chore: sync API routes, dashboard hot-topics, MCP server, scraper package, scripts

- backfill-images.ts: rename main() → export backfillImages() to match index.ts import
- training-data-writer.ts: add writeRobotExperience export; remove hardcoded Gitea token
- fiber24.ts/fibermall.ts: scraper improvements from previous sessions
- image-downloader.ts/spec-updater.ts: utility updates
- robots/: add verification robots module

CHANGELOG_PENDING.md

@@ -281,3 +281,4 @@ Types: FEAT · FIX · UI · DATA · AI · INFRA
 {"d":"2026-04-26","t":"FEAT","m":"tip-llm-guided.ts: Structured inference engine for tip-llm-v1. Hard JSON schema, per-field validation, 2-retry repair loop with diff prompt, safe default fallback (create_finding=false). Temperature 0.1→0.05 on retry. Routes: POST /api/tip-llm/infer|research-plan|extract|finding, GET /api/tip-llm/health."}
 {"d":"2026-04-28","t":"FIX","m":"Product verification pipeline: image crawls now mark image_verified/image_verified_url, scraped product pages mark details_verified/details_source_url, maintenance reconcile backfills old product URLs/images/details, and --backfill-images exposes the existing image crawler via scraper CLI. Migration 102 reconciles existing data."}
 {"d":"2026-04-28","t":"FIX","m":"Blog Engine Hot Topics: diversified ranking with refresh shuffle/source caps/already-created-topic demotion, plus richer LLM context briefings passed into topic expansion and master-draft context via custom_title/additional_context."}
+{"d":"2026-04-29","t":"FEAT","m":"TIPLLM robot learning loop: verification robot controller writes status, TIPLLM plans, queue dry-runs/enqueues and crawler outcomes into the Gitea-backed TIP training pool; learning-pool build imports qa-pairs from TIP_TRAINING_REPO into the tip_llm lane. Removed hardcoded Gitea token fallback; existing git remotes or env tokens are used."}

docs/TIP_SELFLEARNING_WORKFLOW.md

@@ -31,3 +31,28 @@ Default private Hugging Face datasets:
 - `renefichtmueller/blog-llm-sft`
 
 Local training is enabled by setting `TIP_LOCAL_TRAIN_COMMAND`; the API appends the lane name automatically.
+
+## TIPLLM Robot Experience Pool
+
+Crawler and verification robots must use TIPLLM only for planning/extraction feedback. Operational experience is written to the Gitea-backed TIP training pool:
+
+- Default local clone: `/tmp/tip-training-data`
+- Override: `TIP_TRAINING_REPO=/path/to/tip-training-data`
+- Gitea repo: `rene/tip-training-data`
+- SFT records: `qa-pairs/robot-control-high.jsonl`
+- Raw audit records: `robot-experiences/YYYY-MM-DD.jsonl`
+
+Useful commands:
+
+```bash
+npm run robots:verification -w packages/scraper -- --status
+npm run robots:verification -w packages/scraper -- --tipllm-plan --limit=5
+npm run robots:verification -w packages/scraper -- --enqueue=details-fast-lane --profile=erik-safe --dry-run
+```
+
+Safety defaults:
+
+- `erik-safe` is the default profile and caps to 3 lightweight queues.
+- Playwright/discovery work belongs on Proxmox or Pi workers, not Erik.
+- Every status snapshot, TIPLLM plan, dry-run plan, enqueue result and crawler result should become a TIPLLM training example.
+- `learning-pool:build` automatically imports Gitea pool SFT rows from `qa-pairs/` into the `tip_llm` lane.

packages/api/src/routes/hot-topics.ts

@@ -25,6 +25,10 @@ interface HotTopic {
   data_context?: Record<string, unknown>;
   suggested_angle?: string;
   date?: string;
+  blog_title_created?: boolean;
+  last_blog_created_at?: string;
+  rank_score?: number;
+  llm_context?: string;
 }
 
 /**
@@ -32,10 +36,11 @@ interface HotTopic {
  *
  * Returns dynamically ranked blog topics based on real signals.
  */
-hotTopicsRouter.get("/", async (_req, res) => {
+hotTopicsRouter.get("/", async (req, res) => {
   try {
     const topics: HotTopic[] = [];
     const year = new Date().getFullYear();
+    const limit = Math.max(1, Math.min(50, parseInt(String(req.query.limit || "20"), 10) || 20));
 
     // ═══ SOURCE 1: Internal Data — Price Movements ═══
     const priceDrops = await pool.query(`
@@ -246,9 +251,33 @@ hotTopicsRouter.get("/", async (_req, res) => {
     // ═══ SOURCE 7: Evergreen High-Value Topics ═══
     topics.push(...getEvergreenTopics(year));
 
-    // Sort by urgency: breaking > hot > trending > emerging
+    // Mark already-created topics and rank with daily rotation + source diversity.
-    const urgencyOrder: Record<string, number> = { breaking: 0, hot: 1, trending: 2, emerging: 3 };
+    const recentDrafts = await pool.query(`
-    topics.sort((a, b) => (urgencyOrder[a.urgency] ?? 4) - (urgencyOrder[b.urgency] ?? 4));
+      SELECT title, created_at
+      FROM blog_drafts
+      WHERE created_at > NOW() - INTERVAL '180 days'
+      ORDER BY created_at DESC
+    `).catch(() => ({ rows: [] }));
+
+    const createdByTitle = new Map<string, string>();
+    for (const draft of recentDrafts.rows) {
+      const key = normalizeTopicTitle(String(draft.title || ""));
+      if (key && !createdByTitle.has(key)) {
+        createdByTitle.set(key, draft.created_at ? new Date(draft.created_at).toISOString() : new Date().toISOString());
+      }
+    }
+
+    const daySeed = getDaySeed();
+    const rotationSeed = daySeed + getQuerySeed(req.query.shuffle);
+    for (const topic of topics) {
+      const createdAt = createdByTitle.get(normalizeTopicTitle(topic.title));
+      topic.blog_title_created = Boolean(createdAt);
+      topic.last_blog_created_at = createdAt;
+      topic.rank_score = scoreTopic(topic, rotationSeed);
+      topic.llm_context = buildTopicBriefing(topic);
+    }
+
+    const rankedTopics = selectDiverseTopics(topics, limit);
 
     // Next daily rotation: tomorrow 00:00 UTC
     const tomorrow = new Date();
@@ -256,11 +285,12 @@ hotTopicsRouter.get("/", async (_req, res) => {
     tomorrow.setUTCHours(0, 0, 0, 0);
 
     res.json({
-      topics: topics.slice(0, 20),
+      topics: rankedTopics,
       total: topics.length,
       generated_at: new Date().toISOString(),
       refreshes_at: tomorrow.toISOString(),
-      day_seed: getDaySeed(),
+      day_seed: daySeed,
+      rotation_seed: rotationSeed,
       sources: ["market_intelligence", "nog_talks", "internal_price_data", "competitor_alerts", "hype_cycle_model", "news_articles", "conference_calendar", "research_papers"],
     });
   } catch (err) {
@@ -269,6 +299,131 @@ hotTopicsRouter.get("/", async (_req, res) => {
   }
 });
 
