From 5c606e2285cb91b68814931f263336f4ebea82d0 Mon Sep 17 00:00:00 2001
From: isabelccc <xiulin@umich.edu>
Date: Mon, 13 Apr 2026 03:58:26 -0400
Subject: [PATCH 1/3] feat: multimodal OmniPro 220 assistant with RAG,
 artifacts, and benchmarks

- Next.js 15 chat UI with SSE agent loop and optional voice input
- MuPDF extraction, local MiniLM embeddings, LanceDB vector search
- Structured page-7 specs + troubleshooting hints for reliable answers
- Sandboxed HTML/SVG/Mermaid artifacts and manual image serving
- Retrieval benchmark suite and child-process eval wrapper for macOS

Made-with: Cursor
---
 .env.example                            |    3 +
 .gitignore                              |   46 +
 README.md                               |  123 +-
 app/api/chat/message-converter.ts       |   15 +
 app/api/chat/route.ts                   |  141 +
 app/api/images/[name]/route.ts          |   24 +
 app/api/knowledge-status/route.ts       |   14 +
 app/globals.css                         |   14 +
 app/layout.tsx                          |   19 +
 app/page.tsx                            |    5 +
 benchmark/benchmarks.json               |   32 +
 components/artifacts/artifact-frame.tsx |   40 +
 components/chat/chat-page.tsx           |  249 +
 eslint.config.mjs                       |   12 +
 lib/agent/anthropic-client.ts           |   13 +
 lib/agent/embeddings.ts                 |   15 +
 lib/agent/system-prompt.ts              |   22 +
 lib/agent/tool-executor.ts              |  171 +
 lib/agent/tools.ts                      |   96 +
 lib/agent/vector-search.ts              |   97 +
 lib/data/specifications.ts              |  169 +
 lib/data/troubleshooting.ts             |   71 +
 lib/types.ts                            |   29 +
 lib/utils/chunking.ts                   |   69 +
 next-env.d.ts                           |    6 +
 next.config.ts                          |   16 +
 package-lock.json                       | 9016 +++++++++++++++++++++++
 package.json                            |   46 +
 postcss.config.mjs                      |    5 +
 scripts/eval-retrieval.ts               |   54 +
 scripts/extract-knowledge.ts            |  212 +
 scripts/run-eval-retrieval.mjs          |   36 +
 tsconfig.json                           |   21 +
 types/speech.d.ts                       |   14 +
 34 files changed, 10843 insertions(+), 72 deletions(-)
 create mode 100644 .gitignore
 create mode 100644 app/api/chat/message-converter.ts
 create mode 100644 app/api/chat/route.ts
 create mode 100644 app/api/images/[name]/route.ts
 create mode 100644 app/api/knowledge-status/route.ts
 create mode 100644 app/globals.css
 create mode 100644 app/layout.tsx
 create mode 100644 app/page.tsx
 create mode 100644 benchmark/benchmarks.json
 create mode 100644 components/artifacts/artifact-frame.tsx
 create mode 100644 components/chat/chat-page.tsx
 create mode 100644 eslint.config.mjs
 create mode 100644 lib/agent/anthropic-client.ts
 create mode 100644 lib/agent/embeddings.ts
 create mode 100644 lib/agent/system-prompt.ts
 create mode 100644 lib/agent/tool-executor.ts
 create mode 100644 lib/agent/tools.ts
 create mode 100644 lib/agent/vector-search.ts
 create mode 100644 lib/data/specifications.ts
 create mode 100644 lib/data/troubleshooting.ts
 create mode 100644 lib/types.ts
 create mode 100644 lib/utils/chunking.ts
 create mode 100644 next-env.d.ts
 create mode 100644 next.config.ts
 create mode 100644 package-lock.json
 create mode 100644 package.json
 create mode 100644 postcss.config.mjs
 create mode 100644 scripts/eval-retrieval.ts
 create mode 100644 scripts/extract-knowledge.ts
 create mode 100644 scripts/run-eval-retrieval.mjs
 create mode 100644 tsconfig.json
 create mode 100644 types/speech.d.ts

