W2: async job infra + researcher sub-agent
- src/store/jobs.ts: per-job JSON store in data/jobs (create/get/update/list, dedup by toolCallId) - src/agent/tools/jobs.ts: research tool — client-side (no execute), turn ends at the call; input per contracts ResearchToolInput - src/agent/tools/web.ts: server-side web_search (Google CSE) + web_fetch (Readability/Turndown/linkedom, Jina fallback) — errors return as strings, never thrown into the agent loop. Deps: @mozilla/readability, linkedom, turndown (+@types/turndown dev) - src/agent/subagents/researcher.ts: isolated ToolLoopAgent (web tools only, 12-step cap), researcher prompt ported from pi - src/agent/subagents/runner.ts: spawnPendingJobs hook + runResearchJob — fire-and-forget, activity line per tool call, fulfills the part in the LATEST chat record (output-available) before flipping job status; failure still fulfills the part so the teacher learns the outcome - src/server/chat-handler.ts: onFinish spawn hook after saveMessages - app/api/jobs/route.ts: GET ?chatId= polling endpoint - components/artifacts/job-card.tsx + registry entry: polling activity card (2s) → syncFromServer on finish; research-brief card (markdown + sources) - src/agent/prompts/20-jobs.md: research doctrine for the teacher - tests/jobs.test.ts: store CRUD, spawn hook via scripted mock teacher, runner completion/failure with fake model + stubbed fetch
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@@ -1,13 +1,46 @@
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import type { ToolSet } from "ai";
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import { tool, type ToolSet } from "ai";
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import { z } from "zod";
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import type { TeacherToolContext } from "../tools.ts";
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/**
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* Async sub-agent job tools — W2 workstream (research; W6 adds demo + visual).
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* CLIENT-SIDE semantics (no execute): the turn ends with the part pending, a
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* background runner fulfills it, and the client continuation resumes the
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* teacher. See src/core/contracts.ts "THE ASYNC PROTOCOL" — read it first.
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* Async sub-agent job tools (W2: research; W6 adds demo + visual).
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* CLIENT-SIDE semantics (no execute) — exactly like quiz/ask: the tool call
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* streams to the browser in `input-available` state and the server turn ends
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* there. chat-handler's onFinish spawns a background runner that fulfills
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* the part server-side; the client polls /api/jobs and the continuation
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* resumes the teacher with the result as a normal tool output.
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* See src/core/contracts.ts "THE ASYNC PROTOCOL".
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*/
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export const researchInputSchema = z.object({
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question: z
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.string()
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.describe("The single research question to answer. Make it specific — the researcher sees nothing else of the lesson."),
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context: z
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.string()
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.optional()
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.describe("Why you need this / what the lesson needs it for — focuses the brief. One or two sentences."),
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});
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export const researchTool = tool({
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description:
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"Dispatch a background web-research agent: fact verification, current data, or niche specifics you are not certain about. " +
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"The call is ASYNC — your turn ENDS here, so say everything you want to say first; the research brief arrives later as " +
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"this tool's output and the lesson resumes from it. Cite the brief's sources when you use them. " +
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"NEVER use it for things you know cold, internal reasoning, or math.",
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inputSchema: researchInputSchema,
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});
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/**
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* Per-request job tool registry. Context-free for now (the runner resolves
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* everything from the chat record by toolCallId) — the ctx parameter keeps
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* the createTeacherTools factory shape stable for W6's demo/visual tools.
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*/
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// eslint-disable-next-line @typescript-eslint/no-unused-vars
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export function jobTools(ctx: TeacherToolContext): ToolSet {
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return {};
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return {
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research: researchTool,
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};
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}
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export type ResearchInput = z.infer<typeof researchInputSchema>;
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@@ -0,0 +1,185 @@
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import { tool } from "ai";
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import { z } from "zod";
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import { Readability } from "@mozilla/readability";
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import { parseHTML } from "linkedom";
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import TurndownService from "turndown";
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/**
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* Server-side web tools for the researcher sub-agent — a minimal port of the
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* pi extensions (~/.pi/agent/extensions/web-search + web-fetch):
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*
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* web_search(query, count?) → {title, url, snippet}[] (Google Custom Search)
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* web_fetch(url) → readable markdown text (Readability + Turndown,
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* Jina Reader fallback for
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* JS-rendered pages)
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*
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* Credentials come from env (the pi extension used auth.json):
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* GOOGLE_SEARCH_API_KEY, GOOGLE_CSE_ID
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*
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* Tool contract: NEVER throw into the agent loop — missing credentials and
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* every failure path return a clear error STRING as the tool output, so the
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* researcher can adapt (or report) instead of crashing.
