שימוש בתצורת המודל כדי לשלוט בתשובות

import FirebaseAILogic

// Set parameter values in a `GenerationConfig`.
// IMPORTANT: Example values shown here. Make sure to update for your use case.
// For the latest general-use Gemini models, the following parameters are now unsupported:
// temperature, top-K, top-P, frequency penalty, presence penalty, and candidate count
let config = GenerationConfig(
  maxOutputTokens: 200,
  stopSequences: ["red"]
)

// Initialize the Agent Platform Gemini API backend service (formerly Vertex AI).
// Specify the config as part of creating the `GenerativeModel` instance.
let model = FirebaseAI.firebaseAI(backend: .agentPlatform()).generativeModel(
  modelName: "GEMINI_MODEL_NAME",
  generationConfig: config
)

// ...

// ...

// Set parameter values in a `GenerationConfig`.
// IMPORTANT: Example values shown here. Make sure to update for your use case.
// For the latest general-use Gemini models, the following parameters are now unsupported:
// temperature, top-K, top-P, frequency penalty, presence penalty, and candidate count
val config = generationConfig {
    maxOutputTokens = 200
    stopSequences = listOf("red")
}

// Initialize the Agent Platform Gemini API backend service (formerly Vertex AI).
// Specify the config as part of creating the `GenerativeModel` instance.
val model = Firebase.ai(backend = GenerativeBackend.agentPlatform()).generativeModel(
    modelName = "GEMINI_MODEL_NAME",
    generationConfig = config
)

// ...

// ...

// Set parameter values in a `GenerationConfig`.
// IMPORTANT: Example values shown here. Make sure to update for your use case.
// For the latest general-use Gemini models, the following parameters are now unsupported:
// temperature, top-K, top-P, frequency penalty, presence penalty, and candidate count
GenerationConfig.Builder configBuilder = new GenerationConfig.Builder();
configBuilder.maxOutputTokens = 200;
configBuilder.stopSequences = List.of("red");

GenerationConfig config = configBuilder.build();

// Specify the config as part of creating the `GenerativeModel` instance.
GenerativeModelFutures model = GenerativeModelFutures.from(
        FirebaseAI.getInstance(GenerativeBackend.agentPlatform())
                .generativeModel(
                    "GEMINI_MODEL_NAME",
                    config
                );
);

// ...

// ...

// Initialize the Agent Platform Gemini API backend service (formerly Vertex AI).
const ai = getAI(firebaseApp, { backend: new AgentPlatformBackend() });

// Set parameter values in a `GenerationConfig`.
// IMPORTANT: Example values shown here. Make sure to update for your use case.
// For the latest general-use Gemini models, the following parameters are now unsupported:
// temperature, top-K, top-P, frequency penalty, presence penalty, and candidate count
const generationConfig = {
  maxOutputTokens: 200,
  stopSequences: ["red"],
};

// Specify the config as part of creating the `GenerativeModel` instance.
const model = getGenerativeModel(ai, { model: "GEMINI_MODEL_NAME",  generationConfig });

// ...

// ...

// Set parameter values in a `GenerationConfig`.
// IMPORTANT: Example values shown here. Make sure to update for your use case.
// For the latest general-use Gemini models, the following parameters are now unsupported:
// temperature, top-K, top-P, frequency penalty, presence penalty, and candidate count
final generationConfig = GenerationConfig(
  maxOutputTokens: 200,
  stopSequences: ["red"],
);

// Initialize the Agent Platform Gemini API backend service (formerly Vertex AI).
// Specify the config as part of creating the `GenerativeModel` instance.
final model = FirebaseAI.agentPlatform().generativeModel(
  model: 'GEMINI_MODEL_NAME',
  generationConfig: generationConfig,
);

// ...

// ...

// Set parameter values in a `GenerationConfig`.
// IMPORTANT: Example values shown here. Make sure to update for your use case.
// For the latest general-use Gemini models, the following parameters are now unsupported:
// temperature, top-K, top-P, frequency penalty, presence penalty, and candidate count
var generationConfig = new GenerationConfig(
  maxOutputTokens: 200,
  stopSequences: new string[] { "red" }
);

// Initialize the Agent Platform Gemini API backend service (formerly Vertex AI).
// Specify the config as part of creating the `GenerativeModel` instance.
var ai = FirebaseAI.GetInstance(FirebaseAI.Backend.AgentPlatform());
var model = ai.GetGenerativeModel(
  modelName: "GEMINI_MODEL_NAME",
  generationConfig: generationConfig
);

// ...

