi kontekst uchun prompt keshini qo‘llash hujjatlashtirilgan. Tegishli so‘rovlarda qayta ishlatiladigan ko‘rsatmalar va barqaror manba materialini bir xil saqlang, joriy vazifa va yangi kuzatuvlarni esa oson aniqlanadigan joyga qo‘ying. Keshning amalda qayta ishlatilishi xizmat ko‘rsatish so‘rovi va uning foydalanish ma’lumotlariga xos holat bo‘lib, faqat matn o‘xshashligidan chiqariladigan xulosa emas.

Uzun kontekstdan tegishli qarorlar va manbalar o‘rtasidagi bog‘lanishlarni saqlash uchun foydalaning, javobga joy qoldiring. Tugallangan vazifada ish mahsuli, uni qo‘llab-quvvatlaydigan kuzatuvlar va qolgan savollar saqlanishi kerak, shunda keyingi navbat tasdiqlangan holatdan davom etadi.

Amaliy vazifa

### Amaliy vazifa

Ingliz tilidagi texnik misol

```
Review a forecast formula

Review this spreadsheet plan in text. Opening stock is 120 units; receipts are 50; forecast sales are 90. Closing stock formula is =opening_stock+receipts+forecast_sales. Correct the formula, show the arithmetic for the supplied row and give a check for a row where forecast sales exceed available stock. Return a short analyst note.
```

#### Kutiladigan natija

```
A corrected formula, a worked row calculation and a validation rule for a negative projected closing balance.
```

#### Natijani tekshirish

```
Check that sales reduce stock and the negative-balance case is flagged rather than silently replaced with zero.
```

**Ailoot · Anthropic Messages** `POST /v1/messages` `qwen3.7-max`

[`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=messages)

Alibaba /`qwen3.7-max`

### Boshlash

Qwen3.7 Max — Alibaba’ning kodlash, ofis ishlari va uzoq davom etadigan agent vazifalari uchun yetakchi matn modeli. U bir million tokenli kontekst, funksiyalarni chaqirish, JSON-schema asosidagi tuzilgan chiqishlar va takroriy kontekst uchun hujjatlashtirilgan prompt keshlashni taqdim etadi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

Matn

### Ailoot da mavjud · kirish ma’lumotlari va usullar

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

Kirish

`text`

Chiqish

`text`

Kontekst

991 808 tokens

Eng katta chiqish

131 072 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar qwen3.7-max | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar Elementlarning eng kam soni: 1 | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar user, assistant | Standart— |
| Maydon`messages[].content` | Tur`string\|content_block[]` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`system` | Tur`string\|content_block[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabMajburiy | Qiymatlar va cheklovlar Eng kam: 1 Cheklov qo‘llanadigan obyekt: Tanlangan model yoki kartaning aniq yuqori chegarasi | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |
| Maydon`temperature` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`top_p` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`stop_sequences` | Tur`string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools` | Tur`tool[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools[].name` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Vosita taqdim etilgan | Standart— |
| Maydon`tools[].description` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tools[].input_schema` | Tur`JSON_schema` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tool_choice` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`thinking.type` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`thinking.budget_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`output_config.effort` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`metadata` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`cache_control` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`messages[].content yoki type=text bloki`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`required` | Parametr talablarimodel, messages, max\_tokens |
| Parametr`optional_controls` | Parametr talablarinull |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`text_file_material` | Parametr talablariHaqiqiy UTF-8 kontenti matn sifatida kiritiladi; fayl IDlari/URLs uchun alohida aniq qo‘llab-quvvatlash kerak |

Hayot sikli: `exact retained published method`

Metod tuzilishlari va IDlari aniq; yetkazib beruvchining imkoniyati so‘rovni qabul qilishga ruxsatdan alohida.

### Tariflar

#### Ailoot usullari tariflari

Kirish

0,0025 US$ */ 1K*

Chiqish

0,0075 US$ */ 1K*

Keshdan o‘qish

0,00025 US$ */ 1K*

Keshga yozish

≈0,00313 US$ */ 1K*

Keshga yozish, 5 daqiqa

≈0,00313 US$ */ 1K tokens*

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

#### Ma’lumot uchun tarif tafsilotlari

Modelning ma’lumot jadvallari usul tanlash, narx hisobi yoki to‘lovlarni o‘zgartirmaydi. Amaldagi to‘lovlar tanlangan Ailoot usuli tariflari bo‘yicha hisoblanadi.