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*/
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// ── web_search ───────────────────────────────────────────────────────────────
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export interface WebSearchResult {
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title: string;
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url: string;
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snippet: string;
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}
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function searchCredentials(): { apiKey: string; cseId: string } | null {
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const apiKey = process.env.GOOGLE_SEARCH_API_KEY;
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const cseId = process.env.GOOGLE_CSE_ID;
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return apiKey && cseId ? { apiKey, cseId } : null;
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}
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async function googleSearch(query: string, count: number, creds: { apiKey: string; cseId: string }): Promise<WebSearchResult[]> {
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const url = new URL("https://www.googleapis.com/customsearch/v1");
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url.searchParams.set("key", creds.apiKey);
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url.searchParams.set("cx", creds.cseId);
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url.searchParams.set("q", query);
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url.searchParams.set("num", String(Math.min(count, 10)));
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const resp = await fetch(url, { signal: AbortSignal.timeout(30_000) });
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if (!resp.ok) {
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const body = await resp.text();
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throw new Error(`Google Custom Search API ${resp.status}: ${body.slice(0, 200)}`);
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}
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const data = (await resp.json()) as { items?: Array<{ title: string; link: string; snippet?: string }> };
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return (data.items ?? []).map((item) => ({
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title: item.title,
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url: item.link,
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snippet: item.snippet?.replace(/\n/g, " ") ?? "",
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}));
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}
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// ── web_fetch ────────────────────────────────────────────────────────────────
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const USER_AGENT =
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"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36";
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const FETCH_TIMEOUT_MS = 30_000;
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const MAX_RESPONSE_BYTES = 5 * 1024 * 1024;
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/** Keep the researcher's context sane — long pages truncate with a marker. */
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const MAX_CONTENT_CHARS = 40_000;
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const MIN_USEFUL_CONTENT = 200;
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const turndown = new TurndownService({ headingStyle: "atx", codeBlockStyle: "fenced" });
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function truncate(text: string): string {
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if (text.length <= MAX_CONTENT_CHARS) return text;
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return `${text.slice(0, MAX_CONTENT_CHARS)}\n\n[Truncated at ${MAX_CONTENT_CHARS} characters]`;
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}
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/** Jina Reader fallback for JS-rendered pages (no deps — plain fetch). */
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async function fetchViaJina(url: string): Promise<string | null> {
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try {
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const res = await fetch(`https://r.jina.ai/${url}`, {
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headers: { Accept: "text/markdown", "X-No-Cache": "true" },
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signal: AbortSignal.timeout(FETCH_TIMEOUT_MS),
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});
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if (!res.ok) return null;
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const content = await res.text();
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const marker = "Markdown Content:";
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const start = content.indexOf(marker);
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if (start < 0) return null;
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const markdown = content.slice(start + marker.length).trim();
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if (markdown.length < MIN_USEFUL_CONTENT || markdown.startsWith("Loading...")) return null;
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return markdown;
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} catch {
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return null;
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}
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}
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function htmlToMarkdown(html: string): { title: string; content: string } | null {
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const { document } = parseHTML(html);
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const article = new Readability(document as unknown as Document).parse();
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if (!article?.content) return null;
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const markdown = turndown.turndown(article.content);
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if (markdown.trim().length < MIN_USEFUL_CONTENT) return null;
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return { title: article.title ?? "", content: markdown };
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}
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async function fetchAndExtract(url: string): Promise<string> {
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const resp = await fetch(url, {
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headers: {
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"User-Agent": USER_AGENT,
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Accept: "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
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"Accept-Language": "en-US,en;q=0.9",
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},
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signal: AbortSignal.timeout(FETCH_TIMEOUT_MS),
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});
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if (!resp.ok) throw new Error(`HTTP ${resp.status} ${resp.statusText}`);
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const contentType = resp.headers.get("content-type") ?? "";
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if (contentType.includes("application/pdf")) throw new Error("PDF documents are not supported");
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if (/image\/|audio\/|video\/|zip|octet-stream/.test(contentType)) {
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throw new Error(`Unsupported content type: ${contentType.split(";")[0]}`);
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}
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const length = Number(resp.headers.get("content-length") ?? 0);
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if (length > MAX_RESPONSE_BYTES) throw new Error("Response too large");
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const text = await resp.text();
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if (!contentType.includes("html")) return truncate(text); // plain text / markdown / code
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const extracted = htmlToMarkdown(text);
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if (extracted) {
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const header = extracted.title ? `# ${extracted.title}\n\nSource: ${url}\n\n---\n\n` : "";
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return header + truncate(extracted.content);
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}
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// Readability failed — likely JS-rendered. Try Jina Reader.
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const jina = await fetchViaJina(url);
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if (jina) return truncate(jina);
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throw new Error("Could not extract readable content (the page may be JavaScript-rendered)");
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}
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// ── tool registry ────────────────────────────────────────────────────────────
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export const webTools = {
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web_search: tool({
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description:
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"Search the web via Google Custom Search. One search per call — use one call per search angle. " +
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"Returns an array of results with title, url, and snippet.",
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inputSchema: z.object({
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query: z.string().describe("The search query (a normal search string, phrases included)"),
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count: z.number().int().min(1).max(10).optional().describe("Number of results (default 5, max 10)"),
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}),
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execute: async ({ query, count }): Promise<WebSearchResult[] | string> => {
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const creds = searchCredentials();
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if (!creds) {
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return (
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"web_search is not configured on this server: GOOGLE_SEARCH_API_KEY and/or GOOGLE_CSE_ID " +
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"are missing. Report in your brief that web search is unavailable."
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);
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}
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try {
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return await googleSearch(query, count ?? 5, creds);
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} catch (err) {
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return `web_search failed: ${err instanceof Error ? err.message : String(err)}`;
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}
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},
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}),
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web_fetch: tool({
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description:
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"Fetch a web page and extract its readable content as markdown (Readability). " +
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"Handles HTML pages and plain text; JS-rendered pages fall back to a reader service.",
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inputSchema: z.object({
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url: z.string().describe("The URL to fetch"),
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}),
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execute: async ({ url }): Promise<string> => {
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try {
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const parsed = new URL(url);
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if (parsed.protocol !== "http:" && parsed.protocol !== "https:") throw new Error("Only http(s) URLs are supported");
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} catch {
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return `web_fetch failed: invalid URL "${url}"`;
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}
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try {
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return await fetchAndExtract(url);
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} catch (err) {
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return `web_fetch failed for ${url}: ${err instanceof Error ? err.message : String(err)}`;
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}
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},
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}),
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};
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