หากคุณเพิ่งเริ่มใช้ Gemini API Gemini Developer API คือ
ผู้ให้บริการ API ที่แนะนำสำหรับนักพัฒนาแอป Android แต่หากมีข้อกำหนดด้านตำแหน่งของข้อมูลที่เฉพาะเจาะจง หรือคุณอยู่ในสภาพแวดล้อม Vertex AI หรือ Google Cloud อยู่แล้ว คุณสามารถใช้ Vertex AI Gemini API ได้
การย้ายข้อมูลจาก Vertex AI ใน Firebase
หากเดิมคุณผสานรวมโมเดล Gemini Flash และ Pro โดยใช้ Vertex AI ใน Firebase คุณสามารถย้ายข้อมูลและใช้ Vertex AI ต่อไปในฐานะผู้ให้บริการ API ได้
อ่านเอกสารประกอบของ Firebase เพื่อดูคำแนะนำในการย้ายข้อมูลโดยละเอียด
เริ่มต้นใช้งาน
ก่อนที่จะโต้ตอบกับ Vertex AI Gemini API โดยตรงจากแอป คุณสามารถทดลองใช้พรอมต์ใน Vertex AI Studio ได้
dependencies{// ... other androidx dependencies// Import the BoM for the Firebase platformimplementation(platform("com.google.firebase:firebase-bom:34.1.0"))// Add the dependency for the Firebase AI Logic library. When using the BoM,// you don't specify versions in Firebase library dependenciesimplementation("com.google.firebase:firebase-ai")}
// Note: generateContent() is a suspend function, which integrates well// with existing Kotlin code.scope.launch{valresponse=model.generateContent("Write a story about a magic backpack.")}
Java
Contentprompt=newContent.Builder().addText("Write a story about a magic backpack.").build();ListenableFuture<GenerateContentResponse>response=model.generateContent(prompt);Futures.addCallback(response,newFutureCallback<GenerateContentResponse>(){@OverridepublicvoidonSuccess(GenerateContentResponseresult){StringresultText=result.getText();[...]}@OverridepublicvoidonFailure(Throwablet){t.printStackTrace();}},executor);
[[["เข้าใจง่าย","easyToUnderstand","thumb-up"],["แก้ปัญหาของฉันได้","solvedMyProblem","thumb-up"],["อื่นๆ","otherUp","thumb-up"]],[["ไม่มีข้อมูลที่ฉันต้องการ","missingTheInformationINeed","thumb-down"],["ซับซ้อนเกินไป/มีหลายขั้นตอนมากเกินไป","tooComplicatedTooManySteps","thumb-down"],["ล้าสมัย","outOfDate","thumb-down"],["ปัญหาเกี่ยวกับการแปล","translationIssue","thumb-down"],["ตัวอย่าง/ปัญหาเกี่ยวกับโค้ด","samplesCodeIssue","thumb-down"],["อื่นๆ","otherDown","thumb-down"]],["อัปเดตล่าสุด 2025-08-17 UTC"],[],[],null,["# Vertex AI Gemini API\n\n| **Note:** if you previously integrated Vertex AI in Firebase (with Gradle `import\n| com.google.firebase:vertex-ai`) you can continue using Vertex AI as an API provider with the Firebase AI Logic SDK.\n\nIf you are new to the Gemini API, the [Gemini Developer API](/ai/gemini-developer-api) is the\nrecommended [API provider](/ai/gemini#api-providers) for Android Developers. But if you have specific\ndata [location requirements](https://cloud.google.com/compute/docs/regions-zones) or you are already embedded in the\nVertex AI or Google Cloud environment, you can use the Vertex AI Gemini API.\n\nMigration from Vertex AI in Firebase\n------------------------------------\n\nIf you originally integrated the Gemini Flash and Pro models using Vertex AI in\nFirebase, you can migrate to and continue using Vertex AI as an API provider.\nRead the Firebase documentation for a detailed [migration guide](https://firebase.google.com/docs/vertex-ai/migrate-to-latest-sdk).\n\nGetting started\n---------------\n\nBefore you interact with the Vertex AI Gemini API directly from your app, you\ncan experiment with prompts in [Vertex AI Studio](https://console.cloud.google.com/vertex-ai/studio).\n\n### Set up a Firebase project and connect your app to Firebase\n\nOnce you're ready to call the Vertex AI Gemini API from your app, follow the\ninstructions in the \"Step 1\" Firebase AI Logic getting started guide to set up\nFirebase and the SDK in your app.\n\n### Add the Gradle dependency\n\nAdd the following Gradle dependency to your app module: \n\n dependencies {\n // ... other androidx dependencies\n\n // Import the BoM for the Firebase platform\n implementation(platform(\"com.google.firebase:firebase-bom:34.1.0\"))\n\n // Add the dependency for the Firebase AI Logic library. When using the BoM,\n // you don't specify versions in Firebase library dependencies\n implementation(\"com.google.firebase:firebase-ai\")\n }\n\n### Initialize the generative model\n\nStart by instantiating a `GenerativeModel` and specifying the model name: \n\n### Kotlin\n\n val model = Firebase.ai(backend = GenerativeBackend.vertexAI())\n .generativeModel(\"gemini-2.5-flash\")\n\n### Java\n\n GenerativeModel firebaseAI = FirebaseAI.getInstance(GenerativeBackend.vertexAI())\n .generativeModel(\"gemini-2.5-flash\");\n\n GenerativeModelFutures model = GenerativeModelFutures.from(firebaseAI);\n\nIn the Firebase documentation, you can learn more about the [available\nmodels](https://firebase.google.com/docs/vertex-ai/gemini-models) for use with the Gemini Developer API. You can also learn\nabout [configuring model parameters](https://firebase.google.com/docs/vertex-ai/model-parameters?platform=android).\n\n### Generate text\n\nTo generate a text response, call `generateContent()` with your prompt. \n\n### Kotlin\n\n // Note: generateContent() is a suspend function, which integrates well\n // with existing Kotlin code.\n scope.launch {\n val response = model.generateContent(\"Write a story about a magic backpack.\")\n }\n\n### Java\n\n Content prompt = new Content.Builder()\n .addText(\"Write a story about a magic backpack.\")\n .build();\n\n ListenableFuture\u003cGenerateContentResponse\u003e response = model.generateContent(prompt);\n Futures.addCallback(response, new FutureCallback\u003cGenerateContentResponse\u003e() {\n @Override\n public void onSuccess(GenerateContentResponse result) {\n String resultText = result.getText();\n [...]\n }\n\n @Override\n public void onFailure(Throwable t) {\n t.printStackTrace();\n }\n }, executor);\n\nSimilar to the Gemini Developer API, you can also pass images, audio, video and\nfiles with your text prompt (see \"Interact [with the Gemini Developer API from\nyour app\"](/ai/gemini/developer-api#interact-gemini)).\n\nTo learn more about Firebase AI Logic SDK, read the [Firebase documentation](https://firebase.google.com/docs/vertex-ai/get-started?platform=android)."]]
