Source: https://ailoot.ai/docs/uz/connect/google-genai/
Canonical: https://ailoot.ai/docs/uz/connect/google-genai/
Language: uz

[Ulanish](https://ailoot.ai/docs/uz/) 

# Google GenAI SDK

[Markdown](https://ailoot.ai/docs/uz/connect/google-genai/index.md)

Gemini’ning o‘z formati: Python va JavaScript uchun Google GenAI SDK’si va bevosita REST so‘rovlari.

## [](https://ailoot.ai/docs/uz/connect/google-genai/#install)O‘rnatish

```bash
pip install google-genai
```

```bash
npm install @google/genai
```

## [](https://ailoot.ai/docs/uz/connect/google-genai/#client)Ulanish

Manzil — `https://api.ailoot.ai` quyidagisiz `/v1beta`: SDK quyidagi yo‘lni yig‘adi: `/v1beta/models/<model>:generateContent` o‘zi. Python’da manzil quyidagicha beriladi: `HttpOptions(base_url=…)`, JavaScript’da esa quyidagicha: `httpOptions.baseUrl`. SDK kalitni quyidagi sarlavhada yuboradi: `x-goog-api-key`.

```python
from google import genai
from google.genai import types
import os

client = genai.Client(
    api_key=os.environ["AILOOT_API_KEY"],
    http_options=types.HttpOptions(base_url="https://api.ailoot.ai"),  # /v1beta’siz
)

resp = client.models.generate_content(
    model="gemini-3.8-flash",
    contents="Qahvaxona uchun uchta nom o‘ylab toping.",
)
print(resp.text)
```

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

const ai = new GoogleGenAI({
  apiKey: process.env.AILOOT_API_KEY,
  httpOptions: { baseUrl: "https://api.ailoot.ai" }, // /v1beta’siz
});

const resp = await ai.models.generateContent({
  model: "gemini-3.8-flash",
  contents: "Qahvaxona uchun uchta nom o‘ylab toping.",
});
console.log(resp.text);
```

