quoroom-

Run

quoroom-ai/room

Agent

GPT-5.3-Codex

Status

completed

Trace

available

Telemetry

artifact only

Last Run

Jun 06, 05:05 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

agent_action

Pinned repository checkout verified

678d309247f500a92b2c8fab312adfeb8189f23f

agent_action

I’ll inspect the repo first to understand what “agent” means here and where web con...

I’ll inspect the repo first to understand what “agent” means here and where web content ingestion would fit, then I’ll verify current managed provider docs before making a recommendation.

command

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

command

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

exit code 0 Output: /home/user/worktrees/attempt-4ca27974-7b61-4e09-a9f9-1c6d57d58e01-cap-0 /bin/bash: line 1: rg: command not found

command

/bin/bash -lc 'find .. -name AGENTS.md -print'

command

/bin/bash -lc 'find .. -name AGENTS.md -print'

exit code 0 Output: ../attempt-4ca27974-7b61-4e09-a9f9-1c6d57d58e01-cap-0/AGENTS.md

command

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

command

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

exit code 0

agent_action

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

`rg` is not installed in this workspace, so I’m falling back to `find`/`grep`. The tree looks clean so far; next I’m reading the project shape and agent-related files.

command

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

command

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

exit code 0 Output: # BEGIN VASILY GLOBAL SHORTCUTS ## Global Shortcut Commands (From /cloud/CLAUDE.md) These shortcuts are mandatory and should be interpreted automatically when the user types them. ### Keyboard Layout Recovery If a short command is typed in Cyrillic by mistake, convert to English QWERTY before interpreting. Common mapping example: `с` -> `c`, `св` -> `cd`, `ск` -> `cr` (layout-dependent). ### `c` = Commit And Push (No Build) - In `room` repo: 1. Run `npx tsc --noEmit`. 2. Check changed files for missing tests. 3. Run `npm test`. 4. If staged files touch `e2e/` or Playwright config, run smart E2E flow. 5. Update docs (including `CLAUDE.md`) when needed. 6. Check git status. 7. Commit with a meaningful message. 8. Push: `git push origin main`. - In `cloud` repo: commit and push (no TypeScript/test requirement). ### `cd` = Commit, Push, Build (Full) - Do everything from `c`, then run `npm ru

command

/bin/bash -lc "find . -maxdepth 3 -type f | sed 's#"'^./##'"' | sort | head -250"

command

/bin/bash -lc "find . -maxdepth 3 -type f | sed 's#"'^./##'"' | sort | head -250"

exit code 0 Output: .dockerignore .git .gitattributes .github/ISSUE_TEMPLATE/bug_report.yml .github/ISSUE_TEMPLATE/config.yml .github/ISSUE_TEMPLATE/feature_request.yml .github/pull_request_template.md .github/scripts/validate-release-secrets.sh .github/workflows/deploy-ui.yml .github/workflows/docker.yml .github/workflows/release.yml .github/workflows/rotate-social-image.yml .github/workflows/test-signing.yml .github/workflows/validate-secrets.yml .gitignore AGENTS.md CODE_OF_CONDUCT.md CONTRIBUTING.md Dockerfile LICENSE README.md SECURITY.md TRADEMARKS.md docs/CLERK.md docs/USER_FLOW_AUDIT.md docs/banner.png e2e/provider-flows.test.ts e2e/realtime-panels.test.ts e2e/setup-flow.test.ts e2e/test-buttons.test.ts e2e/ui-accordion.test.ts e2e/ui.test.ts installers/macos/Distribution.xml installers/macos/QuoroomTray.swift installers/macos/node-entitlements.plist installers/windows/quoroom-tray.ps1 installers/wi

command

/bin/bash -lc "find . -maxdepth 3 -type f \$ -name 'package.json' -o -name 'pyproject.toml' -o -name 'README*' -o -name 'Cargo.toml' -o -name 'go.mod' -o -name '*.md' \$ | sort"

command

/bin/bash -lc "find . -maxdepth 3 -type f \$ -name 'package.json' -o -name 'pyproject.toml' -o -name 'README*' -o -name 'Cargo.toml' -o -name 'go.mod' -o -name '*.md' \$ | sort"

exit code 0 Output: ./.github/pull_request_template.md ./AGENTS.md ./CODE_OF_CONDUCT.md ./CONTRIBUTING.md ./README.md ./SECURITY.md ./TRADEMARKS.md ./docs/CLERK.md ./docs/USER_FLOW_AUDIT.md ./package.json

agent_action

The repository is a TypeScript app called `room`/Quoroom with shared agent runtime ...

