Run

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21064131e0f9915aed0cf38c98c0ef40501d9392

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: /home/user/worktrees/attempt-3038bc61-4880-413b-a8bb-70ffe8f03348-cap-0/README.md /home/user/worktrees/attempt-3038bc61-4880-413b-a8bb-70ffe8f03348-cap-0/package.json /home/user/worktrees/attempt-3038bc61-4880-413b-a8bb-70ffe8f03348-cap-0/supabase/config.toml Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 # Cogitations Reviews 2 3 A modern product reviews and recommendations platform built with Nuxt 3, Supabase, PrimeVue, and TailwindCSS. 4 5 Integrates AI for both review generation and user driven updates. 6 7 ## 🌟 Features 8 9 - User authentication and authorization (email/password + Google OAuth) 10 - Email duplicate detection system 11 - Product review creation and management 12 - AI-powered content generation Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 { 2 "name": "cogitations-reviews", 3 "private": true, 4 "type": "module", 5 "scripts": { 6 "prebuild": "node build-info.cjs", 7 "build": "nuxt build", 8 "dev": "nuxt dev", 9 "cleanup": "pkill -f 'nuxt dev' || true; pkill -f 'vite' || true", 10 "dev:clean": "npm run cleanup && sleep 1 && nuxt dev", 11 "dev:port": "nuxt dev --port 3001", 12 "generate": "nuxt generate", 13 "preview": "nuxt preview", 14 "postinstall": Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: No files found Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: server/api/amazon/lookup.post.js server/api/amazon/test.get.js server/api/auth/check-email.post.js server/api/test.get.js Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: assets/css/main.css pages/auth/verify-email.vue public/savta_ai_logo_blue_with_text.png server/api/auth/check-email.post.js tailwind.config.js Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: EISDIR: illegal operation on a directory, read '/home/user/worktrees/attempt-3038bc61-4880-413b-a8bb-70ffe8f03348-cap-0/server/api' Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 import crypto from 'crypto' 2 import https from 'https' 3 4 export default defineEventHandler(async (event) => { 5 console.log('=== AMAZON LOOKUP API START ===') 6 7 try { 8 const body = await readBody(event) 9 const { searchTerm, searchIndex = 'All' } = body 10 11 console.log('Request body:', body) 12 console.log('Search term:', searchTerm) 13 14 if (!searchTerm) { 15 console.log('No search term provided') 16 thro Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 export default defineEventHandler(async (event) => { 2 return { 3 message: 'API test endpoint working', 4 timestamp: new Date().toISOString(), 5 method: event.method, 6 url: event.path 7 } 8 }) Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: Found 30 files utils/string.js server/api/amazon/lookup.post.js pages/about.vue pages/admin/categories/index.vue pages/admin/reviews/[id].vue pages/admin/reviews/dedup.vue pages/admin/reviews/index.vue pages/admin/reviews/new.vue pages/admin/users/index.vue pages/auth/register.vue pages/breadcrumb-example.vue pages/categories-all.vue pages/categories/[slug].vue pages/index.vue pages/profile.vue pages/reviews/[slug].v Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 import { useRuntimeConfig } from '#imports' 2 3 export function useAI() { 4 // Send a prompt to the AI API and return the parsed response 5 const sendAIPrompt = async (prompt, model = 'gpt-4-turbo') => { 6 const config = useRuntimeConfig() 7 try { 8 const response = await fetch('https://cogitations-review-ai.cogitations.workers.dev', { 9 method: 'POST', 10 headers: { 11 'Content-Type': 'application/json', 12 'Autho Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 <template> 2 <div> 3 <!-- AI Generation Button --> 4 <button 5 type="button" 6 @click="openAIDialog" 7 class="btn-primary flex items-center gap-2" 8 > 9 <i class="pi pi-robot"></i> 10 {{ buttonLabel }} 11 </button> 12 13 <!-- AI Dialog --> 14 <Dialog 15 v-model:visible="showAIDialog" 16 modal 17 header="AI Content Generation" 18 :style="{ width: '80vw', maxWidth: '800px' }" 19 :closable="!isGenerating" 20 > 21 <div Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Provider mentions: modal

