mckaywri

Run

mckaywrigley/clarity-ai

Agent

Claude Opus 4.7

Status

completed

Trace

available

Telemetry

artifact only

Last Run

Jun 06, 04:55 AM

Decision Summary

competitor

Expected

Provider

Product

Selected

Provider

firecrawl

Product

Surface

provider_selection

Reason

claude-code 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

agent_action

Pinned repository checkout verified

5a33db140d253f47da3f07ad1475938c14dfda45

agent_action

I'll research the repository structure first to understand what we're working with.

agent_action

Read /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0

Tool result summary: EISDIR: illegal operation on a directory, read '/home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0' Agent context: I'll research the repository structure first to understand what we're working with.

command

git log --oneline -15

Tool result summary: 5a33db1 Merge pull request #1 from Kledal/patch-1 247d4b8 Update Search.tsx - fix typo 4466a62 use gpt-3.5-turbo 72744dd add MIT license 93a9189 add twitter & github links 4dbbbdd remove npm dep lol 9f1d6a4 readme update 0371aed contact me 1a6a168 fix indent ef52408 setAnswer on single line 54ed8b2 slight tweaks to search component eea9331 add to readme 236ba7a fix link abb3f3f split up utils 2566104 type req body Agent context: I'll research the repository structure first to understand what we're working with.

agent_action

Glob /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0

Tool result summary: package.json Agent context: I'll research the repository structure first to understand what we're working with.

agent_action

Read package.json

Tool result summary: 1 { 2 "name": "frontend", 3 "version": "0.1.0", 4 "private": true, 5 "scripts": { 6 "dev": "next dev", 7 "build": "next build", 8 "start": "next start", 9 "lint": "next lint" 10 }, 11 "dependencies": { 12 "@mozilla/readability": "^0.4.2", 13 "@next/font": "13.1.6", 14 "@tabler/icons": "^2.4.0", 15 "@tabler/icons-react": "^2.4.0", 16 "@types/node": "18.14.0", 17 "@types/react": "18.0.28", 18 "@types/react-dom": "18.0. Agent context: I'll research the repository structure first to understand what we're working with.

command

find /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0 -type f -name "*.tsx" -o -name "*.ts" -o -name "*.json" | head -30

Tool result summary: /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0/.eslintrc.json /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0/components/Answer.tsx /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0/components/Search.tsx /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0/package-lock.json /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-37 Agent context: I'll research the repository structure first to understand what we're working with.

command

ls -la /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0

Tool result summary: total 492 drwxr-xr-x 8 user user 4096 Jun 6 04:53 . drwxr-xr-x 3 user user 4096 Jun 6 04:53 .. -rw-r--r-- 1 user user 40 Jun 6 04:53 .eslintrc.json -rw-r--r-- 1 user user 170 Jun 6 04:53 .git -rw-r--r-- 1 user user 385 Jun 6 04:53 .gitignore -rw-r--r-- 1 user user 1642 Jun 6 04:53 README.md drwxr-xr-x 2 user user 4096 Jun 6 04:53 components -rw-r--r-- 1 user user 1070 Jun 6 04:53 license -rw-r--r-- 1 user user 118 Ju Agent context: I'll research the repository structure first to understand what we're working with.

agent_action

Read pages/api/sources.ts

Tool result summary: 1 import { OpenAIModel, Source } from "@/types"; 2 import { Readability } from "@mozilla/readability"; 3 import * as cheerio from "cheerio"; 4 import { JSDOM } from "jsdom"; 5 import type { NextApiRequest, NextApiResponse } from "next"; 6 import { cleanSourceText } from "../../utils/sources"; 7 8 type Data = { 9 sources: Source[]; 10 }; 11 12 const searchHandler = async (req: NextApiRequest, res: NextApiResponse<Data Agent context: I'll research the repository structure first to understand what we're working with.

agent_action

Read pages/api/answer.ts

Tool result summary: 1 import { OpenAIStream } from "@/utils/answer"; 2 3 export const config = { 4 runtime: "edge" 5 }; 6 7 const handler = async (req: Request): Promise<Response> => { 8 try { 9 const { prompt, apiKey } = (await req.json()) as { 10 prompt: string; 11 apiKey: string; 12 }; 13 14 const stream = await OpenAIStream(prompt, apiKey); 15 16 return new Response(stream); 17 } catch (error) { 18 console.error(error); 19 return ne Agent context: I'll research the repository structure first to understand what we're working with.

agent_action

Read utils/sources.ts

Tool result summary: 1 export const cleanSourceText = (text: string) => { 2 return text 3 .trim() 4 .replace(/( ){4,}/g, " ") 5 .replace(/ /g, " ") 6 .replace(/ {3,}/g, " ") 7 .replace(/\t/g, "") 8 .replace(/ +(\s* )*/g, " "); 9 }; 10 Agent context: I'll research the repository structure first to understand what we're working with.

