Source: https://ailoot.ai/models/uz/gemini-2-5-pro/
Canonical: https://ailoot.ai/models/uz/gemini-2-5-pro/
Language: uz

# Google: Gemini 2.5 Pro

[Markdown](https://ailoot.ai/models/uz/gemini-2-5-pro/index.md) · [JSON](https://ailoot.ai/models/uz/gemini-2-5-pro/facts.json)

## [Google: Gemini 2.5 Pro](https://ailoot.ai/models/uz/gemini-2-5-pro/)

Gemini 2.5 Pro — Google’ning murakkab kod, matematika, STEM va uzun kontekstli tahlil uchun barqaror fikrlash modeli. U matn, tasvir, audio, video va PDF qabul qilib, vositalar va tuzilgan chiqish bilan matn qaytaradi. Uning dinamik mulohaza limiti 128–32,768 tokenni qo‘llab-quvvatlaydi va uni to‘liq o‘chirib bo‘lmaydi.

- [**Ailoot · Anthropic Messages** `POST /v1/messages` `gemini-2.5-pro`](https://ailoot.ai/models/uz/gemini-2-5-pro/#method-0)
- [**Ailoot · Gemini generateContent** `POST /v1beta/models/{model}:generateContent` `gemini-2.5-pro`](https://ailoot.ai/models/uz/gemini-2-5-pro/#method-1)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `gemini-2.5-pro`](https://ailoot.ai/models/uz/gemini-2-5-pro/#method-2)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `gemini-2.5-pro`](https://ailoot.ai/models/uz/gemini-2-5-pro/#method-3)
- [**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `google/gemini-2.5-pro`](https://ailoot.ai/models/uz/gemini-2-5-pro/#method-4)
- [**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `google/gemini-2.5-pro`](https://ailoot.ai/models/uz/gemini-2-5-pro/#method-5)

Model haqida

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

Gemini 2.5 Pro — Google’ning ilg‘or dasturlash, matematika, STEM va uzun kontekstli tahlil uchun barqaror fikrlash profili. U matn, audio, tasvir, video va butun kod repozitoriylarini tushuna oladi, Gemini API profili esa PDF kirishini ham qabul qiladi. Chiqish — matn, jumladan kod, yozma tahlil yoki tuzilgan yozuv. Foydali topshiriq dalillarni beradi va izohlangan yechim, kod bazasidagi topilma yoki bir nechta hujjatni solishtirish kabi tekshirish mumkin bo‘lgan natijani so‘raydi.

Dasturlash uchun tegishli fayllar, kuzatilgan xatti-harakat va muhim o‘zgarish yoki savolni bering. Uzun kontekst modelga bitta ajratilgan parcha asosida mulohaza yuritish o‘rniga modullarni o‘zaro bog‘lashga yordam berishi mumkin. Kod yo‘lini tekshirish uchun identifikatorni kirish formasidan qayta ishlash va saqlashgacha kuzatishni, dasturiy kontrakt qayerda o‘zgarishini aniqlashni hamda maqsadli tuzatish taklif qilishni so‘rang. Cheklovlarni saqlang va asoslovchi havolalarni so‘rang. Taklif etilgan tuzatishni haqiqiy kod va ulangan vositalar orqali bajarilgan har qanday tekshiruv bilan solishtirish kerak.

Matematik yoki ilmiy tahlil uchun masala, taxminlar, o‘lchov birliklari va javobning zarur shaklini belgilang. Hisob-kitob bog‘liq bo‘lgan ma’lumot yoki chizmalarni bering. Asoslangan natija va uni baholashga imkon beradigan tekshiruvlarni, masalan, chegaraviy holatlar yoki asl qiymatlar bilan solishtirishni so‘rang. Modelning mulohaza yuritish qobiliyati masala shartidagi noaniqlikni yo‘qotmaydi. Noma’lum miqdor yoki asoslanmagan taxminni qulay qiymat bilan almashtirish o‘rniga ochiq ko‘rsating.

Dinamik fikrlash hujjatlashtirilgan standart hisoblanadi. Gemini 2.5 GenerateContent qo‘llanmasi Pro uchun 128 dan 32,768 tokengacha aniq mulohaza limitini yoki moslashuvchan fikrlash uchun -1 qiymatini qo‘llab-quvvatlaydi. Ushbu nashrda fikrlashni to‘liq o‘chirib bo‘lmaydi. Bu boshqaruvlar Flash’ning nol limitli variantidan va Gemini 3 fikrlash darajalari sozlamalaridan farq qiladi. Fikrlash limiti ichki tokenlarning aniq sonini kafolatlashdan ko‘ra mulohazaga yo‘l ko‘rsatadi, javob chegarasi esa yakuniy material uchun ham joy qoldirishi kerak.