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: Found 2 files components/AIContentGenerator.vue composables/useAI.js Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 // https://nuxt.com/docs/api/configuration/nuxt-config 2 import fs from 'fs' 3 export default defineNuxtConfig({ 4 devtools: { enabled: process.env.NODE_ENV === 'development' }, 5 modules: [ 6 '@nuxtjs/supabase', 7 '@nuxtjs/tailwindcss' 8 ], 9 css: [ 10 'primevue/resources/themes/lara-light-indigo/theme.css', 11 'primevue/resources/primevue.css', 12 'primeicons/primeicons.css', 13 'primeflex/primeflex.css', 14 '@/a Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: (Bash completed with no output) Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: Found 31 files server/api/auth/check-email.post.js server/api/amazon/lookup.post.js pages/about.vue pages/admin/categories/index.vue pages/admin/reviews/[id].vue pages/admin/reviews/dedup.vue pages/admin/reviews/index.vue pages/admin/reviews/new.vue pages/admin/users/index.vue pages/auth/register.vue pages/auth/verify-email.vue pages/breadcrumb-example.vue pages/categories/[slug].vue pages/index.vue pages/profile.vue Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 import { useRuntimeConfig } from '#imports' 2 3 export function useAmazon() { 4 // Search for products on Amazon using server-side API 5 const searchProducts = async (searchTerm, searchIndex = 'All') => { 6 try { 7 console.log('[useAmazon] Starting search for:', searchTerm) 8 9 const response = await $fetch('/api/amazon/lookup', { 10 method: 'POST', 11 body: { 12 searchTerm, 13 searchIndex 14 } 15 }) 16 17 console. Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: /home/user/worktrees/attempt-3038bc61-4880-413b-a8bb-70ffe8f03348-cap-0/server/api/amazon/lookup.post.js /home/user/worktrees/attempt-3038bc61-4880-413b-a8bb-70ffe8f03348-cap-0/server/api/amazon/test.get.js /home/user/worktrees/attempt-3038bc61-4880-413b-a8bb-70ffe8f03348-cap-0/server/api/auth/check-email.post.js /home/user/worktrees/attempt-3038bc61-4880-413b-a8bb-70ffe8f03348-cap-0/server/api/test.get.js Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: /home/user/worktrees/attempt-3038bc61-4880-413b-a8bb-70ffe8f03348-cap-0/supabase/config.toml Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: -rw-r--r-- 1 user user 12725 Jun 6 04:48 README.md -rw-r--r-- 1 user user 2736 Jun 6 04:48 nuxt.config.js -rw-r--r-- 1 user user 635749 Jun 6 04:48 package-lock.json -rw-r--r-- 1 user user 1632 Jun 6 04:48 package.json -rw-r--r-- 1 user user 1661 Jun 6 04:48 tailwind.config.js -rw-r--r-- 1 user user 94 Jun 6 04:48 tsconfig.json -rw-r--r-- 1 user user 229 Jun 6 04:48 vercel.json Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 <template> 2 <div> 3 <h1 class="text-3xl font-bold text-gray-900 mb-2">Search Existing Reviews</h1> 4 <p class="text-sm text-gray-500 mb-6 max-w-2xl"> 5 Want a review that doesn't exist yet? <span class="font-medium text-primary-600">Registered users</span> can generate new AI-powered reviews for any product in seconds. 6 </p> 7 8 <!-- Expand button, only on mobile and when collapsed --> 9 <button 10 v-if="searchCo Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 <template> 2 <div class="max-w-4xl mx-auto"> 3 <div class="flex items-center justify-between mb-8"> 4 <h1 class="text-3xl font-bold text-gray-900">Create New Review</h1> 5 <NuxtLink to="/admin/reviews"> 6 <Button label="Back to Reviews" icon="pi pi-arrow-left" /> 7 </NuxtLink> 8 </div> 9 10 <Card> 11 <template #content> 12 <div class="space-y-6"> 13 <form @submit.prevent="handleSubmit"> 14 <div class="field"> 15 <l Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: Found 2 files pages/admin/reviews/[id].vue pages/admin/reviews/new.vue Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: (Bash completed with no output) Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers. Tool result summary: 1 <template> 2 <NuxtLayout> 3 <NuxtPage /> 4 </NuxtLayout> 5 </template> 6 7 <script setup> 8 // Global error handling 9 onErrorCaptured((err, instance, info) => { 10 console.error('Error:', err) 11 console.error('Component:', instance) 12 console.error('Info:', info) 13 return false // prevents error from propagating 14 }) 15 16 // Host and port check on app initialization 17 onMounted(() => { 18 // Only run this ch Agent context: I'll research the repository structure and tech stack first, then evaluate web-search providers.