Modelning ma’lumot jadvallari

#### Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaOpenAI Chat · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaOpenAI Chat · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

### So‘rov namunalari

#### Ailoot · Anthropic Messages

Matn namunasiPython SDKNode.js SDKPython oqimi

```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": "qwen3.7-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
```

```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="qwen3.7-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: "qwen3.7-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='qwen3.7-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")
```

### Natijalarni olish va saqlash

#### Ailoot · Anthropic Messages

json yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Barcha kontent bloklari, fikrlash imzolari va haqiqiy vosita ishlatish IDlarini saqlang. SSE bloklarining barcha o‘zgarish qismlarini yig‘ing; birinchi matn bloki to‘liq chiqish emas.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`id` | Turstring |
| Maydon`model` | Turstring |
| Maydon`content[]` | Turtext\|thinking\|tool\_use\|other content block |
| Maydon`stop_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

<strong>Ailoot</strong> [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=messages), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto)
**Ailoot Ultra** [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=messages), [`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=messages)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=messages), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=messages), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `qwen3.7-max`

[`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=responses)

Alibaba /`qwen3.7-max`

Model ID

- `qwen3.7-max`
- `auto`

### Boshlash

Qwen3.7 Max — Alibaba’ning kodlash, ofis ishlari va uzoq davom etadigan agent vazifalari uchun yetakchi matn modeli. U bir million tokenli kontekst, funksiyalarni chaqirish, JSON-schema asosidagi tuzilgan chiqishlar va takroriy kontekst uchun hujjatlashtirilgan prompt keshlashni taqdim etadi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

Matn

### Ailoot da mavjud · kirish ma’lumotlari va usullar

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

Kirish

`text`

Chiqish

`text`

Kontekst

991 808 tokens

Eng katta chiqish

131 072 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar qwen3.7-max | Standart— |
| Maydon`input` | Tur`string\|input_item[]` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`instructions` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`input[].type` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar message, reasoning, function\_call, function\_call\_output | Standart— |
| Maydon`input[].content` | Tur`string\|content_part[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`input[].call_id` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: function\_call\_output; haqiqatan qaytarilgan call\_id qiymatini saqlang | Standart— |
| Maydon`input[].output` | Tur`string\|content_part[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: function\_call\_output | Standart— |
| Maydon`max_output_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |
| Maydon`temperature` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`top_p` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools` | Tur`tool[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tool_choice` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`parallel_tool_calls` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning.effort` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning.summary` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`text.format` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`text.verbosity` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`include` | Tur`string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`store` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`previous_response_id` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar ID talabi: Faqat qo‘llab-quvvatlanadigan davom ettirishdan olingan haqiqiy javob IDsi Modelga bogʻliq | Standart— |
| Maydon`service_tier` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`prompt_cache_key` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`prompt_cache_options` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`Kirish matni yoki input_text qismi`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`required` | Parametr talablarimodel, input |
| Parametr`optional_controls` | Parametr talablarinull |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`text_file_material` | Parametr talablariHaqiqiy UTF-8 kontenti matn sifatida kiritiladi; fayl IDlari/URLs uchun alohida aniq qo‘llab-quvvatlash kerak |

Hayot sikli: `exact retained published method`

Metod tuzilishlari va IDlari aniq; yetkazib beruvchining imkoniyati so‘rovni qabul qilishga ruxsatdan alohida.

### Tariflar

#### Ailoot usullari tariflari

Kirish

0,0025 US$ */ 1K*

Chiqish

0,0075 US$ */ 1K*

Keshdan o‘qish

0,0005 US$ */ 1K*

Keshga yozish

≈0,00313 US$ */ 1K*

Keshga yozish, 5 daqiqa

≈0,00313 US$ */ 1K tokens*

code\_interpreter\_call

0,00 US$ *har chaqiruv uchun*

web\_extractor\_call

0,00 US$ *har chaqiruv uchun*

web\_search\_call

0,01 US$ *har chaqiruv uchun*

Maks. chaqiruvlar code\_interpreter\_call

8

Maks. chaqiruvlar web\_extractor\_call

8

Maks. chaqiruvlar web\_search\_call

8

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

#### Ma’lumot uchun tarif tafsilotlari

Modelning ma’lumot jadvallari usul tanlash, narx hisobi yoki to‘lovlarni o‘zgartirmaydi. Amaldagi to‘lovlar tanlangan Ailoot usuli tariflari bo‘yicha hisoblanadi.

Modelning ma’lumot jadvallari

#### Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaOpenAI Chat · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaOpenAI Chat · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

### So‘rov namunalari

#### Ailoot · OpenAI Responses

Matn namunasiPython SDKNode.js SDKPython oqimi

```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": "qwen3.7-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
```

```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="qwen3.7-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: "qwen3.7-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="qwen3.7-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")
```

### Natijalarni olish va saqlash

#### Ailoot · OpenAI Responses

json yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Har bir chiqish elementi va kontent qismini, funksiyaning haqiqiy call\_id qiymatini, shifrlangan fikrlash ma’lumotlari va sarfni saqlang. Oqimli uzatishda hodisa va elementning to‘liq identifikatsiyasini saqlang.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`id` | Turstring |
| Maydon`status` | Turstring |
| Maydon`output[]` | Turmessage\|reasoning\|function\_call\|other item |
| Maydon`output[].content[]` | Turcontent part |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

<strong>Ailoot</strong> [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=responses), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=responses)
**Ailoot Ultra** [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max), [`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=responses), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=responses), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `qwen3.7-max`

[`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=chat)

Alibaba /`qwen3.7-max`

Model ID

- `qwen3.7-max`
- `auto`

### Boshlash

Qwen3.7 Max — Alibaba’ning kodlash, ofis ishlari va uzoq davom etadigan agent vazifalari uchun yetakchi matn modeli. U bir million tokenli kontekst, funksiyalarni chaqirish, JSON-schema asosidagi tuzilgan chiqishlar va takroriy kontekst uchun hujjatlashtirilgan prompt keshlashni taqdim etadi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

