Run

P3F

5a33db140d253f47da3f07ad1475938c14dfda45

Agent context: I’ll inspect the repository first to understand the agent’s runtime and integration points, then I’ll check current provider docs so the recommendation is grounded in both this codebase and provider capabilities. I’ll inspect the repository first to understand the agent’s runtime and integration points, then I’ll check current provider docs so the recommendation is grounded in both this codebase and provider capabilities.

Agent context: I’ll inspect the repository first to understand the agent’s runtime and integration points, then I’ll check current provider docs so the recommendation is grounded in both this codebase and provider capabilities.

Agent context: I’ll inspect the repository first to understand the agent’s runtime and integration points, then I’ll check current provider docs so the recommendation is grounded in both this codebase and provider capabilities. exit code 0

Agent context: I’ll inspect the repository first to understand the agent’s runtime and integration points, then I’ll check current provider docs so the recommendation is grounded in both this codebase and provider capabilities.

Agent context: I’ll inspect the repository first to understand the agent’s runtime and integration points, then I’ll check current provider docs so the recommendation is grounded in both this codebase and provider capabilities. exit code 0 Output: /home/user/worktrees/attempt-841e19f5-ece2-457b-992f-acfa19507431-cap-2 /bin/bash: line 1: rg: command not found

Agent context: I’ll inspect the repository first to understand the agent’s runtime and integration points, then I’ll check current provider docs so the recommendation is grounded in both this codebase and provider capabilities. Provider mentions: browserbase

Agent context: I’ll inspect the repository first to understand the agent’s runtime and integration points, then I’ll check current provider docs so the recommendation is grounded in both this codebase and provider capabilities. exit code 127 Output: /bin/bash: line 1: rg: command not found Provider mentions: browserbase

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. I’m looking for the agent’s package boundaries and any existing URL or browser tooling before picking a managed provider. `rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. I’m looking for the agent’s package boundaries and any existing URL or browser tooling before picking a managed provider.

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. I’m looking for the agent’s package boundaries and any existing URL or browser tooling before picking a managed provider.

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. I’m looking for the agent’s package boundaries and any existing URL or browser tooling before picking a managed provider. exit code 0 Output: ./README.md ./package.json

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. I’m looking for the agent’s package boundaries and any existing URL or browser tooling before picking a managed provider.

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. I’m looking for the agent’s package boundaries and any existing URL or browser tooling before picking a managed provider. exit code 0 Output: .git .eslintrc.json .gitignore README.md components/Answer.tsx components/Search.tsx license next.config.js package-lock.json package.json pages/_app.tsx pages/_document.tsx pages/api/answer.ts pages/api/sources.ts pages/index.tsx postcss.config.js public/favicon.png public/screenshot.png styles/globals.css tailwind.config.js tsconfig.json types/index.ts utils/answer.ts utils/sources.ts

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. I’m looking for the agent’s package boundaries and any existing URL or browser tooling before picking a managed provider. Provider mentions: browserbase

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. I’m looking for the agent’s package boundaries and any existing URL or browser tooling before picking a managed provider. exit code 0 Output: ./.eslintrc.json:2: "extends": "next/core-web-vitals" ./README.md:11:Given a query, Clarity fetches relevant, up-to-date information from the web and uses OpenAI's API to generate an answer. ./README.md:16:2. Scrape Google for relevant webpages ./README.md:17:3. Parse webpages for text ./README.md:18:4. Build prompt using query + webpage text ./components/Search.tsx:27: const sources = await fetchSources(); ./components/Search.tsx:31: const fetchSources = async () => { ./components/Search.tsx:32: const response = await fetch("/api/sources", { ./components/Search.tsx:57: const response = await fetch("/api/answer", { ./components/Search.tsx:71: onSearch({ query, sourceLinks: sources.map((source) => source.url) }); ./package-lock.json:69: "url": "https://opencollective.com/eslint" ./package-lock.json:94: "url": "https://github.com/sponsors/nzakas" ./package-lock.json:371: "url": "https://op Provider mentions: openai, browserbase

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow.

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow.

