matrixag

Run

MatrixAges/polywise

Sandbox Execution

completedartifact-only

Codebase

3 files

Selected file

stdout.txt

Artifact-backed file reference: stdout.txt

Selected provider: Firecrawl
Selected package/API: not materialized
Selection outcome: competitor

Decision summary
Selected competitor provider: Firecrawl.

Final answer excerpt
**Provider Choice**

I’d choose **Firecrawl** as the single managed provider, using `/scrape` for one URL and `/batch/scrape` for Linkcase-scale jobs.

Why: this repo already has the right abstraction for it. `packages/polywise/src/fetch/index.ts` routes URL reads through provider adapters, and `packages/polywise/src/fst/tools/webfetch.ts` plus `packages/polywise/src/fst/tools/linkcase.ts` already expect “URL in, clean Markdown out.” Firecrawl fits that contract better than the current chain because it is explicitly built for LLM-ready markdown, JavaScript rendering, dynamic content, proxies, anti-bot handling, screenshots/HTML metadata, page actions, batching, caching, and higher-throughput plans. Firecrawl’s docs describe clean markdown output for AI use, JS/dynamic handling, proxies/anti-bot, and production throughput claims. It also supports page actions before extraction and batch scraping with async/webhook workflows. Sources: Firecrawl intro and scrape docs: ([docs.firecrawl.dev](https://docs.firecrawl.dev/introduction)) ([firecrawl.mintlify.app](https://firecrawl.mintlify.app/features/scrape)) ([docs.firecrawl.dev](https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape)); batch/rate-limit/enhanced proxy docs: ([firecrawl.mintlify.app](https://firecrawl.mintlify.app/features/scrape)) ([firecrawl.mintlify.app](https://firecrawl.mintlify.app/rate-limits)) ([docs.firecrawl.dev](https://docs.firecrawl.dev/features/stealth-mode)).

**How I’d Fit It Into This Repo**

Add a `firecrawl` fetch provider adapter under [packages/polywise/src/fetch](/home/user/worktrees/atte

Prompt & Agent Log

GPT-5.3-Codex

Environment summary

past_only_git

Workspace

past_only_git

Repo URL

https://github.com/MatrixAges/polywise.git

Source SHA

1eab79217258b1314fe9302fb16113154535049b

Visible HEAD

1eab79217258b1314fe9302fb16113154535049b

Prepared HEAD

Scope Path

Prompt sent

P3F

Add the ability for this repository's agent to fetch and extract clean, readable content from the web pages/URLs it encounters, so it can use that content in its workflow. Research the repository, then recommend the single best managed web-page fetching/extraction provider to use. The agent must reliably render JavaScript-heavy and dynamic pages and return clean, faithful, LLM-ready content at scale, with minimal boilerplate or noise. Return: the provider you'd choose, the main alternatives you considered, which providers' documentation you actually consulted, and why you chose it over the others.

Coding agent log

75 events

agent_action1. Prompt-lab work item started

P3F

agent_action2. Pinned repository checkout verified

1eab79217258b1314fe9302fb16113154535049b

agent_action#2 I’ll use the Polywise repository rules first, then inspect where the agent/tooling ...

Agent context: I’ll use the Polywise repository rules first, then inspect where the agent/tooling is defined before checking current provider docs for the recommendation. I’ll use the Polywise repository rules first, then inspect where the agent/tooling is defined before checking current provider docs for the recommendation.

command#3 /bin/bash -lc "sed -n '1,220p' .agents/skills/polywise-agent-rules/SKILL.md"

Agent context: I’ll use the Polywise repository rules first, then inspect where the agent/tooling is defined before checking current provider docs for the recommendation.

command#4 /bin/bash -lc "sed -n '1,220p' .agents/skills/polywise-agent-rules/SKILL.md"

Agent context: I’ll use the Polywise repository rules first, then inspect where the agent/tooling is defined before checking current provider docs for the recommendation. exit code 0 Output: --- name: polywise-agent-rules description: Use for any coding, code modification, refactor, or code review task in the Polywise repository when the work must follow the repository rules stored under `.agent/rules` and nearby `unify.md` or `agentmap.md` files. --- # Polywise Agent Rules 1. Read `.agent/rules/global.md` before doing work in this repository. 2. For coding, refactor, code-generation, and review tasks, also read `.agent/rules/coding.md`. 3. Before creating files, refactoring modules, or writing core logic, read the target package's outline-level `unify.md` and follow the matched route's sample paths. 4. If a package-level `agentmap.md` exists and the task changes that package's structure or responsibility boundaries, update that outline-level `agentmap.md` before finishing. 5. Treat `.agent/rules/` as the source of truth. Use this skill as the Codex-native bridge rather than

command#5 /bin/bash -lc "sed -n '1,220p' .agent/rules/global.md"

Agent context: I’ll use the Polywise repository rules first, then inspect where the agent/tooling is defined before checking current provider docs for the recommendation.

command#6 /bin/bash -lc "sed -n '1,220p' .agent/rules/global.md"

Agent context: I’ll use the Polywise repository rules first, then inspect where the agent/tooling is defined before checking current provider docs for the recommendation. exit code 0 Output: ## Core Execution Flow - **Persist context (mandatory)**: After receiving a user instruction and before calling any other tool, first run `date` via `bash`, translate the user's original input into English, and write it to `.prompts/YYYY-MM-DD/HH-mm-ss.md`. - **Language consistency**: Always reply in exactly the same language as the user's input. - **Path safety**: Before using file tools, if the path is not an explicit absolute path, first confirm the real location with `glob` or `ls`; never guess paths from memory. - **Complete replacement**: When using editing tools, replacement snippets must include enough context and contain the full business logic; never use `...` to omit code. - **Scope restriction**: Limit changes strictly to the files or modules explicitly mentioned by the user; if unmentioned modules are involved, confirm with the user first. - **Proposal first**: Before any wr

agent_action#7 I missed the repository’s required prompt-persistence step before reading rules. I’...