Multimodal hujjat ishlarida javobni asoslaydigan sahifalar, grafik, tasvir hududi yoki yozuv hodisasini aniqlang. Amaliy umumlashtirish vazifasi bir nechta manba hujjatlaridagi qarama-qarshi da’volarni, ularni asoslovchi parchalarni va bitta qaror uchun muhim farqlarni so‘rashi mumkin. Modeldan bayon etilgan faktni xulosaviy talqindan ajratishni so‘rang. Video yoki audio uchun natija tavsif, transkript, qisqacha mazmun yoki solishtirish bo‘lishini belgilang. Ushbu profilda tasvir va ovoz matnli natija uchun dalildir.

Aynan shu API sahifasida funksiya chaqirish, kod bajarish, fayl qidirish, qidiruv manbalari bilan asoslash, Maps manbalari bilan asoslash, URL konteksti va tuzilgan chiqishlar hujjatlashtirilgan. Funksiyalar maqsadi va parametr maydonlarini belgilang hamda keyingi suhbat navbatlarida haqiqiy natijalarni saqlang. Sxema bilan cheklangan yozuv uchun majburiy maydonlarni va yetishmayotgan ma’lumot qanday ifodalanishini ko‘rsating. Asosiy arxitektura — multimodal siyrak ekspertlar aralashmasi transformeri; modelning bu tuzilishi o‘z-o‘zidan tashqi vosita bajarilishini yoki qaytarilgan matn yoxud koddan tashqari tayyor ilovani ta’minlamaydi.

Asosiy kartada 1M kirish konteksti va 64K matn chiqishi ko‘rsatilgan; API jadvalida esa 1,048,576 kirish tokeni va 65,536 chiqish tokeni belgilangan. Ko‘rsatmalar, manba mazmuni va saqlangan tarix kirishni tayyorlash hajmiga qo‘shiladi. Maksimal javob limiti mulohaza tokenlarini ham o‘z ichiga oladi, shu sababli haddan tashqari kichik chegara yakuniy javobni uzib qo‘yishi mumkin. Keshlash va paketli ishlov, shuningdek Flex va Priority variantlari hujjatlashtirilgan. Mustaqil uzun kontekstli vazifalarni tayyorlashda har bir manba identifikatori va so‘ralgan yakuniy shaklni saqlang.

Barqaror identifikator umumiy Pro model kartasida alohida muhokama qilingan Experimental va Preview nashrlaridan farq qiladi. Faqat Pro nomi umumiy bo‘lgani uchun ularning versiyaga xos natijalarini ushbu profilga tegishli deb hisoblamang. Kartada mumkin bo‘lgan gallyutsinatsiyalar va sababiy tushunish, murakkab xulosa chiqarish hamda kontrfaktual mulohaza cheklovlari qayd etilgan, bilimlarning oxirgi sanasi esa 2025-yil yanvar deb ko‘rsatilgan. Muhim bo‘lsa dolzarb dalillarni bering, manba havolalari, hisob-kitoblar va taklif etilgan o‘zgartirishlarni tekshiring. Foydali chiqish — vazifa so‘ragan, asoslangan matn yoki kod materiali.

Amaliy vazifa

### Amaliy vazifa

Ingliz tilidagi texnik misol

```
Trace an identifier through storage

Trace this identifier through three excerpts: form sends {customer_id:'0017'}; service computes id=Number(body.customer_id); repository stores String(id). Requirement: preserve leading zeros. Identify where the contract changes, propose a minimal consistent correction and give tests for '0017', '17' and a missing ID. Do not claim the tests were executed.
```

#### Kutiladigan natija

```
A source-path explanation, a proposed patch and a three-case regression-test plan.
```

#### Natijani tekshirish

```
Check that the proposed path preserves distinct strings 0017 and 17 while specifying missing-ID behavior.
```

**Ailoot · Anthropic Messages** `POST /v1/messages` `gemini-2.5-pro`

[`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro&fmt=messages)

Google /`gemini-2.5-pro`

### Boshlash

Gemini 2.5 Pro — Google’ning murakkab kod, matematika, STEM va uzun kontekstli tahlil uchun barqaror fikrlash modeli. U matn, tasvir, audio, video va PDF qabul qilib, vositalar va tuzilgan chiqish bilan matn qaytaradi. Uning dinamik mulohaza limiti 128–32,768 tokenni qo‘llab-quvvatlaydi va uni to‘liq o‘chirib bo‘lmaydi.

Qabul qilinadigan kirish ma’lumotlari

Matn · Rasmlar

Natijalar

Matn

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

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

Kirish

`text`, `image`

Chiqish

`text`

Kontekst

1 048 576 tokens

Eng katta chiqish

65 536 tokens

Chiqish formati

json yoki SSE

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar gemini-2.5-pro | 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`

**Matn + rasm**

`{type:image,source:{type:base64,media_type,data}} yoki type=url turidagi manba`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`material_types` | Parametr talablaritext, image |
| 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

