Google Maps와 Google Search, 이제 Gemini API에서 함께 쓴다

import { GoogleGenAI } from "@google/genai";
 
const ai = new GoogleGenAI({});
 
const bookTableTool = {
  type: "function",
  name: "book_table",
  description: "Reserves a table at a chosen venue.",
  parameters: {
    type: "object",
    properties: {
      placeName: { type: "string" },
      time: { type: "string" },
      partySize: { type: "number" },
      seatingPreference: { type: "string" }
    },
    required: ["placeName", "time"]
  }
};
 
const interaction = await ai.interactions.create({
  model: "gemini-3.6-flash",
  input: "Find a quiet coffee spot in SoHo with a garden patio open this morning, and book a table for 2 at 10am.",
  tools: [
    { type: "google_search" },
    { type: "google_maps" },
    bookTableTool
  ]
});

// 1. Execute the actual booking in your backend
const bookingResult = await reservationService.book({
  venue: functionCall.arguments.placeName,
  time: functionCall.arguments.time,
  party: functionCall.arguments.partySize
});
 
// 2. Send the result back to Gemini to finish the interaction
const finalInteraction = await ai.interactions.create({
  model: "gemini-3.6-flash",
  previous_interaction_id: interaction.id,
  input: [{
    type: "function_result",
    call_id: functionCall.id,
    name: "book_table",
    result: [{
      type: "text",
      text: JSON.stringify({
        status: "confirmed",
        reference: bookingResult.id
      })
    }]
  }]
});

const interaction = await ai.interactions.create({
  model: "gemini-3.6-flash",
  input: "Find a romantic pasta bar in the West Village with an open table at 7:30pm and book it for 2.",
  tools: [
    { type: "google_search" },
    { type: "google_maps" },
    {
      type: "mcp_server",
      name: "opentable",
      url: "https://mcp.opentable.com/sse"
    }
  ]
});