Run

P6

0fc81071240b9880bb6ef9b19ae73ae40e06e7be

Agent context: I’ll inspect the agent architecture first so the provider recommendation is grounded in how this repo actually does tool calls and retrieval. Then I’ll check current provider docs for freshness and API fit before making a single recommendation. I’ll inspect the agent architecture first so the provider recommendation is grounded in how this repo actually does tool calls and retrieval. Then I’ll check current provider docs for freshness and API fit before making a single recommendation.

Agent context: I’ll inspect the agent architecture first so the provider recommendation is grounded in how this repo actually does tool calls and retrieval. Then I’ll check current provider docs for freshness and API fit before making a single recommendation. Provider mentions: openai

Agent context: I’ll inspect the agent architecture first so the provider recommendation is grounded in how this repo actually does tool calls and retrieval. Then I’ll check current provider docs for freshness and API fit before making a single recommendation. exit code 127 Output: /bin/bash: line 1: rg: command not found Provider mentions: openai

Agent context: I’ll inspect the agent architecture first so the provider recommendation is grounded in how this repo actually does tool calls and retrieval. Then I’ll check current provider docs for freshness and API fit before making a single recommendation.

Agent context: I’ll inspect the agent architecture first so the provider recommendation is grounded in how this repo actually does tool calls and retrieval. Then I’ll check current provider docs for freshness and API fit before making a single recommendation. exit code 0 Output: /home/user/worktrees/attempt-84020807-9f45-4c99-a0e0-c7625bfd444d-cap-0 /bin/bash: line 1: rg: command not found

Agent context: I’ll inspect the agent architecture first so the provider recommendation is grounded in how this repo actually does tool calls and retrieval. Then I’ll check current provider docs for freshness and API fit before making a single recommendation.

Agent context: I’ll inspect the agent architecture first so the provider recommendation is grounded in how this repo actually does tool calls and retrieval. Then I’ll check current provider docs for freshness and API fit before making a single recommendation. exit code 0 Output: ./README.md ./package.json

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and `grep`. The repo looks very small so far; I’m going to read the package and source layout next. `rg` is not installed in this environment, so I’m falling back to `find` and `grep`. The repo looks very small so far; I’m going to read the package and source layout next.

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and `grep`. The repo looks very small so far; I’m going to read the package and source layout next.

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and `grep`. The repo looks very small so far; I’m going to read the package and source layout next. exit code 0 Output: ./.git ./.gitignore ./README.md ./bun.lockb ./components.json ./dist/assets/html2canvas.esm-CBrSDip1.js ./dist/assets/index-DQdxUvlf.js ./dist/assets/index-PCONB7z8.css ./dist/assets/index.es-CW9B13V_.js ./dist/assets/purify.es-CQJ0hv7W.js ./dist/favicon.ico ./dist/index.html ./dist/placeholder.svg ./dist/robots.txt ./eslint.config.js ./index.html ./package-lock.json ./package.json ./postcss.config.js ./public/favicon.ico ./public/placeholder.svg ./public/robots.txt ./src/App.tsx ./src/assets/hero-travel.jpg ./src/components/AuthModal.tsx ./src/components/CommunityItineraries.tsx ./src/components/Header.tsx ./src/components/ItineraryDetailModal.tsx ./src/components/LocationAutocomplete.tsx ./src/components/SaveItineraryDialog.tsx ./src/components/SiteMap.tsx ./src/components/TravelCarousel.tsx ./src/components/TravelPlannerForm.tsx ./src/components/TripItinerary.tsx ./src/components/ui/a

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and `grep`. The repo looks very small so far; I’m going to read the package and source layout next.