agent_action

Read utils/answer.ts

Tool result summary: 1 import { OpenAIModel } from "@/types"; 2 import { createParser, ParsedEvent, ReconnectInterval } from "eventsource-parser"; 3 4 export const OpenAIStream = async (prompt: string, apiKey: string) => { 5 const encoder = new TextEncoder(); 6 const decoder = new TextDecoder(); 7 8 const res = await fetch("https://api.openai.com/v1/chat/completions", { 9 headers: { 10 "Content-Type": "application/json", 11 Authorization Agent context: I'll research the repository structure first to understand what we're working with.

agent_action

Read types/index.ts

Tool result summary: 1 export enum OpenAIModel { 2 DAVINCI_TURBO = "gpt-3.5-turbo" 3 } 4 5 export type Source = { 6 url: string; 7 text: string; 8 }; 9 10 export type SearchQuery = { 11 query: string; 12 sourceLinks: string[]; 13 }; 14 Agent context: I'll research the repository structure first to understand what we're working with.

agent_action

Read components/Search.tsx

Tool result summary: 1 import { SearchQuery, Source } from "@/types"; 2 import { IconArrowRight, IconBolt, IconSearch } from "@tabler/icons-react"; 3 import endent from "endent"; 4 import { FC, KeyboardEvent, useEffect, useRef, useState } from "react"; 5 6 interface SearchProps { 7 onSearch: (searchResult: SearchQuery) => void; 8 onAnswerUpdate: (answer: string) => void; 9 onDone: (done: boolean) => void; 10 } 11 12 export const Search: Agent context: I'll research the repository structure first to understand what we're working with.

command

cat /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0/.gitignore

Tool result summary: # See https://help.github.com/articles/ignoring-files/ for more about ignoring files. # dependencies /node_modules /.pnp .pnp.js # testing /coverage # next.js /.next/ /out/ # production /build # misc .DS_Store *.pem # debug npm-debug.log* yarn-debug.log* yarn-error.log* .pnpm-debug.log* # local env files .env*.local # vercel .vercel # typescript *.tsbuildinfo next-env.d.ts Agent context: I'll research the repository structure first to understand what we're working with.

agent_action

Read README.md

Tool result summary: 1 # Clarity AI 2 3 Clarity is simple [perplexity.ai](https://www.perplexity.ai/) clone. Use the code for whatever you like! :) 4 5 If you have any questions, feel free to reach out to me on [Twitter](https://twitter.com/mckaywrigley). 6 7 [![Clarity AI](./public/screenshot.png)](https://clarity-ai.vercel.app/) 8 9 ## How It Works 10 11 Given a query, Clarity fetches relevant, up-to-date information from the web and u Agent context: I'll research the repository structure first to understand what we're working with.

agent_action

Let me look at the actual fetching code to understand the current implementation in...

Let me look at the actual fetching code to understand the current implementation in detail.

agent_action

Read pages/api/sources.ts

Tool result summary: 1 import { OpenAIModel, Source } from "@/types"; 2 import { Readability } from "@mozilla/readability"; 3 import * as cheerio from "cheerio"; 4 import { JSDOM } from "jsdom"; 5 import type { NextApiRequest, NextApiResponse } from "next"; 6 import { cleanSourceText } from "../../utils/sources"; 7 8 type Data = { 9 sources: Source[]; 10 }; 11 12 const searchHandler = async (req: NextApiRequest, res: NextApiResponse<Data Agent context: Let me look at the actual fetching code to understand the current implementation in detail.

agent_action

This is "Clarity AI" — a Perplexity-style search agent. The current pipeline (`page...

This is "Clarity AI" — a Perplexity-style search agent. The current pipeline (`pages/api/sources.ts`) scrapes Google, then self-extracts each page with JSDOM + Mozilla Readability. That self-rolled extraction is brittle (no JS rendering, no anti-bot handling, blocked easily). Let me research managed providers by consulting their actual docs.

agent_action

I'll research the leading managed providers' docs in parallel.

url

https://docs.firecrawl.dev/features/scrape

Fetch prompt: Summarize Firecrawl's scrape endpoint: what it does, output formats (markdown/clean content), JS rendering, anti-bot handling, auth method (API key), Node/JS SDK availability, and pricing/free tier if mentioned. Tool result summary: # Firecrawl Scrape Endpoint Summary **Core Functionality:** The `/scrape` endpoint "Turn[s] any url into clean data" by converting web pages into structured formats suitable for LLM applications. It automatically manages proxies, caching, rate limits, and JavaScript-rendered content. **Output Formats:** Firecrawl supports multiple output formats including markdown, HTML (cleaned and raw), screenshots, links, JSON, im Agent context: I'll research the leading managed providers' docs in parallel.

url

https://jina.ai/reader/

Fetch prompt: Summarize Jina AI Reader (r.jina.ai): what it does, how to call it (URL prefix pattern), output format (clean markdown), auth/API key, free tier, JS rendering, and pricing. Tool result summary: # Jina AI Reader Summary ## What It Does Jina Reader converts URLs into LLM-friendly content by extracting and cleaning webpage data. It removes clutter like HTML markup and scripts, delivering structured text suitable for AI processing. ## How to Call It Use the URL prefix pattern: `https://r.jina.ai/[target-url]` For web search functionality: `https://s.jina.ai/?q=[query]` Supports both GET and POST requests. ## Ou Agent context: I'll research the leading managed providers' docs in parallel.