+function normalizeTopicTitle(title: string): string {
+  return title
+    .toLowerCase()
+    .replace(/\b20\d{2}\b/g, "{year}")
+    .replace(/[^a-z0-9]+/g, " ")
+    .replace(/\s+/g, " ")
+    .trim();
+}
+
+function seededTopicJitter(title: string, seed: number): number {
+  let s = seed;
+  const normalized = normalizeTopicTitle(title);
+  for (let i = 0; i < normalized.length; i++) {
+    s = (s * 1664525 + normalized.charCodeAt(i) + 1013904223) & 0x7fffffff;
+  }
+  return s % 140;
+}
+
+function getQuerySeed(value: unknown): number {
+  if (!value) return 0;
+  const raw = Array.isArray(value) ? String(value[0] || "") : String(value);
+  if (!raw) return 0;
+  let hash = 0;
+  for (let i = 0; i < raw.length; i++) {
+    hash = ((hash << 5) - hash + raw.charCodeAt(i)) | 0;
+  }
+  return Math.abs(hash % 100000);
+}
+
+function compactDataContext(data: Record<string, unknown> | undefined): string {
+  if (!data) return "";
+
+  const replacer = (_key: string, value: unknown) => {
+    if (Array.isArray(value)) return value.slice(0, 5);
+    if (typeof value === "string" && value.length > 260) return `${value.slice(0, 257)}...`;
+    return value;
+  };
+
+  return JSON.stringify(data, replacer, 2).slice(0, 1800);
+}
+
+function buildTopicBriefing(topic: HotTopic): string {
+  const lines = [
+    `Topic: ${topic.title}`,
+    `Urgency: ${topic.urgency}`,
+    `Source: ${topic.source_type} / ${topic.source}`,
+  ];
+
+  if (topic.date) lines.push(`Signal date: ${topic.date}`);
+  if (topic.description) lines.push(`Signal summary: ${topic.description}`);
+  if (topic.suggested_angle) lines.push(`Recommended angle: ${topic.suggested_angle}`);
+  if (topic.blog_title_created && topic.last_blog_created_at) {
+    lines.push(`Editorial note: A blog with a very similar title already exists from ${topic.last_blog_created_at}. If used anyway, choose a materially different angle.`);
+  }
+
+  const dataContext = compactDataContext(topic.data_context);
+  if (dataContext) lines.push(`Structured supporting data:\n${dataContext}`);
+
+  lines.push("Editorial instruction: turn this into a practical optical networking article with procurement/engineering consequences, not a generic news summary.");
+  return lines.join("\n");
+}
+
+function scoreTopic(topic: HotTopic, seed: number): number {
+  const urgencyScore: Record<HotTopic["urgency"], number> = {
+    breaking: 900,
+    hot: 760,
+    trending: 620,
+    emerging: 500,
+  };
+  const sourceScore: Record<HotTopic["source_type"], number> = {
+    internal_data: 90,
+    competitor: 85,
+    trade_press: 75,
+    conference: 70,
+    manufacturer: 65,
+    research: 60,
+  };
+
+  let freshness = 0;
+  if (topic.date) {
+    const ageDays = Math.max(0, (Date.now() - new Date(topic.date).getTime()) / 86400000);
+    freshness = Math.max(0, 90 - ageDays * 4);
+  }
+
+  const createdPenalty = topic.blog_title_created ? -950 : 0;
+  return (
+    (urgencyScore[topic.urgency] ?? 400) +
+    (sourceScore[topic.source_type] ?? 40) +
+    freshness +
+    seededTopicJitter(topic.title, seed) +
+    createdPenalty
+  );
+}
+
+function selectDiverseTopics(topics: HotTopic[], limit: number): HotTopic[] {
+  const sorted = [...topics].sort((a, b) => (b.rank_score ?? 0) - (a.rank_score ?? 0));
+  const selected: HotTopic[] = [];
+  const sourceTypeCount = new Map<string, number>();
+  const sourceCount = new Map<string, number>();
+
+  for (const topic of sorted) {
+    if (selected.length >= limit) break;
+    const sourceType = topic.source_type;
+    const source = topic.source || "unknown";
+    const typeCount = sourceTypeCount.get(sourceType) ?? 0;
+    const srcCount = sourceCount.get(source) ?? 0;
+
+    if (typeCount >= 5) continue;
+    if (srcCount >= 3) continue;
+
+    selected.push(topic);
+    sourceTypeCount.set(sourceType, typeCount + 1);
+    sourceCount.set(source, srcCount + 1);
+  }
+
+  if (selected.length < limit) {
+    for (const topic of sorted) {
+      if (selected.length >= limit) break;
+      if (!selected.includes(topic)) selected.push(topic);
+    }
+  }
+
+  return selected;
+}
+
 function detectNewsTheme(title: string): string {
   const tl = title.toLowerCase();
   if (tl.includes("800g") || tl.includes("osfp")) return "800G Deployment Wave";

packages/dashboard/hot-topics.js

@@ -37,7 +37,7 @@
         '<div style="background:linear-gradient(135deg,#1a1a1a,#2a2a2a);color:white;padding:2rem;border-radius:12px;text-align:center;margin-bottom:1rem">' +
         '<div style="font-size:1.4rem;font-weight:700;margin-bottom:1rem">Generating Blog with AI...</div>' +
         '<div id="bp-status" style="font-size:1rem;color:#FF8100;margin-bottom:0.5rem">Starting 10-step Flexoptix Style pipeline...</div>' +
-        '<div id="bp-step" style="font-size:0.85rem;color:#aaa">Connecting to LLM (qwen2.5:14b)</div>' +
+        '<div id="bp-step" style="font-size:0.85rem;color:#aaa">Connecting to FO_BlogLLM (fo-blog-v7)</div>' +
         '<div style="margin-top:1.5rem;background:#333;border-radius:8px;height:8px;overflow:hidden">' +
         '<div id="bp-bar" style="width:2%;height:100%;background:#FF8100;transition:width 0.5s ease"></div></div>' +
         '<div id="bp-pct" style="font-size:0.8rem;color:#666;margin-top:0.5rem">0%</div>' +
@@ -46,8 +46,8 @@
 
     var body = { topic: topic };
     if (speed) body.speed = speed;
-    if (customTitle) body.customTitle = customTitle;
+    if (customTitle) body.custom_title = customTitle;
-    if (customAngle) body.customAngle = customAngle;
+    if (customAngle) body.additional_context = customAngle;
 
     fetch(API + '/api/blog/generate', {
       method: 'POST',
@@ -137,7 +137,7 @@
             if (bar) bar.style.width = prog.pct + '%';
             if (pct) pct.textContent = prog.pct + '%';
             if (status) { status.style.color = '#FF8100'; status.textContent = prog.label || ('Step ' + prog.step + '/10'); }
-            if (step) step.textContent = 'Step ' + prog.step + '/10 · qwen2.5:14b via Ollama';
+            if (step) step.textContent = 'Step ' + prog.step + '/10 · fo-blog-v7 via adapter bridge';
           } else {
             _stallCount++;
             // After 5 consecutive non-running polls (~40s), show stall warning
@@ -185,7 +185,8 @@
     if (!grid) return;
     grid.innerHTML = '<div class="loading pulse">Discovering hot topics...</div>';
 
-    fetch(API + '/api/hot-topics', { headers: authHeaders() })
+    var shuffle = Date.now().toString(36);
+    fetch(API + '/api/hot-topics?limit=20&shuffle=' + encodeURIComponent(shuffle), { headers: authHeaders({ 'Cache-Control': 'no-cache' }) })
       .then(function(r) { return r.json(); })
       .then(function(data) {
         if (!data.topics || data.topics.length === 0) {
@@ -196,7 +197,7 @@
         if (subtitle && data.refreshes_at) {
           var nextRefresh = new Date(data.refreshes_at);
           var hoursLeft = Math.round((nextRefresh - new Date()) / 3600000);
-          subtitle.textContent = data.total + ' topics · rotates daily · next refresh in ' + hoursLeft + 'h · sources: ' + (data.sources || []).join(', ');
+          subtitle.textContent = data.total + ' topics · refresh reshuffles · daily base rotation in ' + hoursLeft + 'h · sources: ' + (data.sources || []).join(', ');
         }
 
         var colors = { breaking: '#c1121f', hot: '#FF8100', trending: '#e6a800', emerging: '#2d6a4f' };
@@ -227,7 +228,7 @@
   window._generateFromHotTopic = function(cardId) {
     var t = window['_ht_' + cardId];
     if (!t) return;
-    generateBlog(t.blog_type || 'hype_cycle', null, t.title, t.suggested_angle || t.description);
+    generateBlog(t.blog_type || 'hype_cycle', null, t.title, t.llm_context || t.suggested_angle || t.description);
   };
 