The repository is a TypeScript app called `room`/Quoroom with shared agent runtime pieces and an existing `web-tools` module. I’m reading those paths now because they likely define the integration constraints for any managed extraction provider.

command

/bin/bash -lc "sed -n '1,220p' package.json"

command

/bin/bash -lc "sed -n '1,220p' package.json"

exit code 0 Output: { "name": "quoroom", "version": "0.1.43", "description": "Open-source local AI agent framework — Queen, Workers, Quorum. Experimental research tool.", "main": "./out/mcp/server.js", "bin": { "quoroom": "./out/mcp/cli.js" }, "author": "Quoroom <hello@quoroom.ai>", "homepage": "https://quoroom.ai", "repository": { "type": "git", "url": "https://github.com/quoroom-ai/room.git" }, "license": "MIT", "files": [ "out/mcp/cli.js", "out/mcp/server.js", "out/mcp/api-server.js" ], "scripts": { "build": "npm run typecheck && npm run build:mcp && npm run build:ui", "build:windows:local": "powershell -ExecutionPolicy Bypass -File scripts/build-windows-local.ps1", "build:parallel": "node scripts/build-parallel.js", "build:fast": "node scripts/build-parallel.js --skip-typecheck", "build:mcp": "node scripts/build-mcp.js", "build:ui": "vite build --config src/ui/vite.config.ts", "kill:ports": "node script

command

/bin/bash -lc "sed -n '1,240p' README.md"

command

/bin/bash -lc "sed -n '1,240p' README.md"

exit code 0 Output: <p align="center"> <a href="https://quoroom.ai"> <img src="docs/banner.png?v=3" alt="Quoroom — Swarm Intelligence. Relentless Execution." width="100%"> </a> </p> # Quoroom [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) [![npm version](https://img.shields.io/npm/v/quoroom)](https://www.npmjs.com/package/quoroom) [![Tests](https://img.shields.io/badge/tests-1092%20passing-brightgreen)](#) [![GitHub stars](https://img.shields.io/github/stars/quoroom-ai/room)](https://github.com/quoroom-ai/room/stargazers) [![macOS](https://img.shields.io/badge/macOS-.pkg-000000?logo=apple&logoColor=white)](https://github.com/quoroom-ai/room/releases/latest) [![Windows](https://img.shields.io/badge/Windows-.exe-0078D4?logo=windows&logoColor=white)](https://github.com/quoroom-ai/room/releases/latest) [![Linux](https://img.shields.io/badge/Linux-.deb-FCC624?logo=linux&logoColor

command

/bin/bash -lc "sed -n '1,260p' src/shared/agent-loop.ts"

command

/bin/bash -lc "sed -n '1,260p' src/shared/agent-loop.ts"

exit code 0 Output: import type Database from 'better-sqlite3' import type { Worker, AgentState } from './types' import type { AgentExecutionResult } from './agent-executor' import type { RateLimitInfo } from './rate-limit' import * as queries from './db-queries' import { executeAgent, compressSession } from './agent-executor' import { checkExpiredDecisions } from './quorum' import { getRoomStatus } from './room' import { detectRateLimit, sleep } from './rate-limit' import { resolveApiKeyForModel, getModelProvider } from './model-provider' import { createCycleLogBuffer, type CycleLogEntryCallback } from './console-log-buffer' import { QUEEN_TOOLS, WORKER_TOOLS, executeQueenTool } from './queen-tools' import { WORKER_ROLE_PRESETS } from './constants' import { buildOllamaUnavailableMessage, probeOllamaRuntime } from './local-model' interface LoopState { running: boolean waitAbort: AbortController | null cycle

command

/bin/bash -lc "sed -n '1,260p' src/shared/web-tools.ts"

command

/bin/bash -lc "sed -n '1,260p' src/shared/web-tools.ts"

exit code 0 Output: /** * Internet access tools for queen agents — zero API keys required. * * webSearch → Playwright DDG (primary), HTTP DDG (fallback), Jina Search (last resort) * webFetch → Jina Reader (primary), Playwright browser (fallback for blocked sites) * browserAction → Playwright chromium (headless, accessibility tree snapshots, OpenClaw pattern) */ const MAX_CONTENT_CHARS = 12_000 const MAX_SNAPSHOT_CHARS = 8_000 // ─── Singleton browser (OpenClaw pattern: launch once, reuse across calls) ── // Each call gets a fresh context (isolated cookies/storage) but reuses the same // browser process to avoid the ~2s startup cost on every tool invocation. let _browser: import('playwright').Browser | null = null let _browserInitPromise: Promise<import('playwright').Browser> | null = null async function getBrowser(): Promise<import('playwright').Browser> { if (_browser?.isConnected()) return _browser if (_b

agent_action

There is already a basic URL fetch path: `webFetch` tries Jina Reader, then falls b...

