quoroom-

Run

quoroom-ai/room

Agent

Claude Opus 4.7

Status

completed

Trace

available

Telemetry

artifact only

Last Run

Jun 06, 04:58 AM

Decision Summary

competitor

Expected

Provider

Product

Selected

Provider

jina

Product

Surface

provider_selection

Reason

claude-code selected jina 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 research the repository structure and tech stack first to make a grounded reco...

I'll research the repository structure and tech stack first to make a grounded recommendation.

command

find /home/user/worktrees/attempt-bc6581db-6005-48cb-aaad-21f6708f91ac-cap-0 -maxdepth 2 -type f \( -name "package.json" -o -name "requirements.txt" -o -name "go.mod" -o -name "README*" -o -name "*.toml" \)

Tool result summary: /home/user/worktrees/attempt-bc6581db-6005-48cb-aaad-21f6708f91ac-cap-0/README.md /home/user/worktrees/attempt-bc6581db-6005-48cb-aaad-21f6708f91ac-cap-0/package.json Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read package.json

Tool result summary: 1 { 2 "name": "quoroom", 3 "version": "0.1.43", 4 "description": "Open-source local AI agent framework — Queen, Workers, Quorum. Experimental research tool.", 5 "main": "./out/mcp/server.js", 6 "bin": { 7 "quoroom": "./out/mcp/cli.js" 8 }, 9 "author": "Quoroom <hello@quoroom.ai>", 10 "homepage": "https://quoroom.ai", 11 "repository": { 12 "type": "git", 13 "url": "https://github.com/quoroom-ai/room.git" 14 }, 15 "lic Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read README.md

Tool result summary: 1 <p align="center"> 2 <a href="https://quoroom.ai"> 3 <img src="docs/banner.png?v=3" alt="Quoroom — Swarm Intelligence. Relentless Execution." width="100%"> 4 </a> 5 </p> 6 7 # Quoroom 8 9 [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) 10 [![npm version](https://img.shields.io/npm/v/quoroom)](https://www.npmjs.com/package/quoroom) 11 [![Tests](https://img.shields.io/badge/tests-1092% Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Grep fetch|http\.|axios|request|Agent

Tool result summary: Found 20 files limit: 20 src/shared/identity.ts src/shared/queen-tools.ts src/shared/rate-limit.ts src/shared/room.ts src/shared/schema.ts src/shared/skills.ts src/shared/telemetry.ts src/shared/types.ts src/shared/web-tools.ts src/shared/worker-prompt-sync.ts src/shared/__tests__/agent-executor.test.ts src/shared/__tests__/agent-loop.test.ts src/shared/__tests__/clerk-tools.test.ts src/shared/__tests__/db-queries.te Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Glob src/shared/agent-*.ts

Tool result summary: src/shared/agent-executor.ts src/shared/agent-loop.ts Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read src/shared/agent-loop.ts

Tool result summary: 1 import type Database from 'better-sqlite3' 2 import type { Worker, AgentState } from './types' 3 import type { AgentExecutionResult } from './agent-executor' 4 import type { RateLimitInfo } from './rate-limit' 5 import * as queries from './db-queries' 6 import { executeAgent, compressSession } from './agent-executor' 7 import { checkExpiredDecisions } from './quorum' 8 import { getRoomStatus } from './room' 9 impor Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read src/shared/agent-executor.ts

Tool result summary: 1 import { spawn, execSync } from 'child_process' 2 import { existsSync, readFileSync } from 'fs' 3 import { dirname, join } from 'path' 4 import { homedir } from 'os' 5 import { executeClaudeCode } from './claude-code' 6 import type { ExecutionOptions, ExecutionResult, ConsoleLogCallback, ProgressCallback } from './claude-code' 7 import type { ToolDef } from './queen-tools' 8 import { registerManagedChildProcess } f Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Tool result summary: Found 30 files limit: 30 src/ui/lib/referrals.ts src/ui/lib/ws.ts src/ui/components/ConnectPage.tsx src/ui/components/GoalsPanel.tsx src/ui/components/LiveConsoleSection.tsx src/ui/components/MessagesPanel.tsx src/ui/components/RoomSettingsPanel.tsx src/ui/components/RoomsPanel.tsx src/ui/components/SettingsPanel.tsx src/ui/components/StatusPanel.tsx src/ui/components/SwarmPanel.tsx src/ui/components/TasksPanel.tsx s Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read src/shared/web-tools.ts

Tool result summary: 1 /** 2 * Internet access tools for queen agents — zero API keys required. 3 * 4 * webSearch → Playwright DDG (primary), HTTP DDG (fallback), Jina Search (last resort) 5 * webFetch → Jina Reader (primary), Playwright browser (fallback for blocked sites) 6 * browserAction → Playwright chromium (headless, accessibility tree snapshots, OpenClaw pattern) 7 */ 8 9 const MAX_CONTENT_CHARS = 12_000 10 const MAX_SNAPSHOT_CHA Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read src/shared/model-provider.ts

