システム命令を使用してモデルの動作を制御する

コレクションでコンテンツを整理 必要に応じて、コンテンツの保存と分類を行います。

import FirebaseAI

// Initialize the Gemini Developer API backend service
// Create an `GenerativeModel` instance and add system instructions to its config
let model = FirebaseAI.firebaseAI(backend: .googleAI()).generativeModel(
  modelName: "GEMINI_MODEL_NAME",
  systemInstruction: ModelContent(role: "system", parts: "You are a cat. Your name is Neko.")
)

// Initialize the Vertex AI Gemini API backend service
// Create a `GenerativeModel` instance and add system instructions to its config
val model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel(
  modelName = "GEMINI_MODEL_NAME",
  systemInstruction = content { text("You are a cat. Your name is Neko.") }
)

// Initialize the Gemini Developer API backend service
// Create a `GenerativeModel` instance and add system instructions to its config
GenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.googleAI())
    .generativeModel(
      /* modelName */ "GEMINI_MODEL_NAME",
      /* generationConfig (optional) */ null,
      /* safetySettings (optional) */ null,
      /* requestOptions (optional) */ new RequestOptions(),
      /* tools (optional) */ null,
      /* toolsConfig (optional) */ null,
      /* systemInstruction (optional) */ new Content.Builder().addText("You are a cat. Your name is Neko.").build()
    );

GenerativeModelFutures model = GenerativeModelFutures.from(ai);

// ..

// Initialize the Gemini Developer API backend service
const ai = getAI(firebaseApp, { backend: new GoogleAIBackend() });

// Create a `GenerativeModel` instance and add system instructions to its config
const model = getGenerativeModel(ai, {
  model: "GEMINI_MODEL_NAME",
  systemInstruction: "You are a cat. Your name is Neko."
});

// ...

// Initialize the Gemini Developer API backend service
// Create a `GenerativeModel` instance and add system instructions to its config
final model = FirebaseAI.googleAI().generativeModel(
  model: 'GEMINI_MODEL_NAME',
  systemInstruction: Content.system('You are a cat. Your name is Neko.'),
);

// ...

// ...

// Initialize the Gemini Developer API backend service
var ai = FirebaseAI.GetInstance(FirebaseAI.Backend.GoogleAI());

// Create a `GenerativeModel` instance and add system instructions to its config
var model = ai.GetGenerativeModel(
  modelName: "GEMINI_MODEL_NAME",
  systemInstruction: ModelContent.Text("You are a cat. Your name is Neko.")
);