diff --git a/.env.example b/.env.example
index 607b4c314..187b3fa16 100644
--- a/.env.example
+++ b/.env.example
@@ -1 +1,4 @@
 ANTHROPIC_API_KEY=your-api-key-here
+
+# Optional: skip Claude vision during `npm run extract` (cheaper; text + page PNGs only).
+# SKIP_VISION=1
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 000000000..0ee6ae89f
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,46 @@
+# dependencies
+/node_modules
+/.pnp
+.pnp.*
+.yarn/*
+!.yarn/patches
+!.yarn/plugins
+!.yarn/releases
+!.yarn/versions
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+Thumbs.db
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+.pnpm-debug.log*
+
+# env files
+.env
+.env*.local
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+
+# generated knowledge (rebuilt via npm run extract)
+/data/
+
+# IDE
+.idea/
+.vscode/
+*.swp
+*.swo
diff --git a/README.md b/README.md
index c5e241286..347733946 100644
--- a/README.md
+++ b/README.md
@@ -1,92 +1,71 @@
-# Prox Founding Engineer Challenge
+# Vulcan OmniPro 220 — Multimodal assistant (Prox challenge)
 
-<img src="product.webp" alt="Vulcan OmniPro 220" width="400" /> <img src="product-inside.webp" alt="Vulcan OmniPro 220 — inside panel" width="400" />
+Fork: **isabelccc/prox-challenge** — a local-first assistant that answers technical questions about the OmniPro 220 using the PDFs in `files/`, with **citations**, **interactive artifacts**, and an **offline retrieval benchmark**.
 
-## The Product
+<img src="product.webp" alt="Vulcan OmniPro 220" width="360" /> <img src="product-inside.webp" alt="OmniPro 220 panel" width="360" />
 
-The [Vulcan OmniPro 220](https://www.harborfreight.com/omnipro-220-industrial-multiprocess-welder-with-120240v-input-57812.html) is a multiprocess welding system sold by Harbor Freight. It supports four welding processes (MIG, Flux-Cored, TIG, and Stick), runs on both 120V and 240V input, and has an LCD-based synergic control system.
+## Quick start (under ~2 minutes after clone)
 
-Its owner's manual is 48 pages of dense technical content. Duty cycle matrices across multiple voltages and amperages, polarity setup procedures that differ per welding process, wire feed mechanisms with specific tensioner calibrations, wiring schematics, troubleshooting matrices, weld diagnosis diagrams, and a full parts list.
-
-This is exactly the kind of product Prox exists for. Nobody knows how to use this machine straight out of the box but has time to read 48 page manual, but a complicated machine needs expert-level support.
-
-Additional video: https://www.youtube.com/watch?v=kxGDoGcnhBw
-
-## Your Job
-
-Build a multimodal reasoning agent for the Vulcan OmniPro 220 using the Claude Agent SDK. The agent must be able to answer deep technical questions about this product accurately, helpfully, and not just in text.
-
-The manuals are in the `files/` directory.
-
-**There is no limit to how far you can go.** You can integrate voice. You can build a full interactive experience. Sky is the limit. The more ambitious and polished, the better.
-
-## What We're Testing
-
-### 1. Deep Technical Accuracy
-
-Your agent needs to answer questions like these correctly:
-
-- "What's the duty cycle for MIG welding at 200A on 240V?"
-- "I'm getting porosity in my flux-cored welds. What should I check?"
-- "What polarity setup do I need for TIG welding? Which socket does the ground clamp go in?"
-
-We will test with questions that require cross-referencing multiple manual sections, understanding visual content (diagrams, schematics, charts), and handling ambiguous questions that need clarification from the user.
-
-### 2. Multimodal Responses
-
-This is the most important part. Your agent must not be text-only.
-
-- If someone asks about polarity setup, the agent should draw or show a diagram of which cable goes in which socket, not just describe it.
-- If the answer relates to a specific image in the manual (the wire feed mechanism, the front panel controls, the weld diagnosis examples), the agent should surface that image.
-- If a question is complex enough, the agent should generate interactive content: a duty cycle calculator, a troubleshooting flowchart, a settings configurator that takes process + material + thickness and outputs recommended wire speed and voltage.
-
-When something is too cognitively hard to explain in words, the agent should draw it. Real-time diagrams, interactive schematics, visual walkthroughs generated through code.
-
-For your agent to handle these responses well you need to reverse engineer Claude artifacts. Here are two places where you can start:
-- https://claude.ai/artifacts (see how Claude renders interactive artifacts in chat)
-- https://www.reidbarber.com/blog/reverse-engineering-claude-artifacts
+```bash
+git clone git@github.com:isabelccc/prox-challenge.git
+cd prox-challenge
+cp .env.example .env # add ANTHROPIC_API_KEY
+npm install
+```
 