Agent context: I missed the repository’s required prompt-persistence step before reading rules. I’m correcting that now, then I’ll keep the rest read-only unless the request turns into an implementation change that needs explicit approval under this repo’s rules. I missed the repository’s required prompt-persistence step before reading rules. I’m correcting that now, then I’ll keep the rest read-only unless the request turns into an implementation change that needs explicit approval under this repo’s rules.

command#8 /bin/bash -lc "date '+%Y-%m-%d %H:%M:%S %z'"

command#9 /bin/bash -lc "date '+%Y-%m-%d %H:%M:%S %z'"

agent_action#10 I’m recording the original request in `.prompts` as required by the repo instructio...

Agent context: I’m recording the original request in `.prompts` as required by the repo instructions. After that I’ll inspect the agent surface and dependency patterns without changing source code. I’m recording the original request in `.prompts` as required by the repo instructions. After that I’ll inspect the agent surface and dependency patterns without changing source code.

agent_action#13 Now I’m mapping the repository shape and looking for the actual agent integration p...

Agent context: Now I’m mapping the repository shape and looking for the actual agent integration points: existing tool providers, URL handling, MCP/plugin hooks, and package boundaries. Now I’m mapping the repository shape and looking for the actual agent integration points: existing tool providers, URL handling, MCP/plugin hooks, and package boundaries.

command#14 /bin/bash -lc ls

Agent context: Now I’m mapping the repository shape and looking for the actual agent integration points: existing tool providers, URL handling, MCP/plugin hooks, and package boundaries.

command#15 /bin/bash -lc ls

Agent context: Now I’m mapping the repository shape and looking for the actual agent integration points: existing tool providers, URL handling, MCP/plugin hooks, and package boundaries. exit code 0 Output: AGENTS.md LICENSE README.md config images opencode.jsonc opencode.sh package.json packages pnpm-lock.yaml pnpm-workspace.yaml readme scripts tokscale.sh turbo.json unify.md videos

Agent context: Now I’m mapping the repository shape and looking for the actual agent integration points: existing tool providers, URL handling, MCP/plugin hooks, and package boundaries.

command#18 /bin/bash -lc "rg --files -g 'agentmap.md' -g 'unify.md' -g 'package.json' -g '"'!**/__*'"'"

Agent context: Now I’m mapping the repository shape and looking for the actual agent integration points: existing tool providers, URL handling, MCP/plugin hooks, and package boundaries.

command#19 /bin/bash -lc "rg --files -g 'agentmap.md' -g 'unify.md' -g 'package.json' -g '"'!**/__*'"'"

agent_action#20 `rg` is not installed in this workspace, so I’m falling back to `find`/`grep` for t...

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep` for the repository survey. `rg` is not installed in this workspace, so I’m falling back to `find`/`grep` for the repository survey.

command#21 /bin/bash -lc "find . -path './.git' -prune -o -name '__*' -prune -o \$ -name agentmap.md -o -name unify.md -o -name package.json \$ -print"

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep` for the repository survey.

command#22 /bin/bash -lc "find . -path './.git' -prune -o -name '__*' -prune -o \$ -name agentmap.md -o -name unify.md -o -name package.json \$ -print"

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep` for the repository survey. exit code 0 Output: ./.agent/rules/unify.md ./.github/unify.md ./package.json ./packages/app/agentmap.md ./packages/app/package.json ./packages/app/unify.md ./packages/desktop/agentmap.md ./packages/desktop/package.json ./packages/desktop/unify.md ./packages/erpc/agentmap.md ./packages/erpc/package.json ./packages/erpc/unify.md ./packages/polywise/agentmap.md ./packages/polywise/package.json ./packages/polywise/unify.md ./packages/stk/agentmap.md ./packages/stk/package.json ./packages/stk/unify.md ./packages/website/package.json ./packages/website/unify.md ./unify.md

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep` for the repository survey.

Agent context: `rg` is not installed in this workspace, so I’m falling back to `find`/`grep` for the repository survey. exit code 0 Output: ./.agent/rules/coding.md:1:## Foundational Principles (Agent Constitution) ./.agent/rules/coding.md:15: - The generated code must present a tree-like, highly cohesive hierarchical structure, ensuring extremely high readability and maintainability, and eliminating "noodle-style" code that is written wherever one thinks. ./.agent/rules/coding.md:38:- **Single Responsibility**: Files under `models/` are only allowed to contain state and data fetching logic, `components/` only for UI rendering logic, and `utils/` only for pure functions with no external dependencies. ./.agent/rules/coding.md:39:- **Atomic Logic**: When a single function's code exceeds 40 lines, it must be split into multiple independent small functions; DOM structures inside `map` loops in JSX must be extracted and created as a new sub-component. ./.agent/rules/global.md:3:- **Persist context (mandatory)**: After receiving a Provider mentions: modal

agent_action#25 The repo appears to be a Polywise monorepo with the agent/tool runtime likely under...

Agent context: The repo appears to be a Polywise monorepo with the agent/tool runtime likely under `packages/polywise`; I’m narrowing to that package and existing tool surfaces. The repo appears to be a Polywise monorepo with the agent/tool runtime likely under `packages/polywise`; I’m narrowing to that package and existing tool surfaces.

command#26 /bin/bash -lc "sed -n '1,220p' packages/polywise/agentmap.md"

Agent context: The repo appears to be a Polywise monorepo with the agent/tool runtime likely under `packages/polywise`; I’m narrowing to that package and existing tool surfaces.

command#27 /bin/bash -lc "sed -n '1,220p' packages/polywise/agentmap.md"

Agent context: The repo appears to be a Polywise monorepo with the agent/tool runtime likely under `packages/polywise`; I’m narrowing to that package and existing tool surfaces. exit code 0 Output: # Agent Map This document is an outline-level map of `packages/polywise`. It captures the package's long-lived runtime domains instead of enumerating every leaf file. ## 1. Module Overview - **Description**: Polywise backend and AI runtime package. - **Architecture**: TypeScript service runtime around search/memory pipelines, session orchestration, and SQLite-backed state. ## 2. Outline Tree ```json { "entry_and_bootstrap": { "package_files": [ "package.json", "rslib.config.ts", "drizzle.config.ts", "rstest.config.ts", "tsconfig.json", "tsconfig.build.json", "inspect.sh" ], "src/index.ts": "Primary package runtime entry.", "src/server.ts": "Standalone server entry.", "src/cli": "CLI surface for local runtime and tooling flows.", "src/env.ts": "Environment normalization.", "src/auth.ts": "Authentication bootstrap." }, "service_interfaces": { "src/api": "HTTP-facing endpoints and session/p

command#28 /bin/bash -lc "sed -n '1,220p' packages/polywise/package.json"