Matn

### Ailoot da mavjud · kirish ma’lumotlari va usullar

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

Kirish

`text`

Chiqish

`text`

Kontekst

991 808 tokens

Eng katta chiqish

131 072 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar qwen3.7-max | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar Elementlarning eng kam soni: 1 | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Namunalar: system, user, assistant, tool, function Shartlar: Bu rollar manba kodining moslik turlarida ochiq ifodalangan; aniq rollar to‘plami har bir modelga xos bo‘lib qoladi. Modelga bogʻliq | Standart— |
| Maydon`messages[].content` | Tur`string\|content_part[]\|null` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_calls` | Tur`tool_call[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_call_id` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: role=tool; haqiqatan qaytarilgan IDdan foydalaning | Standart— |
| Maydon`messages[].name` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].reasoning_content` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Ushbu model foydalanganda, haqiqatan qaytarilgan fikrlash ma’lumotlarini keyingi so‘rovda qayta yuboring | Standart— |
| Maydon`messages[].reasoning_details` | Tur`object\|array` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`max_completion_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |
| Maydon`stream_options.include_usage` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`temperature` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`top_p` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`stop` | Tur`string\|string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools` | Tur`function_tool[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools[].type` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools[].function.name` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Funksiya vositasi taqdim etilgan | Standart— |
| Maydon`tools[].function.description` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tools[].function.parameters` | Tur`JSON_schema` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tool_choice` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`parallel_tool_calls` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`response_format` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning_effort` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`service_tier` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`instructions` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Moslik maydoni | Standart— |
| Maydon`functions` | Tur`function[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`function_call` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`prompt_cache_options` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`messages[].content`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`required` | Parametr talablarimodel, messages |
| Parametr`optional_controls` | Parametr talablarinull |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`text_file_material` | Parametr talablariHaqiqiy UTF-8 kontenti matn sifatida kiritiladi; fayl IDlari/URLs uchun alohida aniq qo‘llab-quvvatlash kerak |

Hayot sikli: `exact retained published method`

Metod tuzilishlari va IDlari aniq; yetkazib beruvchining imkoniyati so‘rovni qabul qilishga ruxsatdan alohida.

### Tariflar

#### Ailoot usullari tariflari

Kirish

0,0025 US$ */ 1K*

Chiqish

0,0075 US$ */ 1K*

Keshdan o‘qish

0,0005 US$ */ 1K*

Keshga yozish

≈0,00313 US$ */ 1K*

Keshga yozish, 5 daqiqa

≈0,00313 US$ */ 1K tokens*

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

#### Ma’lumot uchun tarif tafsilotlari

Modelning ma’lumot jadvallari usul tanlash, narx hisobi yoki to‘lovlarni o‘zgartirmaydi. Amaldagi to‘lovlar tanlangan Ailoot usuli tariflari bo‘yicha hisoblanadi.

Modelning ma’lumot jadvallari

#### Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaOpenAI Chat · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaOpenAI Chat · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

### So‘rov namunalari

#### Ailoot · OpenAI Chat

Matn namunasiPython SDKNode.js SDKPython oqimi

```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": "qwen3.7-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
```

```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="qwen3.7-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: "qwen3.7-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='qwen3.7-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")
```

### Natijalarni olish va saqlash

#### Ailoot · OpenAI Chat

json yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`choices[].index` | Turinteger |
| Maydon`choices[].message.content` | Turstring\|null |
| Maydon`choices[].message.tool_calls` | Turtool\_call\[\] |
| Maydon`choices[].message.reasoning_content` | Turstring |
| Maydon`choices[].message.reasoning_details` | Turobject\|array |
| Maydon`choices[].finish_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

<strong>Ailoot</strong> [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=chat), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=chat)
**Ailoot Ultra** [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=chat), [`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=chat)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=chat), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=chat), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=chat), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=chat)

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `qwen3.7-max`

[`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=chat)

Alibaba /`qwen3.7-max`

Model ID

- `qwen3.7-max`
- `qwen/qwen3.7-max`

### Boshlash

Qwen3.7 Max — Alibaba’ning kodlash, ofis ishlari va uzoq davom etadigan agent vazifalari uchun yetakchi matn modeli. U bir million tokenli kontekst, funksiyalarni chaqirish, JSON-schema asosidagi tuzilgan chiqishlar va takroriy kontekst uchun hujjatlashtirilgan prompt keshlashni taqdim etadi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

Matn

### Ailoot da mavjud · kirish ma’lumotlari va usullar

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

Kirish

`text`

Chiqish

`text`

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar qwen3.7-max | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar Elementlarning eng kam soni: 1 | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`messages[].content` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Matnli suhbat | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`messages[].content`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`required` | Parametr talablarimodel, messages |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`messages` | Parametr talablarirole/content tuzilishidagi xabarlar massivi |
| Parametr`file_material` | Parametr talablariHaqiqiy UTF-8 hujjati aynan matn sifatida kiritiladi; fayl IDsi faraz qilinmaydi |
| Parametr`optional_controls` | Parametr talablaristream |
| Parametr`control_scope` | Parametr talablariMatnli suhbat; stream mantiqiy qiymat bo‘lib, standart holatda false. |
| Parametr`output_modalities` | Parametr talablaritext |
| Parametr`hosted_operations` | Parametr talablarifalse |
| Parametr`multimodal_input_binding` | Parametr talablarinull |

Usul taxalluslari: `/chat/completions`

Hayot sikli: `synchronous_or_streamed`

Aniq model IDsini messages bilan yuboring.