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. exit code 0 Output: # Clarity AI Clarity is simple [perplexity.ai](https://www.perplexity.ai/) clone. Use the code for whatever you like! :) If you have any questions, feel free to reach out to me on [Twitter](https://twitter.com/mckaywrigley). [](https://clarity-ai.vercel.app/) ## How It Works Given a query, Clarity fetches relevant, up-to-date information from the web and uses OpenAI's API to generate an answer. The app works as follows: 1. Get query from user 2. Scrape Google for relevant webpages 3. Parse webpages for text 4. Build prompt using query + webpage text 5. Call OpenAI API to generate answer 6. Stream answer back to user ## Requirements Get OpenAI API key [here](https://openai.com/api/). ## Running Locally 1. Clone repo ```bash git clone https://github.com/mckaywrigley/clarity-ai.git ``` 2. Install dependencies ```bash npm i ``` 3. Run app ```bash npm run Provider mentions: openai

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow.

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. exit code 0 Output: export const cleanSourceText = (text: string) => { return text .trim() .replace(/(\n){4,}/g, "\n\n\n") .replace(/\n\n/g, " ") .replace(/ {3,}/g, " ") .replace(/\t/g, "") .replace(/\n+(\s*\n)*/g, "\n"); };

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow.

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. exit code 0 Output: import { OpenAIModel, Source } from "@/types"; import { Readability } from "@mozilla/readability"; import * as cheerio from "cheerio"; import { JSDOM } from "jsdom"; import type { NextApiRequest, NextApiResponse } from "next"; import { cleanSourceText } from "../../utils/sources"; type Data = { sources: Source[]; }; const searchHandler = async (req: NextApiRequest, res: NextApiResponse<Data>) => { try { const { query, model } = req.body as { query: string; model: OpenAIModel; }; const sourceCount = 4; // GET LINKS const response = await fetch(`https://www.google.com/search?q=${query}`); const html = await response.text(); const $ = cheerio.load(html); const linkTags = $("a"); let links: string[] = []; linkTags.each((i, link) => { const href = $(link).attr("href"); if (href && href.startsWith("/url?q=")) { const cleanedHref = href.replace("/url?q=", "").split("&")[0]; if (!links.includes(

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow.

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. exit code 0 Output: { "name": "frontend", "version": "0.1.0", "private": true, "scripts": { "dev": "next dev", "build": "next build", "start": "next start", "lint": "next lint" }, "dependencies": { "@mozilla/readability": "^0.4.2", "@next/font": "13.1.6", "@tabler/icons": "^2.4.0", "@tabler/icons-react": "^2.4.0", "@types/node": "18.14.0", "@types/react": "18.0.28", "@types/react-dom": "18.0.11", "cheerio": "^1.0.0-rc.12", "endent": "^2.1.0", "eslint": "8.34.0", "eslint-config-next": "13.1.6", "eventsource-parser": "^0.1.0", "jsdom": "^21.1.0", "next": "13.1.6", "openai": "^3.1.0", "react": "18.2.0", "react-dom": "18.2.0", "typescript": "4.9.5" }, "devDependencies": { "@types/jsdom": "^21.1.0", "autoprefixer": "^10.4.13", "postcss": "^8.4.21", "tailwindcss": "^3.2.7" } } Provider mentions: openai

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow.

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. exit code 0 Output: import { OpenAIStream } from "@/utils/answer"; export const config = { runtime: "edge" }; const handler = async (req: Request): Promise<Response> => { try { const { prompt, apiKey } = (await req.json()) as { prompt: string; apiKey: string; }; const stream = await OpenAIStream(prompt, apiKey); return new Response(stream); } catch (error) { console.error(error); return new Response("Error", { status: 500 }); } }; export default handler;

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow.

Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. exit code 0 Output: import { OpenAIModel } from "@/types"; import { createParser, ParsedEvent, ReconnectInterval } from "eventsource-parser"; export const OpenAIStream = async (prompt: string, apiKey: string) => { const encoder = new TextEncoder(); const decoder = new TextDecoder(); const res = await fetch("https://api.openai.com/v1/chat/completions", { headers: { "Content-Type": "application/json", Authorization: `Bearer ${apiKey}` }, method: "POST", body: JSON.stringify({ model: OpenAIModel.DAVINCI_TURBO, messages: [ { role: "system", content: "You are a helpful assistant that accurately answers the user's queries based on the given text." }, { role: "user", content: prompt } ], max_tokens: 120, temperature: 0.0, stream: true }) }); if (res.status !== 200) { throw new Error("OpenAI API returned an error"); } const stream = new ReadableStream({ async start(controller) { const onParse = (event: ParsedEvent Provider mentions: openai