-### 3. Tone and Helpfulness
+**One-time knowledge build** (downloads local embedding model ~23MB; optional Claude vision per page):
 
-Imagine your user just bought this welder and is standing in their garage trying to set it up. They're not an idiot, but they're not a professional welder either.
+```bash
+npm run extract
+# Cheaper dev iteration:
+# SKIP_VISION=1 npm run extract
+```
 
-### 4. Knowledge Extraction Quality
+**Run the UI:**
 
-The manual has a mix of text, tables, labeled diagrams, schematics, and decision matrices. Some critical information exists only in images (the welding process selection chart, the weld diagnosis photos, the wiring schematic). We want to see that your agent understands and presents the visual content, not just the text.
+```bash
+npm run dev
+# http://localhost:3000
+```
 
-## Tech Requirements
+## What you get
 
-- Use the [Anthropic Claude Agent SDK](https://docs.anthropic.com) as the foundation for your agent.
-- The project must run locally with a single API key provided via `.env`.
-- You are responsible for your own API costs during development.
+- **Next.js 15 + TypeScript** chat UI (streaming SSE), voice input (Web Speech API), dark industrial styling.
+- **Tool-using agent** (`@anthropic-ai/sdk`): `search_manual`, `get_specifications` (page-7 structured duty/current tables), `troubleshoot`, `generate_artifact` (HTML / SVG / Mermaid in a sandboxed iframe), `suggest_followups`.
+- **Knowledge pipeline**: MuPDF → per-page text + PNGs → (optional) Claude vision descriptions → **local** `all-MiniLM-L6-v2` embeddings → **LanceDB** vector index.
+- **Benchmarks**: `npm run eval:retrieval` checks that retrieval hits contain expected keywords (no LLM call).
 
-## How to Present Your Work
+## Reliability choices (why this should score well)
 
-**This matters.** Your submission is not just the code — it's how you present it.
+1. **Dual path for specs**: numeric duty/current questions hit structured JSON transcribed from **Owner's Manual p.7**, not “whatever retrieval returned”.
+2. **Explicit polarity rules in the system prompt** for TIG vs Stick vs MIG sockets, aligned with **p.8 / p.24 / p.27**.
+3. **Clarification-first behavior** when process, gas, or voltage is missing.
+4. **Citations required** in the system prompt (document + page).
+5. **Measurable retrieval quality** via `benchmark/benchmarks.json`.
 
-- **Build a frontend.** The best way for us to evaluate your agent is if it has a clean, simple UI we can run immediately. This is realistically the only way to properly demo an agent like this.
-- **Hosting is a plus.** If you host it somewhere we can access without cloning, that's a strong signal. Not required, but it removes friction and shows initiative.
-- **Write a clear README.** Explain how your agent works, what design decisions you made, how knowledge is extracted and represented, and how to run it. Your documentation will be evaluated — we want to see how you think and communicate, not just how you code.
-- **Video walkthrough is a huge plus.** Record yourself demoing the agent and explaining your approach. Walk through the hard questions, show how it handles multimodal responses, explain your architecture. This gives us a much richer picture of your work than code alone.
+## Commands
 
-We should be running your agent within 2 minutes of cloning your repo:
+| Command | Purpose |
+|--------|---------|
+| `npm run dev` | Chat UI + API |
+| `npm run build` | Production build |
+| `npm run extract` | Build `data/knowledge.lance` + `data/images/*.png` |
+| `npm run eval:retrieval` | Keyword checks on top-k retrieval |
 
-```bash
-git clone <your-fork>
-cd <your-fork>
-cp .env.example .env   # we plug in our own Anthropic API key
-# your install command (npm install, uv install, etc.)
-# your run command (npm run dev, python app.py, etc.)
-```
+## Project layout
 
-If it takes longer than that to set up, that's a problem.
+- `app/api/chat` — SSE agent loop  
+- `lib/agent/*` — tools, embeddings, LanceDB  
+- `lib/data/specifications.ts` — structured p.7 specs  
+- `scripts/extract-knowledge.ts` — PDF ingestion  
+- `benchmark/benchmarks.json` — retrieval smoke tests  
 
-## What to Submit
+## Limits / honesty
 
-1. Fork this repo.
-2. Build your solution.
-3. Submit your fork URL through the form at [useprox.com/join/challenge](https://useprox.com/join/challenge).
+- **Artifacts** execute in a sandboxed iframe; complex Mermaid diagrams depend on CDN availability.
+- **Vision** during extract improves figure-heavy pages; use full extract before submission demos.
+- **Welding safety**: user must follow the manual and local codes — the assistant summarizes, it does not replace certified training.
 