Kontekst uzunligi chiqishning yuqori chegarasi emas.

Matn fayli aynan matnni taqdim etishi mumkin; tasvir, audio va fayl obyekti kirishlari aniq bog‘lashni talab qiladi.

### Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim

Standart tarif Tezkor rejim tanlanganda

Flex rejimi

Standart tarif flex rejimi tanlanganda

Maksimal fikrlash darajasi

Standart tarif Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

### So‘rov namunalari

#### Ailoot Ultra · OpenAI Chat

curlPython SDK

```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":"qwen3.7-max","messages":[{"role":"user","content":"hello"}],"stream":false}')

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="qwen3.7-max", messages=[{"role":"user","content":"hello"}], stream=False)
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"))
```

### Natijalarni olish va saqlash

#### Ailoot Ultra · OpenAI Chat

json yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`choices[].index` | Turinteger |
| Maydon`choices[].message.content` | Turstring\|null |
| Maydon`choices[].message.tool_calls` | Turtool\_call\[\] |
| Maydon`choices[].message.reasoning_content` | Turstring |
| Maydon`choices[].message.reasoning_details` | Turobject\|array |
| Maydon`choices[].finish_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

<strong>Ailoot</strong> [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=chat), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=chat)
**Ailoot Ultra** [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=chat), [`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=chat)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=chat), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=chat), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=chat), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `qwen3.7-max`

[`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=messages)

Alibaba /`qwen3.7-max`

Model ID

- `qwen3.7-max`
- `qwen/qwen3.7-max`

### Boshlash

Qwen3.7 Max — Alibaba’ning kodlash, ofis ishlari va uzoq davom etadigan agent vazifalari uchun yetakchi matn modeli. U bir million tokenli kontekst, funksiyalarni chaqirish, JSON-schema asosidagi tuzilgan chiqishlar va takroriy kontekst uchun hujjatlashtirilgan prompt keshlashni taqdim etadi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

json · sse

### Ailoot da mavjud · kirish ma’lumotlari va usullar

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

Kirish

`text`

Chiqish

`json`, `sse`

Chiqish formati

JSON yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar qwen3.7-max | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar user, assistant | Standart— |
| Maydon`messages[].content` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |

Kirish materiallari birikmalari

**Matn** · UTF-8 matni

`messages[].content satri`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`required` | Parametr talablarimodel, messages, max\_tokens |
| Parametr`optional_controls` | Parametr talablaristream |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`text_file_material` | Parametr talablariHaqiqiy UTF-8 hujjatini o‘qing va uning matnini ko‘rsatilgan kirish yoki xabar kontenti satriga joylashtiring. |

Hayot sikli: `synchronous_or_streamed`

### Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim

Standart tarif Tezkor rejim tanlanganda

Flex rejimi

Standart tarif flex rejimi tanlanganda

Maksimal fikrlash darajasi

Standart tarif Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

### So‘rov namunalari

#### Ailoot Ultra · Anthropic Messages

To‘liq minimal JSON so‘rov tanasicurl · O‘zingizning UTF-8 hujjatingizdan foydalaningPython · Natijani to‘liq saqlang

```json
{
  "model": "qwen3.7-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': 'qwen3.7-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': 'qwen3.7-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))
```

### Natijalarni olish va saqlash

#### Ailoot Ultra · Anthropic Messages

JSON yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Barcha kontent bloklari, fikrlash imzolari va haqiqiy vosita ishlatish IDlarini saqlang. SSE bloklarining barcha o‘zgarish qismlarini yig‘ing; birinchi matn bloki to‘liq chiqish emas.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`id` | Turstring |
| Maydon`model` | Turstring |
| Maydon`content[]` | Turtext\|thinking\|tool\_use\|other content block |
| Maydon`stop_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

<strong>Ailoot</strong> [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=messages), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto)
**Ailoot Ultra** [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=messages), [`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=messages)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=messages), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=messages), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=messages)

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

[`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=responses)

Alibaba /`auto`

Model ID

- `qwen3.7-max`
- `auto`

### Boshlash

Qwen3.7 Max — Alibaba’ning kodlash, ofis ishlari va uzoq davom etadigan agent vazifalari uchun yetakchi matn modeli. U bir million tokenli kontekst, funksiyalarni chaqirish, JSON-schema asosidagi tuzilgan chiqishlar va takroriy kontekst uchun hujjatlashtirilgan prompt keshlashni taqdim etadi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