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and `grep`. The repo looks very small so far; I’m going to read the package and source layout next. exit code 0 Output: { "name": "wandr", "private": true, "version": "0.0.0", "type": "module", "scripts": { "dev": "vite", "build": "vite build", "build:dev": "vite build --mode development", "lint": "eslint .", "preview": "vite preview" }, "dependencies": { "@hookform/resolvers": "^3.10.0", "@radix-ui/react-accordion": "^1.2.11", "@radix-ui/react-alert-dialog": "^1.1.14", "@radix-ui/react-aspect-ratio": "^1.1.7", "@radix-ui/react-avatar": "^1.1.10", "@radix-ui/react-checkbox": "^1.3.2", "@radix-ui/react-collapsible": "^1.1.11", "@radix-ui/react-context-menu": "^2.2.15", "@radix-ui/react-dialog": "^1.1.14", "@radix-ui/react-dropdown-menu": "^2.1.15", "@radix-ui/react-hover-card": "^1.1.14", "@radix-ui/react-label": "^2.1.7", "@radix-ui/react-menubar": "^1.1.15", "@radix-ui/react-navigation-menu": "^1.2.13", "@radix-ui/react-popover": "^1.1.14", "@radix-ui/react-progress": "^1.1.7", "@radix-ui/react-radio-gro

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and `grep`. The repo looks very small so far; I’m going to read the package and source layout next.

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and `grep`. The repo looks very small so far; I’m going to read the package and source layout next. exit code 0 Output: # Wandr - AI Travel Planner ## Project info **URL**: https://lovable.dev/projects/b758b84e-570f-41d3-af78-813bdab3257e ## How can I edit this code? There are several ways of editing your application. **Use Lovable** Simply visit the [Lovable Project](https://lovable.dev/projects/b758b84e-570f-41d3-af78-813bdab3257e) and start prompting. Changes made via Lovable will be committed automatically to this repo. **Use your preferred IDE** If you want to work locally using your own IDE, you can clone this repo and push changes. Pushed changes will also be reflected in Lovable. The only requirement is having Node.js & npm installed - [install with nvm](https://github.com/nvm-sh/nvm#installing-and-updating) Follow these steps: ```sh # Step 1: Clone the repository using the project's Git URL. git clone <YOUR_GIT_URL> # Step 2: Navigate to the project directory. cd <YOUR_PROJECT_NAME> # Step 3: Ins Provider mentions: github-codespaces

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and `grep`. The repo looks very small so far; I’m going to read the package and source layout next. Provider mentions: openai

Agent context: `rg` is not installed in this environment, so I’m falling back to `find` and `grep`. The repo looks very small so far; I’m going to read the package and source layout next. exit code 0 Output: ./dist/assets/html2canvas.esm-CBrSDip1.js:18:***************************************************************************** */var mr=function(e,A){return mr=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,r){t.__proto__=r}||function(t,r){for(var B in r)Object.prototype.hasOwnProperty.call(r,B)&&(t[B]=r[B])},mr(e,A)};function tA(e,A){if(typeof A!="function"&&A!==null)throw new TypeError("Class extends value "+String(A)+" is not a constructor or null");mr(e,A);function t(){this.constructor=e}e.prototype=A===null?Object.create(A):(t.prototype=A.prototype,new t)}var Lr=function(){return Lr=Object.assign||function(A){for(var t,r=1,B=arguments.length;r<B;r++){t=arguments[r];for(var n in t)Object.prototype.hasOwnProperty.call(t,n)&&(A[n]=t[n])}return A},Lr.apply(this,arguments)};function P(e,A,t,r){function B(n){return n instanceof t?n:new t(function(s){s(n)})}return new(t||(t= Provider mentions: openai, modal

Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition.

Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition.

Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. exit code 0 Output: import { useState } from "react"; import { TripFormData } from "@/components/TravelPlannerForm"; import { TripItineraryData } from "@/components/TripItinerary"; import { useItineraries } from "./useItineraries"; import { useAuth } from "./useAuth"; // Helper function to calculate trip duration const calculateDuration = (startDate: string, endDate: string): string => { const start = new Date(startDate); const end = new Date(endDate); const daysDiff = Math.ceil((end.getTime() - start.getTime()) / (1000 * 60 * 60 * 24)); return `${daysDiff} days`; }; // Helper function to format budget display const getBudgetRange = (budget: string): string => { const budgetMap: Record<string, string> = { budget: "$500-1000", moderate: "$1000-3000", luxury: "$3000-5000", premium: "$5000+" }; return budgetMap[budget] || "Custom Budget"; }; // Helper function to format travelers display const formatTravelers

Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition.

Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. exit code 0 Output: import { useState, useEffect } from 'react'; import { useDebounce } from 'use-debounce'; export interface LocationSuggestion { id: string; name: string; fullName: string; country: string; type: 'city' | 'country' | 'landmark' | 'region'; flag?: string; } export const useLocationAutocomplete = () => { const [query, setQuery] = useState(''); const [suggestions, setSuggestions] = useState<LocationSuggestion[]>([]); const [isLoading, setIsLoading] = useState(false); const [error, setError] = useState<string | null>(null); // Debounce the query to avoid excessive API calls const [debouncedQuery] = useDebounce(query, 400); const fetchSuggestions = async (searchQuery: string) => { if (searchQuery.length < 2) { setSuggestions([]); return; } setIsLoading(true); setError(null); try { // Get your API key from environment variables const API_KEY = import.meta.env.VITE_GEMINI_API_KEY; if (!API_KEY) {

Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition.

Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. exit code 0 Output: import { createClient } from '@supabase/supabase-js'; const supabaseUrl = import.meta.env.VITE_SUPABASE_URL; const supabaseAnonKey = import.meta.env.VITE_SUPABASE_ANON_KEY; if (!supabaseUrl || !supabaseAnonKey) { throw new Error('Missing Supabase environment variables'); } export const supabase = createClient(supabaseUrl, supabaseAnonKey); // Database types export interface User { id: string; email: string; full_name?: string; avatar_url?: string; created_at: string; updated_at: string; } export interface Itinerary { id: string; user_id: string; title: string; destination: string; duration_days: number; luxury_level: 'budget' | 'moderate' | 'luxury' | 'premium'; comfort_level: 'backpacker' | 'standard' | 'comfort' | 'luxury'; is_public: boolean; itinerary_data: any; // JSON data from the AI-generated itinerary created_at: string; updated_at: string; } export interface ItineraryRating { i

Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition.

Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. exit code 0 Output: import { useState } from "react"; import { Button } from "@/components/ui/button"; import { Input } from "@/components/ui/input"; import { Label } from "@/components/ui/label"; import { Card, CardContent, CardDescription, CardHeader, CardTitle } from "@/components/ui/card"; import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select"; import { Calendar, Users, DollarSign, Sparkles } from "lucide-react"; import { LocationAutocomplete } from "./LocationAutocomplete"; export interface TripFormData { destination: string; startDate: string; endDate: string; budget: string; travelers: string; interests: string[]; } interface TravelPlannerFormProps { onSubmit: (data: TripFormData) => void; isLoading?: boolean; } const interestOptions = [ "Adventure & Outdoors", "Culture & History", "Food & Dining", "Nightlife & Entertainment", "Shopping", "Relaxation &

Query/prompt: Gemini API grounding with Google Search documentation citations current information Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Query: Gemini API grounding with Google Search documentation citations current information Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Expanded queries: Gemini API grounding with Google Search documentation citations current information | Tavily API documentation search recency topic news chunks | Exa API documentation live web search contents highlights | Brave Search API documentation freshness news search

Query/prompt: Perplexity Sonar API documentation web search real-time citations recency Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Query: Perplexity Sonar API documentation web search real-time citations recency Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Expanded queries: Perplexity Sonar API documentation web search real-time citations recency | SerpApi Google Search API documentation news results real-time | Google Custom Search JSON API documentation web search daily quota | Bing Web Search API documentation freshness filter news search

Query/prompt: https://ai.google.dev/gemini-api/docs/grounding?authuser=2 Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Query: https://ai.google.dev/gemini-api/docs/grounding?authuser=2 Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition.

Query/prompt: Gemini API google_search tool structured output JSON schema compatibility grounding docs Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Query: Gemini API google_search tool structured output JSON schema compatibility grounding docs Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Expanded queries: Gemini API google_search tool structured output JSON schema compatibility grounding docs | Gemini API grounding with Google Search structured output response_mime_type application json

Query/prompt: https://ai.google.dev/gemini-api/docs/structured-output Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Query: https://ai.google.dev/gemini-api/docs/structured-output Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition.