```bash
curl "https://api.ailoot.ai/v1beta/models/gemini-3.8-flash:generateContent" \
  -H "x-goog-api-key: $AILOOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "contents": [
      {"role": "user", "parts": [{"text": "Qahvaxona uchun uchta nom o‘ylab toping."}]}
    ]
  }' 
```

## [](https://ailoot.ai/docs/uz/connect/google-genai/#body)Nimalarni yuborish mumkin

- Yuqori darajadagi maydonlar: `contents`, `systemInstruction`, `generationConfig`, `safetySettings`, `tools` va `toolConfig`.
- `generationConfig` qabul qiladi: `temperature`, `topP`, `topK`, `maxOutputTokens`, `thinkingConfig`, `responseMimeType` (`text/plain` yoki `application/json`), `responseSchema` yoki `responseJsonSchema` (JSON obyekt), `stopSequences` (satrlar massivi), `candidateCount: 1`, butun sonli `seed`, sonli `presencePenalty` va `frequencyPenalty`. Ruxsat etilgan oraliqlar va imkoniyatlar aniq modelga bog‘liq; JSON javob uchun qo‘llab-quvvatlanadigan sxema shakllaridan bittasini va quyidagini tanlang: `application/json`. Matn modellarida `responseModalities` — faqat `["TEXT"]`.
- `safetySettings` — quyidagi maydonli obyektlar massivi: `category`, `threshold` va ixtiyoriy maydon: `method`; qiymatlarni aynan shu model hujjatlariga qarab tanlang.
- Tegishli kirish turini qo‘llab-quvvatlaydigan Gemini modellarida `parts[].inlineData` quyidagini o‘z ichiga oladi: `mimeType` va bo‘sh bo‘lmagan base64 ma’lumotlar; PDF haqiqiy PDF bo‘lishi kerak. `fileData` quyidagilarni o‘z ichiga oladi: ochiq `https`-manzilni quyidagi maydonda: `fileUri` va fayl turining MIME qiymatini. YouTube uchun MIME’ni ko‘rsatmaslik mumkin. `http`, yopiq manzillar, `gs://` va Google Files API obyektlari qo‘llab-quvvatlanmaydi; Google Files API orqali yuklash ham qo‘llab-quvvatlanmaydi. Video uchun quyidagini qo‘shish mumkin: `videoMetadata`: `startOffset`/`endOffset` soniyalardagi satr ko‘rinishida (masalan, `1.5s`) va `fps` 0 dan katta va 24 dan katta emas. Tana hajmi, kontekst, ruxsat etilgan kirish va javob limiti model hamda format bo‘yicha tekshiriladi.
- Mijoz tomonidagi `functionDeclarations` ni ilovangiz bajaradi. Matn modellarida quyidagilar ham qabul qilinadi: `{"googleSearch": {}}` va `{"urlContext": {}}`: alohida yoki birga quyidagi massivda: `tools`. Google Search ham, URL context ham quyidagisi bilan birga ishlatilmaydi: `functionDeclarations` bitta so‘rovda. Chiqishda rasmlar uchun faqat mijoz funksiyalari mavjud. Boshqa ichki vositalar va explicit cache qo‘llab-quvvatlanmaydi. Search/URL context to‘liq kirish limiti uchun zaxira talab qilishi mumkin; haqiqiy `toolUsePromptTokenCount` kirish tokenlari sifatida hisobga olinadi.
- Model maydonni, ilovani yoki vositalar birikmasini qo‘llab-quvvatlamasa, so‘rov zaxiradan oldin rad etiladi — hech narsa yechib olinmaydi. HTTP kodi quyidagicha bo‘ladi: `400` quyidagi qiymat bilan: `status` `INVALID_ARGUMENT` va quyidagi sinf bilan: `invalid_request` (quyidagi maydonda: `ErrorInfo.reason` — `INVALID_REQUEST`). Noto‘g‘ri JSON, yo‘l parametrlari xatolari va boshqa tekshiruvlar ham quyidagi kodni qaytaradi: `400`; xato matni va Request ID’ni o‘qing. Imkoniyatlar modelga bog‘liq: uning formatlari va kirishlarini katalogda tekshiring.

| Kirish | Qo‘llab-quvvatlanadigan MIME |
| --- | --- |
| Inline rasmlar | image/png, image/jpeg, image/webp |
| Hujjatlar | application/pdf; text/plain, text/html, text/css, text/csv, text/xml, text/rtf, text/markdown, text/javascript, application/x-javascript, text/x-python, application/x-python |
| Audio | audio/wav, audio/mp3, audio/mpeg, audio/aiff, audio/aac, audio/ogg, audio/flac |
| Video | video/mp4, video/mpeg, video/mov, video/quicktime, video/avi, video/x-flv, video/mpg, video/webm, video/wmv, video/3gpp |

```python
import json, os, urllib.request

def generate(model, payload):
    req = urllib.request.Request(
        "https://api.ailoot.ai/v1beta/models/" + model + ":generateContent",
        data=json.dumps(payload).encode(),
        headers={"x-goog-api-key": os.environ["AILOOT_API_KEY"],
                 "Content-Type": "application/json"},
    )
    # Bir marta yuboring. Kutish vaqti tugasa, qayta urinishdan oldin foydalanish tarixidagi Request ID ni tekshiring.
    with urllib.request.urlopen(req, timeout=300) as response:
        print("Request ID:", response.headers.get("X-Request-ID"))
        return json.load(response)

import base64, pathlib, sys

# Haqiqiy mahalliy PDF, audio yoki video faylini va unga mos MIME turini ko‘rsating.
path, mime = pathlib.Path(sys.argv[1]), sys.argv[2]
payload = {"contents": [{"role": "user", "parts": [
    {"text": "Fayl mazmunini qisqacha bayon qiling."},
    {"inlineData": {"mimeType": mime,
                    "data": base64.b64encode(path.read_bytes()).decode()}},
]}]}
print(generate("gemini-3.8-flash", payload))
# Muqobil biriktirma: {"fileData": {"mimeType": mime, "fileUri": public_https_url}}
# Haqiqiy YouTube URL uchun: {"fileData": {"fileUri": youtube_url}}
```

## [](https://ailoot.ai/docs/uz/connect/google-genai/#function-loop)Funksiyaning to‘liq sikli

Funksiya e’lonini yuboring, functionCall’ni oling, o‘z funksiyangizni bajaring, functionResponse’ni qaytaring va keyingi javobni so‘rang. Modelning butun content’ini, jumladan thoughtSignature’ni saqlang; imzoni o‘zingiz yaratmang.

