การอ้างอิงตำแหน่งด้วย Google Maps

import CoreLocation
import FirebaseAILogic

// Initialize the Gemini Developer API backend service.
let ai = FirebaseAI.firebaseAI(backend: .googleAI())

// Example: Coordinates for New York City
let latAndLong = CLLocationCoordinate2D(latitude: 40.7128, longitude: -74.0060)

// (Optional) Define a RetrievalConfig to configure the Grounding with Google Maps tool.
// You can optionally provide a location's coordinates and/or a language code
// for more relevant and personalized Google Maps results.
let retrievalConfig = RetrievalConfig(
    location: latAndLong,
    // Example: Language code for English (US).
    languageCode: "en-US"
)

// Wrap the RetrievalConfig inside a ToolConfig.
let toolConfig = ToolConfig(retrievalConfig: retrievalConfig)

// Create a `GenerativeModel` instance with a model that supports your use case.
let model = ai.generativeModel(
    modelName: "GEMINI_MODEL_NAME",
    // Provide Google Maps as a tool that the model can use to generate its response.
    tools: [.googleMaps()],
    // Add the configuration for the Grounding with Google Maps tool
    // (if this optional config was defined above).
    toolConfig: toolConfig
)

let response = try await model.generateContent("restaurants near me?")
print(response.text ?? "No text in response.")

// Make sure to comply with the "Grounding with Google Maps" usage requirements,
// which includes how you meet service usage requirements

// (Optional) Define a RetrievalConfig to configure the Grounding with Google Maps tool.
// You can optionally provide a location's coordinates and/or a language code
// for more relevant and personalized Google Maps results.
val retrievalConfig = RetrievalConfig(
    // Example: Coordinates for New York City
    latLng = LatLng(latitude = 40.7128, longitude = -74.0060),
    // Example: Language code for English (US)
    languageCode = "en-US"
)

// Wrap the RetrievalConfig inside a ToolConfig.
val toolConfig = ToolConfig(
    retrievalConfig = retrievalConfig
)

// Initialize the Gemini Developer API backend service.
// Create a `GenerativeModel` instance with a model that supports your use case.
val model = Firebase.ai(backend = GenerativeBackend.googleAI()).generativeModel(
    modelName = "GEMINI_MODEL_NAME",
    // Add the configuration for the Grounding with Google Maps tool
    // (if this optional config was defined above).
    toolConfig = toolConfig,
    // Provide Google Maps as a tool that the model can use to generate its response.
    tools = listOf(Tool.googleMaps())
)

val response = model.generateContent("restaurants near me?")
print(response.text)

// Make sure to comply with the "Grounding with Google Maps" usage requirements,
// which includes how you meet service usage requirements

// (Optional) Define a ToolConfig to configure the Grounding with Google Maps tool.
// You can optionally provide a location's coordinates and/or a language code
// for more relevant and personalized Google Maps results.
ToolConfig toolConfig = new ToolConfig(
    null,
    new RetrievalConfig(
        // Example: Coordinates for New York City.
        new LatLng(40.7128, -74.0060),
        // Example: Language code for English (US).
       "en-US"
    )
);

// Initialize the Gemini Developer API backend service.
// Create a `GenerativeModel` instance with a model that supports your use case.
GenerativeModel ai = FirebaseAI.getInstance(GenerativeBackend.googleAI())
                .generativeModel("GEMINI_MODEL_NAME",
                        null,
                        null,
                        // Provide Google Maps as a tool that the model can use to generate its response.
                        List.of(Tool.googleMaps()),
                        // Add the configuration for the Grounding with Google Maps tool
                        // (if this optional config was defined above).
                        toolConfig);

// Use the GenerativeModelFutures Java compatibility layer which offers
// support for ListenableFuture and Publisher APIs.
GenerativeModelFutures model = GenerativeModelFutures.from(ai);

ListenableFuture response = model.generateContent("restaurants near me?");
  Futures.addCallback(response, new FutureCallback() {
      @Override
      public void onSuccess(GenerateContentResponse result) {
          String resultText = result.getText();
          System.out.println(resultText);
      }

      @Override
      public void onFailure(Throwable t) {
          t.printStackTrace();
      }
  }, executor);

// Make sure to comply with the "Grounding with Google Maps" usage requirements,
// which includes how you meet service usage requirements

import { initializeApp } from "firebase/app";
import { getAI, getGenerativeModel, GoogleAIBackend } from "firebase/ai";

