Source: https://ailoot.ai/models/uz/minimax-m2-7-highspeed/
Canonical: https://ailoot.ai/models/uz/minimax-m2-7-highspeed/
Language: uz

# MiniMax-M2.7-highspeed

[Markdown](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/index.md) · [JSON](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/facts.json)

## [MiniMax-M2.7-highspeed](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/)

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

- [**Ailoot · Anthropic Messages** `POST /v1/messages` `MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-0)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-1)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-2)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-3)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-4)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `minimax-highspeed`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-5)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `minimax-highspeed`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-6)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `minimax-highspeed`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-7)
- [**Ailoot · Anthropic Messages** `POST /v1/messages` `minimax-highspeed-latest`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-8)
- [**Ailoot · OpenAI Responses** `POST /v1/responses` `minimax-highspeed-latest`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-9)
- [**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `minimax-highspeed-latest`](https://ailoot.ai/models/uz/minimax-m2-7-highspeed/#method-10)

Model haqida

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

#### Vazifasi o‘zgarmagan tezlashtirilgan iteratsiyalar

MiniMax M2.7-highspeed — kod, vositalar va professional materiallar bilan ishlash uchun M2.7’ning tezlashtirilgan varianti. MiniMax ma’lumotiga ko‘ra, u standart versiya qobiliyatlarini saqlaydi va javobni tezroq shakllantiradi. Asosiy yo‘nalishlar — ko‘p tilli dasturlash, aniq refaktoring va davomli muhandislik ishi.

Modeldan loyihani izchil ishlab chiqishda foydalanish mumkin: jurnallarni tahlil qilish, nosozlik sababini qidirish, kod xavfsizligini tahlil qilish va mashinali o‘qitish vazifalarini yechish. Vositalar orqali u muhit holati haqida ma’lumot oladi va undan keyingi tuzatishda foydalanadi. Bunda reja bajarish natijalariga qarab aniqlashtirilishi mumkin.

#### Hujjatlarni tayyorlash va tahrirlash

Highspeed M2.7’ning ofis yo‘nalishini saqlaydi: Word, Excel va PowerPoint, murakkab tuzatishlar va bir nechta aniqlashtirish davri bilan ishlash. Model tahrirlash vositalarini yo‘naltirishi va natija belgilangan talablarga mosligini tekshirishi mumkin. Suhbat ssenariylarida M2.7’ning xarakter va hissiy muloqotga urg‘usi saqlanadi.

#### Vositali ish va kontekst

M2.7 murakkab ko‘rsatmalar, ixtisoslashgan ko‘nikmalar va vositalarni dinamik tanlash uchun mo‘ljallangan. Highspeed’ning bu imkoniyatlari bir nechta amal umumiy maqsad bilan bog‘lanishni saqlashi kerak bo‘lgan jarayonda foydali. Model matn va vositalarga murojaatlar yaratadi, fayllarni o‘qish, hisob-kitoblar va buyruqlarni bajarish esa ulangan muhitga tegishli bo‘lib qoladi.

Kontekst — **204 800 token**. MiniMax ma’lumotiga ko‘ra, bu versiyaning chiqish mo‘ljali — taxminan **soniyasiga 100 token**. To‘liq ish vaqti javob uzunligi va muhit amallariga ham bog‘liq. Bu kartada matn qabul qilinadi va matnli natija qaytariladi.

Variant M2.7’ning professional ssenariylarini meros oladi: tizim ishi kuzatuvlarini tahlil qilish, jurnallar va o‘zgarishlarni solishtirish, vositalar orqali farazlarni tekshirish va tuzatish tayyorlash. Moliyaviy materiallar bilan ishlashda model hisobotlarni o‘qish, taxminlar shakllantirish va shablon bo‘yicha hujjat hamda taqdimot bilan prognoz tayyorlashda qatnashishi mumkin.