Matn

### Ailoot da mavjud · kirish ma’lumotlari va usullar

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

Kirish

`text`

Chiqish

`text`

Kontekst

991 808 tokens

Eng katta chiqish

131 072 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar auto | Standart— |
| Maydon`input` | Tur`string\|input_item[]` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`instructions` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`input[].type` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar message, reasoning, function\_call, function\_call\_output | Standart— |
| Maydon`input[].content` | Tur`string\|content_part[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`input[].call_id` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: function\_call\_output; haqiqatan qaytarilgan call\_id qiymatini saqlang | Standart— |
| Maydon`input[].output` | Tur`string\|content_part[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: function\_call\_output | Standart— |
| Maydon`max_output_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |
| Maydon`temperature` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`top_p` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools` | Tur`tool[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tool_choice` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`parallel_tool_calls` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning.effort` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning.summary` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`text.format` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`text.verbosity` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`include` | Tur`string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`store` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`previous_response_id` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar ID talabi: Faqat qo‘llab-quvvatlanadigan davom ettirishdan olingan haqiqiy javob IDsi Modelga bogʻliq | Standart— |
| Maydon`service_tier` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`prompt_cache_key` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`prompt_cache_options` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`Kirish matni yoki input_text qismi`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`required` | Parametr talablarimodel, input |
| Parametr`optional_controls` | Parametr talablarinull |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`text_file_material` | Parametr talablariHaqiqiy UTF-8 kontenti matn sifatida kiritiladi; fayl IDlari/URLs uchun alohida aniq qo‘llab-quvvatlash kerak |

Hayot sikli: `exact retained published method`

Metod tuzilishlari va IDlari aniq; yetkazib beruvchining imkoniyati so‘rovni qabul qilishga ruxsatdan alohida.

### Tariflar

#### Ailoot usullari tariflari

Kirish

0,0025 US$ */ 1K*

Chiqish

0,0075 US$ */ 1K*

Keshdan o‘qish

0,0005 US$ */ 1K*

Keshga yozish

≈0,00313 US$ */ 1K*

Keshga yozish, 5 daqiqa

≈0,00313 US$ */ 1K tokens*

code\_interpreter\_call

0,00 US$ *har chaqiruv uchun*

web\_extractor\_call

0,00 US$ *har chaqiruv uchun*

web\_search\_call

0,01 US$ *har chaqiruv uchun*

Maks. chaqiruvlar code\_interpreter\_call

8

Maks. chaqiruvlar web\_extractor\_call

8

Maks. chaqiruvlar web\_search\_call

8

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

#### Ma’lumot uchun tarif tafsilotlari

Modelning ma’lumot jadvallari usul tanlash, narx hisobi yoki to‘lovlarni o‘zgartirmaydi. Amaldagi to‘lovlar tanlangan Ailoot usuli tariflari bo‘yicha hisoblanadi.

Modelning ma’lumot jadvallari

#### Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaOpenAI Chat · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaOpenAI Chat · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

### So‘rov namunalari

#### Ailoot · OpenAI Responses

Matn namunasiPython SDKNode.js SDKPython oqimi

```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": "auto", "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
```

```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="auto", 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: "auto", 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="auto", 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")
```

### Natijalarni olish va saqlash

#### Ailoot · OpenAI Responses

json yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Har bir chiqish elementi va kontent qismini, funksiyaning haqiqiy call\_id qiymatini, shifrlangan fikrlash ma’lumotlari va sarfni saqlang. Oqimli uzatishda hodisa va elementning to‘liq identifikatsiyasini saqlang.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`id` | Turstring |
| Maydon`status` | Turstring |
| Maydon`output[]` | Turmessage\|reasoning\|function\_call\|other item |
| Maydon`output[].content[]` | Turcontent part |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

<strong>Ailoot</strong> [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=responses), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=responses)
**Ailoot Ultra** [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max), [`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=responses), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=responses), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max)

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

[`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=chat)

Alibaba /`auto`

Model ID

- `qwen3.7-max`
- `auto`

### Boshlash

Qwen3.7 Max — Alibaba’ning kodlash, ofis ishlari va uzoq davom etadigan agent vazifalari uchun yetakchi matn modeli. U bir million tokenli kontekst, funksiyalarni chaqirish, JSON-schema asosidagi tuzilgan chiqishlar va takroriy kontekst uchun hujjatlashtirilgan prompt keshlashni taqdim etadi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