   // Auto-load hot topics when blog tab activates

packages/mcp-server/src/index.ts

@@ -371,12 +371,15 @@ async function main() {
     );
   }
 
-  // --- Ollama LLM tools: market analysis (qwen2.5:14b) + blog generation (fo-blog-v5) ---
+  // --- Ollama-compatible LLM tools: market analysis (TIP_LLM) + blog generation (FO_BlogLLM) ---
   const OLLAMA_BASE = process.env["OLLAMA_BASE_URL"] ?? "https://ollama.fichtmueller.org";
+  const TIP_LLM_MODEL = process.env["TIP_LLM_MODEL"] ?? "tip-llm-v1";
+  const BLOG_LLM_MODEL = process.env["BLOG_LLM_MODEL"] ?? "fo-blog-v7";
+  const BLOG_LLM_FALLBACK = process.env["BLOG_LLM_FALLBACK_MODEL"] ?? "qwen2.5:14b";
 
   server.tool(
     "analyze_market_with_llm",
-    "Deep market analysis for a transceiver technology using local LLM (qwen2.5:14b). Provides expert narrative on adoption trends, pricing trajectory, competitive dynamics, and buy/wait/hold recommendation.",
+    "Deep market analysis for a transceiver technology using TIP_LLM. Provides expert narrative on adoption trends, pricing trajectory, competitive dynamics, and buy/wait/hold recommendation.",
     {
       technology: z.string().describe("Technology to analyze, e.g. '400G QSFP-DD', '800G OSFP', '100G ZR'"),
       context: z.string().optional().describe("Additional context or specific questions to address"),
@@ -435,7 +438,7 @@ Keep the analysis actionable and data-driven. Under 400 words.`;
         const resp = await fetch(`${OLLAMA_BASE}/api/generate`, {
           method: "POST",
           headers: { "Content-Type": "application/json" },
-          body: JSON.stringify({ model: "qwen2.5:14b", prompt, stream: false }),
+          body: JSON.stringify({ model: TIP_LLM_MODEL, prompt, stream: false }),
           signal: AbortSignal.timeout(120_000),
         });
         if (!resp.ok) throw new Error(`Ollama HTTP ${resp.status}`);
@@ -449,7 +452,7 @@ Keep the analysis actionable and data-driven. Under 400 words.`;
 
   server.tool(
     "generate_blog_post",
-    "Generate a professional Flexoptix blog post using the fine-tuned fo-blog-v5 model (Ollama). Automatically enriched with live pricing, hype cycle data, and competitor analysis.",
+    "Generate a professional Flexoptix blog post using the latest FO_BlogLLM model. Automatically enriched with live pricing, hype cycle data, and competitor analysis.",
     {
       topic: z.string().describe("Blog topic, e.g. '400G QSFP-DD vs 400G ZR — which for your DC?'"),
       target_audience: z.enum(["network_engineer", "procurement", "executive", "general"]).default("network_engineer").describe("Target reader"),
@@ -492,7 +495,7 @@ Do not include a title (added separately). Start directly with the article body.
           method: "POST",
           headers: { "Content-Type": "application/json" },
           body: JSON.stringify({
-            model: "fo-blog-v5",
+            model: BLOG_LLM_MODEL,
             messages: [
               { role: "system", content: systemPrompt },
               { role: "user", content: userPrompt },
@@ -502,12 +505,12 @@ Do not include a title (added separately). Start directly with the article body.
           signal: AbortSignal.timeout(180_000),
         });
         if (!resp.ok) {
-          // Fallback to qwen2.5:14b if fo-blog-v5 not available
+          // Fallback to generic local model if FO_BlogLLM is unavailable
           const fallbackResp = await fetch(`${OLLAMA_BASE}/api/chat`, {
             method: "POST",
             headers: { "Content-Type": "application/json" },
             body: JSON.stringify({
-              model: "qwen2.5:14b",
+              model: BLOG_LLM_FALLBACK,
               messages: [
                 { role: "system", content: systemPrompt },
                 { role: "user", content: userPrompt },
@@ -516,9 +519,9 @@ Do not include a title (added separately). Start directly with the article body.
             }),
             signal: AbortSignal.timeout(180_000),
           });
-          if (!fallbackResp.ok) throw new Error(`Both fo-blog-v5 and qwen2.5:14b unavailable`);
+          if (!fallbackResp.ok) throw new Error(`Both ${BLOG_LLM_MODEL} and ${BLOG_LLM_FALLBACK} unavailable`);
           const fallbackData = await fallbackResp.json() as { message?: { content?: string } };
-          return { content: [{ type: "text" as const, text: `[Generated with qwen2.5:14b — fo-blog-v5 unavailable]\n\n${fallbackData.message?.content ?? "No content"}` }] };
+          return { content: [{ type: "text" as const, text: `[Generated with ${BLOG_LLM_FALLBACK} — ${BLOG_LLM_MODEL} unavailable]\n\n${fallbackData.message?.content ?? "No content"}` }] };
         }
         const data = await resp.json() as { message?: { content?: string } };
         return { content: [{ type: "text" as const, text: data.message?.content ?? "No content generated." }] };

packages/scraper/package.json

@@ -11,7 +11,8 @@
     "scrape:cisco": "tsx src/scrapers/cisco-tmg.ts",
     "scrape:optcore": "tsx src/scrapers/optcore.ts",
     "scrape:news": "tsx src/scrapers/news.ts",
-    "scrape:all": "tsx src/index.ts --all"
+    "scrape:all": "tsx src/index.ts --all",
+    "robots:verification": "tsx src/robots/verification-robots.ts"
   },
   "dependencies": {
     "crawlee": "^3.12.0",

packages/scraper/src/crawler-llm/core.ts

@@ -15,7 +15,7 @@ import { VENDOR_PROFILES } from "./stock-schema";
 import { validateStockExtraction } from "./validator";
 
 const OLLAMA_HOST = process.env.OLLAMA_HOST || "http://192.168.178.169:11434";
-const OLLAMA_MODEL = process.env.CRAWLER_LLM_MODEL || "qwen2.5:14b";
+const OLLAMA_MODEL = process.env.CRAWLER_LLM_MODEL || "tip-llm-v1";
 const MAX_HTML_CHARS = 12_000;  // truncate to keep prompt manageable
 
 // ─────────────────────────────────────────────────────────────────────────────

packages/scraper/src/crawler-llm/training-data-writer.ts

@@ -16,7 +16,7 @@
  */
 
 import { execSync } from "child_process";
-import { appendFileSync, mkdirSync, existsSync } from "fs";
+import { appendFileSync, mkdirSync, existsSync, writeFileSync } from "fs";
 import { join } from "path";
 import { createHash } from "crypto";
 
@@ -28,8 +28,9 @@ import type { CombinedValidationResult } from "./spec-validator";
 // ─────────────────────────────────────────────────────────────────────────────
 
 const REPO_DIR = process.env.TIP_TRAINING_REPO || "/tmp/tip-training-data";
-const GITEA_TOKEN = process.env.GITEA_TOKEN || "0e758f30abf86ffb49b2d7bb5b1f0be12c7f0b46";
+const GITEA_TOKEN = process.env.GITEA_TOKEN || "";
-const GITEA_BASE = "http://192.168.178.196:3000";
+const GITEA_BASE = process.env.GITEA_BASE || "http://192.168.178.196:3000";
+const GITEA_REPO = process.env.TIP_TRAINING_GITEA_REPO || "rene/tip-training-data";
 