Amaliy vazifa

### Amaliy vazifa

Ingliz tilidagi texnik misol

```
Refactor duplicate validation

Refactor these duplicated validation rules into one Python function without changing behavior. create: reject name == "" and count < 1. update: reject name == "" and count < 1. Whitespace-only names are currently allowed and must remain allowed. Return the function, how both callers use it and regression cases for empty, whitespace and positive/zero counts.
```

#### Kutiladigan natija

```
A shared validation function, two integration snippets and regression cases preserving the stated behavior.
```

#### Natijani tekshirish

```
Check that the refactor rejects empty names and zero counts while continuing to allow whitespace-only names.
```

**Ailoot · Anthropic Messages** `POST /v1/messages` `MiniMax-M2.7-highspeed`

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages)

MiniMax /`MiniMax-M2.7-highspeed`

Model ID

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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

204 800 tokens

Eng katta chiqish

204 800 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar MiniMax-M2.7-highspeed | 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

0,0006 US$ */ 1K*

Chiqish

0,0024 US$ */ 1K*

Keshdan o‘qish

≈0,00006 US$ */ 1K*

Keshga yozish

0,000375 US$ */ 1K*

Keshga yozish, 5 daqiqa

0,000375 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/)

### 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": "MiniMax-M2.7-highspeed", "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="MiniMax-M2.7-highspeed",
    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: "MiniMax-M2.7-highspeed",
  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='MiniMax-M2.7-highspeed',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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `MiniMax-M2.7-highspeed`

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses)

MiniMax /`MiniMax-M2.7-highspeed`

Model ID

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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

204 800 tokens

Eng katta chiqish

204 800 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar MiniMax-M2.7-highspeed | 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

0,0006 US$ */ 1K*

Chiqish

0,0024 US$ */ 1K*

Keshdan o‘qish

≈0,00006 US$ */ 1K*

Keshga yozish

0,000375 US$ */ 1K*

Keshga yozish, 5 daqiqa

0,000375 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/)

### 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": "MiniMax-M2.7-highspeed", "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="MiniMax-M2.7-highspeed", 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: "MiniMax-M2.7-highspeed", 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="MiniMax-M2.7-highspeed", 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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `MiniMax-M2.7-highspeed`

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat)

MiniMax /`MiniMax-M2.7-highspeed`

Model ID

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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

204 800 tokens

Eng katta chiqish

204 800 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar MiniMax-M2.7-highspeed | 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

0,0006 US$ */ 1K*

Chiqish

0,0024 US$ */ 1K*

Keshdan o‘qish

≈0,00006 US$ */ 1K*

Keshga yozish

0,000375 US$ */ 1K*

Keshga yozish, 5 daqiqa

0,000375 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/)

### 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": "MiniMax-M2.7-highspeed", "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="MiniMax-M2.7-highspeed",
    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: "MiniMax-M2.7-highspeed",
  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='MiniMax-M2.7-highspeed',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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `MiniMax-M2.7-highspeed`

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat)

MiniMax /`MiniMax-M2.7-highspeed`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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 MiniMax-M2.7-highspeed | 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

Ko‘rsatilmagan Tezkor rejim tanlanganda

Flex rejimi

Ko‘rsatilmagan flex rejimi tanlanganda

Maksimal fikrlash darajasi

Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

| Sozlama | Tariflar jadvali | To‘lov |
| --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | To‘lov Kirish · Kirish tokenlari **$0.0012** / 1K token Chiqish · Chiqish tokenlari **$0.0096** / 1K token Kirish · Keshdan o‘qish **$0** / 1K token Kirish · Keshga yozish **$0** / 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":"MiniMax-M2.7-highspeed","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="MiniMax-M2.7-highspeed", 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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `MiniMax-M2.7-highspeed`

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages)

MiniMax /`MiniMax-M2.7-highspeed`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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 MiniMax-M2.7-highspeed | 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