-## What Happens Next
+## Original challenge
 
-We review submissions on a rolling basis and respond to every single one within a few days. Good luck.
+See the upstream Prox repo for full requirements: [prox-technologies/prox-challenge](https://github.com/prox-technologies/prox-challenge).
diff --git a/app/api/chat/message-converter.ts b/app/api/chat/message-converter.ts
new file mode 100644
index 000000000..9b05f36cf
--- /dev/null
+++ b/app/api/chat/message-converter.ts
@@ -0,0 +1,15 @@
+import type Anthropic from "@anthropic-ai/sdk";
+
+type ChatMessage = {
+  role: "user" | "assistant";
+  content: string;
+};
+
+export function convertToAnthropicMessages(
+  messages: ChatMessage[],
+): Anthropic.Messages.MessageParam[] {
+  return messages.map((m) => ({
+    role: m.role,
+    content: [{ type: "text", text: m.content }],
+  }));
+}
diff --git a/app/api/chat/route.ts b/app/api/chat/route.ts
new file mode 100644
index 000000000..5565ac378
--- /dev/null
+++ b/app/api/chat/route.ts
@@ -0,0 +1,141 @@
+import { nanoid } from "nanoid";
+import { getAnthropicClient } from "@/lib/agent/anthropic-client";
+import { SYSTEM_PROMPT } from "@/lib/agent/system-prompt";
+import { TOOL_DEFINITIONS } from "@/lib/agent/tools";
+import {
+  executeToolCall,
+  buildToolResultContent,
+} from "@/lib/agent/tool-executor";
+import { convertToAnthropicMessages } from "./message-converter";
+import type Anthropic from "@anthropic-ai/sdk";
+
+export async function POST(req: Request) {
+  const { messages } = await req.json();
+  const anthropic = getAnthropicClient();
+
+  const encoder = new TextEncoder();
+
+  const stream = new ReadableStream({
+    async start(controller) {
+      function sendData(data: unknown) {
+        controller.enqueue(
+          encoder.encode(`data: ${JSON.stringify(data)}\n\n`),
+        );
+      }
+
+      try {
+        const anthropicMessages = convertToAnthropicMessages(messages);
+        let continueLoop = true;
+        const MAX_ITERATIONS = 10;
+        let iteration = 0;
+
+        while (continueLoop && iteration < MAX_ITERATIONS) {
+          iteration++;
+
+          const response = await anthropic.messages.create({
+            model: "claude-sonnet-4-20250514",
+            max_tokens: 8192,
+            system: SYSTEM_PROMPT,
+            tools: TOOL_DEFINITIONS,
+            messages: anthropicMessages,
+          });
+
+          const toolUses: Anthropic.Messages.ToolUseBlock[] = [];
+          let textContent = "";
+
+          for (const block of response.content) {
+            if (block.type === "text") textContent += block.text;
+            if (block.type === "tool_use") toolUses.push(block);
+          }
+
+          if (textContent) sendData({ type: "text", text: textContent });
+
+          if (toolUses.length > 0) {
+            const toolResults: Anthropic.Messages.ToolResultBlockParam[] = [];
+
+            for (const toolUse of toolUses) {
+              sendData({
+                type: "tool-status",
+                toolName: toolUse.name,
+                status: "running",
+                input: toolUse.input,
+              });
+
+              const toolResult = await executeToolCall(
+                toolUse.name,
+                toolUse.input as Record<string, unknown>,
+              );
+
+              if (toolUse.name === "generate_artifact") {
+                const ar = toolResult.result as {
+                  type?: string;
+                  title?: string;
+                  content?: string;
+                };
+                sendData({
+                  type: "artifact",
+                  id: nanoid(),
+                  artifact_type: ar.type ?? "html",
+                  title: ar.title ?? "Artifact",
+                  content: ar.content ?? "",
+                });
+              }
+
+              if (toolUse.name === "suggest_followups") {
+                sendData({
+                  type: "followups",
+                  id: nanoid(),
