Вызов функций с использованием Gemini API

// This function calls a hypothetical external API that returns
// a collection of weather information for a given location on a given date.
func fetchWeather(city: String, state: String, date: String) -> JSONObject {

  // TODO(developer): Write a standard function that would call an external weather API.

  // For demo purposes, this hypothetical response is hardcoded here in the expected format.
  return [
    "temperature": .number(38),
    "chancePrecipitation": .string("56%"),
    "cloudConditions": .string("partlyCloudy"),
  ]
}

// This function calls a hypothetical external API that returns
// a collection of weather information for a given location on a given date.
// `location` is an object of the form { city: string, state: string }
data class Location(val city: String, val state: String)

suspend fun fetchWeather(location: Location, date: String): JsonObject {

    // TODO(developer): Write a standard function that would call to an external weather API.

    // For demo purposes, this hypothetical response is hardcoded here in the expected format.
    return JsonObject(mapOf(
        "temperature" to JsonPrimitive(38),
        "chancePrecipitation" to JsonPrimitive("56%"),
        "cloudConditions" to JsonPrimitive("partlyCloudy")
    ))
}

// This function calls a hypothetical external API that returns
// a collection of weather information for a given location on a given date.
// `location` is an object of the form { city: string, state: string }
public JsonObject fetchWeather(Location location, String date) {

  // TODO(developer): Write a standard function that would call to an external weather API.

  // For demo purposes, this hypothetical response is hardcoded here in the expected format.
  return new JsonObject(Map.of(
        "temperature", JsonPrimitive(38),
        "chancePrecipitation", JsonPrimitive("56%"),
        "cloudConditions", JsonPrimitive("partlyCloudy")));
}

// This function calls a hypothetical external API that returns
// a collection of weather information for a given location on a given date.
// `location` is an object of the form { city: string, state: string }
async function fetchWeather({ location, date }) {

  // TODO(developer): Write a standard function that would call to an external weather API.

  // For demo purposes, this hypothetical response is hardcoded here in the expected format.
  return {
    temperature: 38,
    chancePrecipitation: "56%",
    cloudConditions: "partlyCloudy",
  };
}

// This function calls a hypothetical external API that returns
// a collection of weather information for a given location on a given date.
// `location` is an object of the form { city: string, state: string }
Future<Map<String, Object?>> fetchWeather(
  Location location, String date
) async {

  // TODO(developer): Write a standard function that would call to an external weather API.

  // For demo purposes, this hypothetical response is hardcoded here in the expected format.
  final apiResponse = {
    'temperature': 38,
    'chancePrecipitation': '56%',
    'cloudConditions': 'partlyCloudy',
  };
  return apiResponse;
}

// This function calls a hypothetical external API that returns
// a collection of weather information for a given location on a given date.
System.Collections.Generic.Dictionary<string, object> FetchWeather(
    string city, string state, string date) {

  // TODO(developer): Write a standard function that would call an external weather API.

  // For demo purposes, this hypothetical response is hardcoded here in the expected format.
  return new System.Collections.Generic.Dictionary<string, object>() {
    {"temperature", 38},
    {"chancePrecipitation", "56%"},
    {"cloudConditions", "partlyCloudy"},
  };
}

let fetchWeatherTool = FunctionDeclaration(
  name: "fetchWeather",
  description: "Get the weather conditions for a specific city on a specific date.",
  parameters: [
    "location": .object(
      properties: [
        "city": .string(description: "The city of the location."),
        "state": .string(description: "The US state of the location."),
      ],
      description: """
      The name of the city and its state for which to get the weather. Only cities in the
      USA are supported.
      """
    ),
    "date": .string(
      description: """
      The date for which to get the weather. Date must be in the format: YYYY-MM-DD.
      """
    ),
  ]
)

val fetchWeatherTool = FunctionDeclaration(
    "fetchWeather",
    "Get the weather conditions for a specific city on a specific date.",
    mapOf(
        "location" to Schema.obj(
            mapOf(
                "city" to Schema.string("The city of the location."),
                "state" to Schema.string("The US state of the location."),
            ),
            description = "The name of the city and its state for which " +
                "to get the weather. Only cities in the " +
                "USA are supported."
        ),
        "date" to Schema.string("The date for which to get the weather." +
                                " Date must be in the format: YYYY-MM-DD."
        ),
    ),
)

FunctionDeclaration fetchWeatherTool = new FunctionDeclaration(
        "fetchWeather",
        "Get the weather conditions for a specific city on a specific date.",
        Map.of("location",
                Schema.obj(Map.of(
                        "city", Schema.str("The city of the location."),
                        "state", Schema.str("The US state of the location."))),
                "date",
                Schema.str("The date for which to get the weather. " +
                              "Date must be in the format: YYYY-MM-DD.")),
        Collections.emptyList());

const fetchWeatherTool: FunctionDeclarationsTool = {
  functionDeclarations: [
   {
      name: "fetchWeather",
      description:
        "Get the weather conditions for a specific city on a specific date",
      parameters: Schema.object({
        properties: {
          location: Schema.object({
            description:
              "The name of the city and its state for which to get " +
              "the weather. Only cities in the USA are supported.",
            properties: {
              city: Schema.string({
                description: "The city of the location."
              }),
              state: Schema.string({
                description: "The US state of the location."
              }),
            },
          }),
          date: Schema.string({
            description:
              "The date for which to get the weather. Date must be in the" +
              " format: YYYY-MM-DD.",
          }),
        },
      }),
    },
  ],
};