Ko‘rsatilmagan Tezkor rejim tanlanganda

Flex rejimi

Ko‘rsatilmagan flex rejimi tanlanganda

Maksimal fikrlash darajasi

Ko‘rsatilmagan Maksimal fikrlash darajasi uchun standart (default) tuzatish qo‘llanganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

| Sozlama | Tariflar jadvali | To‘lov |
| --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | To‘lov Kirish · Kirish tokenlari **$0.0012** / 1K token Chiqish · Chiqish tokenlari **$0.0096** / 1K token Kirish · Keshdan o‘qish **$0** / 1K token Kirish · Keshga yozish **$0** / 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": "MiniMax-M2.7-highspeed",
  "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': 'MiniMax-M2.7-highspeed', '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': 'MiniMax-M2.7-highspeed', '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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)

**Ailoot · Anthropic Messages** `POST /v1/messages` `minimax-highspeed`

[`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages)

MiniMax /`minimax-highspeed`

Model ID

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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

204 800 tokens

Eng katta chiqish

204 800 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar minimax-highspeed | 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

0,0006 US$ */ 1K*

Chiqish

0,0024 US$ */ 1K*

Keshdan o‘qish

≈0,00006 US$ */ 1K*

Keshga yozish

0,000375 US$ */ 1K*

Keshga yozish, 5 daqiqa

0,000375 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/)

### 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": "minimax-highspeed", "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="minimax-highspeed",
    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: "minimax-highspeed",
  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='minimax-highspeed',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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)

**Ailoot · OpenAI Responses** `POST /v1/responses` `minimax-highspeed`

[`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses)

MiniMax /`minimax-highspeed`

Model ID

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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

204 800 tokens

Eng katta chiqish

204 800 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar minimax-highspeed | 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

0,0006 US$ */ 1K*

Chiqish

0,0024 US$ */ 1K*

Keshdan o‘qish

≈0,00006 US$ */ 1K*

Keshga yozish

0,000375 US$ */ 1K*

Keshga yozish, 5 daqiqa

0,000375 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/)

### 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": "minimax-highspeed", "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="minimax-highspeed", 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: "minimax-highspeed", 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="minimax-highspeed", 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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)

**Ailoot · OpenAI Chat** `POST /v1/chat/completions` `minimax-highspeed`

[`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat)

MiniMax /`minimax-highspeed`

Model ID

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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

204 800 tokens

Eng katta chiqish

204 800 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar minimax-highspeed | 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

0,0006 US$ */ 1K*

Chiqish

0,0024 US$ */ 1K*

Keshdan o‘qish

≈0,00006 US$ */ 1K*

Keshga yozish

0,000375 US$ */ 1K*

Keshga yozish, 5 daqiqa

0,000375 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/)

### 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": "minimax-highspeed", "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="minimax-highspeed",
    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: "minimax-highspeed",
  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='minimax-highspeed',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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)

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

[`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)

MiniMax /`minimax-highspeed-latest`

Model ID

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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

204 800 tokens

Eng katta chiqish

204 800 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar minimax-highspeed-latest | 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

0,0006 US$ */ 1K*

Chiqish

0,0024 US$ */ 1K*

Keshdan o‘qish

≈0,00006 US$ */ 1K*

Keshga yozish

0,000375 US$ */ 1K*

Keshga yozish, 5 daqiqa

0,000375 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/)

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

```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="minimax-highspeed-latest",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

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

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

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

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

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

saveResult(msg);
```

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

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

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

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

### 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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=messages), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=messages), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=messages), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=messages)

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

[`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)

MiniMax /`minimax-highspeed-latest`

Model ID

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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

204 800 tokens

Eng katta chiqish

204 800 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar minimax-highspeed-latest | 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

0,0006 US$ */ 1K*

Chiqish

0,0024 US$ */ 1K*

Keshdan o‘qish

≈0,00006 US$ */ 1K*

Keshga yozish

0,000375 US$ */ 1K*

Keshga yozish, 5 daqiqa

0,000375 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/)

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

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

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

```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="minimax-highspeed-latest", input="Explain the difference between an observation and a hypothesis in three sentences.")
import base64, json
from pathlib import Path

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

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

```js
import OpenAI from "openai";