0,00125 US$ */ 1K*

Chiqish

0,01 US$ */ 1K*

Keshdan o‘qish

0,000125 US$ */ 1K*

#### So‘rov uzunligiga qarab narxlar · Anthropic Messages

| So‘rov hajmi, tokenlarda | Kirish | Chiqish | Keshdan o‘qish | Keshga yozish | Kesh 5 daqiqa | Kesh 1 soat |
| --- | --- | --- | --- | --- | --- | --- |
| So‘rov hajmi, tokenlarda(0; 200 000\] | Kirish0,00125 US$ | Chiqish0,01 US$ | Keshdan o‘qish0,000125 US$ | Keshga yozishAsosiy: — | Kesh 5 daqiqaAsosiy: — | Kesh 1 soatAsosiy: — |
| So‘rov hajmi, tokenlarda(200 000; ∞) | Kirish0,0025 US$ | Chiqish0,015 US$ | Keshdan o‘qish0,00025 US$ | Keshga yozishAsosiy: — | Kesh 5 daqiqaAsosiy: — | Kesh 1 soatAsosiy: — |

1K token uchun USD tariflari. Tarif belgilanmagan bo‘lsa, ushbu usulning asosiy tarifi qo‘llanadi; «—» asosiy tarif belgilanmaganini bildiradi.

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

#### Ma’lumot uchun tarif tafsilotlari

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

Modelning ma’lumot jadvallari

#### Sozlamalar bo‘yicha narxlar

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

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaOpenAI Chat · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token Chiqish · Mantiqiy fikrlashning chiqish tokenlari **$0.02** / 1K token |
| SozlamaOpenAI Chat · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi200 000 | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaOpenAI Chat · So‘rov uzunligi bo‘yicha 2-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p200 000 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.005** / 1K token Chiqish · Chiqish tokenlari **$0.03** / 1K token Kirish · Keshdan o‘qish **$0.0005** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token Chiqish · Mantiqiy fikrlashning chiqish tokenlari **$0.02** / 1K token |
| SozlamaAnthropic Messages · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi200 000 | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · So‘rov uzunligi bo‘yicha 2-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p200 000 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.005** / 1K token Chiqish · Chiqish tokenlari **$0.03** / 1K token Kirish · Keshdan o‘qish **$0.0005** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

### So‘rov namunalari

#### Ailoot · Anthropic Messages

Matn namunasiKirish, rasmPython 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": "gemini-2.5-pro", "max_tokens": 1024, "messages": []}')
f=Path(os.environ["AILOOT_TEXT_FILE"])
if not f.is_file():raise SystemExit("Choose your actual UTF-8 source material")
text=f.read_text(encoding="utf-8")
if not text.strip():raise SystemExit("Source material must contain text")
p["messages"]=[{"role":"user","content":"Summarize this material and quote supporting source passages.\n\n"+text}]
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "gemini-2.5-pro", "max_tokens": 1024, "messages": [{"role": "user", "content": [{"type": "text", "text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["messages"][0]["content"].append({"type":"image","source":{"type":"base64","media_type":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1/messages \
  -H "x-api-key: $AILOOT_API_KEY" -H 'anthropic-version: 2023-06-01' -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import json
from pathlib import Path
print(json.dumps(json.loads(Path("result.json").read_text()),ensure_ascii=False,indent=2))
PY_RESULT
```

```python
import anthropic
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = anthropic.Anthropic(base_url="https://api.ailoot.ai", api_key=os.environ["AILOOT_API_KEY"], max_retries=0)
msg = client.messages.create(
    model="gemini-2.5-pro",
    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: "gemini-2.5-pro",
  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='gemini-2.5-pro',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> [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro&fmt=messages)
**Ailoot Ultra** [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=messages), [`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=messages)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=messages), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro&fmt=messages), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=messages)

**Ailoot · Gemini generateContent** `POST /v1beta/models/{model}:generateContent` `gemini-2.5-pro`

[`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro&fmt=gemini)

Google /`gemini-2.5-pro`

### Boshlash

Gemini 2.5 Pro — Google’ning murakkab kod, matematika, STEM va uzun kontekstli tahlil uchun barqaror fikrlash modeli. U matn, tasvir, audio, video va PDF qabul qilib, vositalar va tuzilgan chiqish bilan matn qaytaradi. Uning dinamik mulohaza limiti 128–32,768 tokenni qo‘llab-quvvatlaydi va uni to‘liq o‘chirib bo‘lmaydi.

Qabul qilinadigan kirish ma’lumotlari

Matn · Rasmlar

Natijalar

Matn

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

**Ailoot · Gemini generateContent** `POST /v1beta/models/{model}:generateContent`

Kirish

`text`, `image`

Chiqish

`text`

Kontekst

1 048 576 tokens

Eng katta chiqish

65 536 tokens

Chiqish formati

json yoki qo‘llab-quvvatlanadigan oqimli uzatish

| Maydon | Tur | Talab | Qiymatlar va cheklovlar | Standart |
| --- | --- | --- | --- | --- |
| Maydon`path.model` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar gemini-2.5-pro | Standart— |
| Maydon`contents` | Tur`content[]` | TalabMajburiy | Qiymatlar va cheklovlar Elementlarning eng kam soni: 1 | Standart— |
| Maydon`contents[].role` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar user, model | Standart— |
| Maydon`contents[].parts` | Tur`part[]` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`systemInstruction` | Tur`content` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`generationConfig.maxOutputTokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`generationConfig.temperature` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`generationConfig.topP` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`generationConfig.topK` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`generationConfig.stopSequences` | Tur`string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`generationConfig.thinkingConfig.includeThoughts` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`generationConfig.thinkingConfig.thinkingBudget` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools[].functionDeclarations` | Tur`function_declaration[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`toolConfig.functionCallingConfig.mode` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`safetySettings` | Tur`object[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`sessionId` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`contents[].parts[].text`