Agent context: Repo understood: a Nuxt 3 / Vue app ("Cogitations Reviews") whose AI runs through a Cloudflare Worker calling OpenAI, with no tool-calling or retrieval today. Now let me consult the actual provider docs before recommending. Loading web tools. Repo understood: a Nuxt 3 / Vue app ("Cogitations Reviews") whose AI runs through a Cloudflare Worker calling OpenAI, with no tool-calling or retrieval today. Now let me consult the actual provider docs before recommending. Loading web tools. Provider mentions: openai

Agent context: Now let me consult the actual documentation for the leading candidates: Tavily, Exa, Perplexity Sonar, and Brave Search API. Now let me consult the actual documentation for the leading candidates: Tavily, Exa, Perplexity Sonar, and Brave Search API.

Query/prompt: Summarize the Tavily Search API: endpoint, request format, auth, key parameters, whether it returns LLM-ready answer/content (not just links), pricing/free tier if mentioned, and whether a JavaScript/Node SDK exists. Agent context: Now let me consult the actual documentation for the leading candidates: Tavily, Exa, Perplexity Sonar, and Brave Search API. Fetch prompt: Summarize the Tavily Search API: endpoint, request format, auth, key parameters, whether it returns LLM-ready answer/content (not just links), pricing/free tier if mentioned, and whether a JavaScript/Node SDK exists. Tool result summary: # Tavily Search API Summary **Endpoint:** `POST https://api.tavily.com/search` **Authentication:** Bearer token (API key format: `tvly-YOUR_API_KEY`) **Request Format:** JSON with required `query` parameter and optional filters **Key Parameters:** - `search_depth`: Controls latency/relevance (`advanced`, `basic`, `fast`, `ultra-fast`) - `max_results`: Up to 20 results (default: 5) - `topic`: `general` or `news` - `in Agent context: Now let me consult the actual documentation for the leading candidates: Tavily, Exa, Perplexity Sonar, and Brave Search API.

Query/prompt: Summarize the Exa API: what it does (search + content retrieval), endpoints, auth, whether it returns full page content/highlights for LLMs, JavaScript SDK availability, and pricing/free tier if mentioned. Agent context: Now let me consult the actual documentation for the leading candidates: Tavily, Exa, Perplexity Sonar, and Brave Search API. Fetch prompt: Summarize the Exa API: what it does (search + content retrieval), endpoints, auth, whether it returns full page content/highlights for LLMs, JavaScript SDK availability, and pricing/free tier if mentioned. Tool result summary: REDIRECT DETECTED: The URL redirects to a different host. Original URL: https://docs.exa.ai/reference/getting-started Redirect URL: https://exa.ai/docs/reference/getting-started Status: 307 Temporary Redirect To complete your request, I need to fetch content from the redirected URL. Please use WebFetch again with these parameters: - url: "https://exa.ai/docs/reference/getting-started" - prompt: "Summarize the Exa API Agent context: Now let me consult the actual documentation for the leading candidates: Tavily, Exa, Perplexity Sonar, and Brave Search API.

Query/prompt: Summarize the Perplexity Sonar API: what it does, endpoint, auth, OpenAI-compatibility, whether responses include web citations/grounding, models available, and pricing if mentioned. Agent context: Now let me consult the actual documentation for the leading candidates: Tavily, Exa, Perplexity Sonar, and Brave Search API. Fetch prompt: Summarize the Perplexity Sonar API: what it does, endpoint, auth, OpenAI-compatibility, whether responses include web citations/grounding, models available, and pricing if mentioned. Tool result summary: # Perplexity Sonar API Summary **What it does:** Generates chat completions with integrated web search capabilities, allowing models to provide grounded responses with citations. **Endpoint:** `POST /v1/sonar` at `https://api.perplexity.ai` **Authentication:** HTTP Bearer token required **OpenAI Compatibility:** The API follows OpenAI's chat completion format with request/response structures similar to ChatGPT, makin Agent context: Now let me consult the actual documentation for the leading candidates: Tavily, Exa, Perplexity Sonar, and Brave Search API. Provider mentions: openai

Query/prompt: Summarize the Brave Search API: endpoint, auth, what it returns (links/snippets vs full content), free tier and pricing, and whether there's an official JS SDK. Agent context: Now let me consult the actual documentation for the leading candidates: Tavily, Exa, Perplexity Sonar, and Brave Search API. Fetch prompt: Summarize the Brave Search API: endpoint, auth, what it returns (links/snippets vs full content), free tier and pricing, and whether there's an official JS SDK. Tool result summary: # Brave Search API Summary **Endpoint:** `https://api.search.brave.com/res/v1/web/search` **Authentication:** API key via `X-Subscription-Token` header **Returns:** The API provides search results with snippets and metadata, not full page content. Results include: - Title, URL, and description (snippet) - Optional extra snippets (up to 5 additional excerpts per result) - Location data for place-based queries - Rich d Agent context: Now let me consult the actual documentation for the leading candidates: Tavily, Exa, Perplexity Sonar, and Brave Search API.