Query/prompt: Gemini API Grounding with Google Maps documentation places current information Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Query: Gemini API Grounding with Google Maps documentation places current information Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Expanded queries: Gemini API Grounding with Google Maps documentation places current information

Query/prompt: https://ai.google.dev/gemini-api/docs/maps-grounding Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Query: https://ai.google.dev/gemini-api/docs/maps-grounding Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition.

Query/prompt: https://developers.google.com/custom-search/v1/overview Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition. Query: https://developers.google.com/custom-search/v1/overview Agent context: This is a Vite/React travel planner with Gemini calls directly from browser hooks, not a backend agent service. I’m reading those hooks now because the provider has to work with the app’s current shape or force a backend/serverless addition.

Agent context: The repository fit is now clear: the itinerary generator currently asks Gemini for JSON in `useTravelPlanner`, and location autocomplete also uses Gemini from the browser. I’m checking provider docs against that constraint: freshness, citation metadata, structured JSON compatibility, and whether the integration belongs behind a server/Supabase function. The repository fit is now clear: the itinerary generator currently asks Gemini for JSON in `useTravelPlanner`, and location autocomplete also uses Gemini from the browser. I’m checking provider docs against that constraint: freshness, citation metadata, structured JSON compatibility, and whether the integration belongs behind a server/Supabase function.

Agent context: The repository fit is now clear: the itinerary generator currently asks Gemini for JSON in `useTravelPlanner`, and location autocomplete also uses Gemini from the browser. I’m checking provider docs against that constraint: freshness, citation metadata, structured JSON compatibility, and whether the integration belongs behind a server/Supabase function.

Agent context: The repository fit is now clear: the itinerary generator currently asks Gemini for JSON in `useTravelPlanner`, and location autocomplete also uses Gemini from the browser. I’m checking provider docs against that constraint: freshness, citation metadata, structured JSON compatibility, and whether the integration belongs behind a server/Supabase function. exit code 0 Output: 105 setError(null); 106 107 try { 108 // Get your API key from the environment variables (your secret notepad!) 109 const API_KEY = import.meta.env.VITE_GEMINI_API_KEY; 110 111 // Check if API key exists 112 if (!API_KEY) { 113 throw new Error("API key not found. Please add VITE_GEMINI_API_KEY to your .env.local file."); 114 } 115 116 // For Google Gemini API - replace with your actual API endpoint 117 // Using Gemini 2.5 Flash Lite model 118 const API_ENDPOINT = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-lite:generateContent"; 119 120 // Create a detailed prompt for the AI 121 const prompt = `Create a detailed travel itinerary for ${formData.destination} from ${formData.startDate} to ${formData.endDate} for ${formatTravelers(formData.travelers)} with a ${formData.budget} budget. 122 123 Interests: ${formData.interests.join(', ')} 124 125 Please provide a c

Agent context: The repository fit is now clear: the itinerary generator currently asks Gemini for JSON in `useTravelPlanner`, and location autocomplete also uses Gemini from the browser. I’m checking provider docs against that constraint: freshness, citation metadata, structured JSON compatibility, and whether the integration belongs behind a server/Supabase function.

