mckaywri

Run

mckaywrigley/clarity-ai

Agent

GPT-5.3-Codex

Status

completed

Trace

available

Telemetry

artifact only

Last Run

Jun 06, 05:02 AM

Decision Summary

competitor

Expected

Provider

Product

Selected

Provider

firecrawl

Product

Surface

provider_selection

Reason

codex selected firecrawl during first-pass provider discovery. No expected provider was set for this prompt.

Outcome

competitor

Trace Timeline

agent_action

Prompt-lab work item started

P3F

agent_action

Pinned repository checkout verified

5a33db140d253f47da3f07ad1475938c14dfda45

agent_action

I’ll inspect the repository first to understand the agent’s runtime and integration...

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.

command

/bin/bash -lc 'git status --short'

command

/bin/bash -lc 'git status --short'

exit code 0

command

/bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.png'"' -g '"'!*.jpg'"' -g '"'!*.jpeg'"' -g '"'!*.gif'"' -g '"'!*.lock'"' | head -200"

command

/bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.png'"' -g '"'!*.jpg'"' -g '"'!*.jpeg'"' -g '"'!*.gif'"' -g '"'!*.lock'"' | head -200"

exit code 0 Output: /home/user/worktrees/attempt-841e19f5-ece2-457b-992f-acfa19507431-cap-2 /bin/bash: line 1: rg: command not found

command

command

exit code 127 Output: /bin/bash: line 1: rg: command not found

agent_action

`rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. I’m ...

`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.

command

/bin/bash -lc "find . -maxdepth 3 \$ -name package.json -o -name pyproject.toml -o -name requirements.txt -o -name Cargo.toml -o -name go.mod -o -name README.md -o -name AGENTS.md -o -name Makefile \$ -print"

command

exit code 0 Output: ./README.md ./package.json

command

/bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -path './dist' -prune -o -path './build' -prune -o -type f | sed 's#"'^./##'"' | head -250"

command

/bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -path './dist' -prune -o -path './build' -prune -o -type f | sed 's#"'^./##'"' | head -250"

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

command

command

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

agent_action

The repo is a small Next.js app named Clarity. It currently does Google result disc...

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.

command

/bin/bash -lc "sed -n '1,220p' README.md"

command

/bin/bash -lc "sed -n '1,220p' README.md"

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). [![Clarity AI](./public/screenshot.png)](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

command

/bin/bash -lc "sed -n '1,260p' utils/sources.ts"

command

/bin/bash -lc "sed -n '1,260p' utils/sources.ts"

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"); };

command

/bin/bash -lc "sed -n '1,220p' pages/api/sources.ts"

command

/bin/bash -lc "sed -n '1,220p' pages/api/sources.ts"

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(

command

/bin/bash -lc 'cat package.json'

command

/bin/bash -lc 'cat package.json'

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" } }

command

/bin/bash -lc "sed -n '1,220p' pages/api/answer.ts"

command

/bin/bash -lc "sed -n '1,220p' pages/api/answer.ts"

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;

command

/bin/bash -lc "sed -n '1,220p' utils/answer.ts"

command

/bin/bash -lc "sed -n '1,220p' utils/answer.ts"

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

Firecrawl scrape API documentation markdown javascript rendering wait actions

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

Browserbase docs browser rendering extract markdown API

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

url

https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape

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.

url

https://docs.browserless.io/rest-apis/intro

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.

Firecrawl docs batch scrape crawl search API markdown JavaScript at scale

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_action

I have enough repo context now: this is not a browser-agent repo yet; it is a searc...

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.

command

/bin/bash -lc "sed -n '1,260p' components/Search.tsx"

command

/bin/bash -lc "sed -n '1,260p' components/Search.tsx"

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); }

command

/bin/bash -lc "sed -n '1,220p' types/index.ts"

command

/bin/bash -lc "sed -n '1,220p' types/index.ts"

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[]; };

command

/bin/bash -lc "sed -n '1,260p' pages/index.tsx"

command

/bin/bash -lc "sed -n '1,260p' pages/index.tsx"

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

command

/bin/bash -lc "sed -n '1,220p' components/Answer.tsx"

command

/bin/bash -lc "sed -n '1,220p' components/Answer.tsx"

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

Jina AI Reader API docs r.jina.ai reader documentation

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

url

https://jina.ai/en-US/reader/

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.

url

https://docs.firecrawl.dev/api-reference/v2-introduction

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.

url

https://docs.firecrawl.dev/api-reference/endpoint/scrape

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.

url

https://docs.firecrawl.dev/api-reference/endpoint/batch-scrape

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.

url

https://docs.tavily.com/sdk/javascript/reference

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.

url

https://exa.ai/docs/reference/livecrawling-contents

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.

url

https://exa.ai/docs/reference/livecrawling-contents

agent_action

**Recommendation** Use **Firecrawl hosted API** as the web-page fetching/extraction...

**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

result

Selected unknown

Commands

/bin/bash -lc 'git status --short'

exit 0

/bin/bash -lc "pwd && rg --files -g '"'!*node_modules*'"' -g '"'!*.png'"' -g '"'!*.jpg'"' -g '"'!*.jpeg'"' -g '"'!*.gif'"' -g '"'!*.lock'"' | head -200"

exit 0

exit 127

exit 0

/bin/bash -lc "find . -path './node_modules' -prune -o -path './.git' -prune -o -path './dist' -prune -o -path './build' -prune -o -type f | sed 's#"'^./##'"' | head -250"

exit 0

/bin/bash -lc "sed -n '1,220p' README.md"

exit 0

/bin/bash -lc "sed -n '1,260p' utils/sources.ts"

exit 0

/bin/bash -lc "sed -n '1,220p' pages/api/sources.ts"

exit 0

/bin/bash -lc 'cat package.json'

exit 0

/bin/bash -lc "sed -n '1,220p' pages/api/answer.ts"

exit 0

/bin/bash -lc "sed -n '1,220p' utils/answer.ts"

exit 0

/bin/bash -lc "sed -n '1,260p' components/Search.tsx"

exit 0

/bin/bash -lc "sed -n '1,220p' types/index.ts"

exit 0

/bin/bash -lc "sed -n '1,260p' pages/index.tsx"

exit 0

/bin/bash -lc "sed -n '1,220p' components/Answer.tsx"

exit 0

URLs Fetched

https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape

status not materialized

https://docs.browserless.io/rest-apis/intro

status not materialized

https://jina.ai/en-US/reader/

status not materialized

https://docs.firecrawl.dev/api-reference/v2-introduction

status not materialized

https://docs.firecrawl.dev/api-reference/endpoint/scrape

status not materialized

https://docs.firecrawl.dev/api-reference/endpoint/batch-scrape

status not materialized

https://docs.tavily.com/sdk/javascript/reference

status not materialized

https://exa.ai/docs/reference/livecrawling-contents

status not materialized

Changed Files

Artifact only

Raw trace artifacts exist, but normalized telemetry is not materialized yet.

Runs

Find

Run

Decision Summary

Trace Timeline

Commands

URLs Fetched

Changed Files

Runs

Run

Decision Summary

Trace Timeline

Commands

URLs Fetched

Changed Files