Matn

### Ailoot da mavjud · kirish ma’lumotlari va usullar

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

Kirish

`text`

Chiqish

`text`

Kontekst

991 808 tokens

Eng katta chiqish

131 072 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar auto | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar Elementlarning eng kam soni: 1 | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Namunalar: system, user, assistant, tool, function Shartlar: Bu rollar manba kodining moslik turlarida ochiq ifodalangan; aniq rollar to‘plami har bir modelga xos bo‘lib qoladi. Modelga bogʻliq | Standart— |
| Maydon`messages[].content` | Tur`string\|content_part[]\|null` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_calls` | Tur`tool_call[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_call_id` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: role=tool; haqiqatan qaytarilgan IDdan foydalaning | Standart— |
| Maydon`messages[].name` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].reasoning_content` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Ushbu model foydalanganda, haqiqatan qaytarilgan fikrlash ma’lumotlarini keyingi so‘rovda qayta yuboring | Standart— |
| Maydon`messages[].reasoning_details` | Tur`object\|array` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`max_completion_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |
| Maydon`stream_options.include_usage` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`temperature` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`top_p` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`stop` | Tur`string\|string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools` | Tur`function_tool[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools[].type` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools[].function.name` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Funksiya vositasi taqdim etilgan | Standart— |
| Maydon`tools[].function.description` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tools[].function.parameters` | Tur`JSON_schema` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tool_choice` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`parallel_tool_calls` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`response_format` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning_effort` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`service_tier` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`instructions` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Moslik maydoni | Standart— |
| Maydon`functions` | Tur`function[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`function_call` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`prompt_cache_options` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`messages[].content`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`required` | Parametr talablarimodel, messages |
| Parametr`optional_controls` | Parametr talablarinull |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`text_file_material` | Parametr talablariHaqiqiy UTF-8 kontenti matn sifatida kiritiladi; fayl IDlari/URLs uchun alohida aniq qo‘llab-quvvatlash kerak |

Hayot sikli: `exact retained published method`

Metod tuzilishlari va IDlari aniq; yetkazib beruvchining imkoniyati so‘rovni qabul qilishga ruxsatdan alohida.

### Tariflar

#### Ailoot usullari tariflari

Kirish

0,0025 US$ */ 1K*

Chiqish

0,0075 US$ */ 1K*

Keshdan o‘qish

0,0005 US$ */ 1K*

Keshga yozish

≈0,00313 US$ */ 1K*

Keshga yozish, 5 daqiqa

≈0,00313 US$ */ 1K tokens*

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

#### Ma’lumot uchun tarif tafsilotlari

Modelning ma’lumot jadvallari usul tanlash, narx hisobi yoki to‘lovlarni o‘zgartirmaydi. Amaldagi to‘lovlar tanlangan Ailoot usuli tariflari bo‘yicha hisoblanadi.

Modelning ma’lumot jadvallari

#### Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaOpenAI Chat · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaOpenAI Chat · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

### So‘rov namunalari

#### Ailoot · OpenAI Chat

Matn namunasiPython SDKNode.js SDKPython oqimi

```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": "auto", "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
```

```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="auto",
    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: "auto",
  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='auto',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")
```

### Natijalarni olish va saqlash

#### Ailoot · OpenAI Chat

json yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`choices[].index` | Turinteger |
| Maydon`choices[].message.content` | Turstring\|null |
| Maydon`choices[].message.tool_calls` | Turtool\_call\[\] |
| Maydon`choices[].message.reasoning_content` | Turstring |
| Maydon`choices[].message.reasoning_details` | Turobject\|array |
| Maydon`choices[].finish_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

<strong>Ailoot</strong> [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=chat), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=chat)
**Ailoot Ultra** [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=chat), [`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=chat)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=chat), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=chat), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=chat), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=chat)

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `qwen/qwen3.7-max`

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=chat)

Alibaba /`qwen/qwen3.7-max`

Model ID

- `qwen3.7-max`
- `qwen/qwen3.7-max`

### Boshlash

Qwen3.7 Max — Alibaba’ning kodlash, ofis ishlari va uzoq davom etadigan agent vazifalari uchun yetakchi matn modeli. U bir million tokenli kontekst, funksiyalarni chaqirish, JSON-schema asosidagi tuzilgan chiqishlar va takroriy kontekst uchun hujjatlashtirilgan prompt keshlashni taqdim etadi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

Matn

### Ailoot da mavjud · kirish ma’lumotlari va usullar

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

Kirish

`text`

Chiqish

`text`

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar qwen/qwen3.7-max | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar Elementlarning eng kam soni: 1 | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Namunalar: system, user, assistant, tool, function Shartlar: Bu rollar manba kodining moslik turlarida ochiq ifodalangan; aniq rollar to‘plami har bir modelga xos bo‘lib qoladi. Modelga bogʻliq | Standart— |
| Maydon`messages[].content` | Tur`string\|content_part[]\|null` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_calls` | Tur`tool_call[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_call_id` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: role=tool; haqiqatan qaytarilgan IDdan foydalaning | Standart— |
| Maydon`messages[].name` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].reasoning_content` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Ushbu model foydalanganda, haqiqatan qaytarilgan fikrlash ma’lumotlarini keyingi so‘rovda qayta yuboring | Standart— |
| Maydon`messages[].reasoning_details` | Tur`object\|array` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`max_completion_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |
| Maydon`stream_options.include_usage` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`temperature` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`top_p` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`stop` | Tur`string\|string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools` | Tur`function_tool[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools[].type` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar function Modelga bogʻliq | Standart— |
| Maydon`tools[].function.name` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Funksiya vositasi taqdim etilgan | Standart— |
| Maydon`tools[].function.description` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tools[].function.parameters` | Tur`JSON_schema` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tool_choice` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`parallel_tool_calls` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`response_format` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning_effort` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`service_tier` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`instructions` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Moslik maydoni | Standart— |
| Maydon`functions` | Tur`function[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`function_call` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`prompt_cache_options` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`modalities` | Tur`string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar text | Standart— |
| Maydon`provider` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Shartlar: Ushbu Ultra matn marshrutida provider.options rad etiladi | Standart— |
| Maydon`cache_control.ttl` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Shartlar: Haqiqiy prompt-kesh joylarida 1h rad etiladi | Standart— |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`messages[].content`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`required` | Parametr talablarimodel, messages |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`messages` | Parametr talablarirole/content tuzilishidagi xabarlar massivi |
| Parametr`file_material` | Parametr talablariHaqiqiy UTF-8 hujjati aynan matn sifatida kiritiladi; fayl IDsi faraz qilinmaydi |
| Parametr`optional_controls` | Parametr talablaristream, temperature, top\_p, stop, max\_tokens, max\_completion\_tokens, reasoning, response\_format, tools, tool\_choice |
| Parametr`control_scope` | Parametr talablariModelga xos; foydalanuvchi funksiya vositalari hostingdagi vositalardan farq qiladi |
| Parametr`output_modalities` | Parametr talablaritext |
| Parametr`hosted_operations` | Parametr talablarifalse |
| Parametr`multimodal_input_binding` | Parametr talablarinull |