 // Minimum confidence for a spec to enter the high-quality training set
 const MIN_CONFIDENCE_HIGH = 0.75;
@@ -67,6 +68,20 @@ export interface CrawlExtraction {
   crawled_at: string;          // ISO timestamp
 }
 
+export interface RobotExperience {
+  event: "status" | "tipllm_plan" | "queue_plan" | "queue_enqueued" | "queue_rejected" | "crawler_result";
+  observed_at: string;
+  actor: string;
+  profile?: string;
+  wave?: string;
+  vendor?: string;
+  summary: string;
+  input: Record<string, unknown>;
+  decision: Record<string, unknown>;
+  outcome?: Record<string, unknown>;
+  safety_notes?: string[];
+}
+
 // ─────────────────────────────────────────────────────────────────────────────
 // Helpers
 // ─────────────────────────────────────────────────────────────────────────────
@@ -94,7 +109,39 @@ function ensureDir(dir: string): void {
   if (!existsSync(dir)) mkdirSync(dir, { recursive: true });
 }
 
+function ensureTrainingRepoLayout(): void {
+  ensureDir(REPO_DIR);
+  ensureDir(join(REPO_DIR, "qa-pairs"));
+  ensureDir(join(REPO_DIR, "robot-experiences"));
+  ensureDir(join(REPO_DIR, "crawl-extractions"));
+  ensureDir(join(REPO_DIR, "validated-specs"));
+
+  const readme = join(REPO_DIR, "README.md");
+  if (!existsSync(readme)) {
+    writeFileSync(
+      readme,
+      [
+        "# TIP Training Data Pool",
+        "",
+        "This repository stores TIPLLM learning records produced by TIP crawlers, scrapers and verification robots.",
+        "",
+        "Primary lanes:",
+        "",
+        "- `qa-pairs/`: supervised fine-tuning JSONL records with chat messages.",
+        "- `robot-experiences/`: raw operational experience logs for audit and future dataset builders.",
+        "- `crawl-extractions/`: crawler extraction audit logs.",
+        "- `validated-specs/`: validated structured transceiver specifications.",
+        "",
+        "Only TIPLLM should be used for crawler planning and extraction feedback in this lane.",
+        "",
+      ].join("\n"),
+      "utf8",
+    );
+  }
+}
+
 function appendRecord(filePath: string, record: SftRecord): void {
+  ensureTrainingRepoLayout();
   appendFileSync(filePath, JSON.stringify(record) + "\n", "utf8");
 }
 
@@ -216,6 +263,7 @@ function getOutputFile(type: "spec_qa" | "crawl_reasoning" | "validation" | "dis
 }
 
 function getRawExtractionFile(vendorSlug: string): string {
+  ensureTrainingRepoLayout();
   const dir = join(REPO_DIR, "crawl-extractions", vendorSlug);
   ensureDir(dir);
   const date = new Date().toISOString().split("T")[0];
@@ -223,6 +271,7 @@ function getRawExtractionFile(vendorSlug: string): string {
 }
 
 function getValidatedSpecFile(tier: string): string {
+  ensureTrainingRepoLayout();
   const dir = join(REPO_DIR, "validated-specs");
   ensureDir(dir);
   return join(dir, `${tier}.jsonl`);
@@ -251,12 +300,17 @@ function gitCommit(message: string): void {
 }
 
 function gitPush(): void {
-  const remote = `http://rene:${GITEA_TOKEN}@${GITEA_BASE.replace("http://", "")}/rene/tip-training-data.git`;
+  if (!GITEA_TOKEN) {
+    execSync("git push origin main", { cwd: REPO_DIR, stdio: "pipe" });
+  } else {
+    const remote = `http://rene:${GITEA_TOKEN}@${GITEA_BASE.replace("http://", "")}/${GITEA_REPO}.git`;
     execSync(`git push "${remote}" main`, { cwd: REPO_DIR, stdio: "pipe" });
+  }
 }
 
 export function flushToGitea(label = "batch"): void {
   try {
+    ensureTrainingRepoLayout();
     gitAddAll();
     gitCommit(`crawl: add ${label} training records [${new Date().toISOString()}]`);
     gitPush();
@@ -267,6 +321,67 @@ export function flushToGitea(label = "batch"): void {
   }
 }
 
+function makeRobotPair(experience: RobotExperience): SftRecord {
+  const prompt = [
+    "You are TIPLLM controlling TIP crawler and verification robots.",
+    "Given this current observation, choose the safest next robot action.",
+    "",
+    JSON.stringify({
+      event: experience.event,
+      actor: experience.actor,
+      profile: experience.profile,
+      wave: experience.wave,
+      vendor: experience.vendor,
+      input: experience.input,
+      safety_notes: experience.safety_notes ?? [],
+    }, null, 2),
+  ].join("\n");
+
+  const response = {
+    summary: experience.summary,
+    decision: experience.decision,
+    outcome: experience.outcome ?? null,
+    constraints: [
+      "Use TIPLLM only for planning/extraction feedback.",
+      "Do not start heavy crawler waves on Erik.",
+      "Prefer small, observable queue batches.",
+      "Write useful outcomes back into the TIPLLM training pool.",
+    ],
+  };
+
+  return {
+    id: makeId("robot-exp", JSON.stringify(experience)),
+    source: `robot-experience:${experience.event}:${experience.actor}`,
+    kind: "sft-jsonl",
+    messages: [
+      { role: "system", content: SYSTEM_PROMPT },
+      { role: "user", content: prompt },
+      { role: "assistant", content: JSON.stringify(response, null, 2) },
+    ],
+  };
+}
+
+function getRobotExperienceFile(): string {
+  ensureTrainingRepoLayout();
+  const date = new Date().toISOString().split("T")[0];
+  return join(REPO_DIR, "robot-experiences", `${date}.jsonl`);
+}
+
+/**
+ * Write one operational crawler/robot experience to the TIPLLM training pool.
+ * This produces both a raw audit row and an SFT chat row under qa-pairs.
+ */
+export function writeRobotExperience(experience: RobotExperience, options: { flush?: boolean } = {}): void {
+  ensureTrainingRepoLayout();
+  appendFileSync(getRobotExperienceFile(), JSON.stringify(experience) + "\n", "utf8");
+  appendRecord(join(REPO_DIR, "qa-pairs", "robot-control-high.jsonl"), makeRobotPair(experience));
+  pendingChanges += 2;
+
+  if (options.flush || pendingChanges >= BATCH_COMMIT_THRESHOLD) {
+    flushToGitea(`robot-${experience.event}`);
+  }
+}
+
 // ─────────────────────────────────────────────────────────────────────────────
 // Public API
 // ─────────────────────────────────────────────────────────────────────────────