```python
import json, os, urllib.request

def generate(model, payload):
    req = urllib.request.Request(
        "https://api.ailoot.ai/v1beta/models/" + model + ":generateContent",
        data=json.dumps(payload).encode(),
        headers={"x-goog-api-key": os.environ["AILOOT_API_KEY"],
                 "Content-Type": "application/json"},
    )
    # Bir marta yuboring. Kutish vaqti tugasa, qayta urinishdan oldin foydalanish tarixidagi Request ID ni tekshiring.
    with urllib.request.urlopen(req, timeout=300) as response:
        print("Request ID:", response.headers.get("X-Request-ID"))
        return json.load(response)

tools = [{"functionDeclarations": [{
    "name": "multiply", "description": "Ikki sonni ko‘paytirish",
    "parameters": {"type": "object", "properties": {
        "a": {"type": "number"}, "b": {"type": "number"}},
        "required": ["a", "b"]},
}]}]
contents = [{"role": "user", "parts": [{"text": "Funksiya yordamida 7 ni 8 ga ko‘paytiring"}]}]
for turn in range(4):  # Vosita siklini cheklang; natijasi noaniq so‘rovni qayta yubormang.
    reply = generate("gemini-3.8-flash", {"contents": contents, "tools": tools})
    content = reply["candidates"][0]["content"]
    contents.append(content)  # BARCHA asl parts va thoughtSignature qiymatlarini o‘zgartirmasdan saqlang.
    results = []
    for part in content.get("parts", []):
        call = part.get("functionCall")
        if not call:
            continue
        if call["name"] != "multiply":
            raise ValueError("Unexpected function")
        args = call["args"]
        result = {"name": call["name"], "response": {"value": args["a"] * args["b"]}}
        if "id" in call:
            result["id"] = call["id"]
        results.append({"functionResponse": result})
    if not results:
        print(content)
        break
    contents.append({"role": "user", "parts": results})
else:
    raise RuntimeError("Tool loop limit reached")
```

## [](https://ailoot.ai/docs/uz/connect/google-genai/#stream)Oqimli javob

```python
for chunk in client.models.generate_content_stream(
    model="gemini-3.8-flash",
    contents="Dengiz ustidagi quyosh botishini tasvirlang",
):
    print(chunk.text, end="", flush=True)
```

```bash
curl -N "https://api.ailoot.ai/v1beta/models/gemini-3.8-flash:streamGenerateContent?alt=sse" \
  -H "x-goog-api-key: $AILOOT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"contents": [{"role": "user", "parts": [{"text": "Dengiz ustidagi quyosh botishini tasvirlang"}]}]}' 
```

Ailoot pullik Gemini javobini narx hisoblangach qaytaradi: oqimdagi matn model ishini tugatgach so‘zma-so‘z emas, to‘liq keladi. Gemini oqimida xizmat satrlari yo‘q, shuning uchun uzoq javoblar uchun mijoz dasturi taymautini yetarli zaxira bilan belgilang.

## [](https://ailoot.ai/docs/uz/connect/google-genai/#models)Mavjud modellar

Gemini formatida 27 ta identifikator mavjud: `gemini-3.8-flash`, `gemini-3.1-pro`, `gemini-pro-agent`, `gemini-3.8-flash-tiered`, `gemini-3.8-flash-medium`, `gemini-3.8-flash-low`, `gemini-3.8-flash-high`, `gemini-3.7-flash`, `gemini-3.7-flash-tiered`, `gemini-3.7-flash-medium`, `gemini-3.7-flash-low`, `gemini-3.7-flash-high`, `gemini-3.6-flash`, `gemini-3.6-flash-tiered`, `gemini-3.6-flash-medium`, `gemini-3.6-flash-low`, `gemini-3.6-flash-high`, `gemini-3.5-flash-lite`, `gemini-3.1-pro-preview`, `gemini-3.1-pro-low`, `gemini-3.1-pro-high`, `gemini-3.1-flash-lite`, `gemini-3-flash`, `gemini-2.5-pro`, `gemini-2.5-flash`, `gemini-2.5-flash-thinking`, `gemini-2.5-flash-lite`.

Gemini modellari Anthropic Messages formatida ham mavjud — faqat shu formatni qo‘llab-quvvatlaydigan mijoz dasturlari uchun qulay: [Anthropic SDK](https://ailoot.ai/docs/uz/connect/anthropic-sdk/).

Savollaringiz qoldimi? Request ID va tavsifni yuboring — tushunishga yordam beramiz.[Yordam xizmatiga yozish](mailto:support@ailoot.ai)

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