// TODO(developer): Replace the following with your app's Firebase configuration
// See: https://firebase.google.com/docs/web/learn-more#config-object
const firebaseConfig = {
  // ...
};

// Initialize FirebaseApp
const firebaseApp = initializeApp(firebaseConfig);

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

// (Optional) Define a toolConfig to configure the Grounding with Google Maps tool.
// You can optionally provide a location's coordinates and/or a language code
// for more relevant and personalized Google Maps results.
const toolConfig = {
  retrievalConfig: {
    // Example: Coordinates for New York City
    latLng: {
      latitude: 40.7128,
      longitude: -74.0060
    },
    // Example: Language code for English (US)
    languageCode: 'en-US'
  }
};

// Create a `GenerativeModel` instance with a model that supports your use case
const model = getGenerativeModel(
  ai,
  {
    model: "GEMINI_MODEL_NAME",
    // Provide Google Maps as a tool that the model can use to generate its response.
    tools: [ { googleMaps: {} } ],
    // Add the configuration for the Grounding with Google Maps tool
    // (if this optional config was defined above).
    toolConfig
  }
);

const result = await model.generateContent("restaurants near me?");

console.log(result.response.text());

// Make sure to comply with the "Grounding with Google Maps" usage requirements,
// which includes how you meet service usage requirements

import 'package:firebase_core/firebase_core.dart';
import 'package:firebase_ai/firebase_ai.dart';
import 'firebase_options.dart';

// Initialize FirebaseApp.
await Firebase.initializeApp(
  options: DefaultFirebaseOptions.currentPlatform,
);

// (Optional) Define a ToolConfig to configure the Grounding with Google Maps tool.
// You can optionally provide a location's coordinates and/or a language code
// for more relevant and personalized Google Maps results.
final toolConfig = ToolConfig(
  retrievalConfig: RetrievalConfig(
    // Example: Coordinates for New York City.
    latLng: LatLng(latitude: 40.712728, longitude: -74.006015),
    // Example: Language code for English (US).
    languageCode: 'en-US',
  ),
);

// Initialize the Gemini Developer API backend service.
// Create a `GenerativeModel` instance with a model that supports your use case.
final model = FirebaseAI.googleAI().generativeModel(
  model: 'GEMINI_MODEL_NAME',
  // Provide Google Maps as a tool that the model can use to generate its response.
  tools: [
    Tool.googleMaps(),
  ],
  // Add the configuration for the Grounding with Google Maps tool
  // (if this optional config was defined above).
  toolConfig: toolConfig,
);

final response = await model.generateContent([Content.text("restaurants near me?")]);
print(response.text);

// Make sure to comply with the "Grounding with Google Maps" usage requirements,
// which includes how you meet service usage requirements

using Firebase;
using Firebase.AI;

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

// Example: Coordinates for New York City
var latLng = new LatLng(40.7128, -74.0060);

// (Optional) Define a RetrievalConfig to configure the Grounding with Google Maps tool.
// You can optionally provide a location's coordinates and/or a language code
// for more relevant and personalized Google Maps results.
var retrievalConfig = new RetrievalConfig(latLng, languageCode: "en");

// Wrap the RetrievalConfig inside a ToolConfig.
var toolConfig = new ToolConfig(retrievalConfig: retrievalConfig);

// Create a `GenerativeModel` instance with a model that supports your use case.
var model = ai.GetGenerativeModel(
  modelName: "GEMINI_MODEL_NAME",
  // Provide Google Maps as a tool that the model can use to generate its response.
  tools: new[] { new Tool(new GoogleMaps()) },
  // Add the configuration for the Grounding with Google Maps tool
  // (if this optional config was defined above).
  toolConfig: toolConfig
);

var response = await model.GenerateContentAsync("restaurants near me?");
UnityEngine.Debug.Log(response.Text ?? "No text in response.");

// Make sure to comply with the "Grounding with Google Maps" usage requirements,
// which includes how you meet service usage requirements

// ...