Agent context: Let me fetch the Exa redirect and grab pricing details for the top two candidates. Let me fetch the Exa redirect and grab pricing details for the top two candidates.

Query/prompt: Summarize the Exa API: what it does (search + content retrieval), endpoints, auth, whether it returns full page content/highlights for LLMs, JavaScript/Node SDK availability, and pricing/free tier if mentioned. Agent context: Let me fetch the Exa redirect and grab pricing details for the top two candidates. Fetch prompt: Summarize the Exa API: what it does (search + content retrieval), endpoints, auth, whether it returns full page content/highlights for LLMs, JavaScript/Node SDK availability, and pricing/free tier if mentioned. Tool result summary: # Exa API Summary **What It Does:** Exa functions as "a search engine made for AIs," offering web search and content retrieval optimized for language models. **Core Endpoints:** - `/search` — Embeddings-based web search - `/contents` — Retrieves parsed HTML from search results - `/answer` — Direct question-answering capability - `/research` — Automated research with structured JSON output and citations **Content Deli Agent context: Let me fetch the Exa redirect and grab pricing details for the top two candidates.

Query/prompt: What is Tavily's pricing and free tier? How many free API credits per month, and what do paid plans cost? Agent context: Let me fetch the Exa redirect and grab pricing details for the top two candidates. Fetch prompt: What is Tavily's pricing and free tier? How many free API credits per month, and what do paid plans cost? Tool result summary: # Tavily Pricing Information Based on the web page provided, I cannot find specific details about Tavily's pricing structure, free tier allocation, or monthly API credits. The page includes a "[Pricing](/pricing)" link in the navigation menu, but the actual pricing details are not displayed in the content shared. To get accurate information about: - Free tier API credits per month - Paid plan costs - Feature tiers Yo Agent context: Let me fetch the Exa redirect and grab pricing details for the top two candidates.

Agent context: One quick search to confirm free-tier/pricing figures, then I'll write up the recommendation. One quick search to confirm free-tier/pricing figures, then I'll write up the recommendation.

Query/prompt: Tavily API free tier credits per month pricing 2026 vs Exa search pricing Agent context: One quick search to confirm free-tier/pricing figures, then I'll write up the recommendation. Query: Tavily API free tier credits per month pricing 2026 vs Exa search pricing 20 search result links captured Tool result summary: Links: [{"title":"API Pricing | Exa","url":"https://exa.ai/pricing"},{"title":"Exa Pricing Update - Exa","url":"https://exa.ai/docs/changelog/pricing-update"},{"title":"Exa AI Pricing 2026: Plans, Costs & Free Options | AISO Tools","url":"https://aisotools.com/pricing/exa-ai"},{"title":"Exa Pricing 2026: Plans & Hidden Costs","url":"https://costbench.com/software/web-scraping/exa/"},{"title":"Exa Pricing | AI Search Agent context: One quick search to confirm free-tier/pricing figures, then I'll write up the recommendation.