**Matn + rasm**

`parts[].inlineData={mimeType,data}`

Usul parametrlari va hayot sikli

| Parametr | Parametr talablari |
| --- | --- |
| Parametr`material_types` | Parametr talablaritext, image |
| Parametr`required` | Parametr talablaricontents |
| 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

0,00125 US$ */ 1K*

Chiqish

0,01 US$ */ 1K*

Keshdan o‘qish

0,000125 US$ */ 1K*

#### So‘rov uzunligiga qarab narxlar · Gemini generateContent

| So‘rov hajmi, tokenlarda | Kirish | Chiqish | Keshdan o‘qish | Keshga yozish | Kesh 5 daqiqa | Kesh 1 soat |
| --- | --- | --- | --- | --- | --- | --- |
| So‘rov hajmi, tokenlarda(0; 200 000\] | Kirish0,00125 US$ | Chiqish0,01 US$ | Keshdan o‘qish0,000125 US$ | Keshga yozishAsosiy: — | Kesh 5 daqiqaAsosiy: — | Kesh 1 soatAsosiy: — |
| So‘rov hajmi, tokenlarda(200 000; ∞) | Kirish0,0025 US$ | Chiqish0,015 US$ | Keshdan o‘qish0,00025 US$ | Keshga yozishAsosiy: — | Kesh 5 daqiqaAsosiy: — | Kesh 1 soatAsosiy: — |

1K token uchun USD tariflari. Tarif belgilanmagan bo‘lsa, ushbu usulning asosiy tarifi qo‘llanadi; «—» asosiy tarif belgilanmaganini bildiradi.

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

#### Ma’lumot uchun tarif tafsilotlari

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

Modelning ma’lumot jadvallari

#### Sozlamalar bo‘yicha narxlar

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

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaOpenAI Chat · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token Chiqish · Mantiqiy fikrlashning chiqish tokenlari **$0.02** / 1K token |
| SozlamaOpenAI Chat · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi200 000 | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaOpenAI Chat · So‘rov uzunligi bo‘yicha 2-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p200 000 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.005** / 1K token Chiqish · Chiqish tokenlari **$0.03** / 1K token Kirish · Keshdan o‘qish **$0.0005** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · Tokenlar uchun asosiy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token Chiqish · Mantiqiy fikrlashning chiqish tokenlari **$0.02** / 1K token |
| SozlamaAnthropic Messages · So‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi200 000 | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaAnthropic Messages · So‘rov uzunligi bo‘yicha 2-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p200 000 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.005** / 1K token Chiqish · Chiqish tokenlari **$0.03** / 1K token Kirish · Keshdan o‘qish **$0.0005** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

### So‘rov namunalari

#### Ailoot · Gemini generateContent

Matn namunasiKirish, rasmPython 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('{"contents": []}')
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["contents"]=[{"role":"user","parts":[{"text":"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/v1beta/models/gemini-2.5-pro:generateContent \
  -H "x-goog-api-key: $AILOOT_API_KEY" -H 'Content-Type: application/json' \
  --data-binary @request.json -D response-headers.txt -o result.json
python3 - <<'PY_RESULT'
import base64, json
from pathlib import Path

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

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

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
: "${AILOOT_IMAGE_FILE:?Set your actual PNG JPEG or WebP image}"
export AILOOT_IMAGE_FILE
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"contents": [{"role": "user", "parts": [{"text": "Read labels and numbers in this image; flag unreadable text."}]}]}')
import base64
f=Path(os.environ["AILOOT_IMAGE_FILE"])
if not f.is_file():raise SystemExit("Choose an actual PNG JPEG or WebP image")
raw=f.read_bytes()
mime="image/png" if raw.startswith(b"\x89PNG\r\n\x1a\n") else "image/jpeg" if raw.startswith(b"\xff\xd8") else "image/webp" if raw[:4]==b"RIFF" and raw[8:12]==b"WEBP" else None
if not mime:raise SystemExit("Use PNG JPEG or WebP")
b64=base64.b64encode(raw).decode()
p["contents"][0]["parts"].append({"inlineData":{"mimeType":mime,"data":b64}})
Path("request.json").write_text(json.dumps(p,ensure_ascii=False))
PY_REQUEST
curl --fail-with-body --silent --show-error https://api.ailoot.ai/v1beta/models/gemini-2.5-pro:generateContent \
  -H "x-goog-api-key: $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 google import genai
from google.genai import types
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client = genai.Client(
    api_key=os.environ["AILOOT_API_KEY"],
    http_options=types.HttpOptions(base_url="https://api.ailoot.ai"),
)
resp = client.models.generate_content(model="gemini-2.5-pro", contents="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_json_dict())
```