Hayot sikli: `synchronous_or_streamed`

Aniq model IDsini messages bilan yuboring.

Kontekst uzunligi chiqishning yuqori chegarasi emas.

Matn fayli aynan matnni taqdim etishi mumkin; tasvir, audio va fayl obyekti kirishlari aniq bog‘lashni talab qiladi.

### Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim

Standart tarif Tezkor rejim tanlanganda

Flex rejimi

Standart tarif flex rejimi tanlanganda

Maksimal fikrlash darajasi

Standart tarif Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

### So‘rov namunalari

#### Ailoot Ultra · OpenAI Chat

curlPython SDKPython oqimi

```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": "qwen/qwen3.7-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='qwen/qwen3.7-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='qwen/qwen3.7-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")
```

### Natijalarni olish va saqlash

#### Ailoot Ultra · OpenAI Chat

json yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Har bir javob variantini va uning kontenti, vosita chaqiruvlari hamda fikrlash ma’lumotlarini saqlang. SSEda o‘zgarish qismlarini variant va vosita indeksi bo‘yicha yig‘ing, yakuniy tugash sababi va sarf ma’lumotlarini saqlang.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`choices[].index` | Turinteger |
| Maydon`choices[].message.content` | Turstring\|null |
| Maydon`choices[].message.tool_calls` | Turtool\_call\[\] |
| Maydon`choices[].message.reasoning_content` | Turstring |
| Maydon`choices[].message.reasoning_details` | Turobject\|array |
| Maydon`choices[].finish_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

<strong>Ailoot</strong> [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=chat), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=chat)
**Ailoot Ultra** [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=chat), [`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=chat)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=chat), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto&fmt=chat), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=chat), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `qwen/qwen3.7-max`

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=messages)

Alibaba /`qwen/qwen3.7-max`

Model ID

- `qwen3.7-max`
- `qwen/qwen3.7-max`

### Boshlash

Qwen3.7 Max — Alibaba’ning kodlash, ofis ishlari va uzoq davom etadigan agent vazifalari uchun yetakchi matn modeli. U bir million tokenli kontekst, funksiyalarni chaqirish, JSON-schema asosidagi tuzilgan chiqishlar va takroriy kontekst uchun hujjatlashtirilgan prompt keshlashni taqdim etadi.

Qabul qilinadigan kirish ma’lumotlari

Matn

Natijalar

json · sse

### Ailoot da mavjud · kirish ma’lumotlari va usullar

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

Kirish

`text`

Chiqish

`json`, `sse`

Chiqish formati

JSON yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar qwen/qwen3.7-max | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar user, assistant | Standart— |
| Maydon`messages[].content` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |

Kirish materiallari birikmalari

**Matn** · UTF-8 matni

`messages[].content satri`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`content_type` | Parametr talablariapplication/json |
| Parametr`required` | Parametr talablarimodel, messages, max\_tokens |
| Parametr`optional_controls` | Parametr talablaristream |
| Parametr`material_types` | Parametr talablaritext |
| Parametr`text_file_material` | Parametr talablariHaqiqiy UTF-8 hujjatini o‘qing va uning matnini ko‘rsatilgan kirish yoki xabar kontenti satriga joylashtiring. |

Hayot sikli: `synchronous_or_streamed`

### Tariflar

Tarif ma’lumotlari so‘rov imkoniyatlarini qo‘shmaydi. Qo‘llab-quvvatlanadigan parametrlar tanlangan usulda ko‘rsatilgan.

Tezkor rejim

Standart tarif Tezkor rejim tanlanganda

Flex rejimi

Standart tarif flex rejimi tanlanganda

Maksimal fikrlash darajasi

Standart tarif Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

Har bir to‘lovni ko‘rsatilgan shartlarga moslang. Har bir muqobil sozlamalar to‘plami uchun bitta tarifdan foydalaning.