Query/prompt: Firecrawl scrape API documentation markdown javascript rendering wait actions Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. Query: Firecrawl scrape API documentation markdown javascript rendering wait actions Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. Expanded queries: Firecrawl scrape API documentation markdown javascript rendering wait actions | Tavily Extract API documentation include images javascript render | Exa contents API documentation livecrawl text html markdown | Jina AI Reader API documentation URL markdown

Query/prompt: Browserbase docs browser rendering extract markdown API Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. Query: Browserbase docs browser rendering extract markdown API Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. Expanded queries: Browserbase docs browser rendering extract markdown API | Browserless scraping API docs content markdown JavaScript rendering | ScrapingBee API docs render_js extract_rules markdown | Bright Data web scraper API docs markdown extraction JavaScript rendering Provider mentions: browserbase

Query/prompt: https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. Query: https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow.

Query/prompt: https://docs.browserless.io/rest-apis/intro Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. Query: https://docs.browserless.io/rest-apis/intro Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow.

Query/prompt: Firecrawl docs batch scrape crawl search API markdown JavaScript at scale Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. Query: Firecrawl docs batch scrape crawl search API markdown JavaScript at scale Agent context: The repo is a small Next.js app named Clarity. It currently does Google result discovery and local HTML parsing, so the provider choice mainly affects `utils/sources.ts` and the `/api/sources` workflow. Expanded queries: Firecrawl docs batch scrape crawl search API markdown JavaScript at scale | Firecrawl docs scrape page options onlyMainContent markdown waitFor proxy actions JavaScript | Firecrawl docs search API full page markdown included | Firecrawl docs batch scrape API async webhook markdown

Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. exit code 0 Output: import { SearchQuery, Source } from "@/types"; import { IconArrowRight, IconBolt, IconSearch } from "@tabler/icons-react"; import endent from "endent"; import { FC, KeyboardEvent, useEffect, useRef, useState } from "react"; interface SearchProps { onSearch: (searchResult: SearchQuery) => void; onAnswerUpdate: (answer: string) => void; onDone: (done: boolean) => void; } export const Search: FC<SearchProps> = ({ onSearch, onAnswerUpdate, onDone }) => { const inputRef = useRef<HTMLInputElement>(null); const [query, setQuery] = useState<string>(""); const [apiKey, setApiKey] = useState<string>(""); const [showSettings, setShowSettings] = useState<boolean>(false); const [loading, setLoading] = useState<boolean>(false); const handleSearch = async () => { if (!query) { alert("Please enter a query"); return; } setLoading(true); const sources = await fetchSources(); await handleStream(sources); } Provider mentions: openai

Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. exit code 0 Output: export enum OpenAIModel { DAVINCI_TURBO = "gpt-3.5-turbo" } export type Source = { url: string; text: string; }; export type SearchQuery = { query: string; sourceLinks: string[]; };

Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. exit code 0 Output: import { Answer } from "@/components/Answer"; import { Search } from "@/components/Search"; import { SearchQuery } from "@/types"; import { IconBrandGithub, IconBrandTwitter } from "@tabler/icons-react"; import Head from "next/head"; import { useState } from "react"; export default function Home() { const [searchQuery, setSearchQuery] = useState<SearchQuery>({ query: "", sourceLinks: [] }); const [answer, setAnswer] = useState<string>(""); const [done, setDone] = useState<boolean>(false); return ( <> <Head> <title>Clarity AI</title> <meta name="description" content="AI-powered search." /> <meta name="viewport" content="width=device-width, initial-scale=1" /> <link rel="icon" href="/favicon.png" /> </Head> <div className="h-screen overflow-auto bg-[#18181C] text-[#D4D4D8]"> <a className="absolute top-0 right-12 p-4 cursor-pointer" href="https://twitter.com/mckaywrigley" target="_blank" re

Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. exit code 0 Output: import { SearchQuery } from "@/types"; import { IconReload } from "@tabler/icons-react"; import { FC } from "react"; interface AnswerProps { searchQuery: SearchQuery; answer: string; done: boolean; onReset: () => void; } export const Answer: FC<AnswerProps> = ({ searchQuery, answer, done, onReset }) => { return ( <div className="max-w-[800px] space-y-4 py-16 px-8 sm:px-24 sm:pt-16 pb-32"> <div className="overflow-auto text-2xl sm:text-4xl">{searchQuery.query}</div> <div className="border-b border-zinc-800 pb-4"> <div className="text-md text-blue-500">Answer</div> <div className="mt-2 overflow-auto">{replaceSourcesWithLinks(answer, searchQuery.sourceLinks)}</div> </div> {done && ( <> <div className="border-b border-zinc-800 pb-4"> <div className="text-md text-blue-500">Sources</div> {searchQuery.sourceLinks.map((source, index) => ( <div key={index} className="mt-1 overflow-auto" > {`[${in