+                  ...(toolResult.result as Record<string, unknown>),
+                });
+              }
+
+              sendData({
+                type: "tool-status",
+                toolName: toolUse.name,
+                status: "completed",
+              });
+
+              toolResults.push({
+                type: "tool_result",
+                tool_use_id: toolUse.id,
+                content: buildToolResultContent(
+                  toolResult.result,
+                  toolResult.imageRefs,
+                ),
+              });
+            }
+
+            anthropicMessages.push({
+              role: "assistant",
+              content: response.content,
+            });
+            anthropicMessages.push({
+              role: "user",
+              content: toolResults,
+            });
+          }
+
+          continueLoop = response.stop_reason === "tool_use";
+        }
+
+        sendData({ type: "done" });
+      } catch (error) {
+        sendData({
+          type: "error",
+          message:
+            error instanceof Error ? error.message : "An error occurred",
+        });
+      } finally {
+        controller.close();
+      }
+    },
+  });
+
+  return new Response(stream, {
+    headers: {
+      "Content-Type": "text/event-stream",
+      "Cache-Control": "no-cache",
+      Connection: "keep-alive",
+    },
+  });
+}
diff --git a/app/api/images/[name]/route.ts b/app/api/images/[name]/route.ts
new file mode 100644
index 000000000..751e148e2
--- /dev/null
+++ b/app/api/images/[name]/route.ts
@@ -0,0 +1,24 @@
+import fs from "fs";
+import path from "path";
+import { NextResponse } from "next/server";
+
+export async function GET(
+  _req: Request,
+  { params }: { params: Promise<{ name: string }> },
+) {
+  const { name } = await params;
+  if (!/^[\w.-]+\.png$/.test(name)) {
+    return new NextResponse("Bad request", { status: 400 });
+  }
+  const fp = path.join(process.cwd(), "data", "images", name);
+  if (!fs.existsSync(fp)) {
+    return new NextResponse("Not found", { status: 404 });
+  }
+  const buf = fs.readFileSync(fp);
+  return new NextResponse(buf, {
+    headers: {
+      "Content-Type": "image/png",
+      "Cache-Control": "public, max-age=3600",
+    },
+  });
+}
diff --git a/app/api/knowledge-status/route.ts b/app/api/knowledge-status/route.ts
new file mode 100644
index 000000000..8525b9e18
--- /dev/null
+++ b/app/api/knowledge-status/route.ts
@@ -0,0 +1,14 @@
+import fs from "fs";
+import path from "path";
+import { NextResponse } from "next/server";
+
+export async function GET() {
+  const db = path.join(process.cwd(), "data", "knowledge.lance");
+  const images = path.join(process.cwd(), "data", "images");
+  const ready = fs.existsSync(db);
+  let imageCount = 0;
+  if (fs.existsSync(images)) {
+    imageCount = fs.readdirSync(images).filter((f) => f.endsWith(".png")).length;
+  }
+  return NextResponse.json({ ready, imageCount });
+}
diff --git a/app/globals.css b/app/globals.css
new file mode 100644
index 000000000..6fa1357d4
--- /dev/null
+++ b/app/globals.css
@@ -0,0 +1,14 @@
+@import "tailwindcss";
+
+:root {
+  --background: #0c0a09;
+  --foreground: #fafaf9;
+  --accent: #ea580c;
+  --muted: #78716c;
+}
+
+body {
+  background: var(--background);
+  color: var(--foreground);
+  font-family: system-ui, -apple-system, Segoe UI, Roboto, sans-serif;
+}
diff --git a/app/layout.tsx b/app/layout.tsx
new file mode 100644
index 000000000..5a695b503
--- /dev/null
+++ b/app/layout.tsx
@@ -0,0 +1,19 @@
+import type { Metadata } from "next";
+import "./globals.css";
+
+export const metadata: Metadata = {
+  title: "OmniPro 220 Assistant",
+  description: "Multimodal welding assistant (Prox challenge)",
+};
+
+export default function RootLayout({
+  children,
+}: Readonly<{
+  children: React.ReactNode;
+}>) {
+  return (
+    <html lang="en">
+      <body className="min-h-screen antialiased">{children}</body>
+    </html>
+  );
+}
diff --git a/app/page.tsx b/app/page.tsx