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.00295** / 1K token Chiqish · Chiqish tokenlari **$0.00885** / 1K token Kirish · Keshdan o‘qish **$0.00059** / 1K token Kirish · Keshga yozish **$0.0036875** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

Ailoot so‘rovdan oldin taxminiy summani band qiladi. Natijadan keyin o‘lchangan sarf asosidagi yakuniy to‘lovni yechadi. Oqimli javob bo‘yicha yakuniy hisob-kitob yakuniy sarf yozuviga asoslanadi. [Summani band qilish va to‘lovni hisoblash tartibi →](https://ailoot.ai/docs/uz/billing/reserve/)

### So‘rov namunalari

#### Ailoot Ultra · Anthropic Messages

To‘liq minimal JSON so‘rov tanasicurl · O‘zingizning UTF-8 hujjatingizdan foydalaningPython · Natijani to‘liq saqlang

```json
{
  "model": "qwen/qwen3.7-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': 'qwen/qwen3.7-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': 'qwen/qwen3.7-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))
```

### Natijalarni olish va saqlash

#### Ailoot Ultra · Anthropic Messages

JSON yoki SSE

##### Barcha tayyor natijalarni saqlash

Qaytarilgan har bir to‘liq javob, fayl va kontent qismini saqlang.

Barcha kontent bloklari, fikrlash imzolari va haqiqiy vosita ishlatish IDlarini saqlang. SSE bloklarining barcha o‘zgarish qismlarini yig‘ing; birinchi matn bloki to‘liq chiqish emas.

##### Asl javobni tekshirish kerak bo‘lsa

So‘rov va javob IDlari hamda sarlavhalarini saqlang. Matn vazifasini olish uchun umumiy URL taqdim etilmagan.

Javob maydonlari

| Maydon | Tur |
| --- | --- |
| Maydon`id` | Turstring |
| Maydon`model` | Turstring |
| Maydon`content[]` | Turtext\|thinking\|tool\_use\|other content block |
| Maydon`stop_reason` | Turstring\|null |
| Maydon`usage` | Turobject |

Xatolar va keyingi qadamlar

| Javob | Shart | Keyingi qadam |
| --- | --- | --- |
| Javob400 · `invalid_request_error` | ShartMajburiy maydonlar, material ifodasi yoki parametr qiymati noto‘g‘ri | Keyingi qadamYangi yaratish so‘rovidan oldin ko‘rsatilgan maydonlarni tuzating. |

### Taxalluslar

#### Model taxalluslari

<strong>Ailoot</strong> [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=messages), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto)
**Ailoot Ultra** [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=messages), [`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=messages)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`qwen/qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen%2Fqwen3.7-max&fmt=messages), [`auto`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=auto), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Core&caller=qwen3.7-max&fmt=messages), [`qwen3.7-max`](https://ailoot.ai/models/uz/#m=qwen%2Fqwen3.7-max&route=Ultra&caller=qwen3.7-max&fmt=messages)

FAQ · Qwen: Qwen3.7 Max

Qanday kirish ma’lumotlari va natijalar mavjud?

`POST /v1/messages` · `qwen3.7-max`: `text` → `text` `POST /v1/responses` · `qwen3.7-max`: `text` → `text` `POST /v1/chat/completions` · `qwen3.7-max`: `text` → `text` `POST /v1/chat/completions` · `qwen3.7-max`: `text` → `text` `POST /v1/messages` · `qwen3.7-max`: `text` → `json`, `sse` `POST /v1/responses` · `auto`: `text` → `text` `POST /v1/chat/completions` · `auto`: `text` → `text` `POST /v1/chat/completions` · `qwen/qwen3.7-max`: `text` → `text` `POST /v1/messages` · `qwen/qwen3.7-max`: `text` → `json`, `sse`

So‘rov qaysi maydonlardan foydalanadi?

`POST /v1/messages` · `qwen3.7-max`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `qwen3.7-max`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `qwen3.7-max`: `model`, `messages`, `stream` `POST /v1/chat/completions` · `qwen3.7-max`: `model`, `messages`, `stream` `POST /v1/messages` · `qwen3.7-max`: `model`, `messages`, `max_tokens`, `stream` `POST /v1/responses` · `auto`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `auto`: `model`, `messages`, `stream` `POST /v1/chat/completions` · `qwen/qwen3.7-max`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `qwen/qwen3.7-max`: `model`, `messages`, `max_tokens`, `stream`

Qanday cheklovlar amal qiladi?

`POST /v1/messages` · `qwen3.7-max`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `qwen3.7-max`: `ctx`: `991808`; `max_out`: `131072` `POST /v1/chat/completions` · `qwen3.7-max`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/chat/completions` · `qwen3.7-max`: `messages.min_items`: `1` `POST /v1/responses` · `auto`: `ctx`: `991808`; `max_out`: `131072` `POST /v1/chat/completions` · `auto`: `ctx`: `991808`; `max_out`: `131072`; `messages.min_items`: `1` `POST /v1/chat/completions` · `qwen/qwen3.7-max`: `messages.min_items`: `1`

Ailoot’ni Claude Code, OpenCode, Hermes yoki ilovangizga ulang.

## Kompaniya va uning loyihalar portfeli

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## Tokenlarni chegirma bilan xarid qiling.

Muntazam ish uchun obuna chegirmasi. Token xaridiga promokodlar — 50% gacha.

Obuna

Muntazam so‘rovlaringiz uchun chegirmali tarif tanlang.

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## Ailoot · Kompaniya va uning loyihalar portfeli





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