packages/scraper/src/robots/verification-robots.ts

@@ -0,0 +1,481 @@
+/**
+ * Verification Robot Command Center
+ *
+ * Read-only status:
+ *   tsx src/robots/verification-robots.ts --status
+ *
+ * Enqueue targeted crawler waves:
+ *   tsx src/robots/verification-robots.ts --enqueue=details-fast-lane --profile=erik-safe
+ *   tsx src/robots/verification-robots.ts --enqueue=priority-vendors --profile=pi-fetch
+ *   tsx src/robots/verification-robots.ts --enqueue=all --profile=proxmox-heavy
+ *
+ * Dry run:
+ *   tsx src/robots/verification-robots.ts --enqueue=all --dry-run
+ *
+ * TIPLLM planning, no crawl load:
+ *   tsx src/robots/verification-robots.ts --tipllm-plan --limit=5
+ */
+import { config } from "dotenv";
+import { join } from "path";
+import PgBoss from "pg-boss";
+import { pool } from "../utils/db";
+import { writeRobotExperience } from "../crawler-llm/training-data-writer";
+
+config({ path: join(__dirname, "..", "..", "..", "..", ".env") });
+
+type RobotWave = "details-fast-lane" | "priority-vendors" | "all";
+type RobotProfile = "erik-safe" | "pi-fetch" | "proxmox-heavy";
+
+interface VendorBlockerRow {
+  vendor: string;
+  total: string;
+  missing_image: string;
+  missing_details: string;
+  missing_price: string;
+  near_full_missing_details: string;
+  near_full_missing_image: string;
+  not_fully_verified: string;
+}
+
+interface TipLlmResearchPlanResponse {
+  success?: boolean;
+  data?: {
+    search_patterns?: string[];
+    extraction_fields?: Array<{ field: string; selector_or_pattern: string; example?: string }>;
+    relevance_rules?: string[];
+    confidence?: number;
+    summary?: string;
+  };
+  error?: string;
+}
+
+const connectionString = `postgres://${process.env.POSTGRES_USER || "tip"}:${process.env.POSTGRES_PASSWORD || "tip_dev_2026"}@${process.env.POSTGRES_HOST || "localhost"}:${process.env.POSTGRES_PORT || "5433"}/${process.env.POSTGRES_DB || "transceiver_db"}`;
+const TIP_API_URL = process.env.TIP_API_URL || "http://127.0.0.1:3201";
+const TIP_API_TOKEN = process.env.TIP_API_TOKEN || process.env.TIP_TOKEN || "";
+
+const DETAILS_FAST_LANE_QUEUES = [
+  "scrape:pricing:flexoptix",
+  "scrape:pricing:fibermall",
+  "scrape:pricing:atgbics",
+  "scrape:pricing:fiber24",
+  "scrape:pricing:qsfptek",
+  "scrape:pricing:naddod",
+  "scrape:pricing:gaotek",
+  "maintenance:reconcile-verification",
+];
+
+const VENDOR_QUEUE_MAP: Array<{ match: RegExp; queues: string[] }> = [
+  { match: /juniper/i, queues: ["scrape:catalog:juniper-oem", "scrape:catalog:juniper-mx-oem", "scrape:catalog:juniper-qfx-oem", "scrape:compat:juniper", "discover:vendor:juniper"] },
+  { match: /cisco/i, queues: ["scrape:catalog:cisco-nexus-oem", "scrape:catalog:cisco-catalyst-oem", "scrape:catalog:cisco-asr-oem", "scrape:compat:cisco", "discover:vendor:cisco-tmg"] },
+  { match: /fs\.?com/i, queues: ["scrape:pricing:fs", "discover:vendor:fs-com"] },
+  { match: /gao/i, queues: ["scrape:pricing:gaotek"] },
+  { match: /ascent/i, queues: ["scrape:pricing:ascentoptics"] },
+  { match: /eoptolink/i, queues: ["scrape:catalog:eoptolink"] },
+  { match: /atgbics/i, queues: ["scrape:pricing:atgbics"] },
+  { match: /naddod/i, queues: ["scrape:pricing:naddod"] },
+  { match: /10gtek/i, queues: ["scrape:pricing:10gtek"] },
+  { match: /qsfptek/i, queues: ["scrape:pricing:qsfptek"] },
+  { match: /shopfiber24|fiber24/i, queues: ["scrape:pricing:fiber24"] },
+  { match: /flexoptix/i, queues: ["scrape:pricing:flexoptix", "scrape:vendors:flexoptix-supported"] },
+  { match: /fibermall/i, queues: ["scrape:pricing:fibermall"] },
+  { match: /nokia/i, queues: ["scrape:catalog:nokia-oem", "scrape:catalog:nokia-access-oem", "discover:vendor:nokia"] },
+  { match: /arista/i, queues: ["scrape:catalog:arista-oem", "scrape:catalog:arista-7000-oem", "discover:vendor:arista"] },
+  { match: /ciena/i, queues: ["scrape:catalog:ciena-oem", "scrape:catalog:ciena-waveserver-oem"] },
+];
+
+const HEAVY_QUEUES = new Set([
+  "scrape:pricing:fs",
+  "scrape:pricing:10gtek",
+  "scrape:pricing:prolabs",
+  "scrape:compat:cisco",
+  "scrape:compat:juniper",
+  "scrape:compat:ufispace",
+  "scrape:compat:edgecore",
+]);
+
+const ERIK_SAFE_QUEUES = new Set([
+  "scrape:pricing:flexoptix",
+  "scrape:pricing:fibermall",
+  "scrape:pricing:atgbics",
+  "scrape:pricing:fiber24",
+  "scrape:pricing:qsfptek",
+  "scrape:pricing:naddod",
+  "scrape:pricing:gaotek",
+  "maintenance:reconcile-verification",
+]);
+
+function isDiscoveryQueue(queue: string): boolean {
+  return queue.startsWith("discover:");
+}
+
+function queuesForProfile(queues: string[], profile: RobotProfile): string[] {
+  if (profile === "proxmox-heavy") return queues;
+
+  if (profile === "erik-safe") {
+    return queues.filter((queue) => ERIK_SAFE_QUEUES.has(queue));
+  }
+
+  return queues.filter((queue) => !HEAVY_QUEUES.has(queue) && !isDiscoveryQueue(queue));
+}
+
+function defaultMaxQueues(profile: RobotProfile): number {
+  if (profile === "erik-safe") return 3;
+  if (profile === "pi-fetch") return 10;
+  return 30;
+}
+
+function toInt(value: string | number | null | undefined): number {
+  return Number.parseInt(String(value ?? "0"), 10) || 0;
+}
+
+function unique(items: string[]): string[] {
+  return [...new Set(items)];
+}
+
+async function createBoss(): Promise<PgBoss> {
+  const boss = new PgBoss({
+    connectionString,
+    retryLimit: 1,
+    retryDelay: 30,
+    expireInSeconds: 7200,
+    monitorStateIntervalSeconds: 60,
+  });
+  boss.on("error", (err) => console.error("[verification-robots] pg-boss:", err.message));
+  await boss.start();
+  return boss;
+}
+
+export async function getVerificationStatus(): Promise<{ summary: Record<string, string>; vendors: VendorBlockerRow[] }> {
+  const summaryResult = await pool.query(`
+    SELECT
+      COUNT(*)::text AS total,
+      COUNT(*) FILTER (WHERE NOT price_verified)::text AS missing_price,
+      COUNT(*) FILTER (WHERE NOT image_verified)::text AS missing_image,
+      COUNT(*) FILTER (WHERE NOT details_verified)::text AS missing_details,
+      COUNT(*) FILTER (WHERE price_verified AND image_verified AND NOT details_verified)::text AS near_full_missing_details,
+      COUNT(*) FILTER (WHERE price_verified AND details_verified AND NOT image_verified)::text AS near_full_missing_image,
+      COUNT(*) FILTER (WHERE image_verified AND details_verified AND NOT price_verified)::text AS near_full_missing_price,
+      COUNT(*) FILTER (WHERE NOT fully_verified)::text AS not_fully_verified
+    FROM transceivers
+  `);
+
+  const vendorResult = await pool.query<VendorBlockerRow>(`
+    SELECT
+      COALESCE(v.name, 'unknown') AS vendor,
+      COUNT(*)::text AS total,