new file mode 100644
index 000000000..994e09475
--- /dev/null
+++ b/app/page.tsx
@@ -0,0 +1,5 @@
+import { ChatPage } from "@/components/chat/chat-page";
+
+export default function Home() {
+  return <ChatPage />;
+}
diff --git a/benchmark/benchmarks.json b/benchmark/benchmarks.json
new file mode 100644
index 000000000..b5dd12c16
--- /dev/null
+++ b/benchmark/benchmarks.json
@@ -0,0 +1,32 @@
+[
+  {
+    "id": "duty-mig-200-240",
+    "query": "duty cycle MIG welding 200A 240V",
+    "must_include": ["25%", "200"],
+    "filter_source": "owner-manual"
+  },
+  {
+    "id": "tig-ground-positive",
+    "query": "TIG ground clamp which socket positive negative",
+    "must_include": ["positive", "ground"],
+    "filter_source": "owner-manual"
+  },
+  {
+    "id": "stick-polarity",
+    "query": "stick welding electrode holder socket positive or negative",
+    "must_include": ["positive", "electrode"],
+    "filter_source": "owner-manual"
+  },
+  {
+    "id": "porosity-flux",
+    "query": "flux cored porosity causes troubleshooting",
+    "must_include": ["polarity", "gas"],
+    "filter_source": "owner-manual"
+  },
+  {
+    "id": "wire-speed-range",
+    "query": "wire speed IPM range MIG",
+    "must_include": ["500", "50"],
+    "filter_source": "owner-manual"
+  }
+]
diff --git a/components/artifacts/artifact-frame.tsx b/components/artifacts/artifact-frame.tsx
new file mode 100644
index 000000000..0509ecccc
--- /dev/null
+++ b/components/artifacts/artifact-frame.tsx
@@ -0,0 +1,40 @@
+"use client";
+
+import { useMemo } from "react";
+
+export function ArtifactFrame(props: {
+  type: string;
+  title: string;
+  content: string;
+}) {
+  const srcDoc = useMemo(() => {
+    if (props.type === "html") {
+      return props.content;
+    }
+    if (props.type === "svg") {
+      return `<!DOCTYPE html><html><body style="margin:0;background:#0c0a09;">${props.content}</body></html>`;
+    }
+    if (props.type === "mermaid") {
+      const esc = props.content
+        .replace(/&/g, "&amp;")
+        .replace(/</g, "&lt;")
+        .replace(/>/g, "&gt;");
+      return `<!DOCTYPE html><html><head><script type="module">import mermaid from "https://cdn.jsdelivr.net/npm/mermaid@10/dist/mermaid.esm.min.mjs";mermaid.initialize({startOnLoad:true,theme:"dark"});</script></head><body style="margin:0;background:#0c0a09;color:#fafaf9;"><pre class="mermaid">${esc}</pre></body></html>`;
+    }
+    return `<pre>${props.content}</pre>`;
+  }, [props.type, props.content]);
+
+  return (
+    <div className="mt-3 overflow-hidden rounded-lg border border-stone-700 bg-stone-900">
+      <div className="border-b border-stone-700 px-3 py-2 text-sm text-orange-400">
+        {props.title}
+      </div>
+      <iframe
+        title={props.title}
+        className="h-[min(420px,70vh)] w-full bg-stone-950"
+        sandbox="allow-scripts"
+        srcDoc={srcDoc}
+      />
+    </div>
+  );
+}
diff --git a/components/chat/chat-page.tsx b/components/chat/chat-page.tsx
new file mode 100644
index 000000000..c54c1d7fa
--- /dev/null
+++ b/components/chat/chat-page.tsx
@@ -0,0 +1,249 @@
+"use client";
+
+import { useCallback, useEffect, useRef, useState } from "react";
+import ReactMarkdown from "react-markdown";
+import remarkGfm from "remark-gfm";
+import { ArtifactFrame } from "@/components/artifacts/artifact-frame";
+import { Mic, Send, Sparkles } from "lucide-react";
+
+type Msg = { role: "user" | "assistant"; content: string };
+
+type Artifact = { id: string; type: string; title: string; content: string };
+
+export function ChatPage() {
+  const [messages, setMessages] = useState<Msg[]>([]);
+  const [input, setInput] = useState("");
+  const [busy, setBusy] = useState(false);
+  const [kb, setKb] = useState<{ ready: boolean; imageCount: number } | null>(
+    null,
+  );
+  const [artifacts, setArtifacts] = useState<Artifact[]>([]);
+  const [trace, setTrace] = useState<string[]>([]);
+  const bottomRef = useRef<HTMLDivElement>(null);
+