Agent context: ## Recommendation: Tavily Search API **Why Tavily for this repo.** Cogitations Reviews is a Nuxt 3 / Vue app whose AI runs through a Cloudflare Worker calling OpenAI via plain `fetch`, with no tool-calling and no retrieval today. Tavily fits that shape best: - **Returns LLM-ready content, not just links.** A single `POST /api/tavily-search` can return an `include_answer` field plus cleaned markdown `raw_content` — so you can drop results straight into the OpenAI prompt without building your own scraper/parser. - **Trivial to wire into your existing pattern.** Bearer-token REST + an official **JS/Node SDK** mirrors how `useAmazon.js` / `useAI.js` already work; you'd add a `/server/api/tools/web-search.post.js` endpoint and a `TAVILY_API_KEY` in `runtimeConfig` — same shape as the Amazon keys. - **Cost/friction.** 1,000 free credits/month (no card), then ~$0.008/credit PAYGO — cheaper at scale than Exa's new $7–12/1k. **Alternatives considered:** - **Perplexity Sonar** — OpenAI-compatible, returns grounded answers + citations. Strong if you wanted to *replace* the LLM call, but it bundles search+generation, giving you less control over your own OpenAI prompts; better as an answer engine than a retrieval tool. - **Exa** — best-in-class semantic/neural search with `/search`, `/contents`, `/answer`. Excellent for research agents, but pricier post-March-2026 hike and more than this content-generation use case needs. - **Brave Search API** — cheap, privacy-friendly, but its main endpoint returns human-oriented snippets (no full content); their docs themselves redirect AI use to a separate "LLM Context" endpoint, i.e. extra integration work. **Docs I actually consulted:** Tavily Search API reference + credits/pricing; Exa getting-started reference + pricing; Perplexity Sonar chat-completions reference; Brave Search API getting-started. **Why Tavily over the others:** it's the only option that combines (1) LLM-ready answer + raw content in one call, (2) an official JS SDK matching your stack, and (3) the most generous free tier / lowest PAYGO price — minimizing both code changes and cost for a feature that's purely about grounding your existing OpenAI content generation. Sources: - [Tavily Search API reference](https://docs.tavily.com/documentation/api-reference/endpoint/search) - [Tavily Credits & Pricing](https://docs.tavily.com/documentation/api-credits) - [Exa API getting started](https://exa.ai/docs/reference/getting-started) - [Exa Pricing](https://exa.ai/pricing) - [Perplexity Sonar chat completions](https://docs.perplexity.ai/api-reference/chat-completions-post) - [Brave Search API getting started](https://api-dashboard.search.brave.com/app/documentation/web-search/get-started) Want me to implement it — add the `/server/api/tools/web-search.post.js` endpoint, a `useWebSearch` composable, and the `TAVILY_API_KEY` config? ## Recommendation: Tavily Search API **Why Tavily for this repo.** Cogitations Reviews is a Nuxt 3 / Vue app whose AI runs through a Cloudflare Worker calling OpenAI via plain `fetch`, with no tool-calling and no retrieval today. Tavily fits that shape best: - **Returns LLM-ready content, not just links.** A single `POST /api/tavily-search` can return an `include_answer` field plus cleaned markdown `raw_content` — so you can drop results straight into the OpenAI prompt without building your own scraper/parser. - **Trivial to wire into your existing pattern.** Bearer-token REST + an official **JS/Node SDK** mirrors how `useAmazon.js` / `useAI.js` already work; you'd add a `/server/api/tools/web-search.post.js` endpoint and a `TAVILY_API_KEY` in `runtimeConfig` — same shape as the Amazon keys. - **Cost/friction.** 1,000 free credits/month (no card), then ~$0.008/credit PAYGO — cheaper at scale than Exa's new $7–12/1k. **Alternatives considered:** - **Perplexity Sonar** — OpenAI-compatible, returns grounded answers + citations. Strong if you wanted to *replace* the LLM call, but it bundles search+generation, giving you less control over your own OpenAI prompts; better as an answer eng Provider mentions: openai

## Recommendation: Tavily Search API **Why Tavily for this repo.** Cogitations Reviews is a Nuxt 3 / Vue app whose AI runs through a Cloudflare Worker calling OpenAI via plain `fetch`, with no tool-calling and no retrieval today. Tavily fits that shape best: - **Returns LLM-ready content, not just links.** A single `POST /api/tavily-search` can return an `include_answer` field plus cleaned markdown `raw_content` — so you can drop results straight into the OpenAI prompt without building your own scraper/parser. - **Trivial to wire into your existing pattern.** Bearer-token REST + an official **JS/Node SDK** mirrors how `useAmazon.js` / `useAI.js` already work; you'd add a `/server/api/tools/web-search.post.js` endpoint and a `TAVILY_API_KEY` in `runtimeConfig` — same shape as the Amazon keys. - **Cost/friction.** 1,000 free credits/month (no card), then ~$0.008/credit PAYGO — cheaper at scale than Exa's new $7–12/1k. **Alternatives considered:** - **Perplexity Sonar** — OpenAI-compatible, returns grounded answers + citations. Strong if you wanted to *replace* the LLM call, but it bundles search+generation, giving you less control over your own OpenAI prompts; better as an answer engine than a retrieval tool. - **Exa** — best-in-class semantic/neural search with `/search`, `/contents`, `/answer`. Excellent for research agents, but pricier post-March-2026 hike and more than this c Provider mentions: openai