+      COUNT(*) FILTER (WHERE NOT t.image_verified)::text AS missing_image,
+      COUNT(*) FILTER (WHERE NOT t.details_verified)::text AS missing_details,
+      COUNT(*) FILTER (WHERE NOT t.price_verified)::text AS missing_price,
+      COUNT(*) FILTER (WHERE t.price_verified AND t.image_verified AND NOT t.details_verified)::text AS near_full_missing_details,
+      COUNT(*) FILTER (WHERE t.price_verified AND t.details_verified AND NOT t.image_verified)::text AS near_full_missing_image,
+      COUNT(*) FILTER (WHERE NOT t.fully_verified)::text AS not_fully_verified
+    FROM transceivers t
+    LEFT JOIN vendors v ON v.id = t.vendor_id
+    GROUP BY v.name
+    HAVING COUNT(*) FILTER (WHERE NOT t.fully_verified) > 0
+    ORDER BY
+      COUNT(*) FILTER (WHERE t.price_verified AND t.image_verified AND NOT t.details_verified) DESC,
+      COUNT(*) FILTER (WHERE NOT t.fully_verified) DESC
+    LIMIT 30
+  `);
+
+  return {
+    summary: summaryResult.rows[0] ?? {},
+    vendors: vendorResult.rows,
+  };
+}
+
+function queuesForPriorityVendors(vendors: VendorBlockerRow[]): string[] {
+  const queues: string[] = [];
+
+  for (const row of vendors.slice(0, 20)) {
+    for (const entry of VENDOR_QUEUE_MAP) {
+      if (entry.match.test(row.vendor)) {
+        queues.push(...entry.queues);
+      }
+    }
+  }
+
+  queues.push("maintenance:reconcile-verification");
+  return unique(queues);
+}
+
+function queuesForWave(wave: RobotWave, vendors: VendorBlockerRow[]): string[] {
+  if (wave === "details-fast-lane") return DETAILS_FAST_LANE_QUEUES;
+  if (wave === "priority-vendors") return queuesForPriorityVendors(vendors);
+  return unique([...DETAILS_FAST_LANE_QUEUES, ...queuesForPriorityVendors(vendors)]);
+}
+
+export async function enqueueRobotWave(
+  wave: RobotWave,
+  options: { dryRun?: boolean; profile?: RobotProfile; maxQueues?: number } = {},
+): Promise<string[]> {
+  const profile = options.profile ?? "erik-safe";
+  const dryRun = options.dryRun ?? false;
+  const status = await getVerificationStatus();
+  const rawQueues = queuesForWave(wave, status.vendors);
+  const maxQueues = options.maxQueues ?? defaultMaxQueues(profile);
+  const queues = queuesForProfile(rawQueues, profile).slice(0, maxQueues);
+  const runId = `verification-${wave}-${new Date().toISOString()}`;
+
+  console.log(`\nRobot wave: ${wave}`);
+  console.log(`Profile: ${profile}`);
+  console.log(`Run ID: ${runId}`);
+  console.log(`Queues: ${queues.length} selected from ${rawQueues.length} candidates`);
+  for (const q of queues) console.log(`  - ${q}`);
+
+  if (queues.length === 0) {
+    writeRobotExperience({
+      event: "queue_rejected",
+      observed_at: new Date().toISOString(),
+      actor: "verification-robots",
+      profile,
+      wave,
+      summary: "Robot queue wave rejected because the selected profile had no safe eligible queues.",
+      input: { wave, profile, raw_queues: rawQueues, max_queues: maxQueues },
+      decision: { selected_queues: [], reason: "profile_filter_removed_all_candidates" },
+      safety_notes: ["No jobs enqueued.", "This protects Erik from accidental heavy crawler work."],
+    }, { flush: true });
+    console.log("\nNo queues selected for this profile.");
+    return queues;
+  }
+
+  if (dryRun) {
+    writeRobotExperience({
+      event: "queue_plan",
+      observed_at: new Date().toISOString(),
+      actor: "verification-robots",
+      profile,
+      wave,
+      summary: "Dry-run queue plan generated for TIPLLM learning without starting crawler jobs.",
+      input: { wave, profile, raw_queues: rawQueues, max_queues: maxQueues },
+      decision: { selected_queues: queues, dry_run: true },
+      safety_notes: ["Dry run only.", "No pg-boss jobs were enqueued."],
+    }, { flush: true });
+    console.log("\nDry run: no jobs enqueued.");
+    return queues;
+  }
+
+  const boss = await createBoss();
+  try {
+    for (const queue of queues) {
+      await boss.createQueue(queue).catch(() => {});
+      await (boss as unknown as { send: (name: string, data?: object, options?: object) => Promise<string | null> }).send(
+        queue,
+        { source: "verification-robots", wave, run_id: runId, enqueued_at: new Date().toISOString() },
+        { retryLimit: 1, expireInSeconds: 7200 },
+      );
+    }
+  } finally {
+    await boss.stop();
+  }
+
+  console.log("\nJobs enqueued.");
+  writeRobotExperience({
+    event: "queue_enqueued",
+    observed_at: new Date().toISOString(),
+    actor: "verification-robots",
+    profile,
+    wave,
+    summary: "Limited verification robot queue wave enqueued.",
+    input: { wave, profile, raw_queues: rawQueues, max_queues: maxQueues },
+    decision: { selected_queues: queues, run_id: runId },
+    outcome: { enqueued_count: queues.length },
+    safety_notes: [
+      profile === "erik-safe" ? "Erik-safe profile excludes Playwright and discovery queues." : "Profile selected explicitly.",
+      "Queue count is capped.",
+    ],
+  }, { flush: true });
+  return queues;
+}
+
+async function fetchTipLlmPlan(vendor: string, product: string, context: string): Promise<TipLlmResearchPlanResponse> {
+  const resp = await fetch(`${TIP_API_URL}/api/tip-llm/research-plan`, {
+    method: "POST",
+    headers: {
+      "Content-Type": "application/json",
+      ...(TIP_API_TOKEN ? { Authorization: `Bearer ${TIP_API_TOKEN}` } : {}),
+    },
+    body: JSON.stringify({ vendor, product, context }),
+    signal: AbortSignal.timeout(45000),
+  });
+
+  const data = await resp.json().catch(() => ({})) as TipLlmResearchPlanResponse;
+  if (!resp.ok) {
+    return { success: false, error: data.error || `HTTP ${resp.status}` };
+  }
+  return data;
+}
+
+export async function planWithTipLlm(limit: number): Promise<void> {
+  const status = await getVerificationStatus();
+  const targets = status.vendors
+    .filter((row) => toInt(row.not_fully_verified) > 0)
+    .slice(0, Math.max(1, Math.min(10, limit)));
+
+  console.log(`\n=== TIPLLM Verification Planning (${targets.length} vendor targets) ===\n`);
+  console.log("No crawler jobs are started in this mode.\n");
+
+  for (const row of targets) {
+    const product = "missing transceiver image/details verification";
+    const context =
+      `TIP verification blocker: vendor=${row.vendor}, ` +
+      `missing_image=${row.missing_image}, missing_details=${row.missing_details}, ` +
+      `missing_price=${row.missing_price}, near_full_missing_details=${row.near_full_missing_details}, ` +
+      `near_full_missing_image=${row.near_full_missing_image}. ` +
+      "Return safe search patterns, extraction fields, and relevance rules for targeted crawler work.";
+
+    console.log(`Vendor: ${row.vendor}`);
