Łączenie wbudowanych narzędzi i wywoływania funkcji

# This will only work for SDK newer than 2.0.0
from google import genai

client = genai.Client()

getWeather = {
    "type": "function",
    "name": "getWeather",
    "description": "Gets the weather for a requested city.",
    "parameters": {
        "type": "object",
        "properties": {
            "city": {
                "type": "string",
                "description": "The city and state, e.g. Utqiaġvik, Alaska",
            },
        },
        "required": ["city"],
    },
}

# The Interactions API manages context automatically across tool calls.
# The model will first use Google Search, then call getWeather.
interaction = client.interactions.create(
    model="gemini-3.8-flash",
    input="What is the northernmost city in the United States? What's the weather like there today?",
    tools=[
        {"type": "google_search"},
        getWeather,
    ],
)

# Process steps: the interaction contains search results and a function call
for step in interaction.steps:
    if step.type == "function_call":
        print(f"Function call: {step.name} with args: {step.arguments}")
        # In a real application, you would execute the function here
        # and provide the result back to the model.

// This will only work for SDK newer than 2.0.0
import { GoogleGenAI } from '@google/genai';

const client = new GoogleGenAI({});

const getWeather = {
    type: "function",
    name: "getWeather",
    description: "Get the weather in a given location",
    parameters: {
        type: "object",
        properties: {
            location: {
                type: "string",
                description: "The city and state, e.g. San Francisco, CA"
            }
        },
        required: ["location"]
    }
};

// The Interactions API manages context automatically across tool calls.
// The model will first use Google Search, then call getWeather.
const interaction = await client.interactions.create({
    model: "gemini-3.8-flash",
    input: "What is the northernmost city in the United States? What's the weather like there today?",
    tools: [
        { type: "google_search" },
        getWeather,
    ],
});

// Process steps: the interaction contains search results and a function call
for (const step of interaction.steps) {
    if (step.type === "function_call") {
        console.log(`Function call: ${step.name} with args: ${JSON.stringify(step.arguments)}`);
        // In a real application, you would execute the function here
        // and provide the result back to the model.
    }
}

import com.google.genai.Client;
import com.google.genai.gaos.models.interactions.CreateModelInteraction;
import com.google.genai.gaos.models.interactions.Function;
import com.google.genai.gaos.models.interactions.GoogleSearch;
import com.google.genai.gaos.models.interactions.Interaction;
import com.google.genai.gaos.models.interactions.InteractionsInput;
import com.google.genai.gaos.models.interactions.Model;
import com.google.genai.gaos.models.operations.CreateInteractionRequestBody;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;

Client client = new Client();

Map<String, Object> parameters = new HashMap<>();
parameters.put("type", "object");

Function customFunc =
    Function.builder()
        .name("get_user_location")
        .description("Retrieves user current location.")
        .parameters(parameters)
        .build();

CreateModelInteraction params =
    CreateModelInteraction.builder()
        .model(Model.of("gemini-3.8-flash"))
        .input(InteractionsInput.of("What is the weather like where I am right now?"))
        .tools(Arrays.asList(customFunc, new GoogleSearch()))
        .build();

Interaction interaction =
    client.interactions.create(CreateInteractionRequestBody.of(params)).interaction().get();

System.out.println(interaction.outputText().orElse(""));

package main

import (
    "context"
    "fmt"
    "log"

    "google.golang.org/genai"
    "google.golang.org/genai/interactions/models/interactions"
    "google.golang.org/genai/interactions/models/operations"
)

func main() {
    ctx := context.Background()
    client, err := genai.NewClient(ctx, nil)
    if err != nil {
        log.Fatal(err)
    }

    customFunc := interactions.NewTool(interactions.Function{
        Name:        genai.Ptr("get_user_location"),
        Description: genai.Ptr("Retrieves user current location."),
        Parameters: map[string]any{
            "type": "object",
        },
    })

    res, err := client.Interactions.Create(ctx, operations.CreateInteractionRequest{
        Body: operations.NewCreateInteractionRequestBody(interactions.CreateModelInteraction{
            Model: interactions.Model("gemini-3.8-flash"),
            Input: interactions.NewInteractionsInput("What is the weather like where I am right now?"),
            Tools: []interactions.Tool{
                customFunc,
                interactions.NewTool(interactions.GoogleSearch{}),
            },
        }),
    })
    if err != nil {
        log.Fatal(err)
    }
    if res.Interaction.OutputText != nil {
        fmt.Println(*res.Interaction.OutputText)
    }
}

# Specifies the API revision to avoid breaking changes when they become default
curl -X POST "https://generativelanguage.googleapis.com/v1beta/interactions" \
-H "Content-Type: application/json" \
-H "x-goog-api-key: $GEMINI_API_KEY" \
-d '{
  "model": "gemini-3.8-flash",
  "input": "What is the northernmost city in the United States? What'\''s the weather like there today?",
  "tools": [
    { "type": "google_search" },
    {
      "type": "function",
      "name": "getWeather",
      "description": "Get the weather in a given location",
      "parameters": {
          "type": "object",
          "properties": {
              "location": {
                  "type": "string",
                  "description": "The city and state, e.g. San Francisco, CA"
              }
          },
          "required": ["location"]
      }
    }
  ]
}'