結合內建工具和函式呼叫

Gemini 允許在單一互動中組合內建工具 (例如 google_search) 和函式呼叫 (也稱為自訂工具)，方法是保留及公開工具呼叫的脈絡記錄。內建和自訂工具組合可實現複雜的代理工作流程，例如模型可在呼叫特定業務邏輯之前，先根據即時網路資料建立基礎。

以下範例會透過 google_search 和自訂函式 getWeather，啟用內建和自訂工具組合：

Python

# 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-3.6-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.

JavaScript

// 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-3.6-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.
    }
}

REST

# 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-3.6-flash",
  "input": "What is the northernmost city in the United States? What'