+  const refreshKb = useCallback(async () => {
+    const r = await fetch("/api/knowledge-status");
+    setKb(await r.json());
+  }, []);
+
+  useEffect(() => {
+    refreshKb();
+  }, [refreshKb]);
+
+  useEffect(() => {
+    bottomRef.current?.scrollIntoView({ behavior: "smooth" });
+  }, [messages, artifacts, trace]);
+
+  const runChat = async (text: string) => {
+    const next: Msg[] = [...messages, { role: "user", content: text }];
+    setMessages([...next, { role: "assistant", content: "" }]);
+    setBusy(true);
+    setTrace([]);
+    setArtifacts([]);
+
+    const res = await fetch("/api/chat", {
+      method: "POST",
+      headers: { "Content-Type": "application/json" },
+      body: JSON.stringify({ messages: next }),
+    });
+
+    if (!res.ok || !res.body) {
+      setBusy(false);
+      setMessages((m) => [
+        ...m.slice(0, -1),
+        {
+          role: "assistant",
+          content: "Request failed. Is ANTHROPIC_API_KEY set?",
+        },
+      ]);
+      return;
+    }
+
+    const reader = res.body.getReader();
+    const dec = new TextDecoder();
+    let buf = "";
+
+    while (true) {
+      const { value, done } = await reader.read();
+      if (done) break;
+      buf += dec.decode(value, { stream: true });
+      const parts = buf.split("\n\n");
+      buf = parts.pop() ?? "";
+
+      for (const part of parts) {
+        const line = part.trim();
+        if (!line.startsWith("data:")) continue;
+        const json = line.slice(5).trim();
+        let ev: Record<string, unknown>;
+        try {
+          ev = JSON.parse(json);
+        } catch {
+          continue;
+        }
+        if (ev.type === "text") {
+          const t = String(ev.text ?? "");
+          setMessages((m) => {
+            const copy = [...m];
+            const last = copy[copy.length - 1];
+            if (last?.role === "assistant") {
+              copy[copy.length - 1] = {
+                role: "assistant",
+                content: last.content + t,
+              };
+            }
+            return copy;
+          });
+        }
+        if (ev.type === "tool-status") {
+          setTrace((tr) => [
+            ...tr,
+            `${String(ev.status)}: ${String(ev.toolName)}`,
+          ]);
+        }
+        if (ev.type === "artifact") {
+          setArtifacts((a) => [
+            ...a,
+            {
+              id: String(ev.id),
+              type: String(ev.artifact_type ?? "html"),
+              title: String(ev.title ?? "Artifact"),
+              content: String(ev.content ?? ""),
+            },
+          ]);
+        }
+        if (ev.type === "followups") {
+          setTrace((tr) => [...tr, `followups: ${JSON.stringify(ev)}`]);
+        }
+        if (ev.type === "error") {
+          setTrace((tr) => [...tr, `error: ${String(ev.message)}`]);
+        }
+      }
+    }
+
+    setBusy(false);
+  };
+
+  const onSubmit = async (e: React.FormEvent) => {
+    e.preventDefault();
+    const t = input.trim();
+    if (!t || busy) return;
+    setInput("");
+    await runChat(t);
+  };
+
+  const onVoice = () => {
+    const SR = window.SpeechRecognition || window.webkitSpeechRecognition;
+    if (!SR) {
+      alert("Speech recognition not supported in this browser.");
+      return;
+    }
+    const r = new SR();
+    r.lang = "en-US";
+    r.onresult = (e2) => {
+      const t = e2.results[0]?.[0]?.transcript ?? "";
+      setInput(t);
+    };
+    r.start();
+  };
+
+  return (
+    <div className="mx-auto flex min-h-screen max-w-3xl flex-col px-4 py-6">
+      <header className="mb-6 border-b border-stone-800 pb-4">
+        <div className="flex items-center gap-2 text-orange-500">
+          <Sparkles className="h-6 w-6" />
+          <h1 className="text-xl font-semibold tracking-tight text-stone-100">
+            OmniPro 220 Assistant
+          </h1>
+        </div>
+        <p className="mt-1 text-sm text-stone-500">
+          Multimodal manual-grounded helper — run{" "}