```js
import { GoogleGenAI } from "@google/genai";

if (!process.env.AILOOT_API_KEY?.trim()) throw new Error("Set AILOOT_API_KEY before making a request");
const ai = new GoogleGenAI({ apiKey: process.env.AILOOT_API_KEY, httpOptions: { baseUrl: "https://api.ailoot.ai" } });
const resp = await ai.models.generateContent({ model: "gemini-2.5-pro", contents: "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 google import genai
from google.genai import types
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=genai.Client(api_key=os.environ["AILOOT_API_KEY"],http_options=types.HttpOptions(base_url="https://api.ailoot.ai"))
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))

count=0
with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
    for chunk in client.models.generate_content_stream(model='gemini-2.5-pro',contents="Explain observations and hypotheses in three sentences."):
        payload=chunk.to_json_dict()
        log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
        save_result(payload,"stream-chunk-"+str(count))
        count+=1
```

### Natijalarni olish va saqlash

#### Ailoot · Gemini generateContent

json yoki qo‘llab-quvvatlanadigan oqimli uzatish

##### Barcha tayyor natijalarni saqlash

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

Funksiya chaqiruvlari, fikrlash imzolari va sarf ma’lumotlari bilan birga barcha nomzod javoblar va qismlarni saqlang; oqim qismlarini tartib bilan yig‘ing.

##### 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`responseId` | Turstring |
| Maydon`modelVersion` | Turstring |
| Maydon`candidates[].content.parts[]` | Turtext\|inlineData\|functionCall\|other part |
| Maydon`candidates[].finishReason` | Turstring |
| Maydon`usageMetadata` | 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> [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro&fmt=gemini)
**Ailoot Ultra** [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro), [`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro&fmt=gemini), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro)

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `gemini-2.5-pro`

[`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=chat)

Google /`gemini-2.5-pro`

Model ID

- `gemini-2.5-pro`
- `google/gemini-2.5-pro`

### Boshlash

Gemini 2.5 Pro — Google’ning murakkab kod, matematika, STEM va uzun kontekstli tahlil uchun barqaror fikrlash modeli. U matn, tasvir, audio, video va PDF qabul qilib, vositalar va tuzilgan chiqish bilan matn qaytaradi. Uning dinamik mulohaza limiti 128–32,768 tokenni qo‘llab-quvvatlaydi va uni to‘liq o‘chirib bo‘lmaydi.

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 gemini-2.5-pro | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar Elementlarning eng kam soni: 1 | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`messages[].content` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Matnli suhbat | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`messages[].content`

Usul parametrlari va hayot sikli

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

Usul taxalluslari: `/chat/completions`

Hayot sikli: `synchronous_or_streamed`

Aniq model IDsini messages bilan yuboring.

Kontekst uzunligi chiqishning yuqori chegarasi emas.

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

### Tariflar

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

Tezkor rejim

Standart tarif Tezkor rejim tanlanganda

Flex rejimi

Standart tarif flex rejimi tanlanganda

Maksimal fikrlash darajasi

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

Ochiq ko‘rsatilgan keshlash narxlari

Yoqilmagan Ochiq ko‘rsatilgan keshlash so‘ralganda

Mulohaza yuritish chiqishi

Mulohaza yuritish uchun jamlangan chiqish ichida ko‘rsatilgan qism tarifi ishlatiladi; bu tokenlarni ikki marta qo‘shmang. Chiqishga mulohaza yuritish tokenlari kirganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

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

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token Chiqish · Mantiqiy fikrlashning chiqish tokenlari **$0.02** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi200 000 | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 2-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p200 000 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.005** / 1K token Chiqish · Chiqish tokenlari **$0.03** / 1K token Kirish · Keshdan o‘qish **$0.0005** / 1K token Kirish · Keshga yozish **$0.00075** / 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":"gemini-2.5-pro","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="gemini-2.5-pro", 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> [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro)
**Ailoot Ultra** [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=chat), [`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=chat)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=chat), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `gemini-2.5-pro`

[`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=messages)

Google /`gemini-2.5-pro`

Model ID

- `gemini-2.5-pro`
- `google/gemini-2.5-pro`

### Boshlash

Gemini 2.5 Pro — Google’ning murakkab kod, matematika, STEM va uzun kontekstli tahlil uchun barqaror fikrlash modeli. U matn, tasvir, audio, video va PDF qabul qilib, vositalar va tuzilgan chiqish bilan matn qaytaradi. Uning dinamik mulohaza limiti 128–32,768 tokenni qo‘llab-quvvatlaydi va uni to‘liq o‘chirib bo‘lmaydi.

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 gemini-2.5-pro | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar user, assistant | Standart— |
| Maydon`messages[].content` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |

Kirish materiallari birikmalari

**Matn** · UTF-8 matni

`messages[].content satri`

Usul parametrlari va hayot sikli

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

Hayot sikli: `synchronous_or_streamed`

### Tariflar

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

Tezkor rejim

Standart tarif Tezkor rejim tanlanganda

Flex rejimi

Standart tarif flex rejimi tanlanganda

Maksimal fikrlash darajasi

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

Ochiq ko‘rsatilgan keshlash narxlari

Yoqilmagan Ochiq ko‘rsatilgan keshlash so‘ralganda

Mulohaza yuritish chiqishi

Mulohaza yuritish uchun jamlangan chiqish ichida ko‘rsatilgan qism tarifi ishlatiladi; bu tokenlarni ikki marta qo‘shmang. Chiqishga mulohaza yuritish tokenlari kirganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

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

