mckaywri

Run

mckaywrigley/clarity-ai

Agent

Claude Opus 4.7

Status

completed

Trace

available

Telemetry

artifact only

Last Run

Jun 06, 04:56 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

P3F

agent_action

Pinned repository checkout verified

5a33db140d253f47da3f07ad1475938c14dfda45

agent_action

I'll research the repository first to understand its architecture and how the agent...

I'll research the repository first to understand its architecture and how the agent works.

agent_action

Read /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0

Tool result summary: EISDIR: illegal operation on a directory, read '/home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0' Agent context: I'll research the repository first to understand its architecture and how the agent works.

command

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -maxdepth 2 -type f -name "package.json" -o -name "README*" -o -name "tsconfig*" | head -20

Tool result summary: /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/README.md /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/package.json /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/tsconfig.json Agent context: I'll research the repository first to understand its architecture and how the agent works.

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 first to understand its architecture and how the agent works.

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 first to understand its architecture and how the agent works.

agent_action

Glob **/*.tsx

Tool result summary: components/Answer.tsx components/Search.tsx pages/_app.tsx pages/_document.tsx pages/index.tsx Agent context: I'll research the repository first to understand its architecture and how the agent works.

command

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -type d -name "pages" -o -type d -name "components" -o -type d -name "api" -o -type d -name "src" | head -20

Tool result summary: /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/components /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/pages /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/pages/api Agent context: I'll research the repository first to understand its architecture and how the agent works.

agent_action

Grep agent|Agent

Tool result summary: Found 1 file package-lock.json Agent context: I'll research the repository first to understand its architecture and how the agent works.

command

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/pages/api -type f

Tool result summary: /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/pages/api/answer.ts /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/pages/api/sources.ts Agent context: I'll research the repository first to understand its architecture and how the agent works.

agent_action

Grep openai|GPT|fetch|search

Tool result summary: No files found Agent context: I'll research the repository first to understand its architecture and how the agent works.

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 first to understand its architecture and how the agent works.

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 first to understand its architecture and how the agent works.

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 first to understand its architecture and how the agent works.

command

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/utils -type f

Tool result summary: /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/utils/answer.ts /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/utils/sources.ts Agent context: I'll research the repository first to understand its architecture and how the agent works.

agent_action

Read components/Answer.tsx

Tool result summary: 1 import { SearchQuery } from "@/types"; 2 import { IconReload } from "@tabler/icons-react"; 3 import { FC } from "react"; 4 5 interface AnswerProps { 6 searchQuery: SearchQuery; 7 answer: string; 8 done: boolean; 9 onReset: () => void; 10 } 11 12 export const Answer: FC<AnswerProps> = ({ searchQuery, answer, done, onReset }) => { 13 return ( 14 <div className="max-w-[800px] space-y-4 py-16 px-8 sm:px-24 sm:pt-16 pb- Agent context: I'll research the repository first to understand its architecture and how the agent works.

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 first to understand its architecture and how the agent works.

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 first to understand its architecture and how the agent works.

command

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -name "types*" -type f

Tool result summary: (Bash completed with no output) Agent context: I'll research the repository first to understand its architecture and how the agent works.

agent_action

Read pages/index.tsx

Tool result summary: 1 import { Answer } from "@/components/Answer"; 2 import { Search } from "@/components/Search"; 3 import { SearchQuery } from "@/types"; 4 import { IconBrandGithub, IconBrandTwitter } from "@tabler/icons-react"; 5 import Head from "next/head"; 6 import { useState } from "react"; 7 8 export default function Home() { 9 const [searchQuery, setSearchQuery] = useState<SearchQuery>({ query: "", source }); 10 const [answer, Agent context: I'll research the repository first to understand its architecture and how the agent works.

command

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -type f \( -name "*.d.ts" -o -name "types.ts" -o -name "index.ts" \) | grep -E "types|@"

Tool result summary: /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/types/index.ts Agent context: I'll research the repository first to understand its architecture and how the agent works.

agent_action

Grep interface SearchQuery|type OpenAIModel|export.*SearchQuery

Tool result summary: No files found Agent context: I'll research the repository first to understand its architecture and how the agent works.