There is already a basic URL fetch path: `webFetch` tries Jina Reader, then falls back to raw Playwright `innerText`. That means the key decision is whether to keep this free/default path or add a managed extraction layer that is reliable enough for agent workflows.

command

/bin/bash -lc "sed -n '260,620p' src/shared/web-tools.ts"

command

/bin/bash -lc "sed -n '260,620p' src/shared/web-tools.ts"

exit code 0 Output: try { const response = await fetch('https://html.duckduckgo.com/html/', { method: 'POST', headers: { 'Content-Type': 'application/x-www-form-urlencoded', 'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36', 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'Accept-Language': 'en-US,en;q=0.9', 'Referer': 'https://html.duckduckgo.com/', }, body: `q=${encodeURIComponent(query)}&b=`, signal: AbortSignal.timeout(15_000), redirect: 'follow', }) if (response.status === 202) continue // rate-limited, retry if (!response.ok) continue const html = await response.text() const results = parseDdgResults(html).slice(0, 5) if (results.length > 0) return results } catch { /* network error, try next attempt */ } } return [] } function parseDdgResults(html: string): WebSearchResult[] { const result

command

/bin/bash -lc "sed -n '1,260p' src/shared/queen-tools.ts"

command

/bin/bash -lc "sed -n '1,260p' src/shared/queen-tools.ts"

exit code 0 Output: import type Database from 'better-sqlite3' import * as queries from './db-queries' import { announce, object } from './quorum' import { completeGoal, setRoomObjective } from './goals' import { triggerAgent } from './agent-loop' import type { DecisionType } from './types' import { webFetch, webSearch, browserActionPersistent, type BrowserAction } from './web-tools' import { WORKER_ROLE_PRESETS } from './constants' /** Wake all other running workers in a room (e.g. to see an announcement or message) */ function wakeRoomWorkers(db: Database.Database, roomId: number, excludeWorkerId: number): void { const workers = queries.listRoomWorkers(db, roomId) for (const w of workers) { if (w.id !== excludeWorkerId) { try { triggerAgent(db, roomId, w.id) } catch { /* worker may not be running */ } } } } // ─── Tool definition format (OpenAI-compatible) ───────────────────────────── export interface To

command

/bin/bash -lc "grep -R \"quoroom_web_fetch\\|webFetch\\|Jina\\|web-tools\" -n src test* e2e 2>/dev/null | head -120"

command

/bin/bash -lc "grep -R \"quoroom_web_fetch\\|webFetch\\|Jina\\|web-tools\" -n src test* e2e 2>/dev/null | head -120"

exit code 0 Output: src/mcp/server.ts:21:import { closeBrowser } from '../shared/web-tools' src/mcp/tools/browser.ts:3:import { browserActionPersistent, type BrowserAction } from '../../shared/web-tools' src/server/__tests__/static-dir-selection.test.ts:37: vi.doMock('../../shared/web-tools', () => ({ closeBrowser: vi.fn(async () => undefined) })) src/server/clerk-commentary.ts:218: quoroom_web_fetch: 'fetching a webpage', src/server/index.ts:38:import { closeBrowser } from '../shared/web-tools' src/shared/agent-loop.ts:24: 'quoroom_web_fetch', src/shared/queen-tools.ts:7:import { webFetch, webSearch, browserActionPersistent, type BrowserAction } from './web-tools' src/shared/queen-tools.ts:215: name: 'quoroom_web_fetch', src/shared/queen-tools.ts:606: case 'quoroom_web_fetch': { src/shared/queen-tools.ts:609: return { content: await webFetch(url) } src/shared/web-tools.ts:4: * webSearch → Playwright DDG (p

agent_action

The MCP/browser tooling confirms this is meant to be an agent tool, not just a UI f...