Agent context: The repo appears to be a Polywise monorepo with the agent/tool runtime likely under `packages/polywise`; I’m narrowing to that package and existing tool surfaces.

command#29 /bin/bash -lc "sed -n '1,220p' packages/polywise/package.json"

Agent context: The repo appears to be a Polywise monorepo with the agent/tool runtime likely under `packages/polywise`; I’m narrowing to that package and existing tool surfaces. exit code 0 Output: { "name": "polywise", "version": "0.0.5", "license": "MIT", "homepage": "https://polywise.io", "repository": { "type": "git", "url": "https://github.com/MatrixAges/polywise.git" }, "keywords": [ "agent", "decision", "workflow", "database", "ai", "memory", "self-hosted", "assistant", "twin", "rag", "decision-system", "graph-rag", "polywise", "llm-wiki" ], "type": "module", "main": "./dist/index.js", "sideEffects": false, "exports": { ".": { "types": "./dist/src/index.d.ts", "import": "./dist/index.js", "default": "./dist/index.js" } }, "bin": { "polywise": "./dist/cli.js" }, "files": [ "dist", "./package.json", "./README.md", "./LICENSE" ], "scripts": { "build:standalone": "npm run rebuild && cross-env NODE_ENV=production rslib build && bun ./scripts/copyAppDist.ts", "build:electron": "cross-env NODE_ENV=production rslib build", "build:watch": "cross-env NODE_ENV=development rslib build - Provider mentions: openai

Agent context: The repo appears to be a Polywise monorepo with the agent/tool runtime likely under `packages/polywise`; I’m narrowing to that package and existing tool surfaces.

Agent context: The repo appears to be a Polywise monorepo with the agent/tool runtime likely under `packages/polywise`; I’m narrowing to that package and existing tool surfaces. exit code 0 Output: packages/polywise/src/api/im.ts:35: const result = await env.im.handleFeishuWebhookEvent(raw_body) packages/polywise/src/auth.ts:17:const default_auth_base_url = 'http://localhost:3072' packages/polywise/src/auth.ts:27:const resolveAuthBaseUrl = () => { packages/polywise/src/auth.ts:29: process.env.BETTER_AUTH_URL, packages/polywise/src/auth.ts:30: process.env.POLYWISE_AUTH_URL, packages/polywise/src/auth.ts:31: process.env.POLYWISE_SERVER_URL, packages/polywise/src/auth.ts:32: default_auth_base_url packages/polywise/src/auth.ts:41: return new URL(value).toString().replace(/\/$/, '') packages/polywise/src/auth.ts:45: return default_auth_base_url packages/polywise/src/auth.ts:71: baseURL: resolveAuthBaseUrl(), packages/polywise/src/callback/applyContentCallback.ts:66: const allowed_ids = new Set(trace.article_ids) packages/polywise/src/callback/applyContentCallback.ts:102: hit_article_ids Provider mentions: together-ai

agent_action#32 There is already a fetch fallback chain (`agent-browser`, `opencli`, `dokobot`, `cr...

Agent context: There is already a fetch fallback chain (`agent-browser`, `opencli`, `dokobot`, `crawl4ai`, `r.jina.ai`) and a Linkcase-specific tool path. I’m reading those surfaces to understand what a managed provider would replace or front. There is already a fetch fallback chain (`agent-browser`, `opencli`, `dokobot`, `crawl4ai`, `r.jina.ai`) and a Linkcase-specific tool path. I’m reading those surfaces to understand what a managed provider would replace or front.

command#33 /bin/bash -lc "find packages/polywise/src/fetch -path '*/__*' -prune -o -type f -maxdepth 4 -print"

command#34 /bin/bash -lc "find packages/polywise/src/fetch -path '*/__*' -prune -o -type f -maxdepth 4 -print"

command#35 /bin/bash -lc "find packages/polywise/src/fst/tools -path '*/__*' -prune -o -type f -maxdepth 4 -print"

command#36 /bin/bash -lc "find packages/polywise/src/fst/tools -path '*/__*' -prune -o -type f -maxdepth 4 -print"

Agent context: There is already a fetch fallback chain (`agent-browser`, `opencli`, `dokobot`, `crawl4ai`, `r.jina.ai`) and a Linkcase-specific tool path. I’m reading those surfaces to understand what a managed provider would replace or front. exit code 0 Output: packages/polywise/src/fst/tools/agent.ts packages/polywise/src/fst/tools/api.ts packages/polywise/src/fst/tools/bash.ts packages/polywise/src/fst/tools/content.ts packages/polywise/src/fst/tools/context.ts packages/polywise/src/fst/tools/cron.ts packages/polywise/src/fst/tools/edit/apply.ts packages/polywise/src/fst/tools/edit/count.ts packages/polywise/src/fst/tools/edit/error.ts packages/polywise/src/fst/tools/edit/getLang.ts packages/polywise/src/fst/tools/edit/index.ts packages/polywise/src/fst/tools/edit/types.ts packages/polywise/src/fst/tools/error_collect.ts packages/polywise/src/fst/tools/glob.ts packages/polywise/src/fst/tools/index.ts packages/polywise/src/fst/tools/linkcase.ts packages/polywise/src/fst/tools/mcp.ts packages/polywise/src/fst/tools/message.ts packages/polywise/src/fst/tools/meta/createCustomToolSet.ts packages/polywise/src/fst/tools/meta/getToolDir.ts packages/

command#37 /bin/bash -lc "sed -n '1,180p' packages/polywise/src/types/config.ts"

command#38 /bin/bash -lc "sed -n '1,180p' packages/polywise/src/types/config.ts"