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 first to understand its architecture and how the agent works.

command

tree -L 2 -I node_modules /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 2>/dev/null || find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -maxdepth 2 -type d ! -name node_modules -not -path '*/\.*'

Tool result summary: /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/components /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/pages /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/pages/api /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/public /home/user/worktrees/attem Agent context: I'll research the repository first to understand its architecture and how the agent works.

command

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -maxdepth 1 -type f \( -name ".env*" -o -name "*.config.*" -o -name "next.config.*" \)

Tool result summary: /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/next.config.js /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/postcss.config.js /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/tailwind.config.js Agent context: I'll research the repository first to understand its architecture and how the agent works.

agent_action

Let me look at the current web fetching implementation directly.

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 current web fetching implementation directly.

agent_action

The current approach uses raw `fetch()` + JSDOM/Readability — which can't render JS...

The current approach uses raw `fetch()` + JSDOM/Readability — which can't render JS-heavy/dynamic pages and gets blocked or returns noise. Let me research managed providers by consulting their actual documentation.

agent_action

I'll consult the actual documentation of the leading managed providers. Let me fetc...

I'll consult the actual documentation of the leading managed providers. Let me fetch their docs in parallel.

url

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

Fetch prompt: Summarize how Firecrawl's scrape endpoint works: does it render JavaScript/dynamic pages? What output formats does it return (markdown, LLM-ready)? How does it handle boilerplate/noise removal? What are the main parameters and any batch/scale capabilities? Note pricing model if mentioned. Tool result summary: # Firecrawl Scrape Endpoint Summary ## JavaScript & Dynamic Content Handling Firecrawl's `/scrape` endpoint actively handles dynamic content, including "js-rendered sites" and complex websites. It manages infrastructure challenges like proxies, caching, and rate limits automatically. ## Output Formats The endpoint returns multiple LLM-ready formats: - **Markdown** (primary, cleaned format) - **HTML** (cleaned or raw) Agent context: I'll consult the actual documentation of the leading managed providers. Let me fetch their docs in parallel.

url

https://jina.ai/reader/

Fetch prompt: Summarize how Jina AI Reader (r.jina.ai) works: does it render JavaScript/dynamic pages? What output does it return (clean markdown, LLM-ready)? How does it handle boilerplate removal? How is it called (URL prefix, API)? Pricing and rate limits? Tool result summary: # Jina AI Reader (r.jina.ai) Summary ## How It Works Reader uses a proxy to fetch URLs and renders content in a browser, extracting high-quality main content from webpages. This browser-based approach handles dynamic content rendering. ## Output Format The service converts webpage content into "clean, LLM-friendly text" delivered as JSON responses containing the URL, title, content, and timestamp. It returns markdown Agent context: I'll consult the actual documentation of the leading managed providers. Let me fetch their docs in parallel.

url

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

Fetch prompt: Summarize Tavily's Extract API: does it render JavaScript/dynamic pages? What content does it return (clean, LLM-ready)? Parameters, batch support, and pricing model? Is it designed for LLM agents? Tool result summary: # Tavily Extract API Summary ## JavaScript/Dynamic Content Rendering The documentation doesn't explicitly state whether the API renders JavaScript or handles dynamic pages. No mention of headless browser technology or JavaScript execution is provided. ## Content Return Format The API returns "content in markdown format" or "plain text" depending on your format parameter selection. It's optimized for LLM consumption, Agent context: I'll consult the actual documentation of the leading managed providers. Let me fetch their docs in parallel.

agent_action

Let me consult two more alternatives to round out the comparison: Exa and ScrapingBee.

url

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

Fetch prompt: Summarize Exa's get-contents/contents API: does it render JavaScript/dynamic pages with a live crawl? What content does it return (clean text, markdown, LLM-ready)? Is it primarily a search engine with extraction, or a standalone page fetcher? Batch support and pricing? 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 get-contents/c Agent context: Let me consult two more alternatives to round out the comparison: Exa and ScrapingBee.