The MCP/browser tooling confirms this is meant to be an agent tool, not just a UI feature. The existing implementation is local/free-first but its extraction fallback is just body text, so managed extraction should plug into `quoroom_web_fetch` without changing the tool surface.

command

/bin/bash -lc "sed -n '560,660p' src/shared/queen-tools.ts"

command

/bin/bash -lc "sed -n '560,660p' src/shared/queen-tools.ts"

exit code 0 Output: case 'quoroom_send_message': { const to = String(args.to ?? '').trim() const message = String(args.message ?? args.question ?? '').trim() if (!to) return { content: 'Error: "to" is required.', isError: true } if (!message) return { content: 'Error: "message" is required.', isError: true } if (to.toLowerCase() === 'keeper') { const escalation = queries.createEscalation(db, roomId, workerId, message) const deliveryStatus = await deliverQueenMessage(db, roomId, message) const deliveryNote = deliveryStatus ? ` ${deliveryStatus}` : '' return { content: `Message sent to keeper (#${escalation.id}).${deliveryNote}` } } const roomWorkers = queries.listRoomWorkers(db, roomId) const target = queries.findWorkerByName(roomWorkers, to) if (!target) { const available = roomWorkers.filter(w => w.id !== workerId).map(w => w.name).join(', ') return { content: `Worker "${to}" not found. Available: ${availa

command

command

exit code 0 Output: src/mcp/server.ts:18:import { registerBrowserTools } from './tools/browser' src/mcp/server.ts:21:import { closeBrowser } from '../shared/web-tools' src/mcp/server.ts:49: // Clean up database and browser on process exit src/mcp/tools/__tests__/tool-responses.test.ts:885: roomId, name: 'Web Scraping', content: 'Scrape websites safely.', src/mcp/tools/browser.ts:3:import { browserActionPersistent, type BrowserAction } from '../../shared/web-tools' src/mcp/tools/browser.ts:7: 'quoroom_browser', src/mcp/tools/browser.ts:11: 'Control a headless Chromium browser to interact with websites. ' src/mcp/tools/browser.ts:13: + 'Use for multi-step web interactions: signup forms, account creation, service configuration, purchases. ' src/mcp/tools/browser.ts:30: 'Sequence of browser actions. Tip: always end with a snapshot action to see the current page state.' src/mcp/tools/browser.ts:33: 'Session ID f

command

/bin/bash -lc "grep -R \"credential\\|secret\\|provider\" -n src/shared src/server | head -120"

command

/bin/bash -lc "grep -R \"credential\\|secret\\|provider\" -n src/shared src/server | head -120"

exit code 0 Output: src/shared/__tests__/agent-executor.test.ts:230: describe('API-key providers', () => { src/shared/__tests__/db-queries.test.ts:638: 'chat_messages', 'console_logs', 'credentials', 'embeddings', src/shared/__tests__/db-queries.test.ts:1456:describe('credentials', () => { src/shared/__tests__/db-queries.test.ts:1464: it('creates a credential', () => { src/shared/__tests__/db-queries.test.ts:1474: it('stores encrypted credential value at rest', () => { src/shared/__tests__/db-queries.test.ts:1475: const secret = 'top-secret-value' src/shared/__tests__/db-queries.test.ts:1476: const cred = q.createCredential(db, roomId, 'Encrypted', 'api_key', secret) src/shared/__tests__/db-queries.test.ts:1477: const raw = db.prepare('SELECT value_encrypted FROM credentials WHERE id = ?').get(cred.id) as { value_encrypted: string } src/shared/__tests__/db-queries.test.ts:1478: expect(raw.value_encrypted).n

Firecrawl documentation scrape endpoint markdown JSON extraction official

Query: Firecrawl documentation scrape endpoint markdown JSON extraction official Agent context: The MCP/browser tooling confirms this is meant to be an agent tool, not just a UI feature. The existing implementation is local/free-first but its extraction fallback is just body text, so managed extraction should plug into `quoroom_web_fetch` without changing the tool surface. Expanded queries: Firecrawl documentation scrape endpoint markdown JSON extraction official | Tavily Extract API documentation official web page content extraction | Exa API get contents documentation livecrawl highlights official | Jina AI Reader API documentation r.jina.ai official

url

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

Query: https://docs.firecrawl.dev/api-reference/v2-introduction Agent context: The MCP/browser tooling confirms this is meant to be an agent tool, not just a UI feature. The existing implementation is local/free-first but its extraction fallback is just body text, so managed extraction should plug into `quoroom_web_fetch` without changing the tool surface.

url

https://firecrawl.mintlify.app/features/scrape

Query: https://firecrawl.mintlify.app/features/scrape Agent context: The MCP/browser tooling confirms this is meant to be an agent tool, not just a UI feature. The existing implementation is local/free-first but its extraction fallback is just body text, so managed extraction should plug into `quoroom_web_fetch` without changing the tool surface.