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

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

saveResult(resp);
```

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

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

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

### 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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=responses), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=responses), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=responses)

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

[`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)

MiniMax /`minimax-highspeed-latest`

Model ID

- `MiniMax-M2.7-highspeed`
- `minimax-highspeed`
- `minimax-highspeed-latest`

### Boshlash

Dasturlash, vositalar bilan murakkab vazifalar va hujjatlar bilan ishlash uchun tezlashtirilgan M2.7.

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

204 800 tokens

Eng katta chiqish

204 800 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar minimax-highspeed-latest | 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

0,0006 US$ */ 1K*

Chiqish

0,0024 US$ */ 1K*

Keshdan o‘qish

≈0,00006 US$ */ 1K*

Keshga yozish

0,000375 US$ */ 1K*

Keshga yozish, 5 daqiqa

0,000375 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/)

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

```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="minimax-highspeed-latest",
    messages=[{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}],
)
import base64, json
from pathlib import Path

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

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

```js
import OpenAI from "openai";

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

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

saveResult(resp);
```

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

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

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

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

### 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> [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)
**Ailoot Ultra** [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=MiniMax-M2.7-highspeed&fmt=chat), [`MiniMax-M2.7-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Ultra&caller=MiniMax-M2.7-highspeed&fmt=chat), [`minimax-highspeed`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed&fmt=chat), [`minimax-highspeed-latest`](https://ailoot.ai/models/uz/#m=MiniMax-M2.7-highspeed&route=Core&caller=minimax-highspeed-latest&fmt=chat)

FAQ · MiniMax-M2.7-highspeed

Qanday kirish ma’lumotlari va natijalar mavjud?

`POST /v1/messages` · `MiniMax-M2.7-highspeed`: `text` → `text` `POST /v1/responses` · `MiniMax-M2.7-highspeed`: `text` → `text` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `text` → `text` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `text` → `text` `POST /v1/messages` · `MiniMax-M2.7-highspeed`: `text` → `json`, `sse` `POST /v1/messages` · `minimax-highspeed`: `text` → `text` `POST /v1/responses` · `minimax-highspeed`: `text` → `text` `POST /v1/chat/completions` · `minimax-highspeed`: `text` → `text` `POST /v1/messages` · `minimax-highspeed-latest`: `text` → `text` `POST /v1/responses` · `minimax-highspeed-latest`: `text` → `text` `POST /v1/chat/completions` · `minimax-highspeed-latest`: `text` → `text`

So‘rov qaysi maydonlardan foydalanadi?

`POST /v1/messages` · `MiniMax-M2.7-highspeed`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `MiniMax-M2.7-highspeed`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `model`, `messages`, `stream` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `model`, `messages`, `stream` `POST /v1/messages` · `MiniMax-M2.7-highspeed`: `model`, `messages`, `max_tokens`, `stream` `POST /v1/messages` · `minimax-highspeed`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `minimax-highspeed`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `minimax-highspeed`: `model`, `messages`, `stream` `POST /v1/messages` · `minimax-highspeed-latest`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1/responses` · `minimax-highspeed-latest`: `model`, `input`, `instructions`, `stream` `POST /v1/chat/completions` · `minimax-highspeed-latest`: `model`, `messages`, `stream`

Qanday cheklovlar amal qiladi?

`POST /v1/messages` · `MiniMax-M2.7-highspeed`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `MiniMax-M2.7-highspeed`: `ctx`: `204800`; `max_out`: `204800` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1` `POST /v1/chat/completions` · `MiniMax-M2.7-highspeed`: `messages.min_items`: `1` `POST /v1/messages` · `minimax-highspeed`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `minimax-highspeed`: `ctx`: `204800`; `max_out`: `204800` `POST /v1/chat/completions` · `minimax-highspeed`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1` `POST /v1/messages` · `minimax-highspeed-latest`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1/responses` · `minimax-highspeed-latest`: `ctx`: `204800`; `max_out`: `204800` `POST /v1/chat/completions` · `minimax-highspeed-latest`: `ctx`: `204800`; `max_out`: `204800`; `messages.min_items`: `1`

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

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