url

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

Fetch prompt: Summarize ScrapingBee: does it render JavaScript with headless browsers? Does it return clean LLM-ready/markdown content or just raw HTML? Is it a general-purpose scraping proxy or a content-extraction/LLM-focused service? Pricing model and scale? Tool result summary: # ScrapingBee Overview ## JavaScript Rendering Yes, ScrapingBee renders JavaScript with headless browsers by default. The documentation states: *"By default, ScrapingBee fetches the URL to scrape via a headless browser that will execute the JavaScript code on the page."* This is useful for Single Page Applications built with React, Angular, or Vue. However, you can disable this with `render_js=false` to reduce costs. Agent context: Let me consult two more alternatives to round out the comparison: Exa and ScrapingBee.

agent_action

Let me fetch the redirected Exa docs URL.

url

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

Fetch prompt: Summarize Exa's get-contents/contents API: does it render JavaScript/dynamic pages with a live crawl? What content does it return (clean text, markdown, LLM-ready)? Is it primarily a search engine with extraction, or a standalone page fetcher? Batch support and pricing? Tool result summary: # Exa Contents API Summary ## JavaScript/Dynamic Rendering Yes, the API supports live crawling. It offers a `maxAgeHours` parameter where setting it to `0` "fetches fresh content" and applies "text rendering options to newly fetched pages." The `livecrawl` parameter (deprecated) previously controlled fetch behavior with options like "always" and "fallback." ## Content Return Format The API returns multiple content ty Agent context: Let me fetch the redirected Exa docs URL.

agent_action

## Recommendation: **Firecrawl** (`/scrape` endpoint) ### Why Firecrawl It's the cl...

## Recommendation: **Firecrawl** (`/scrape` endpoint) ### Why Firecrawl It's the closest match to every requirement in the brief, and it's a drop-in replacement for what `pages/api/sources.ts:53-67` does today (raw `fetch` → JSDOM → Readability, which silently fails on JS-rendered/dynamic pages and gets blocked or returns noise): - **Renders JS/dynamic pages** out of the box, and manages proxies, caching, and rate limits for you — the exact gap in the current code. - **LLM-ready by default**: returns cleaned markdown with `onlyMainContent`, stripping nav/ads/boilerplate. That replaces the hand-rolled `cleanSourceText` + `.slice(0, 1500)` truncation in `sources.ts:62,72`. - **Scale**: `batch_scrape` fits the repo's "scrape N source links in parallel" pattern (`sources.ts:53`) with one async job instead of N fragile `fetch` calls. - **Simple pricing**: 1 credit/page baseline; predictable for this workload. - **`actions`** (wait/click) handle stubborn dynamic pages — something JSDOM fundamentally cannot do. ### Main alternatives considered - **Jina AI Reader** — strongest runner-up. Browser-rendered, clean markdown, dead-simple (`r.jina.ai/<url>`), generous free tier (10M tokens). Lig

result

Selected unknown

Commands

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -maxdepth 2 -type f -name "package.json" -o -name "README*" -o -name "tsconfig*" | head -20

exit code not materialized

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -type d -name "pages" -o -type d -name "components" -o -type d -name "api" -o -type d -name "src" | head -20

exit code not materialized

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/pages/api -type f

exit code not materialized

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0/utils -type f

exit code not materialized

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -name "types*" -type f

exit code not materialized

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -type f \( -name "*.d.ts" -o -name "types.ts" -o -name "index.ts" \) | grep -E "types|@"

exit code not materialized

find /home/user/worktrees/attempt-0ee2cdd9-4f48-47cd-bb8e-c67ee313fce6-cap-0 -maxdepth 1 -type f \( -name ".env*" -o -name "*.config.*" -o -name "next.config.*" \)

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.scrapingbee.com/documentation/

status not materialized

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