Query/prompt: Jina AI Reader API docs r.jina.ai reader documentation Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. Query: Jina AI Reader API docs r.jina.ai reader documentation Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. Expanded queries: Jina AI Reader API docs r.jina.ai reader documentation | Bright Data docs Web Unlocker API markdown JavaScript rendering scrape markdown | Firecrawl API reference batch scrape v2 docs | Firecrawl API reference search scrape options markdown

Query/prompt: https://jina.ai/en-US/reader/ Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. Query: https://jina.ai/en-US/reader/ Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Query/prompt: https://docs.firecrawl.dev/api-reference/v2-introduction Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. Query: https://docs.firecrawl.dev/api-reference/v2-introduction Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Query/prompt: https://docs.firecrawl.dev/api-reference/endpoint/scrape Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. Query: https://docs.firecrawl.dev/api-reference/endpoint/scrape Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Query/prompt: https://docs.firecrawl.dev/api-reference/endpoint/batch-scrape Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. Query: https://docs.firecrawl.dev/api-reference/endpoint/batch-scrape Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Query/prompt: https://docs.tavily.com/sdk/javascript/reference Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. Query: https://docs.tavily.com/sdk/javascript/reference Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Query/prompt: https://exa.ai/docs/reference/livecrawling-contents Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. Query: https://exa.ai/docs/reference/livecrawling-contents Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Query/prompt: https://exa.ai/docs/reference/livecrawling-contents Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route. Query: https://exa.ai/docs/reference/livecrawling-contents Agent context: I have enough repo context now: this is not a browser-agent repo yet; it is a search-answer app whose “agent” gets source text from `pages/api/sources.ts`. I’m checking the provider docs for URL-to-markdown extraction, JS rendering behavior, batching/crawling, and integration friction in a Next.js API route.

