Gemini API

توفّر Gemini API أسرع مسار من الطلب إلى الإنتاج باستخدام Gemini وVeo وNano Banana والمزيد. تتيح لك هذه الخدمة دمج النماذج التوليدية في تطبيقاتك لإنشاء النصوص والصور وتحليل المدخلات المتعددة الوسائط وإنشاء وكلاء محادثة.

Python

from google import genai

client = genai.Client()

response = client.models.generate_content(
    model="gemini-3.8-flash",
    contents="Explain how AI works in a few words",
)

print(response.text)

JavaScript

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

const ai = new GoogleGenAI({});

async function main() {
  const response = await ai.models.generateContent({
    model: "gemini-3.8-flash",
    contents: "Explain how AI works in a few words",
  });
  console.log(response.text);
}

await main();

Go

package main

import (
    "context"
    "fmt"
    "log"
    "google.golang.org/genai"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, nil)
    if err != nil {
        log.Fatal(err)
    }

    result, err := client.Models.GenerateContent(
        ctx,
        "gemini-3.8-flash",
        genai.Text("Explain how AI works in a few words"),
        nil,
    )
    if err != nil {
        log.Fatal(err)
    }
    fmt.Println(result.Text())
}

جافا

package com.example;

import com.google.genai.Client;
import com.google.genai.types.GenerateContentResponse;

public class GenerateTextFromTextInput {
  public static void main(String[] args) {
    Client client = new Client();

    GenerateContentResponse response =
        client.models.generateContent(
            "gemini-3.8-flash",
            "Explain how AI works in a few words",
            null);

    System.out.println(response.text());
  }
}

#C

using System.Threading.Tasks;
using Google.GenAI;
using Google.GenAI.Types;

public class GenerateContentSimpleText {
  public static async Task main() {
    var client = new Client();
    var response = await client.Models.GenerateContentAsync(
      model: "gemini-3.8-flash", contents: "Explain how AI works in a few words"
    );
    Console.WriteLine(response.Candidates[0].Content.Parts[0].Text);
  }
}

REST

curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-3.8-flash:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H 'Content-Type: application/json' \
  -X POST \
  -d '{
    "contents": [
      {
        "parts": [
          {
            "text": "Explain how AI works in a few words"
          }
        ]
      }
    ]
  }'

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