// Get the model's response
let text = response.text

// Get the grounding metadata
if let candidate = response.candidates.first,
   let groundingMetadata = candidate.groundingMetadata {

  // Get sources
  let groundingChunks = groundingMetadata.groundingChunks
  for chunk in groundingChunks {
    if let maps = chunk.maps {
      let title = maps.title  // for example, "Heaven on 7th Marketplace"
      let url = maps.url  // for example, "https://maps.google.com/?cid=13100894621228039586"
      let placeID = maps.placeID  // for example, "places/ChIJ0-zA1vBZwokRon0fGj-6z7U"
      // TODO(developer): show source in the UI
    }
  }
}

// ...

// Get the model's response
val text = response.text

// Get the grounding metadata
val groundingMetadata = response.candidates.firstOrNull()?.groundingMetadata

// Get sources
val groundingChunks = groundingMetadata?.groundingChunks
groundingChunks?.let { chunks ->
  for (chunk in chunks) {
    val title = chunk.maps?.title  // for example, "Heaven on 7th Marketplace"
    val uri = chunk.maps?.uri  // for example, "https://maps.google.com/?cid=13100894621228039586"
    val placeId = chunk.maps?.placeId  // for example, "places/ChIJ0-zA1vBZwokRon0fGj-6z7U"
    // TODO(developer): show source in the UI
  }
}

// ...

Futures.addCallback(response, new FutureCallback() {
  @Override
  public void onSuccess(GenerateContentResponse result) {
    // Get the model's response
    String text = result.getText();

    // Get the grounding metadata
    GroundingMetadata groundingMetadata =
        result.getCandidates()[0].getGroundingMetadata();

    if (groundingMetadata != null) {
      // Get sources
      List chunks = groundingMetadata.getGroundingChunks();
      if (chunks != null) {
        for(GroundingChunk chunk : chunks) {
          GoogleMapsGroundingChunk maps = chunk.getMaps();
          if (maps != null) {
            String title = maps.getTitle();  // for example, "Heaven on 7th Marketplace"
            String uri = maps.getUri();  // for example, "https://maps.google.com/?cid=13100894621228039586"
            String placeId = maps.getPlaceId();  // for example, "places/ChIJ0-zA1vBZwokRon0fGj-6z7U"
            // TODO(developer): show sources in the UI
          }
        }
      }
    }
  }

  @Override
  public void onFailure(Throwable t) {
    t.printStackTrace();
  }
}, executor);

// ...

// Get the model's text response
const text = result.response.text();

// Get the grounding metadata
const groundingMetadata = result.response.candidates?.[0]?.groundingMetadata;

// Get sources
const groundingChunks = groundingMetadata?.groundingChunks;
if (groundingChunks) {
  for (const chunk of groundingChunks) {
    const title = chunk.maps?.title;  // for example, "Heaven on 7th Marketplace"
    const uri = chunk.maps?.uri;  // for example, "https://maps.google.com/?cid=13100894621228039586"
    const placeId = chunk.maps?.placeId;  // for example, "places/ChIJ0-zA1vBZwokRon0fGj-6z7U"
    // TODO(developer): show sources in the UI
  }
}

// ...

// Get the model's response
final text = response.text;

// Get the grounding metadata
final groundingMetadata = response.candidates.first.groundingMetadata;

// Get sources
final groundingChunks = groundingMetadata?.groundingChunks;
if (groundingChunks != null) {
  for (var chunk in groundingChunks) {
    final title = chunk.maps?.title;  // for example, "Heaven on 7th Marketplace"
    final uri = chunk.maps?.uri;  // for example, "https://maps.google.com/?cid=13100894621228039586"
    final placeId = chunk.maps?.placeId;  // for example, "places/ChIJ0-zA1vBZwokRon0fGj-6z7U"
    // TODO(developer): show sources in the UI
  }
}

// ...

// Get the model's response.
var text = response.Text;

// Get the grounding metadata.
var groundingMetadata = response.Candidates.First().GroundingMetadata;

// Get sources.
if (groundingMetadata != null) {
  foreach(GroundingChunk chunk in groundingMetadata?.GroundingChunks) {
    if (chunk.Maps != null) {
      var title = chunk.Maps?.Title;  // for example, "Heaven on 7th Marketplace"
      var uri = chunk.Maps?.Uri;  // for example, "https://maps.google.com/?cid=13100894621228039586"
      var placeId = chunk.Maps?.PlaceId;  // for example, "places/ChIJ0-zA1vBZwokRon0fGj-6z7U"
      // TODO(developer): show sources in the UI
    }
  }
}