Browserbase documentation extract webpage markdown official API

Query: Browserbase documentation extract webpage markdown official API Agent context: The MCP/browser tooling confirms this is meant to be an agent tool, not just a UI feature. The existing implementation is local/free-first but its extraction fallback is just body text, so managed extraction should plug into `quoroom_web_fetch` without changing the tool surface. Expanded queries: Browserbase documentation extract webpage markdown official API | ScrapingBee documentation JavaScript rendering screenshot HTML API official | Zyte API automatic extraction documentation official web scraping | Apify Website Content Crawler markdown docs official

url

https://docs.browserbase.com/

Query: https://docs.browserbase.com/ Agent context: The MCP/browser tooling confirms this is meant to be an agent tool, not just a UI feature. The existing implementation is local/free-first but its extraction fallback is just body text, so managed extraction should plug into `quoroom_web_fetch` without changing the tool surface.

site:docs.browserbase.com Fetch API markdown JSON Browserbase docs

Query: site:docs.browserbase.com Fetch API markdown JSON Browserbase docs Agent context: The MCP/browser tooling confirms this is meant to be an agent tool, not just a UI feature. The existing implementation is local/free-first but its extraction fallback is just body text, so managed extraction should plug into `quoroom_web_fetch` without changing the tool surface. Expanded queries: site:docs.browserbase.com Fetch API markdown JSON Browserbase docs

agent_action

**Provider Chosen** I’d choose **Firecrawl** as the managed web-page fetching/extra...

**Provider Chosen** I’d choose **Firecrawl** as the managed web-page fetching/extraction provider. Recommended integration: add Firecrawl as the first managed path in [src/shared/web-tools.ts](/home/user/worktrees/attempt-4ca27974-7b61-4e09-a9f9-1c6d57d58e01-cap-0/src/shared/web-tools.ts:125), using `/v2/scrape` with `formats: ["markdown"]`, `onlyMainContent: true`, and optionally `onlyCleanContent: true`. Keep the existing Jina Reader and Playwright paths as fallback/default-free behavior. **Why Firecrawl** Firecrawl best matches this repo’s agent workflow because `quoroom_web_fetch` already expects “URL in, clean markdown/text out,” and Firecrawl’s managed scrape endpoint is built exactly around converting arbitrary pages into markdown/JSON for agents. Its docs also cover JS-rendered pages, PDFs, screenshots, links/images, caching, proxies, actions before scraping, and optional cleaner LLM post-processing. That is a stronger fit than a generic browser provider or search-first API. The repo already has: - `quoroom_web_fetch` exposed to agents in [queen-tools.ts](/home/user/worktrees/attempt-4ca27974-7b61-4e09-a9f9-1c6d57d58e01-cap-0/src/shared/queen-tools.ts:215) - `webFetch()` im

result

Selected unknown

Commands

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

exit 0

/bin/bash -lc 'find .. -name AGENTS.md -print'

exit 0

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

exit 0

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

exit 0

/bin/bash -lc "find . -maxdepth 3 -type f | sed 's#"'^./##'"' | sort | head -250"

exit 0

/bin/bash -lc "find . -maxdepth 3 -type f \$ -name 'package.json' -o -name 'pyproject.toml' -o -name 'README*' -o -name 'Cargo.toml' -o -name 'go.mod' -o -name '*.md' \$ | sort"

exit 0

/bin/bash -lc "sed -n '1,220p' package.json"

exit 0

/bin/bash -lc "sed -n '1,240p' README.md"

exit 0

/bin/bash -lc "sed -n '1,260p' src/shared/agent-loop.ts"

exit 0

/bin/bash -lc "sed -n '1,260p' src/shared/web-tools.ts"

exit 0

/bin/bash -lc "sed -n '260,620p' src/shared/web-tools.ts"

exit 0

/bin/bash -lc "sed -n '1,260p' src/shared/queen-tools.ts"

exit 0

/bin/bash -lc "grep -R \"quoroom_web_fetch\\|webFetch\\|Jina\\|web-tools\" -n src test* e2e 2>/dev/null | head -120"

exit 0

/bin/bash -lc "sed -n '560,660p' src/shared/queen-tools.ts"

exit 0

exit 0

/bin/bash -lc "grep -R \"credential\\|secret\\|provider\" -n src/shared src/server | head -120"

exit 0

URLs Fetched

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

status not materialized

https://firecrawl.mintlify.app/features/scrape

status not materialized

https://docs.browserbase.com/

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