Google IO 2025 針對開發者的更新 part 1: GenAI SDK

新增支援 Java; 以及介紹如何呼叫 Gemini-2.5-flash-preview-05-20

May 27, 2025

前言

首先感謝 Google Developer Expert program 的贊助，以及 Google Developer Relations 的大力支持，讓我能夠前往現場，參與 Google IO 2025，並與產品開發團隊進行深入交流，了解更多更新與產品回饋。

在 Google IO 2025 大會上，Google 宣布了 GenAI SDK 的更新，包括：

新增 Java 官方支援

另外稍微研究一下，也將 Golang/JavaScript SDK 呼叫 Gemini-2.5-flash-preview-05-20 說明一下。

At Google IO 2025, Google announced updates to the GenAI SDK, including:

New Java support

I also tried and show how to call the latest Gemini 2.5 Flash model with Golang and JavaScript SDK.

主要更新

以下是本次 GenAI SDK 的重點更新內容：

新增 Java 支援

透過 Maven 新增 artifact id: `google-genai`

Add the following dependency to your Maven project:

<dependencies>

 <dependency>

 <groupId>com.google.genai</groupId>

 <artifactId>google-genai</artifactId>

 <version>1.0.0</version>

 </dependency>

</dependencies>

Related Repository: java-genai

Example: (參考自 GenerateContent.java)

使用 Gemini API

使用 Gemini API

export GOOGLE_API_KEY=YOUR_API_KEY

使用 Vertex AI API / Using Vertex AI API

export GOOGLE_CLOUD_PROJECT=${PROJECT_NAME}

export GOOGLE_CLOUD_LOCATION=${LOCATION}

export GOOGLE_GENAI_USE_VERTEXAI=true

範例:

package com.google.genai.examples;

import com.google.genai.Client;

import com.google.genai.types.GenerateContentResponse;

/** An example of using the Unified Gen AI Java SDK to generate content. */

public final class GenerateContent {

public static void main(String[] args) {

try {

Client client = new Client();

String backend = client.vertexAI() ? "Vertex AI" : "Gemini Developer API";

System.out.println("Using " + backend);

String modelId = "gemini-2.5-flash-preview-05-20";



System.out.println("Sending request to " + modelId + "...");

GenerateContentResponse response = client.models.generateContent(

 modelId,

"What is your name?",

null 

 );


if (response == null || response.text() == null) {

throw new IllegalStateException("Received invalid response from the API");

 }


System.out.println("Response: " + response.text());

System.out.println("Full response: " + response);

 } catch (Exception e) {


System.err.println("Error occurred: " + e.getMessage());

e.printStackTrace();

throw e;

 }

 }


private GenerateContent() {}

}

JavaScript → Gemini-2.5-flash-preview-05-20

Repo: js-genai

新版 `@google/genai` 是 Google DeepMind 為生成式 AI 功能開發的官方 JavaScript SDK。

This SDK (@google/genai) is Google Deepmind’s "vanilla" SDK for its generative AI offerings, and is where Google Deepmind adds new AI features.

JavaScript 函式庫: `@google/genai`, 舊版本 `@google/generative-ai` 的支援只到 2025 年 8 月.

安裝方法

npm install @google/genai

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

const ai = new GoogleGenAI({ apiKey: "GEMINI_API_KEY" });

async function main() {

const response = await ai.models.generateContent({

// model: "gemini-2.0-flash",

 model: "gemini-2.5-flash-preview-05-20",

 contents: "How does AI work?",

 });

console.log(response.text);

}

await main();

Golang → Gemini-2.5-flash-preview-05-20

與 Python, JavaScript SDK 一樣，原本的 SDK library 支援只到 2025 年 8 月。

Repo: go-genai

安裝

go get google.golang.org/genai

Import

import "google.golang.org/genai"

Gemini API Client

client, err := genai.NewClient(ctx, &genai.ClientConfig{

APIKey: apiKey,

Backend: genai.BackendGeminiAPI,

})

Vertex AI Client

client, err := genai.NewClient(ctx, &genai.ClientConfig{

Project: project,

Location: location,

Backend: genai.BackendVertexAI,

})

完整範例參考自 thinking_generation

import (

"context"

"fmt"

"log"

"os"

"strings"

"google.golang.org/genai"

)

// Define the thinking model centrally

const modelID = "gemini-2.5-flash-preview-05-20"

func main() {

ctx := context.Background()

client, err := genai.NewClient(ctx, &genai.ClientConfig{

APIKey: apiKey,

Backend: genai.BackendGeminiAPI,

 })

if err != nil {

log.Fatal(err)

 }

defer client.Close()

model := client.Model(modelID)

response, err := model.GenerateContent(ctx, "How does AI work?")

if err != nil {

log.Fatal(err)

 }

fmt.Println(response.Text)

}

References

Vertex AI SDK: https://cloud.google.com/vertex-ai/generative-ai/docs/sdks/overview?hl=zh-tw
Gemini API SDK: https://ai.google.dev/gemini-api/docs/libraries
Golang Examples: https://github.com/google-gemini/api-examples/tree/main/go