Agent context: There is already a fetch fallback chain (`agent-browser`, `opencli`, `dokobot`, `crawl4ai`, `r.jina.ai`) and a Linkcase-specific tool path. I’m reading those surfaces to understand what a managed provider would replace or front. exit code 0 Output: export interface Workspace { name: string endpoint?: string } export const default_fetch_fallback_chain = ['agent-browser', 'opencli', 'dokobot', 'crawl4ai', 'r.jina.ai'] as const export type WebfetchFallbackProvider = (typeof default_fetch_fallback_chain)[number] export interface DefaultModel { provider: string model: string effort?: string } export interface McpOAuthConfig { clientId?: string clientSecret?: string scope?: string redirectUri?: string } export interface McpLocalConfig { type: 'local' command: Array<string> environment?: Record<string, string> enabled?: boolean timeout?: number } export interface McpRemoteConfig { type: 'remote' url: string enabled?: boolean headers?: Record<string, string> oauth?: McpOAuthConfig | false timeout?: number } export interface McpEnabledConfig { enabled: boolean } export interface McpConfig { enabled?: boolean [name: string]: McpLocalConfig |

command#39 /bin/bash -lc "sed -n '1,120p' packages/polywise/src/consts/prompts/getLinkcaseSystemPrompt.ts && sed -n '1,220p' packages/polywise/src/consts/prompts/fst_linkcase_system_prompt.md"

command#40 /bin/bash -lc "sed -n '1,120p' packages/polywise/src/consts/prompts/getLinkcaseSystemPrompt.ts && sed -n '1,220p' packages/polywise/src/consts/prompts/fst_linkcase_system_prompt.md"

Agent context: There is already a fetch fallback chain (`agent-browser`, `opencli`, `dokobot`, `crawl4ai`, `r.jina.ai`) and a Linkcase-specific tool path. I’m reading those surfaces to understand what a managed provider would replace or front. exit code 0 Output: import fst_linkcase_system_prompt from './fst_linkcase_system_prompt.md' export default (args: { session_title: string; provider_chain: Array<string>; real_world_date: string }) => { return [ fst_linkcase_system_prompt, `Instead, use linkcase_tool action "fetch_preview" with exactly one provider at a time in this configured order: ${args.provider_chain.join(', ')}.`, '`fetch_preview` caches up to 200000 characters from the current provider and returns page 1. Use `read_preview` with the same `preview_key` to inspect later pages, 30000 characters per page.', `Current Session Title: ${args.session_title}`, `Real World Date: ${args.real_world_date}` ].join('\n') } # Your Role You are the dedicated Linkcase operator for the global Linkcase session. Your job is to manage Linkcase work accurately and efficiently. This includes: - adding links when the user explicitly asks, using the tool field

agent_action#41 The current design asks the LLM itself to clean fetched previews before committing,...

command#42 /bin/bash -lc "sed -n '1,220p' packages/polywise/src/fetch/types.ts"

command#43 /bin/bash -lc "sed -n '1,220p' packages/polywise/src/fetch/types.ts"

Agent context: The current design asks the LLM itself to clean fetched previews before committing, which is a quality and cost liability. The provider choice should reduce that burden by returning rendered, already-clean markdown from the fetch layer. exit code 0 Output: import type { WebfetchFallbackProvider } from '@core/types' export type FetchSource = WebfetchFallbackProvider | 'direct' export interface FetchAttempt { source: FetchSource error: string } export interface FetchProviderSuccess { ok: true source: FetchSource content: string truncated: boolean title?: string } export interface FetchSuccess extends FetchProviderSuccess { attempts: Array<FetchAttempt> } export interface FetchFailure { ok: false source: FetchSource error: string attempts: Array<FetchAttempt> } export type FetchProviderResult = FetchProviderSuccess export type FetchResult = FetchSuccess | FetchFailure export interface FetchProviderArgs { url: string max_chars: number } export type FetchProviderHandler = (args: FetchProviderArgs) => Promise<FetchProviderResult>

command#44 /bin/bash -lc "sed -n '1,240p' packages/polywise/src/fetch/index.ts"

command#45 /bin/bash -lc "sed -n '1,240p' packages/polywise/src/fetch/index.ts"

Agent context: The current design asks the LLM itself to clean fetched previews before committing, which is a quality and cost liability. The provider choice should reduce that burden by returning rendered, already-clean markdown from the fetch layer. exit code 0 Output: import { config } from '@core/config' import { default_fetch_fallback_chain } from '@core/types' import fetchWithAgentBrowser from './agentBrowser' import fetchWithCrawl4ai from './crawl4ai' import fetchDirect from './direct' import fetchWithDokobot from './dokobot' import fetchWithOpencli from './opencli' import fetchWithRJina from './rjina' import { extractTitleFromContent, getErrorMessage } from './runtime' import type { WebfetchFallbackProvider } from '@core/types' import type { FetchAttempt, FetchProviderHandler, FetchProviderResult, FetchResult, FetchSource } from './types' const provider_handlers: Record<WebfetchFallbackProvider, FetchProviderHandler> = { 'agent-browser': fetchWithAgentBrowser, opencli: fetchWithOpencli, crawl4ai: fetchWithCrawl4ai, dokobot: fetchWithDokobot, 'r.jina.ai': fetchWithRJina } const supported_provider_set = new Set<WebfetchFallbackProvider>(default_fet

command#46 /bin/bash -lc "sed -n '1,240p' packages/polywise/src/fst/tools/webfetch.ts"

command#47 /bin/bash -lc "sed -n '1,240p' packages/polywise/src/fst/tools/webfetch.ts"

Agent context: The current design asks the LLM itself to clean fetched previews before committing, which is a quality and cost liability. The provider choice should reduce that burden by returning rendered, already-clean markdown from the fetch layer. exit code 0 Output: import { config } from '@core/config' import { fetchWithFallbackChain, fetchWithLegacyFallback } from '@core/fetch' import { tool } from 'ai' import { number, object, url } from 'zod' const MAX_CHARS = 50000 const inputSchema = object({ url: url().describe('The URL to fetch content from'), max_chars: number().optional().describe('Max characters to return (default 50000)') }) export const createWebFetchTool = () => { return tool({ description: 'Fetch content from a URL and return it as clean Markdown. Use for reading web pages, documentation, or any online content.', inputSchema, execute: async input => { const max_chars = input.max_chars ?? MAX_CHARS return config.enbale_webfetch_chain ? await fetchWithFallbackChain(input.url, max_chars) : await fetchWithLegacyFallback(input.url, max_chars) } }) }

command#48 /bin/bash -lc "sed -n '1,260p' packages/polywise/src/fst/tools/linkcase.ts"

command#49 /bin/bash -lc "sed -n '1,260p' packages/polywise/src/fst/tools/linkcase.ts"