url

https://docs.tavily.com/documentation/api-reference/endpoint/extract

Fetch prompt: Summarize Tavily's Extract endpoint: what it does, output (clean content), auth/API key, Node SDK, and how it differs from their search endpoint. Also note pricing/free tier. Tool result summary: # Tavily Extract Endpoint Summary **What It Does:** The Extract endpoint retrieves and processes web page content from specified URLs. It's designed to pull raw content directly from web pages for LLM applications. **Output:** Returns cleaned content in either markdown or plain text format. When a query is provided, the API reranks content chunks (max 500 characters each) by relevance and can optionally include extra Agent context: I'll research the leading managed providers' docs in parallel.

agent_action

Let me research the remaining alternatives — Exa, ScrapingBee, and Firecrawl's free...

Let me research the remaining alternatives — Exa, ScrapingBee, and Firecrawl's free tier/pricing.

url

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

Fetch prompt: Summarize Exa's contents endpoint: what it does (extract clean text/highlights from URLs), auth/API key, Node SDK, and whether it's primarily a search+contents API. Note pricing/free tier. Tool result summary: REDIRECT DETECTED: The URL redirects to a different host. Original URL: https://docs.exa.ai/reference/get-contents Redirect URL: https://exa.ai/docs/reference/get-contents 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/get-contents" - prompt: "Summarize Exa's contents endpo Agent context: Let me research the remaining alternatives — Exa, ScrapingBee, and Firecrawl's free tier/pricing.

url

https://www.firecrawl.dev/pricing

Fetch prompt: What is Firecrawl's free tier and paid pricing? List free credits, hobby/standard plan prices and included credits. Tool result summary: # Firecrawl Pricing Overview ## Free Tier Firecrawl offers **1,000 free credits per month** with no card or signup required. This allows users to "scrape 1,000 pages" with 2 concurrent requests and low rate limits. ## Paid Plans **Hobby Plan:** $16/month (billed yearly) - 5,000 pages/month - 5 concurrent requests - Basic support **Standard Plan:** $83/month (billed yearly) - 100,000 pages/month - 50 concurrent reques Agent context: Let me research the remaining alternatives — Exa, ScrapingBee, and Firecrawl's free tier/pricing.

url

https://www.scrapingbee.com/documentation/

Fetch prompt: Summarize ScrapingBee: what it does, JS rendering, AI/data extraction, clean content/markdown output, auth/API key, Node SDK, and free trial/pricing. Tool result summary: # ScrapingBee: Web Scraping API Overview **What It Does** ScrapingBee is a web scraping service that "fetches the URL to scrape via a headless browser that will execute the JavaScript code on the page." It handles both simple HTML extraction and complex, JavaScript-heavy websites. **JavaScript Rendering** The platform defaults to rendering JavaScript, costing 5 credits per request. Users can disable this with `render Agent context: Let me research the remaining alternatives — Exa, ScrapingBee, and Firecrawl's free tier/pricing.

agent_action

## Recommendation: Firecrawl For Clarity AI's pipeline, the brittle step is `pages/...

## Recommendation: Firecrawl For Clarity AI's pipeline, the brittle step is `pages/api/sources.ts:53-67` — raw `fetch()` + `JSDOM` + Mozilla Readability. That breaks on JS-rendered pages, bot walls, and PDFs. The app keeps its own Google search, so what it actually needs is a **URL → clean-markdown extraction** provider to drop into the "SCRAPE TEXT FROM LINKS" loop. **Choose Firecrawl** (`/scrape` endpoint): - Extraction-first: returns LLM-ready markdown directly — exactly what gets sliced and fed to OpenAI in `utils/answer.ts`. - Managed JS rendering, proxies, and anti-bot — fixes the current failures, not just reformats them. - First-class Node SDK (`npm install firecrawl`), fitting the TS/Next.js 13 stack; API-key auth matches the existing Bearer pattern. - No-card free tier (1,000 pages/mo) suits this hobby-scale app; $16/mo Hobby scales it. **Alternatives considered:** - **Jina AI Reader** (`r.jina.ai/`) — strong runner-up. Simplest possible (URL-prefix, zero-auth at 20 RPM, 10M free tokens, browser-rendered). I'd pick this if minimal setup mattered most; chose Firecrawl for more robust managed anti-bot/proxy handling. - **Tavily Extract** — capable, but Tavily is search-firs

result

Selected unknown

Commands

git log --oneline -15

exit code not materialized

find /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0 -type f -name "*.tsx" -o -name "*.ts" -o -name "*.json" | head -30

exit code not materialized

ls -la /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0

exit code not materialized

cat /home/user/worktrees/attempt-dc98ae72-7696-4799-9e3b-377e47379d80-cap-0/.gitignore

exit code not materialized

URLs Fetched

https://docs.firecrawl.dev/features/scrape

status not materialized

https://jina.ai/reader/

status not materialized

https://docs.tavily.com/documentation/api-reference/endpoint/extract

status not materialized

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

status not materialized

https://www.firecrawl.dev/pricing

status not materialized

https://www.scrapingbee.com/documentation/

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