Tool result summary: 1 import type Database from 'better-sqlite3' 2 import { execSync } from 'node:child_process' 3 import * as queries from './db-queries' 4 import { checkClaudeCliAvailable } from './claude-code' 5 import { probeOllamaRuntime } from './local-model' 6 7 export type ModelProvider = 8 | 'claude_subscription' 9 | 'codex_subscription' 10 | 'ollama_local' 11 | 'openai_api' 12 | 'anthropic_api' 13 | 'gemini_api' 14 15 export i Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

command

Tool result summary: "test:e2e": "npm run build && npx playwright test --project=chromium", "test:e2e:fast": "npm run build:fast && npx playwright test --project=chromium --retries=0", "test:e2e:smoke": "npm run build:fast && npx playwright test --retries=0 e2e/api.test.ts e2e/crud-decisions.test.ts e2e/crud-goals.test.ts e2e/crud-rooms.test.ts e2e/crud-tasks.test.ts e2e/crud-workers.test.ts e2e/security.test.ts e2e/websocket.test.ts e2e Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read src/shared/web-tools.ts

Tool result summary: 100 for (const [, session] of _sessions) { 101 session.context.close().catch(() => {}) 102 } 103 _sessions.clear() 104 if (_cleanupInterval) { 105 clearInterval(_cleanupInterval) 106 _cleanupInterval = null 107 } 108 } 109 110 export function closeSession(sessionId: string): void { 111 const session = _sessions.get(sessionId) 112 if (session) { 113 session.context.close().catch(() => {}) 114 _sessions.delete(sessionI Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Grep @anthropic-ai|anthropic|OpenAI|import.*Anthropic

Tool result summary: Found 15 files limit: 15 src/ui/components/CredentialsPanel.tsx src/ui/components/HelpPanel.tsx src/ui/components/RoomSettingsPanel.tsx src/ui/components/RoomSetupGuideModal.tsx src/ui/components/SettingsPanel.tsx src/ui/components/WalkthroughModal.tsx src/ui/lib/client.ts src/shared/model-provider.ts src/shared/queen-tools.ts src/shared/task-runner.ts src/ui/App.tsx src/ui/components/ClerkPanel.tsx src/ui/components Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read src/shared/agent-executor.ts

Tool result summary: 90 91 export async function executeAgent(options: AgentExecutionOptions): Promise<AgentExecutionResult> { 92 const model = options.model.trim() 93 if (model === 'codex' || model.startsWith('codex:')) { 94 return executeCodex(options) 95 } 96 if ( 97 model === 'openai' 98 || model.startsWith('openai:') 99 || model === 'gemini' 100 || model.startsWith('gemini:') 101 || model === 'ollama' 102 || model.startsWith('ollama Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

command

grep -n "executeAnthropicApi\|executeAnthropicWithTools" /home/user/worktrees/attempt-bc6581db-6005-48cb-aaad-21f6708f91ac-cap-0/src/shared/agent-executor.ts | head -5

Tool result summary: 111: return executeAnthropicWithTools(options) 113: return executeAnthropicApi(options) 499:async function executeAnthropicWithTools(options: AgentExecutionOptions): Promise<AgentExecutionResult> { 678:async function executeAnthropicApi(options: AgentExecutionOptions): Promise<AgentExecutionResult> { Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read src/shared/agent-executor.ts

Tool result summary: 400 401 let finalOutput = '' 402 let totalInputTokens = 0, totalOutputTokens = 0 403 404 for (let turn = 0; turn < maxTurns; turn++) { 405 const controller = new AbortController() 406 const detachAbort = linkAbortSignal(controller, options.abortSignal) 407 const timeoutMs = options.timeoutMs ?? 5 * 60 * 1000 408 const timer = setTimeout(() => controller.abort(), timeoutMs) 409 410 let json: Record<string, unknown> 41 Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read src/shared/agent-executor.ts

Tool result summary: 499 async function executeAnthropicWithTools(options: AgentExecutionOptions): Promise<AgentExecutionResult> { 500 const apiKey = options.apiKey?.trim() || (process.env.ANTHROPIC_API_KEY || '').trim() 501 if (!apiKey) return immediateError('Missing Anthropic API key.') 502 503 const modelName = parseAnthropicModel(options.model) 504 const startTime = Date.now() 505 const maxTurns = options.maxTurns ?? 10 506 const ant Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Read src/shared/agent-executor.ts

Tool result summary: 678 async function executeAnthropicApi(options: AgentExecutionOptions): Promise<AgentExecutionResult> { 679 const apiKey = options.apiKey?.trim() || (process.env.ANTHROPIC_API_KEY || '').trim() 680 if (!apiKey) { 681 return immediateError('Missing Anthropic API key. Set room credential "anthropic_api_key" or ANTHROPIC_API_KEY.') 682 } 683 684 const modelName = parseAnthropicModel(options.model) 685 const startTime = Agent context: I'll research the repository structure and tech stack first to make a grounded recommendation.