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token Chiqish · Mantiqiy fikrlashning chiqish tokenlari **$0.02** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi200 000 | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 2-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p200 000 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.005** / 1K token Chiqish · Chiqish tokenlari **$0.03** / 1K token Kirish · Keshdan o‘qish **$0.0005** / 1K token Kirish · Keshga yozish **$0.00075** / 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": "gemini-2.5-pro",
  "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': 'gemini-2.5-pro', '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': 'gemini-2.5-pro', '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> [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro&fmt=messages)
**Ailoot Ultra** [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=messages), [`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=messages)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=messages), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro&fmt=messages), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=messages)

**Ailoot Ultra · OpenAI Chat** `POST /v1/chat/completions` `google/gemini-2.5-pro`

[`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=chat)

Google /`google/gemini-2.5-pro`

Model ID

- `gemini-2.5-pro`
- `google/gemini-2.5-pro`

### Boshlash

Gemini 2.5 Pro — Google’ning murakkab kod, matematika, STEM va uzun kontekstli tahlil uchun barqaror fikrlash modeli. U matn, tasvir, audio, video va PDF qabul qilib, vositalar va tuzilgan chiqish bilan matn qaytaradi. Uning dinamik mulohaza limiti 128–32,768 tokenni qo‘llab-quvvatlaydi va uni to‘liq o‘chirib bo‘lmaydi.

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 google/gemini-2.5-pro | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar Elementlarning eng kam soni: 1 | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Namunalar: system, user, assistant, tool, function Shartlar: Bu rollar manba kodining moslik turlarida ochiq ifodalangan; aniq rollar to‘plami har bir modelga xos bo‘lib qoladi. Modelga bogʻliq | Standart— |
| Maydon`messages[].content` | Tur`string\|content_part[]\|null` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_calls` | Tur`tool_call[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].tool_call_id` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: role=tool; haqiqatan qaytarilgan IDdan foydalaning | Standart— |
| Maydon`messages[].name` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].reasoning_content` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Ushbu model foydalanganda, haqiqatan qaytarilgan fikrlash ma’lumotlarini keyingi so‘rovda qayta yuboring | Standart— |
| Maydon`messages[].reasoning_details` | Tur`object\|array` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`max_completion_tokens` | Tur`integer` | TalabIxtiyoriy | Qiymatlar va cheklovlar Eng kam: 1 Modelga bogʻliq | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |
| Maydon`stream_options.include_usage` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`temperature` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`top_p` | Tur`number` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`stop` | Tur`string\|string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools` | Tur`function_tool[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`tools[].type` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar function Modelga bogʻliq | Standart— |
| Maydon`tools[].function.name` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar Quyidagi holatda qo‘llanadi: Funksiya vositasi taqdim etilgan | Standart— |
| Maydon`tools[].function.description` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tools[].function.parameters` | Tur`JSON_schema` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standart— |
| Maydon`tool_choice` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`parallel_tool_calls` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`response_format` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning_effort` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`reasoning` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`service_tier` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`instructions` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Moslik maydoni | Standart— |
| Maydon`functions` | Tur`function[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`function_call` | Tur`string\|object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`prompt_cache_options` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Modelga bogʻliq | Standart— |
| Maydon`modalities` | Tur`string[]` | TalabIxtiyoriy | Qiymatlar va cheklovlar text | Standart— |
| Maydon`provider` | Tur`object` | TalabIxtiyoriy | Qiymatlar va cheklovlar Shartlar: Ushbu Ultra matn marshrutida provider.options rad etiladi | Standart— |
| Maydon`cache_control.ttl` | Tur`string` | TalabIxtiyoriy | Qiymatlar va cheklovlar Shartlar: Haqiqiy prompt-kesh joylarida 1h rad etiladi | Standart— |

Kirish materiallari birikmalari

**Matn** · UTF8 matni

`messages[].content`

Usul parametrlari va hayot sikli

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

Hayot sikli: `synchronous_or_streamed`

Aniq model IDsini messages bilan yuboring.

Kontekst uzunligi chiqishning yuqori chegarasi emas.

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

### Tariflar

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

Tezkor rejim

Standart tarif Tezkor rejim tanlanganda

Flex rejimi

Standart tarif flex rejimi tanlanganda

Maksimal fikrlash darajasi

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

Ochiq ko‘rsatilgan keshlash narxlari

Yoqilmagan Ochiq ko‘rsatilgan keshlash so‘ralganda

Mulohaza yuritish chiqishi

Mulohaza yuritish uchun jamlangan chiqish ichida ko‘rsatilgan qism tarifi ishlatiladi; bu tokenlarni ikki marta qo‘shmang. Chiqishga mulohaza yuritish tokenlari kirganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

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

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token Chiqish · Mantiqiy fikrlashning chiqish tokenlari **$0.02** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi200 000 | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 2-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p200 000 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.005** / 1K token Chiqish · Chiqish tokenlari **$0.03** / 1K token Kirish · Keshdan o‘qish **$0.0005** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |

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

### So‘rov namunalari

#### Ailoot Ultra · OpenAI Chat

curlPython SDKPython oqimi

