Gemini API

Gemini API adalah jalur tercepat dari perintah ke tahap produksi dengan Gemini, Veo, Nano Banana, dan lainnya. API ini memungkinkan Anda mengintegrasikan model generatif ini ke dalam aplikasi untuk membuat teks dan gambar, menganalisis input multimodal, dan membuat agen percakapan.

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())
}

Java

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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