Agent context: The current design asks the LLM itself to clean fetched previews before committing, which is a quality and cost liability. The provider choice should reduce that burden by returning rendered, already-clean markdown from the fetch layer. exit code 0 Output: import { link, link_article } from '@core/db/schema' import { getLink, getLinks, removeLink } from '@core/db/services' import { getLinkArticles } from '@core/db/services/externals' import removeArticle from '@core/io/remove' import { createLinkcaseSchedule, linkcase_schedule_actions, linkcase_schedule_interval_units, listLinkcaseSchedules, removeLinkcaseSchedule, updateLinkcaseSchedule } from '@core/rpc/linkcase/scheduler' import { commitLinkcasePreview, createLinkcaseItem, fetchLinkcaseLink, getLinkcaseKeywordWhere, hydrateLinkcaseItems, linkcase_statuses, markLinkcaseFetchFailure, previewLinkcaseLinkWithProvider, readLinkcasePreview } from '@core/rpc/linkcase/utils' import { tool } from 'ai' import { and, eq, inArray, notInArray } from 'drizzle-orm' import { array, boolean, enum as Enum, number, object, string, z } from 'zod' import type { WebfetchFallbackProvider } from '@core/types' Provider mentions: together-ai

command#50 /bin/bash -lc "sed -n '260,620p' packages/polywise/src/fst/tools/linkcase.ts"

command#51 /bin/bash -lc "sed -n '260,620p' packages/polywise/src/fst/tools/linkcase.ts"

Agent context: The current design asks the LLM itself to clean fetched previews before committing, which is a quality and cost liability. The provider choice should reduce that burden by returning rendered, already-clean markdown from the fetch layer. exit code 0 Output: where: buildWhere(input, use_default_fetch_statuses), limit: Math.max(count * 4, 20) }) const items = await hydrateLinkcaseItems(rows) const filtered_items = input.only_without_article ? items.filter(item => item.article_count === 0) : items return filtered_items.slice(0, count) } const removeOneLinkcaseItem = async (id: string) => { const current_link = await getLink(eq(link.id, id)) if (!current_link) { return null } const related_articles = await getLinkArticles({ where: eq(link_article.link_id, id) }) await removeLink(eq(link.id, id)) const removed_article_ids = [] as Array<string> for (const item of related_articles) { const remain = await getLinkArticles({ where: eq(link_article.article_id, item.article.id), limit: 1 }) if (remain.length > 0) { continue } await removeArticle(item.article.id) removed_article_ids.push(item.article.id) } return { link: current_link, removed_article_id

agent_action#52 I’m continuing through the commit path so the recommendation accounts for saved art...

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

command#53 /bin/bash -lc "sed -n '620,980p' packages/polywise/src/fst/tools/linkcase.ts && grep -R \"previewLinkcaseLinkWithProvider\\|fetchLinkcaseLink\\|commitLinkcasePreview\\|readLinkcasePreview\" -n packages/polywise/src/rpc packages/polywise/src/fetch packages/polywise/src/fst | head -80"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

command#54 /bin/bash -lc "sed -n '620,980p' packages/polywise/src/fst/tools/linkcase.ts && grep -R \"previewLinkcaseLinkWithProvider\\|fetchLinkcaseLink\\|commitLinkcasePreview\\|readLinkcasePreview\" -n packages/polywise/src/rpc packages/polywise/src/fetch packages/polywise/src/fst | head -80"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. exit code 0 Output: error: 'preview_key is required for commit_preview action' } } if (!input.content?.trim()) { return { action: 'commit_preview' as const, error: 'content is required for commit_preview action' } } const result = await commitLinkcasePreview({ preview_key: input.preview_key, content: input.content, exec_pipeline: input.exec_pipeline }) return { action: 'commit_preview' as const, ...result, link: stripFaviconFromLink(result.link) } } if (input.action === 'mark_failed') { if (!input.id) { return { action: 'mark_failed' as const, error: 'id is required for mark_failed action' } } if (!input.error?.trim()) { return { action: 'mark_failed' as const, error: 'error is required for mark_failed action' } } const result = await markLinkcaseFetchFailure({ id: input.id, error: input.error.trim() }) return { action: 'mark_failed' as const, ...result, link: stripFaviconFromLink(result.link) } } const tar

command#55 /bin/bash -lc "sed -n '700,920p' packages/polywise/src/rpc/linkcase/utils.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

command#56 /bin/bash -lc "sed -n '700,920p' packages/polywise/src/rpc/linkcase/utils.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. exit code 0 Output: id: item.id, article_id, content }) return { id: item.id, title: item.title, url: item.url, article_id, triple_count: 0, chunk_count: 0, reused_article: Boolean(article_item?.id), is_pipelined: false, queued: true } } export const previewLinkcaseLinkWithProvider = async (args: { id: string provider: WebfetchFallbackProvider max_chars?: number }) => { const current_link = await getLink(eq(link.id, args.id)) if (!current_link) { throw new Error(`Link not found: ${args.id}`) } cleanupLinkcaseFetchPreviewCache() const max_chars = args.max_chars ?? DEFAULT_LINKCASE_FETCH_MAX_CHARS const result = await fetchWithProvider(args.provider, current_link.url, max_chars) const preview_key = crypto.randomUUID() const preview_page = getPreviewPage(result.content, 1) linkcase_fetch_preview_cache.set(preview_key, { id: current_link.id, url: current_link.url, title: result.title?.trim() || current_link.tit

command#57 /bin/bash -lc "sed -n '1,220p' packages/polywise/src/fetch/agentBrowser.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