```bash
set -eu
: "${AILOOT_API_KEY:?Set your Ailoot API key}"
python3 - <<'PY_REQUEST'
import json,os
from pathlib import Path
p=json.loads('{"model": "google/gemini-2.5-pro", "messages": [{"role": "user", "content": "Explain the difference between an observation and a hypothesis in three sentences."}]}')

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

```python
from openai import OpenAI
import os

if not os.environ.get("AILOOT_API_KEY", "").strip(): raise SystemExit("Set AILOOT_API_KEY before making a request")
client=OpenAI(base_url="https://api.ailoot.ai/v1",api_key=os.environ["AILOOT_API_KEY"],max_retries=0)
result=client.chat.completions.create(model='google/gemini-2.5-pro',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}])
import base64, json
from pathlib import Path

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

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

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

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

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

with client.chat.completions.stream(model='google/gemini-2.5-pro',messages=[{"role":"user","content":"Explain observations and hypotheses in three sentences."}]) as stream:
    with Path("stream-events.jsonl").open("w",encoding="utf-8") as log:
        for event in stream:
            payload=event.to_dict(mode="json")
            log.write(json.dumps(payload,ensure_ascii=False)+"\n"); log.flush()
            print(json.dumps(payload,ensure_ascii=False))
    final=stream.get_final_completion()
    save_result(final.to_dict(mode="json"),"stream-result")
```

### Natijalarni olish va saqlash

#### Ailoot Ultra · OpenAI Chat

json yoki SSE

##### Barcha tayyor natijalarni saqlash

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

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

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

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

Javob maydonlari

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

Xatolar va keyingi qadamlar

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

### Taxalluslar

#### Model taxalluslari

<strong>Ailoot</strong> [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro)
**Ailoot Ultra** [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=chat), [`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=chat)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=chat), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=chat)

**Ailoot Ultra · Anthropic Messages** `POST /v1/messages` `google/gemini-2.5-pro`

[`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=messages)

Google /`google/gemini-2.5-pro`

Model ID

- `gemini-2.5-pro`
- `google/gemini-2.5-pro`

### Boshlash

Gemini 2.5 Pro — Google’ning murakkab kod, matematika, STEM va uzun kontekstli tahlil uchun barqaror fikrlash modeli. U matn, tasvir, audio, video va PDF qabul qilib, vositalar va tuzilgan chiqish bilan matn qaytaradi. Uning dinamik mulohaza limiti 128–32,768 tokenni qo‘llab-quvvatlaydi va uni to‘liq o‘chirib bo‘lmaydi.

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 google/gemini-2.5-pro | Standart— |
| Maydon`messages` | Tur`message[]` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`messages[].role` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar user, assistant | Standart— |
| Maydon`messages[].content` | Tur`string` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`max_tokens` | Tur`integer` | TalabMajburiy | Qiymatlar va cheklovlar | Standart— |
| Maydon`stream` | Tur`boolean` | TalabIxtiyoriy | Qiymatlar va cheklovlar | Standartfalse |

Kirish materiallari birikmalari

**Matn** · UTF-8 matni

`messages[].content satri`

Usul parametrlari va hayot sikli

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

Hayot sikli: `synchronous_or_streamed`

### Tariflar

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

Tezkor rejim

Standart tarif Tezkor rejim tanlanganda

Flex rejimi

Standart tarif flex rejimi tanlanganda

Maksimal fikrlash darajasi

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

Ochiq ko‘rsatilgan keshlash narxlari

Yoqilmagan Ochiq ko‘rsatilgan keshlash so‘ralganda

Mulohaza yuritish chiqishi

Mulohaza yuritish uchun jamlangan chiqish ichida ko‘rsatilgan qism tarifi ishlatiladi; bu tokenlarni ikki marta qo‘shmang. Chiqishga mulohaza yuritish tokenlari kirganda