Agent context: **Recommendation** Use **Firecrawl hosted API** as the web-page fetching/extraction provider. This repo currently does Google scraping, raw `fetch(link)`, `JSDOM`, and Mozilla Readability inside [pages/api/sources.ts](/home/user/worktrees/attempt-841e19f5-ece2-457b-992f-acfa19507431-cap-2/pages/api/sources.ts:1). That will miss many JS-rendered pages and can return brittle/noisy text. Firecrawl is the best fit because it can replace both the URL discovery and page extraction path with one hosted API built for LLM-ready markdown. I’d integrate it either as: - `/v2/search` with `scrapeOptions` returning markdown, replacing the current Google scrape path. - `/v2/scrape` or `/v2/batch/scrape` for URLs the agent already has. Use `formats: ["markdown"]`, `onlyMainContent: true`, likely `onlyCleanContent: true`, `blockAds: true`, `removeBase64Images: true`, `proxy: "auto"`, and a modest `waitFor` only when needed. **Why Firecrawl** Firecrawl’s docs show the exact shape this repo needs: scrape any webpage into markdown or JSON, search with full-page markdown, batch scrape many URLs, crawl whole sites, and use browser-style actions when dynamic pages need waiting, clicking, scrolling, or JS execution. Its scrape API defaults to main-content extraction and has an extra cleanup pass for residual boilerplate like cookie banners, ads, social widgets, breadcrumbs, newsletter boxes, and related-article blocks while preserving headings, lists, tables, code blocks, images, and links. It also has cache, timeout, PDF parsing, ad/cookie popup blocking, location/proxy controls, and automatic proxy retry options. Sources: Firecrawl intro, scrape, search, and batch scrape docs: https://docs.firecrawl.dev/api-reference/v2-introduction, https://docs.firecrawl.dev/api-reference/endpoint/scrape, https://docs.firecrawl.dev/api-reference/endpoint/search, https://docs.firecrawl.dev/api-reference/endpoint/batch-scrape. **Main Alternatives Considered** - **Browserless Smart Scrape**: very strong for hostile or JS-heavy pages because it escalates from HTTP fetch to proxy, headless browser, and captcha solving, and can return markdown. I would choose it if the primary requirement were anti-bot browser reliability over LLM-clean extraction. Firecrawl is a better default here because the repo needs clean source text for answer synthesis, not general browser automation. Docs consulted: https://docs.browserless.io/rest-apis/smart-scrape. - **Bright Data Web Unlocker**: excellent unblocking infrastructure, CAPTCHA handling, browser rendering, and markdown output. More operationally heavy: zones, proxy/unlocker configuration, and less focused on LLM-readable main-content extraction. Docs consulted: https://docs.brightdata.com/scraping-automation/web-unlocker/features and https://docs.brightdata.com/api-reference/rest-api/unlocker/unlock-website. - **Jina Reader**: very simple URL-to-LLM-text API with browser rendering and high scale. Good fallback or low-friction option, but less configurable for dynamic interactions, proxy strategy, batching, search-to-full-content, and cleanup policy. Docs consulted: https://jina.ai/en-US/reader/. - **Tavily Extract/Search**: good agent-search product, supports extraction for up to 20 URLs and advanced extraction. Less compelling for arbitrary JS-heavy page rendering and faithful full-page markdown. Docs consulted: https://docs.tavily.com/sdk/javascript/reference and https://help.tavily.com/articles/8721959612-what-is-the-tavily-extract-api. - **Exa Contents/Search**: strong search/retrieval product with freshness controls and cached/livecrawl behavior, but it is more search-index/content retrieval oriented than a managed rendered-page extraction layer. Docs consulted: https://exa.ai/docs/reference/livecrawling-contents. - **Browserbase Fetch**: not a fit for the stated requirement because its Fetch API explicitly does not execute JavaScript; JS-heavy pages require a browser session, which adds more code. Docs consulted: https://docs.browserbase.com/platform/fetch/overview. **Bottom Line** Choose **Firecrawl hosted API**. It best matches this repo’s needs: minimal Next.js API-route boilerplate, clean markdown for the existing prompt pipeline, better dynamic-page handling than raw `fetch`/Readability, and room to scale from four URLs today to batch scrape, search, crawl, and interactive extraction later. **Recommendation** Use **Firecrawl hosted API** as the web-page fetching/extraction provider. This repo currently does Google scraping, raw `fetch(link)`, `JSDOM`, and Mozilla Readability inside [pages/api/sources.ts](/home/user/worktrees/attempt-841e19f5-ece2-457b-992f-acfa19507431-cap-2/pages/api/sources.ts:1). That will miss many JS-rendered pages and can return brittle/noisy text. Firecrawl is the best fit because it can replace both the URL discovery and page extraction path with one hosted API built for LLM-ready markdown. I’d integrate it either as: - `/v2/search` with `scrapeOptions` returning markdown, replacing the current Google scrape path. - `/v2/scrape` or `/v2/batch/scrape` for URLs the agent already has. Use `formats: ["markdown"]`, `onlyMainContent: true`, likely `onlyCleanContent: true`, `blockAds: true`, `removeBase64Images: true`, `proxy: "auto"`, and a modest `waitFor` only when needed. **Why Firecrawl** Firecrawl’s docs show the exact shape this repo needs: scrape any webpage into markdown or JSON, search with full-page markdown, batch scrape many URLs, crawl whole sites, and use browser-style actions when dynamic pages need waiting, clicking, scrolling, or JS Provider mentions: browserbase

**Recommendation** Use **Firecrawl hosted API** as the web-page fetching/extraction provider. This repo currently does Google scraping, raw `fetch(link)`, `JSDOM`, and Mozilla Readability inside [pages/api/sources.ts](/home/user/worktrees/attempt-841e19f5-ece2-457b-992f-acfa19507431-cap-2/pages/api/sources.ts:1). That will miss many JS-rendered pages and can return brittle/noisy text. Firecrawl is the best fit because it can replace both the URL discovery and page extraction path with one hosted API built for LLM-ready markdown. I’d integrate it either as: - `/v2/search` with `scrapeOptions` returning markdown, replacing the current Google scrape path. - `/v2/scrape` or `/v2/batch/scrape` for URLs the agent already has. Use `formats: ["markdown"]`, `onlyMainContent: true`, likely `onlyCleanContent: true`, `blockAds: true`, `removeBase64Images: true`, `proxy: "auto"`, and a modest `waitFor` only when needed. **Why Firecrawl** Firecrawl’s docs show the exact shape this repo needs: scrape any webpage into markdown or JSON, search with full-page markdown, batch scrape many URLs, crawl whole sites, and use browser-style actions when dynamic pages need waiting, clicking, scrolling, or JS execution. Its scrape API defaults to main-content extraction and has an extra cleanup pass for residual boilerplate like cookie banners, ads, social widgets, breadcrumbs, newsletter boxes, and relat Provider mentions: browserbase