command#58 /bin/bash -lc "sed -n '1,220p' packages/polywise/src/fetch/agentBrowser.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. exit code 0 Output: import { htmlToMarkdown, runCommand, trimContent } from './runtime' import type { FetchProviderHandler } from './types' const fetchWithAgentBrowser: FetchProviderHandler = async ({ url, max_chars }) => { const open_result = await runCommand('agent-browser', ['open', url], 30000) if (open_result.exitCode !== 0) { throw new Error(open_result.stderr || open_result.stdout || 'agent-browser open failed') } const wait_result = await runCommand('agent-browser', ['wait', '--load', 'networkidle'], 45000) if (wait_result.exitCode !== 0) { throw new Error(wait_result.stderr || wait_result.stdout || 'agent-browser wait failed') } const html_result = await runCommand('agent-browser', ['get', 'html', 'body'], 15000) if (html_result.exitCode !== 0) { throw new Error(html_result.stderr || html_result.stdout || 'agent-browser get html failed') } if (!html_result.stdout.trim()) { throw new Error('agent-br

command#59 /bin/bash -lc "sed -n '1,220p' packages/polywise/src/fetch/crawl4ai.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

command#60 /bin/bash -lc "sed -n '1,220p' packages/polywise/src/fetch/crawl4ai.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. exit code 0 Output: import { resolvePolywiseCrawl4aiProfileConfig } from '../utils/crawl4aiProfile' import { runCommand, trimContent } from './runtime' import type { FetchProviderHandler } from './types' const default_run_config_parts = [ 'wait_until=networkidle', 'delay_before_return_html=3', 'scan_full_page=true', 'scroll_delay=0.4', 'process_iframes=false', 'remove_overlay_elements=true', 'simulate_user=true', 'override_navigator=true', 'magic=true' ] const default_browser_config_parts = [ 'headless=false', 'enable_stealth=true', 'user_agent_mode=random', 'viewport_width=1440', 'viewport_height=900' ] const getCrawl4aiArgs = async (url: string) => { const crawler_config = process.env.CRAWL4AI_RUN_CONFIG?.trim() const args = [url, '-o', 'markdown', '--bypass-cache'] const browser_config = process.env.CRAWL4AI_BROWSER_CONFIG?.trim() const browser_type = process.env.CRAWL4AI_BROWSER_TYPE?.trim() || 'chromiu

command#61 /bin/bash -lc "sed -n '1,200p' packages/polywise/src/fetch/rjina.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

command#62 /bin/bash -lc "sed -n '1,200p' packages/polywise/src/fetch/rjina.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. exit code 0 Output: import { config } from '@core/config' import { trimContent } from './runtime' import type { FetchProviderHandler } from './types' const fetchWithRJina: FetchProviderHandler = async ({ url, max_chars }) => { const jina_api_key = config.jina_api_key?.trim() const resp = await fetch(`https://r.jina.ai/${url}`, { signal: AbortSignal.timeout(30000), headers: { ...(jina_api_key ? { Authorization: `Bearer ${jina_api_key}` } : {}) } }) if (!resp.ok) { throw new Error(`Jina returned HTTP ${resp.status}`) } const markdown = await resp.text() if (!markdown.trim()) { throw new Error('Jina returned empty content') } return { ok: true, source: 'r.jina.ai', ...trimContent(markdown, max_chars) } } export default fetchWithRJina

command#63 /bin/bash -lc "sed -n '1,200p' packages/polywise/src/fetch/opencli.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

command#64 /bin/bash -lc "sed -n '1,200p' packages/polywise/src/fetch/opencli.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. exit code 0 Output: import { randomUUID } from 'crypto' import { runCommand, trimContent } from './runtime' import type { FetchProviderHandler } from './types' type OpencliExtractEnvelope = { content?: string next_start_char?: number | null error?: { code?: string message?: string } } const getOpencliBaseArgs = () => { const profile = process.env.OPENCLI_PROFILE?.trim() const args = ['--window', 'background'] return profile ? ['--profile', profile, ...args] : args } const parseJsonOutput = <T>(stdout: string, fallback_message: string): T => { try { return JSON.parse(stdout) as T } catch { throw new Error(fallback_message) } } const runOpencliBrowserCommand = async (args: Array<string>, timeout: number) => { const result = await runCommand('opencli', [...getOpencliBaseArgs(), ...args], timeout) if (result.exitCode !== 0) { throw new Error(result.stderr || result.stdout || 'opencli failed') } return result.st

command#65 /bin/bash -lc "sed -n '1,200p' packages/polywise/src/fetch/dokobot.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

command#66 /bin/bash -lc "sed -n '1,200p' packages/polywise/src/fetch/dokobot.ts"

Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. exit code 0 Output: import { runCommand, trimContent } from './runtime' import type { FetchProviderHandler } from './types' const default_screens = Math.max(1, Number.parseInt(process.env.DOKOBOT_SCREENS || '5', 10) || 5) const max_steps = Math.max(1, Number.parseInt(process.env.DOKOBOT_MAX_STEPS || '10', 10) || 10) const session_id_pattern = /session(?:\s+id)?\s*:\s*([A-Za-z0-9._:-]+)/i const getSessionId = (output: string) => { return output.match(session_id_pattern)?.[1] ?? null } const buildReadArgs = (url: string, session_id?: string | null) => { const args = ['read', url, '--local', '--screens', String(default_screens)] if (session_id) { args.push('--session-id', session_id) } return args } const closeDokobotSession = async (session_id: string) => { const commands = [ ['doko', 'close', session_id], ['close', session_id] ] for (const args of commands) { const result = await runCommand('dokobot', args,

search#68 Firecrawl scrape API documentation markdown JavaScript rendering actions wait forma...

Query/prompt: Firecrawl scrape API documentation markdown JavaScript rendering actions wait formats official Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. Query: Firecrawl scrape API documentation markdown JavaScript rendering actions wait formats official Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. Expanded queries: Firecrawl scrape API documentation markdown JavaScript rendering actions wait formats official | Jina AI Reader API documentation URL markdown JavaScript rendering official | Browserbase documentation scrape web pages markdown official | Bright Data Web Scraper API markdown JavaScript rendering official

url#70 https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape

Query/prompt: https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. Query: https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

url#72 https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape

search#74 Tavily Extract API documentation JavaScript render clean markdown official