#### Ailoot tariflari

#### Sozlamalar bo‘yicha narxlar

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

| Sozlama | Tariflar jadvali | Kontekst tokenlari soni bundan ko‘p | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi | To‘lov |
| --- | --- | --- | --- | --- |
| SozlamaTokenlar uchun bazaviy tariflar | Tariflar jadvaliAsosiy tarif | Kontekst tokenlari soni bundan ko‘p— | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token Chiqish · Mantiqiy fikrlashning chiqish tokenlari **$0.02** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 1-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p0 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradi200 000 | To‘lov Kirish · Kirish tokenlari **$0.0025** / 1K token Chiqish · Chiqish tokenlari **$0.02** / 1K token Kirish · Keshdan o‘qish **$0.00025** / 1K token Kirish · Keshga yozish **$0.00075** / 1K token Kirish · Keshga yozish, 1 soat **—** / 1K token |
| SozlamaSo‘rov uzunligi bo‘yicha 2-daraja | Tariflar jadvali— | Kontekst tokenlari soni bundan ko‘p200 000 | Kontekst tokenlari soni bundan oshmaydi, chegara kiradiYuqori chegara yo‘q | To‘lov Kirish · Kirish tokenlari **$0.005** / 1K token Chiqish · Chiqish tokenlari **$0.03** / 1K token Kirish · Keshdan o‘qish **$0.0005** / 1K token Kirish · Keshga yozish **$0.00075** / 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": "google/gemini-2.5-pro",
  "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': 'google/gemini-2.5-pro', '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': 'google/gemini-2.5-pro', '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> [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro&fmt=messages)
**Ailoot Ultra** [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=messages), [`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=messages)

#### Usul yo‘llari taxalluslari

`/chat/completions`

#### Chaqirish uchun tegishli ID lar

[`google/gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=google%2Fgemini-2.5-pro&fmt=messages), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Core&caller=gemini-2.5-pro&fmt=messages), [`gemini-2.5-pro`](https://ailoot.ai/models/uz/#m=google%2Fgemini-2.5-pro&route=Ultra&caller=gemini-2.5-pro&fmt=messages)

FAQ · Google: Gemini 2.5 Pro

Qanday kirish ma’lumotlari va natijalar mavjud?

`POST /v1/messages` · `gemini-2.5-pro`: `text`, `image` → `text` `POST /v1beta/models/{model}:generateContent` · `gemini-2.5-pro`: `text`, `image` → `text` `POST /v1/chat/completions` · `gemini-2.5-pro`: `text` → `text` `POST /v1/messages` · `gemini-2.5-pro`: `text` → `json`, `sse` `POST /v1/chat/completions` · `google/gemini-2.5-pro`: `text` → `text` `POST /v1/messages` · `google/gemini-2.5-pro`: `text` → `json`, `sse`

So‘rov qaysi maydonlardan foydalanadi?

`POST /v1/messages` · `gemini-2.5-pro`: `model`, `messages`, `system`, `max_tokens`, `stream`, `metadata` `POST /v1beta/models/{model}:generateContent` · `gemini-2.5-pro`: `contents`, `systemInstruction`, `sessionId` `POST /v1/chat/completions` · `gemini-2.5-pro`: `model`, `messages`, `stream` `POST /v1/messages` · `gemini-2.5-pro`: `model`, `messages`, `max_tokens`, `stream` `POST /v1/chat/completions` · `google/gemini-2.5-pro`: `model`, `messages`, `stream`, `modalities`, `provider` `POST /v1/messages` · `google/gemini-2.5-pro`: `model`, `messages`, `max_tokens`, `stream`

Qanday cheklovlar amal qiladi?

`POST /v1/messages` · `gemini-2.5-pro`: `ctx`: `1048576`; `max_out`: `65536`; `messages.min_items`: `1`; `max_tokens.minimum`: `1` `POST /v1beta/models/{model}:generateContent` · `gemini-2.5-pro`: `ctx`: `1048576`; `max_out`: `65536`; `contents.min_items`: `1` `POST /v1/chat/completions` · `gemini-2.5-pro`: `messages.min_items`: `1` `POST /v1/chat/completions` · `google/gemini-2.5-pro`: `messages.min_items`: `1`

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

## Kompaniya va uning loyihalar portfeli

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## Tokenlarni chegirma bilan xarid qiling.

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Obuna

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[Obuna tanlash](https://ailoot.ai/docs/uz/billing/subscriptions/) · [Model narxlarini ko‘rish](https://ailoot.ai/models/uz/)

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Tijorat ilovasi

Xizmatingizning pullik funksiyalariga matn, rasm, video va ovoz yaratishni qo‘shing.

Reseller litsenziyasi

Loyiha tavsifi va kirish sxemasini yuboring. Foydalanish va qayta sotishga yozma shartlarni so‘rang.

Saytdagi hujjatlar

Oferta, litsenziya shartnomasi va ma’lumotlar siyosati ulashdan oldin ochiq.

[Reseller litsenziyasini so‘rash](mailto:support@ailoot.ai) · [Oferta va litsenziya shartnomasi](https://ailoot.ai/legal/offer?lang=uz)

## Ailoot · Kompaniya va uning loyihalar portfeli





Ailoot to‘plangan faoliyat tajribasi, keng mijozlar bazasi, barqaror xizmat va doimiy KPI nazoratiga tayanadi.





Kompaniya va uning loyihalar portfeli: millionlab mijozlar; oylik sotuvlar hajmi milliardlarda.





Ailoot bu faoliyat tajribasini mijozlar mahsulotlari, agentlar, ilovalar va avtomatlashtirishlarda AI imkoniyatlariga API orqali kirishni ta’minlashda qo‘llaydi.