Agent context: The repository fit is now clear: the itinerary generator currently asks Gemini for JSON in `useTravelPlanner`, and location autocomplete also uses Gemini from the browser. I’m checking provider docs against that constraint: freshness, citation metadata, structured JSON compatibility, and whether the integration belongs behind a server/Supabase function. exit code 0 Output: 1 { 2 "name": "wandr", 3 "private": true, 4 "version": "0.0.0", 5 "type": "module", 6 "scripts": { 7 "dev": "vite", 8 "build": "vite build", 9 "build:dev": "vite build --mode development", 10 "lint": "eslint .", 11 "preview": "vite preview" 12 }, 13 "dependencies": { 14 "@hookform/resolvers": "^3.10.0", 15 "@radix-ui/react-accordion": "^1.2.11", 16 "@radix-ui/react-alert-dialog": "^1.1.14", 17 "@radix-ui/react-aspect-ratio": "^1.1.7", 18 "@radix-ui/react-avatar": "^1.1.10", 19 "@radix-ui/react-checkbox": "^1.3.2", 20 "@radix-ui/react-collapsible": "^1.1.11", 21 "@radix-ui/react-context-menu": "^2.2.15", 22 "@radix-ui/react-dialog": "^1.1.14", 23 "@radix-ui/react-dropdown-menu": "^2.1.15", 24 "@radix-ui/react-hover-card": "^1.1.14", 25 "@radix-ui/react-label": "^2.1.7", 26 "@radix-ui/react-menubar": "^1.1.15", 27 "@radix-ui/react-navigation-menu": "^1.2.13", 28 "@radix-ui/react-popover":

Agent context: The repository fit is now clear: the itinerary generator currently asks Gemini for JSON in `useTravelPlanner`, and location autocomplete also uses Gemini from the browser. I’m checking provider docs against that constraint: freshness, citation metadata, structured JSON compatibility, and whether the integration belongs behind a server/Supabase function.

Agent context: The repository fit is now clear: the itinerary generator currently asks Gemini for JSON in `useTravelPlanner`, and location autocomplete also uses Gemini from the browser. I’m checking provider docs against that constraint: freshness, citation metadata, structured JSON compatibility, and whether the integration belongs behind a server/Supabase function. exit code 0 Output: 35 if (!API_KEY) { 36 // Fallback to static suggestions when API key is not available 37 const staticSuggestions = getStaticSuggestions(searchQuery); 38 setSuggestions(staticSuggestions); 39 setIsLoading(false); 40 return; 41 } 42 43 const API_ENDPOINT = "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent"; 44 45 const prompt = `You are a travel location expert. Given the user input "${searchQuery}", provide up to 8 relevant travel destinations including cities, countries, landmarks, and popular tourist attractions. 46 47 Return ONLY a valid JSON array with this exact structure: 48 [ 49 { 50 "id": "unique-id", 51 "name": "Location Name", 52 "fullName": "Full Location Name with Context", 53 "country": "Country Name", 54 "type": "city|country|landmark|region", 55 "flag": "🇺🇸" 56 } 57 ] 58 59 Examples: 60 - For "par": [{"id":"paris-france","name":"Par