agent_action

Let me read the existing web tools implementation and load research tools.

agent_action

Read src/shared/web-tools.ts

Tool result summary: 1 /** 2 * Internet access tools for queen agents — zero API keys required. 3 * 4 * webSearch → Playwright DDG (primary), HTTP DDG (fallback), Jina Search (last resort) 5 * webFetch → Jina Reader (primary), Playwright browser (fallback for blocked sites) 6 * browserAction → Playwright chromium (headless, accessibility tree snapshots, OpenClaw pattern) 7 */ 8 9 const MAX_CONTENT_CHARS = 12_000 10 const MAX_SNAPSHOT_CHA Agent context: Let me read the existing web tools implementation and load research tools.

agent_action

The repo already uses Jina Reader (unauthenticated) as primary with a Playwright fa...

The repo already uses Jina Reader (unauthenticated) as primary with a Playwright fallback. Now let me research the managed provider landscape and consult actual docs for the top candidates.

url

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

Fetch prompt: Summarize Firecrawl's scrape endpoint: what it returns (markdown/clean content extraction), authentication (API key), pricing/free tier, Node/TypeScript SDK availability, and key features like proxy/anti-bot handling. Be concise and factual. Tool result summary: # Firecrawl Scrape Endpoint Summary **What It Returns:** The endpoint extracts page content as markdown (default), with options for cleaned HTML, raw HTML, screenshots, and structured JSON. It also supports LLM-based extraction to "remove residual boilerplate that `onlyMainContent` can miss (cookie banners, ad blocks, social share widgets)." **Authentication:** Requires bearer token authentication via API key. **Pric Agent context: The repo already uses Jina Reader (unauthenticated) as primary with a Playwright fallback. Now let me research the managed provider landscape and consult actual docs for the top candidates.

url

https://jina.ai/reader/

Fetch prompt: Summarize Jina Reader (r.jina.ai): what it does for web page extraction to markdown, whether it works without an API key, what an API key adds (rate limits, features), pricing, and any Node/TypeScript usage. Be concise and factual. Tool result summary: # Jina Reader (r.jina.ai) Summary ## Core Functionality Jina Reader converts web URLs into clean, LLM-friendly markdown by extracting core content and removing extraneous HTML elements. It fetches pages through a browser-rendering proxy, making it useful for building AI agents and RAG systems. ## Free Usage (No API Key) Works without authentication at "20 RPM" (requests per minute). No token charges apply, though rat Agent context: The repo already uses Jina Reader (unauthenticated) as primary with a Playwright fallback. Now let me research the managed provider landscape and consult actual docs for the top candidates.

url

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

Fetch prompt: Summarize Tavily's Extract endpoint: what it returns (clean content from URLs), authentication, pricing/free tier, Node/TypeScript SDK availability, and whether it's designed for LLM/agent use. Be concise and factual. Tool result summary: # Tavily Extract API Summary **Purpose & Content:** Extracts and returns cleaned web page content from specified URLs, designed specifically for LLM agents and AI applications. **Returns:** Raw page content in markdown or plain text format, with optional image lists, favicons, and relevance-ranked chunks based on query parameters. **Authentication:** Bearer token authentication using Tavily API keys (format: `tvly-YO Agent context: The repo already uses Jina Reader (unauthenticated) as primary with a Playwright fallback. Now let me research the managed provider landscape and consult actual docs for the top candidates.

agent_action

## Recommendation: Jina Reader (`r.jina.ai`) **Context from the repo:** The agent a...

## Recommendation: Jina Reader (`r.jina.ai`) **Context from the repo:** The agent already fetches pages via `webFetch()` in `src/shared/web-tools.ts:125`, which calls Jina Reader as primary with a Playwright fallback. The codebase's design philosophy is "zero API keys required" (file header, line 2), and it already has a multi-provider **optional** key-resolution pattern (room credential → shared → Clerk → env var) used for the LLM providers. The cleanest "add the ability" here is to **formalize and harden the existing Jina integration** rather than bolt on a different provider. ### Why Jina over the others - **Zero-key default that scales with a key.** Jina is the only candidate that works with no API key (20 RPM) and steps up to 500 RPM (free key) / 5,000 RPM (paid) when one is supplied. This maps exactly onto the existing optional-credential pattern — drop an `Authorization: Bearer` header when a `jina_api_key` resolves, otherwise stay anonymous. Firecrawl and Tavily **require** a key for every call, which would break the zero-config default. - **Already integrated and battle-tested in this code** — adopting it is an upgrade (add optional auth header + the `X-Return-Format: mark

result

Selected unknown

Commands

exit code not materialized

exit code not materialized

grep -n "executeAnthropicApi\|executeAnthropicWithTools" /home/user/worktrees/attempt-bc6581db-6005-48cb-aaad-21f6708f91ac-cap-0/src/shared/agent-executor.ts | head -5

exit code not materialized

URLs Fetched

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

status not materialized

https://jina.ai/reader/

status not materialized

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

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