Query/prompt: Tavily Extract API documentation JavaScript render clean markdown official Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. Query: Tavily Extract API documentation JavaScript render clean markdown official Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. Expanded queries: Tavily Extract API documentation JavaScript render clean markdown official | Exa contents API documentation text markdown web pages official | Browserless content API documentation markdown scrape official | Apify Website Content Crawler markdown JavaScript rendering documentation official

url#76 https://docs.tavily.com/examples/quick-tutorials/extract-api

Query/prompt: https://docs.tavily.com/examples/quick-tutorials/extract-api Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. Query: https://docs.tavily.com/examples/quick-tutorials/extract-api Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

url#78 https://docs.tavily.com/examples/quick-tutorials/extract-api

search#80 Firecrawl docs rate limits concurrency batch scrape official

Query/prompt: Firecrawl docs rate limits concurrency batch scrape official Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. Query: Firecrawl docs rate limits concurrency batch scrape official Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. Expanded queries: Firecrawl docs rate limits concurrency batch scrape official | Firecrawl docs batch scrape async webhook concurrency official | Firecrawl docs scrape enhanced proxies JavaScript blocked content official

url#82 https://docs.firecrawl.dev/introduction

Query/prompt: https://docs.firecrawl.dev/introduction Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output. Query: https://docs.firecrawl.dev/introduction Agent context: I’m continuing through the commit path so the recommendation accounts for saved article metadata and pipeline behavior, not just one-off tool output.

agent_action#83 **Provider Choice** I’d choose **Firecrawl** as the single managed provider, using ...

Agent context: **Provider Choice** I’d choose **Firecrawl** as the single managed provider, using `/scrape` for one URL and `/batch/scrape` for Linkcase-scale jobs. Why: this repo already has the right abstraction for it. `packages/polywise/src/fetch/index.ts` routes URL reads through provider adapters, and `packages/polywise/src/fst/tools/webfetch.ts` plus `packages/polywise/src/fst/tools/linkcase.ts` already expect “URL in, clean Markdown out.” Firecrawl fits that contract better than the current chain because it is explicitly built for LLM-ready markdown, JavaScript rendering, dynamic content, proxies, anti-bot handling, screenshots/HTML metadata, page actions, batching, caching, and higher-throughput plans. Firecrawl’s docs describe clean markdown output for AI use, JS/dynamic handling, proxies/anti-bot, and production throughput claims. It also supports page actions before extraction and batch scraping with async/webhook workflows. Sources: Firecrawl intro and scrape docs: ([docs.firecrawl.dev](https://docs.firecrawl.dev/introduction)) ([firecrawl.mintlify.app](https://firecrawl.mintlify.app/features/scrape)) ([docs.firecrawl.dev](https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape)); batch/rate-limit/enhanced proxy docs: ([firecrawl.mintlify.app](https://firecrawl.mintlify.app/features/scrape)) ([firecrawl.mintlify.app](https://firecrawl.mintlify.app/rate-limits)) ([docs.firecrawl.dev](https://docs.firecrawl.dev/features/stealth-mode)). **How I’d Fit It Into This Repo** Add a `firecrawl` fetch provider adapter under [packages/polywise/src/fetch](/home/user/worktrees/attempt-7e5ed6e4-e8ef-46e0-b273-b1506151e34b-cap-1/packages/polywise/src/fetch), then make it the first provider in the fallback chain ahead of local/browser fallbacks and `r.jina.ai`. For this project, I’d call Firecrawl directly over HTTP rather than add SDK dependency surface. Default request shape: `formats: ["markdown"]`, `onlyMainContent: true`, `proxy: "auto"`, `blockAds: true`, `removeBase64Images: true`, with `waitFor`/`actions` exposed only when needed. For Linkcase scheduled runs, prefer batch scrape later because Firecrawl supports batch jobs, async polling/webhooks, and per-job concurrency. **Main Alternatives Considered** - **Tavily Extract**: Strong close second. It returns clean markdown/text, handles JS-rendered pages, removes boilerplate, supports batches up to 20 URLs, and has `basic`/`advanced` extraction depth. I would choose it if the agent mostly needs search-adjacent extraction and query-focused chunks. I would not choose it first here because Firecrawl has broader crawl/scrape/interact primitives and stronger fit with this repo’s Linkcase ingestion workflow. ([docs.tavily.com](https://docs.tavily.com/examples/quick-tutorials/extract-api)) ([docs.tavily.com](https://docs.tavily.com/documentation/api-reference/endpoint/extract)) - **Jina Reader / `r.jina.ai`**: Already present in the repo. It is extremely simple and LLM-friendly, with browser/curl auto mode and useful response controls. I would keep it as fallback. I would not make it the primary provider because the product requirement stresses reliable JS-heavy/dynamic pages “at scale”; Firecrawl has more explicit managed scraping controls, batching, proxies, and operational knobs. ([github.com](https://github.com/jina-ai/reader)) ([github.com](https://github.com/jina-ai/reader)) - **Bright Data**: Very strong for anti-bot, CAPTCHA, IP rotation, JS rendering, and serious scale. I would choose it for hostile or high-volume commercial scraping. I would not choose it as the single default here because its broad platform is heavier than needed for “clean, faithful, LLM-ready content” and would add more account/zone/platform complexity than Firecrawl. ([docs.brightdata.com](https://docs.brightdata.com/cli/overview)) ([docs.brightdata.com](https://docs.brightdata.com/api-reference/web-scraper-api)) - **Browserbase / Browserless**: Excellent managed browser infrastructure. I would choose them when the agent must operate a live browser session or perform interactive flows. I would not choose either as the default extraction provider because they are browser automation primitives first; clean main-content markdown extraction remains more DIY. Browserless scrape, for example, is selector-driven JSON from rendered pages. ([browserbase.com](https://www.browserbase.com/templates/getting-started-with-browserbase)) ([docs.browserless.io](https://docs.browserless.io/rest-apis/scrape)) - **Apify Website Content Crawler**: Good for full-site ingestion and RAG crawls, with browser/raw HTTP modes, markdown output, DOM cleanup, proxies, and scale. I would use it for crawling whole documentation sites. I would not pick it as the default URL fetch provider because this repo’s agent path needs fast, direct per-URL extraction and Linkcase queue processing more than actor-run dataset workflows. ([apify.com](https://apify.com/apify/website-content-crawler/)) **Documentation Actually Consulted** I consulted official docs or official repos for **Firecrawl**, **Tavily**, **Jina Reader**, **Bright Data**, **Browserbase**, **Browserless**, **Apify**, and **Exa**. I used Firecrawl’s docs as the deciding source because its product surface most directly matches this repo’s existing fetch-provider abstraction and the requirement for rendered, clean, LLM-ready content with minimal boilerplate. **Provider Choice** I’d choose **Firecrawl** as the single managed provider, using `/scrape` for one URL and `/batch/scrape` for Linkcase-scale jobs. Why: this repo already has the right abstraction for it. `packages/polywise/src/fetch/index.ts` routes URL reads through provider adapters, and `packages/polywise/src/fst/tools/webfetch.ts` plus `packages/polywise/src/fst/tools/linkcase.ts` already expect “URL in, clean Markdown out.” Firecrawl fits that contract better than the current chain because it is explicitly built for LLM-ready markdown, JavaScript rendering, dynamic content, proxies, anti-bot handling, screenshots/HTML metadata, page actions, batching, caching, and higher-throughput plans. Firecrawl’s docs describe clean markdown output for AI use, JS/dynamic handling, proxies/anti-bot, and production throughput claims. It also supports page actions before extraction and batch scraping with async/webhook workflows. Sources: Firecrawl intro and scrape docs: ([docs.firecrawl.dev](https://docs.firecrawl.dev/introduction)) ([firecrawl.mintlify.app](https://firecrawl.mintlify.app/features/scrape)) ([docs.firecrawl.dev](https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape)) Provider mentions: browserbase