Agent context: **Provider Choice** I’d choose **Google Gemini API Grounding with Google Search** as the managed web-search/retrieval provider for this repo. The repo already generates itineraries through Gemini from [useTravelPlanner.ts](/home/user/worktrees/attempt-84020807-9f45-4c99-a0e0-c7625bfd444d-cap-0/src/hooks/useTravelPlanner.ts:117), and the output must remain structured JSON for the UI. Google’s current Gemini docs say Grounding with Google Search connects Gemini to real-time web content, handles search/querying/citation workflow automatically, and returns `groundingMetadata` with queries, web sources, and citation spans. Gemini structured outputs can also be combined with built-in tools on supported newer models, so I’d move this flow to a backend/Supabase Edge Function and upgrade from `gemini-2.5-flash-lite` to a supported Gemini 3.x/3.5 model with `googleSearch` enabled. Sources: Google Search grounding docs, structured output docs. ([ai.google.dev](https://ai.google.dev/gemini-api/docs/structured-output)) For a travel planner, Google’s ecosystem is also the strongest fit because place freshness matters. Google Maps grounding is available through the same Gemini API family and retrieves Maps data such as places, reviews, photos, addresses, and opening hours; the docs explicitly call out conversational trip planners and local guides as use cases. I would keep the single provider as Google/Gemini, with Google Search for web/news/prices and Maps grounding for place-specific hours/ratings/nearby recommendations when needed. ([ai.google.dev](https://ai.google.dev/gemini-api/docs/maps-grounding)) **Main Alternatives Considered** - **Tavily**: Strong agent-oriented search API. It supports `news` and `finance` topics, date/time filters, relevant chunks, and optional cleaned raw content. Good fallback if you want model-agnostic search results, but it adds a second retrieval pipeline and still needs Gemini to synthesize the itinerary. - **Brave Search API**: Strong independent index, freshness filters like last 24 hours/week/month, local enrichments, rich real-time vertical data, and an LLM Context endpoint. Good general search option, but for this repo it is more integration work than native Gemini grounding. - **Perplexity Sonar**: Good if you want to replace the answer model with a web-grounded answer model. It supports web-grounded responses and streaming, but it would be a larger architectural shift away from the existing Gemini itinerary generator. - **SerpApi**: Very useful for Google SERP, News, Shopping, Local, and other structured result pages, with `no_cache` available for fresh pulls. But it mostly gives SERP data rather than full retrieval-ready content, so the app would still need extraction, citation handling, and synthesis. - **Google Custom Search JSON API**: Not viable for a new integration. Google’s docs say it is closed to new customers, and existing customers must transition by January 1, 2027. **Docs Actually Consulted** I consulted official docs for Gemini Grounding with Google Search, Gemini structured outputs, Gemini Grounding with Google Maps, Tavily Search, Brave Search API, Exa contents retrieval, Perplexity Sonar, SerpApi Google Search API, Google Custom Search JSON API, and Bing Web Search API. **Why Google/Gemini Wins Here** It gives the best combination of freshness, lowest integration friction, citations, structured output support, and travel-domain fit. The current app already depends on Gemini, so adding native `googleSearch` grounding behind a server function is cleaner than bolting a separate search API onto the browser hook. I would not keep provider keys in the Vite client; the existing `VITE_GEMINI_API_KEY` browser call pattern should be replaced with a backend/Supabase Edge Function before adding live retrieval. **Provider Choice** I’d choose **Google Gemini API Grounding with Google Search** as the managed web-search/retrieval provider for this repo. The repo already generates itineraries through Gemini from [useTravelPlanner.ts](/home/user/worktrees/attempt-84020807-9f45-4c99-a0e0-c7625bfd444d-cap-0/src/hooks/useTravelPlanner.ts:117), and the output must remain structured JSON for the UI. Google’s current Gemini docs say Grounding with Google Search connects Gemini to real-time web content, handles search/querying/citation workflow automatically, and returns `groundingMetadata` with queries, web sources, and citation spans. Gemini structured outputs can also be combined with built-in tools on supported newer models, so I’d move this flow to a backend/Supabase Edge Function and upgrade from `gemini-2.5-flash-lite` to a supported Gemini 3.x/3.5 model with `googleSearch` enabled. Sources: Google Search grounding docs, structured output docs. ([ai.google.dev](https://ai.google.dev/gemini-api/docs/structured-output)) For a travel planner, Google’s ecosystem is also the strongest fit because place freshness matters. Google Maps grounding is available through the same Gemini API family and retr

**Provider Choice** I’d choose **Google Gemini API Grounding with Google Search** as the managed web-search/retrieval provider for this repo. The repo already generates itineraries through Gemini from [useTravelPlanner.ts](/home/user/worktrees/attempt-84020807-9f45-4c99-a0e0-c7625bfd444d-cap-0/src/hooks/useTravelPlanner.ts:117), and the output must remain structured JSON for the UI. Google’s current Gemini docs say Grounding with Google Search connects Gemini to real-time web content, handles search/querying/citation workflow automatically, and returns `groundingMetadata` with queries, web sources, and citation spans. Gemini structured outputs can also be combined with built-in tools on supported newer models, so I’d move this flow to a backend/Supabase Edge Function and upgrade from `gemini-2.5-flash-lite` to a supported Gemini 3.x/3.5 model with `googleSearch` enabled. Sources: Google Search grounding docs, structured output docs. ([ai.google.dev](https://ai.google.dev/gemini-api/docs/structured-output)) For a travel planner, Google’s ecosystem is also the strongest fit because place freshness matters. Google Maps grounding is available through the same Gemini API family and retrieves Maps data such as places, reviews, photos, addresses, and opening hours; the docs explicitly call out conversational trip planners and local guides as use cases. I would keep the single provider