+    const plan = await fetchTipLlmPlan(row.vendor, product, context);
+    if (!plan.success || !plan.data) {
+      writeRobotExperience({
+        event: "tipllm_plan",
+        observed_at: new Date().toISOString(),
+        actor: "verification-robots",
+        vendor: row.vendor,
+        summary: "TIPLLM planning failed or returned no usable data.",
+        input: { vendor: row.vendor, product, context },
+        decision: { usable_plan: false, error: plan.error || "unknown error" },
+        safety_notes: ["No crawler jobs started from failed TIPLLM plan."],
+      });
+      console.log(`  TIPLLM plan failed: ${plan.error || "unknown error"}\n`);
+      continue;
+    }
+
+    const patterns = plan.data.search_patterns ?? [];
+    const fields = plan.data.extraction_fields ?? [];
+    const rules = plan.data.relevance_rules ?? [];
+    console.log(`  Summary: ${plan.data.summary || "(none)"}`);
+    console.log(`  Search patterns: ${patterns.slice(0, 4).join(" | ") || "(none)"}`);
+    console.log(`  Extraction fields: ${fields.map((f) => f.field).slice(0, 8).join(", ") || "(none)"}`);
+    console.log(`  Rules: ${rules.slice(0, 3).join(" | ") || "(none)"}`);
+    console.log("");
+
+    writeRobotExperience({
+      event: "tipllm_plan",
+      observed_at: new Date().toISOString(),
+      actor: "verification-robots",
+      vendor: row.vendor,
+      summary: plan.data.summary || "TIPLLM produced a crawler research plan.",
+      input: { vendor: row.vendor, product, context },
+      decision: {
+        usable_plan: true,
+        search_patterns: patterns,
+        extraction_fields: fields,
+        relevance_rules: rules,
+        confidence: plan.data.confidence ?? null,
+      },
+      safety_notes: [
+        "TIPLLM planning mode starts no crawler jobs.",
+        "Plans must be executed through capped profiles.",
+      ],
+    });
+  }
+
+  writeRobotExperience({
+    event: "tipllm_plan",
+    observed_at: new Date().toISOString(),
+    actor: "verification-robots",
+    summary: "TIPLLM planning batch completed.",
+    input: { requested_limit: limit, planned_vendors: targets.map((row) => row.vendor) },
+    decision: { next_safe_step: "Review plans, then enqueue a small erik-safe dry run or dispatch heavy work to Proxmox/Pi profiles." },
+    safety_notes: ["No crawler jobs were started by the planning batch."],
+  }, { flush: true });
+}
+
+function printStatus(summary: Record<string, string>, vendors: VendorBlockerRow[]): void {
+  console.log("\n=== TIP Verification Robot Status ===\n");
+  console.log(`Total products:              ${summary.total ?? "0"}`);
+  console.log(`Not fully verified:          ${summary.not_fully_verified ?? "0"}`);
+  console.log(`Missing price:               ${summary.missing_price ?? "0"}`);
+  console.log(`Missing image:               ${summary.missing_image ?? "0"}`);
+  console.log(`Missing details:             ${summary.missing_details ?? "0"}`);
+  console.log(`Near-full, missing details:  ${summary.near_full_missing_details ?? "0"}`);
+  console.log(`Near-full, missing image:    ${summary.near_full_missing_image ?? "0"}`);
+  console.log(`Near-full, missing price:    ${summary.near_full_missing_price ?? "0"}`);
+
+  console.log("\nTop vendor blockers:");
+  for (const row of vendors.slice(0, 15)) {
+    const nearDetails = toInt(row.near_full_missing_details);
+    const nearImage = toInt(row.near_full_missing_image);
+    console.log(
+      `  ${row.vendor.padEnd(22)} not_full=${row.not_fully_verified.padStart(4)} ` +
+      `missing_img=${row.missing_image.padStart(4)} missing_details=${row.missing_details.padStart(4)} ` +
+      `near_details=${String(nearDetails).padStart(4)} near_image=${String(nearImage).padStart(4)}`,
+    );
+  }
+}
+
+function recordStatusExperience(summary: Record<string, string>, vendors: VendorBlockerRow[]): void {
+  writeRobotExperience({
+    event: "status",
+    observed_at: new Date().toISOString(),
+    actor: "verification-robots",
+    summary: "Verification robot status snapshot captured for TIPLLM learning.",
+    input: {
+      total: summary.total,
+      not_fully_verified: summary.not_fully_verified,
+      missing_price: summary.missing_price,
+      missing_image: summary.missing_image,
+      missing_details: summary.missing_details,
+      near_full_missing_details: summary.near_full_missing_details,
+      near_full_missing_image: summary.near_full_missing_image,
+      top_vendors: vendors.slice(0, 10),
+    },
+    decision: {
+      recommended_sequence: [
+        "Use TIPLLM planning for top vendor blockers before new crawler work.",
+        "Run details-fast-lane first because near-full missing-details products convert fastest.",
+        "Keep Erik on erik-safe profile; send Playwright/discovery work to Proxmox or Pi workers.",
+      ],
+    },
+    safety_notes: [
+      "Status collection is read-only.",
+      "No crawler jobs are started by status collection.",
+    ],
+  });
+}
+
+async function main(): Promise<void> {
+  const args = process.argv.slice(2);
+  const enqueueArg = args.find((a) => a.startsWith("--enqueue="));
+  const wave = enqueueArg?.split("=")[1] as RobotWave | undefined;
+  const profileArg = args.find((a) => a.startsWith("--profile="));
+  const profile = (profileArg?.split("=")[1] || "erik-safe") as RobotProfile;
+  const maxQueuesArg = args.find((a) => a.startsWith("--max-queues="));
+  const maxQueues = maxQueuesArg ? Number.parseInt(maxQueuesArg.split("=")[1], 10) : undefined;
+  const limitArg = args.find((a) => a.startsWith("--limit="));
+  const limit = limitArg ? Number.parseInt(limitArg.split("=")[1], 10) : 5;
+  const dryRun = args.includes("--dry-run");
+  const tipLlmPlan = args.includes("--tipllm-plan");
+
+  if (args.includes("--status") || (!wave && !tipLlmPlan)) {
+    const status = await getVerificationStatus();
+    printStatus(status.summary, status.vendors);
+    recordStatusExperience(status.summary, status.vendors);
+  }
+
+  if (tipLlmPlan) {
+    await planWithTipLlm(limit);
+  }
+
+  if (wave) {
+    if (!["details-fast-lane", "priority-vendors", "all"].includes(wave)) {
+      throw new Error("Invalid --enqueue value. Use details-fast-lane, priority-vendors, or all.");
+    }
+    if (!["erik-safe", "pi-fetch", "proxmox-heavy"].includes(profile)) {
+      throw new Error("Invalid --profile value. Use erik-safe, pi-fetch, or proxmox-heavy.");
+    }
+    await enqueueRobotWave(wave, { dryRun, profile, maxQueues });
+  }
+
+  await pool.end();
+}
+
+if (require.main === module) {
+  main().catch(async (err) => {
+    console.error("Fatal:", err);
+    await pool.end().catch(() => {});
+    process.exit(1);
+  });
+}