// Set parameter values in a `LiveGenerationConfig` (example values shown here).
let config = LiveGenerationConfig(
  maxOutputTokens: 200,
  responseModalities: [.audio],
  speech: SpeechConfig(voiceName: "Fenrir"),
)

// Specify the config as part of creating the `liveModel` instance.
let liveModel = FirebaseAI.firebaseAI(backend: .agentPlatform(location: "us-central1")).liveModel(
  modelName: "GEMINI_LIVE_MODEL_NAME",
  generationConfig: config
)

// ...

// ...

// Set parameter values in a `LiveGenerationConfig` (example values shown here).
val config = liveGenerationConfig {
    maxOutputTokens = 200
    responseModality = ResponseModality.AUDIO
    speechConfig = SpeechConfig(voice = Voice("FENRIR"))
}

// Specify the config as part of creating the `LiveModel` instance.
val liveModel = Firebase.ai(backend = GenerativeBackend.agentPlatform(location = "us-central1")).liveModel(
    modelName = "GEMINI_LIVE_MODEL_NAME",
    generationConfig = config
)

// ...

// ...

// Set parameter values in a `LiveGenerationConfig` (example values shown here).
LiveGenerationConfig.Builder configBuilder = new LiveGenerationConfig.Builder();
configBuilder.setMaxOutputTokens(200);
configBuilder.setResponseModality(ResponseModality.AUDIO);

configBuilder.setSpeechConfig(new SpeechConfig(new Voice("FENRIR")));

LiveGenerationConfig config = configBuilder.build();

// Specify the config as part of creating the `LiveModel` instance.
LiveGenerativeModel lm = FirebaseAI.getInstance(GenerativeBackend.agentPlatform("us-central1")).liveModel(
          "GEMINI_LIVE_MODEL_NAME",
          config
);

// ...

// ...

// Initialize the Agent Platform Gemini API backend service (formerly Vertex AI).
const ai = getAI(firebaseApp, { backend: new AgentPlatformBackend("us-central1") });

// Set parameter values in a `LiveGenerationConfig` (example values shown here).
const liveGenerationConfig = {
  maxOutputTokens: 200,
  responseModalities: [ResponseModality.AUDIO],
  speechConfig: {
    voiceConfig: {
      prebuiltVoiceConfig: { voiceName: "Fenrir" },
    },
  },
};

// Specify the config as part of creating the `LiveGenerativeModel` instance.
const liveModel = getLiveGenerativeModel(ai, {
  model: "GEMINI_LIVE_MODEL_NAME",
  liveGenerationConfig,
});

// ...

// ...

// Set parameter values in a `LiveGenerationConfig` (example values shown here).
final config = LiveGenerationConfig(
  maxOutputTokens: 200,
  responseModalities: [ResponseModalities.audio],
  speechConfig: SpeechConfig(voiceName: 'Fenrir'),
);

// Specify the config as part of creating the `liveGenerativeModel` instance.
final liveModel = FirebaseAI.agentPlatform(location: 'us-central1').liveGenerativeModel(
  model: 'GEMINI_LIVE_MODEL_NAME',
  liveGenerationConfig: config,
);

// ...

// ...

// Set parameter values in a `LiveGenerationConfig` (example values shown here).
var config = new LiveGenerationConfig(
  maxOutputTokens: 200,
  responseModalities: new[] { ResponseModality.Audio },
  speechConfig: SpeechConfig.UsePrebuiltVoice("Fenrir")
);

// Specify the config as part of creating the `LiveModel` instance.
var liveModel = FirebaseAI.GetInstance(FirebaseAI.Backend.AgentPlatform(location: "us-central1")).GetLiveModel(
  modelName: "GEMINI_LIVE_MODEL_NAME",
  liveGenerationConfig: config
);

// ...