final fetchWeatherTool = FunctionDeclaration(
    'fetchWeather',
    'Get the weather conditions for a specific city on a specific date.',
    parameters: {
      'location': Schema.object(
        description:
          'The name of the city and its state for which to get'
          'the weather. Only cities in the USA are supported.',
        properties: {
          'city': Schema.string(
             description: 'The city of the location.'
           ),
          'state': Schema.string(
             description: 'The US state of the location.'
          ),
        },
      ),
      'date': Schema.string(
        description:
          'The date for which to get the weather. Date must be in the format: YYYY-MM-DD.'
      ),
    },
  );

var fetchWeatherTool = new Tool(new FunctionDeclaration(
  name: "fetchWeather",
  description: "Get the weather conditions for a specific city on a specific date.",
  parameters: new System.Collection<s.Generic.Dict>ionarystring, Schema() {
    { "location", Schema.Object(
      properties: new System.<Collections.Ge>neric.Dictionarystring, Schema() {
        { "city", Schema.String(description: "The city of the location.") },
        { "state", Schema.String(description: "The US state of the location.")}
      },
      description: "The name of the city and its state for which to get the weather. Only cities in the USA are supported."
    ) },
    { "date", Schema.String(
      description: "The date for which to get the weather. Date must be in the format: YYYY-MM-DD."
    )}
  }
));

Tool])]
)

import FirebaseAILogic

// Initialize the Gemini Developer API backend service.
// Create a `GenerativeModel` instance with a model that supports your use case.
let model = FirebaseAI.firebaseAI(backend: .googleAI()).generativeModel(
  modelName: "GEMINI_MODEL_NAME",
  // Provide the function declaration to the model.
  tools: [.functionDeclarations([fetchWeatherTool])]
)

Tool)))
)

// 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(
    mod<elN>ame = "varGE<MINI>_MODEL_NAME/var",
    // Provide the function declaration to the model.
    tools = listOf(Tool.functionDeclarations(listOf(fetchWeatherTool)))
)

ool)))));

// Initialize the Gemini Developer API backend service.
// Create a `GenerativeModel` instance with a model that supports your use case.
GenerativeModelFutures model = GenerativeModelFutures.from(
        FirebaseAI.getInstance(GenerativeBackend.googleAI())
                .generat<ive>Model("varGE<MINI>_MODEL_NAME/var",
                        null,
                        null,
                        // Provide the function declaration to the model.
                        List.of(Tool.functionDeclarations(List.of(fetchWeatherTool)))));

el.
  tools: fetchWeatherTool
});

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 firebaseAI = getAI(firebaseApp, { backend: new GoogleAIBackend() });

// Create a `GenerativeModel` instance with a model that supports your use case.
const model = getGenerativeModel(firebaseAI, {
  model: "GEMINI_MODEL_NAME",
  // Provide the function declaration to the model.
  tools: fetchWeatherTool
});

eatherTool]),
       ],
     );

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

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

// Initialize the Gemini Developer API backend service.
// Create a `GenerativeModel` instance with a model that supports your use case.
_functionCallModel = FirebaseAI.googleAI().generativeModel(
       model: 'GEMINI_MODEL_NAME',
       // Provide the function declaration to the model.
       tools: [
         Tool.functionDeclarations([fetchWeatherTool]),
       ],
     );

Tool }
);

using Firebase;
using Firebase.AI;

// Initialize the Gemini Developer API backend service.
// Create a `GenerativeModel` instance with a model that supports your use case.
var model = FirebaseAI.DefaultInstance.GetGenerativeModel(
  modelName: "GEMINI_MODEL_NAME",
  // Provide the function declaration to the model.
  tools: new Tool[] { fetchWeatherTool }
);

let chat = model.startChat()
let prompt = "What was the weather in Boston on October 17, 2024?"

// Send the user's question (the prompt) to the model using multi-turn chat.
let response = try await chat.sendMessage(prompt)

var functionResponses = [FunctionResponsePart]()

// When the model responds with one or more function calls, invoke the function(s).
for functionCall in response.functionCalls {
  if functionCall.name == "fetchWeather" {
    // TODO(developer): Handle invalid arguments.
    guard case let .object(location) = functionCall.args["location"] else { fatalError() }
    guard case let .string(city) = location["city"] else { fatalError() }
    guard case let .string(state) = location["state"] else { fatalError() }
    guard case let .string(date) = functionCall.args["date"] else { fatalError() }

    functionResponses.append(FunctionResponsePart(
      name: functionCall.name,
      // Forward the structured input data prepared by the model
      // to the hypothetical external API.
      response: fetchWeather(city: city, state: state, date: date)
    ))
  }
  // TODO(developer): Handle other potential function calls, if any.
}

val prompt = "What was the weather in Boston on October 17, 2024?"
val chat = model.startChat()
// Send the user's question (the prompt) to the model using multi-turn chat.
val result = chat.sendMessage(prompt)

val functionCalls = result.functionCalls
// When the model responds with one or more function calls, invoke the function(s).
val fetchWeatherCall = functionCalls.find { it.name == "fetchWeather" }

// Forward the structured input data prepared by the model
// to the hypothetical external API.
val functionResponse = fetchWeatherCall?.let {
    // Alternatively, if your `Location` class is marked as @Serializable, you can use
    // val location = Js<on.decod>eFromJsonElementLocation(it.args["location"]!!)
    val location = Location(
        it.args["location"]!!.jsonObject["city"]!!.jsonPrimitive.content,
        it.args["location"]!!.jsonObject["state"]!!.jsonPrimitive.content
    )
    val date = it.args["date"]!!.jsonPrimitive.content
    fetchWeather(location, date