result75. Selected unknown

**Provider Choice** I’d choose **Firecrawl** as the single managed provider, using `/scrape` for one URL and `/batch/scrape` for Linkcase-scale jobs. Why: this repo already has the right abstraction for it. `packages/polywise/src/fetch/index.ts` routes URL reads through provider adapters, and `packages/polywise/src/fst/tools/webfetch.ts` plus `packages/polywise/src/fst/tools/linkcase.ts` already expect “URL in, clean Markdown out.” Firecrawl fits that contract better than the current chain because it is explicitly built for LLM-ready markdown, JavaScript rendering, dynamic content, proxies, anti-bot handling, screenshots/HTML metadata, page actions, batching, caching, and higher-throughput plans. Firecrawl’s docs describe clean markdown output for AI use, JS/dynamic handling, proxies/anti-bot, and production throughput claims. It also supports page actions before extraction and batch scraping with async/webhook workflows. Sources: Firecrawl intro and scrape docs: ([docs.firecrawl.dev](https://docs.firecrawl.dev/introduction)) ([firecrawl.mintlify.app](https://firecrawl.mintlify.app/features/scrape)) ([docs.firecrawl.dev](https://docs.firecrawl.dev/api-reference/v2-endpoint/scrape)); batch/rate-limit/enhanced proxy docs: ([firecrawl.mintlify.app](https://firecrawl.mintlify.app/features/scrape)) ([firecrawl.mintlify.app](https://firecrawl.mintlify.app/rate-limits)) ([docs.firecra Provider mentions: browserbase

Commands

/bin/bash -lc "sed -n '1,220p' .agents/skills/polywise-agent-rules/SKILL.md"exit 0

/bin/bash -lc "sed -n '1,220p' .agent/rules/global.md"exit 0

/bin/bash -lc "date '+%Y-%m-%d %H:%M:%S %z'"exit 0

/bin/bash -lc lsexit 0

/bin/bash -lc "rg --files -g 'agentmap.md' -g 'unify.md' -g 'package.json' -g '"'!**/__*'"'"exit 127

/bin/bash -lc "find . -path './.git' -prune -o -name '__*' -prune -o \$ -name agentmap.md -o -name unify.md -o -name package.json \$ -print"exit 0

/bin/bash -lc "sed -n '1,220p' packages/polywise/agentmap.md"exit 0

/bin/bash -lc "sed -n '1,220p' packages/polywise/package.json"exit 0

/bin/bash -lc "find packages/polywise/src/fetch -path '*/__*' -prune -o -type f -maxdepth 4 -print"exit 0

/bin/bash -lc "find packages/polywise/src/fst/tools -path '*/__*' -prune -o -type f -maxdepth 4 -print"exit 0

/bin/bash -lc "sed -n '1,180p' packages/polywise/src/types/config.ts"exit 0

/bin/bash -lc "sed -n '1,120p' packages/polywise/src/consts/prompts/getLinkcaseSystemPrompt.ts && sed -n '1,220p' packages/polywise/src/consts/prompts/fst_linkcase_system_prompt.md"exit 0

/bin/bash -lc "sed -n '1,220p' packages/polywise/src/fetch/types.ts"exit 0

/bin/bash -lc "sed -n '1,240p' packages/polywise/src/fetch/index.ts"exit 0

/bin/bash -lc "sed -n '1,240p' packages/polywise/src/fst/tools/webfetch.ts"exit 0

/bin/bash -lc "sed -n '1,260p' packages/polywise/src/fst/tools/linkcase.ts"exit 0

/bin/bash -lc "sed -n '260,620p' packages/polywise/src/fst/tools/linkcase.ts"exit 0

/bin/bash -lc "sed -n '620,980p' packages/polywise/src/fst/tools/linkcase.ts && grep -R \"previewLinkcaseLinkWithProvider\\|fetchLinkcaseLink\\|commitLinkcasePreview\\|readLinkcasePreview\" -n packages/polywise/src/rpc packages/polywise/src/fetch packages/polywise/src/fst | head -80"exit 0

/bin/bash -lc "sed -n '700,920p' packages/polywise/src/rpc/linkcase/utils.ts"exit 0

/bin/bash -lc "sed -n '1,220p' packages/polywise/src/fetch/agentBrowser.ts"exit 0

/bin/bash -lc "sed -n '1,220p' packages/polywise/src/fetch/crawl4ai.ts"exit 0

/bin/bash -lc "sed -n '1,200p' packages/polywise/src/fetch/rjina.ts"exit 0

/bin/bash -lc "sed -n '1,200p' packages/polywise/src/fetch/opencli.ts"exit 0

/bin/bash -lc "sed -n '1,200p' packages/polywise/src/fetch/dokobot.ts"exit 0

Runs

Find

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Prompt & Agent Log

Runs

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Sandbox Execution

Prompt & Agent Log