packages/scraper/src/scrapers/fiber24.ts

@@ -14,7 +14,7 @@
  *
  * Rate limited: 1 req/1.5 sec.
  */
-import { pool, findOrCreateScrapedTransceiver, ensureVendor, upsertPriceObservation } from "../utils/db";
+import { pool, findOrCreateScrapedTransceiver, ensureVendor, upsertPriceObservation, markImageVerified } from "../utils/db";
 import { contentHash } from "../utils/hash";
 import * as cheerio from "cheerio";
 import * as zlib from "zlib";
@@ -220,6 +220,7 @@ export async function scrapeFiber24(): Promise<void> {
       const txId = await findOrCreateScrapedTransceiver({
         partNumber: product.partNumber,
         vendorId,
+        productUrl: product.url,
         formFactor: product.formFactor,
         speedGbps: product.speedGbps,
         speed: product.speed,
@@ -246,12 +247,8 @@ export async function scrapeFiber24(): Promise<void> {
 
       // Save image URL to transceivers table if present
       if (product.imageUrl) {
-        await pool.query(
+        const updatedImage = await markImageVerified(txId, product.imageUrl);
-          `UPDATE transceivers SET image_url = $1, image_scraped_at = NOW(), has_image = true
+        if (updatedImage) imageUpdates++;
-           WHERE id = $2 AND (image_url IS NULL OR image_url = '')`,
-          [product.imageUrl, txId],
-        );
-        imageUpdates++;
       }
 
       totalProducts++;

packages/scraper/src/scrapers/fibermall.ts

@@ -11,7 +11,7 @@
  *   Pagination:     /store-XXXXX-name.htm?page=N
  *   Product list:   CSS class "new_proList_mainListLi"
  */
-import { pool, findOrCreateScrapedTransceiver, ensureVendor, upsertPriceObservation } from "../utils/db";
+import { pool, findOrCreateScrapedTransceiver, ensureVendor, upsertPriceObservation, markImageVerified } from "../utils/db";
 import { contentHash } from "../utils/hash";
 
 const BASE = "https://www.fibermall.com";
@@ -228,6 +228,7 @@ export async function scrapeFiberMall(): Promise<void> {
           const txId = await findOrCreateScrapedTransceiver({
             partNumber: product.partNumber,
             vendorId,
+            productUrl: product.url,
             formFactor: product.formFactor,
             speedGbps: product.speedGbps,
             speed: product.speed,
@@ -254,13 +255,8 @@ export async function scrapeFiberMall(): Promise<void> {
 
           // Save image URL if found and not yet stored
           if (product.imageUrl) {
-            const imgResult = await pool.query(
+            const updatedImage = await markImageVerified(txId, product.imageUrl);
-              `UPDATE transceivers SET image_url = $1, image_scraped_at = NOW(), has_image = true
+            if (updatedImage) imageUpdates++;
-               WHERE id = $2 AND (image_url IS NULL OR image_url = '')
-               RETURNING id`,
-              [product.imageUrl, txId],
-            );
-            if (imgResult.rowCount && imgResult.rowCount > 0) imageUpdates++;
           }
 
           totalProducts++;

packages/scraper/src/utils/backfill-images.ts

@@ -16,7 +16,7 @@
  *   node dist/utils/backfill-images.js
  */
 
-import { pool } from "./db";
+import { pool, markImageVerified } from "./db";
 import { logger } from "./logger";
 
 function sleep(ms: number): Promise<void> {
@@ -24,10 +24,7 @@ function sleep(ms: number): Promise<void> {
 }
 
 async function updateImageUrl(id: string, imageUrl: string): Promise<void> {
-  await pool.query(
+  await markImageVerified(id, imageUrl);
-    `UPDATE transceivers SET image_url = $1, image_scraped_at = NOW(), has_image = TRUE WHERE id = $2`,
-    [imageUrl, id]
-  );
 }
 
 async function fetchJson(url: string, init?: RequestInit): Promise<unknown> {
@@ -484,7 +481,7 @@ async function backfillOtherVendors(): Promise<{ total: number; updated: number
 // Main
 // =============================================================================
 
-async function main(): Promise<void> {
+export async function backfillImages(): Promise<void> {
   logger.info("=== TIP Image Backfill Script ===");
   logger.info(`DB: ${process.env.POSTGRES_HOST ?? "localhost"}:${process.env.POSTGRES_PORT ?? "5433"}`);
 
@@ -531,10 +528,12 @@ async function main(): Promise<void> {
   logger.info("=== Backfill complete ===", { results, elapsedSec });
 }
 
-main()
+if (require.main === module) {
+  backfillImages()
     .then(() => pool.end())
     .catch((err) => {
       logger.error("Fatal error", { error: (err as Error).message });
       pool.end();
       process.exit(1);
     });
+}

packages/scraper/src/utils/image-downloader.ts

@@ -25,7 +25,13 @@ export async function setTransceiverImage(
   source?: string
 ): Promise<void> {
   await pool.query(
-    `UPDATE transceivers SET image_url = $2, has_image = true, image_scraped_at = NOW()
+    `UPDATE transceivers
+     SET image_url = $2,
+         has_image = true,
+         image_verified = true,
+         image_verified_at = COALESCE(image_verified_at, NOW()),
+         image_verified_url = COALESCE(NULLIF(image_verified_url, ''), $2),
+         image_scraped_at = NOW()
      WHERE id = $1 AND (image_url IS NULL OR image_url = '')`,
     [transceiverId, imageUrl]
   );

packages/scraper/src/utils/spec-updater.ts

@@ -77,7 +77,7 @@ export async function updateVerifiedSpecs(specs: VerifiedSpecs): Promise<boolean
     idx++;
   }
   if (specs.imageUrl) {
-    updates.push(`image_url = $${idx}, has_image = true`);
+    updates.push(`image_url = $${idx}, has_image = true, image_verified = true, image_verified_at = COALESCE(image_verified_at, NOW()), image_verified_url = COALESCE(NULLIF(image_verified_url, ''), $${idx})`);
     values.push(specs.imageUrl);
     idx++;
   }
@@ -92,6 +92,11 @@ export async function updateVerifiedSpecs(specs: VerifiedSpecs): Promise<boolean
 
   // Always upgrade confidence from estimated to scraped
   updates.push(`data_confidence = 'scraped_unverified'`);
+  updates.push(`details_verified = true`);
+  updates.push(`details_verified_at = COALESCE(details_verified_at, NOW())`);
+  updates.push(`details_source_url = COALESCE(NULLIF(details_source_url, ''), $${idx})`);
+  values.push(specs.source);
+  idx++;
   updates.push(`updated_at = NOW()`);
 
   values.push(specs.transceiverId);

scripts/tip-learning-pool-build.ts

@@ -9,6 +9,7 @@ type Row = { id: string; lane: Lane; source: string; kind: string; messages: Mes
 
 const repoRoot = process.cwd();
 const externalRoot = process.env.TIP_LEARNING_SOURCE_DIR || join(homedir(), "transceiver-training-data");
+const giteaTrainingRoot = process.env.TIP_TRAINING_REPO || "/tmp/tip-training-data";
 const blogMegaRoot = process.env.BLOG_LLM_SOURCE_DIR || join(homedir(), "Desktop", "BlogLLM-v5-Mega-Training");
 const outRoot = join(repoRoot, "training-data", "runpod");
 
@@ -128,11 +129,25 @@ function markdownBlog(path: string): Row[] {
   }];
 }
 
+function collectJsonlDir(dir: string, lane: Lane): Row[] {
+  if (!existsSync(dir)) return [];
+  const rows: Row[] = [];
+  for (const entry of readdirSync(dir, { withFileTypes: true })) {
+    const path = join(dir, entry.name);
+    if (entry.isDirectory()) rows.push(...collectJsonlDir(path, lane));
+    else if (entry.isFile() && entry.name.endsWith(".jsonl")) rows.push(...jsonl(path, lane));
+  }
+  return rows;
+}
+
 function collect(lane: Lane): Row[] {
   const rows: Row[] = [];
   for (const file of files[lane]) {
     for (const root of [externalRoot, blogMegaRoot, repoRoot]) rows.push(...jsonl(join(root, file), lane));
   }
+  if (lane === "tip_llm") {
+    rows.push(...collectJsonlDir(join(giteaTrainingRoot, "qa-pairs"), lane));
+  }
   if (lane === "blog_llm") {
     for (const dir of [join(repoRoot, "blog-training-data"), join(externalRoot, "v6-tip-blogs")]) {
       if (!existsSync(dir)) continue;