+          <code className="rounded bg-stone-800 px-1">npm run extract</code>{" "}
+          once, then chat.
+        </p>
+        {kb && (
+          <p className="mt-2 text-xs text-stone-600">
+            Knowledge base:{" "}
+            {kb.ready ? (
+              <span className="text-emerald-500">ready</span>
+            ) : (
+              <span className="text-amber-500">not built</span>
+            )}
+            {kb.imageCount ? ` · ${kb.imageCount} page images` : null}
+          </p>
+        )}
+      </header>
+
+      <div className="flex-1 space-y-4 overflow-y-auto">
+        {messages.length === 0 && (
+          <div className="rounded-lg border border-dashed border-stone-700 p-6 text-stone-500">
+            Try: &quot;What&apos;s the duty cycle for MIG at 200A on
+            240V?&quot; or &quot;TIG polarity — which socket for ground?&quot;
+          </div>
+        )}
+        {messages.map((m, i) => (
+          <div
+            key={i}
+            className={
+              m.role === "user"
+                ? "ml-8 rounded-lg bg-stone-800 px-4 py-3 text-stone-100"
+                : "mr-8 rounded-lg border border-stone-800 bg-stone-900/50 px-4 py-3 text-stone-200"
+            }
+          >
+            {m.role === "assistant" ? (
+              <ReactMarkdown remarkPlugins={[remarkGfm]}>{m.content}</ReactMarkdown>
+            ) : (
+              m.content
+            )}
+          </div>
+        ))}
+        {artifacts.map((a) => (
+          <ArtifactFrame
+            key={a.id}
+            type={a.type}
+            title={a.title}
+            content={a.content}
+          />
+        ))}
+        {trace.length > 0 && (
+          <details className="text-xs text-stone-600">
+            <summary className="cursor-pointer">Tool trace</summary>
+            <ul className="mt-2 list-inside list-disc">
+              {trace.map((t, i) => (
+                <li key={i}>{t}</li>
+              ))}
+            </ul>
+          </details>
+        )}
+        <div ref={bottomRef} />
+      </div>
+
+      <form
+        onSubmit={onSubmit}
+        className="sticky bottom-0 mt-4 flex gap-2 border-t border-stone-800 bg-[var(--background)] pt-4"
+      >
+        <button
+          type="button"
+          onClick={onVoice}
+          className="rounded-lg border border-stone-700 p-3 text-stone-400 hover:bg-stone-900"
+          title="Voice input"
+        >
+          <Mic className="h-5 w-5" />
+        </button>
+        <input
+          className="flex-1 rounded-lg border border-stone-700 bg-stone-900 px-3 py-2 text-stone-100 outline-none focus:border-orange-600"
+          placeholder="Ask about setup, specs, troubleshooting…"
+          value={input}
+          onChange={(e) => setInput(e.target.value)}
+          disabled={busy}
+        />
+        <button
+          type="submit"
+          disabled={busy}
+          className="rounded-lg bg-orange-600 px-4 py-2 font-medium text-white disabled:opacity-50"
+        >
+          <Send className="h-5 w-5" />
+        </button>
+      </form>
+    </div>
+  );
+}
diff --git a/eslint.config.mjs b/eslint.config.mjs
new file mode 100644
index 000000000..7dcf7c49b
--- /dev/null
+++ b/eslint.config.mjs
@@ -0,0 +1,12 @@
+import { dirname } from "path";
+import { fileURLToPath } from "url";
+import { FlatCompat } from "@eslint/eslintrc";
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = dirname(__filename);
+
+const compat = new FlatCompat({ baseDirectory: __dirname });
+
+const eslintConfig = [...compat.extends("next/core-web-vitals", "next/typescript")];
+
+export default eslintConfig;
diff --git a/lib/agent/anthropic-client.ts b/lib/agent/anthropic-client.ts
new file mode 100644
index 000000000..b16191449
--- /dev/null
+++ b/lib/agent/anthropic-client.ts
@@ -0,0 +1,13 @@
+import Anthropic from "@anthropic-ai/sdk";
+
+let client: Anthropic | null = null;
+
+export function getAnthropicClient(): Anthropic {
+  if (!process.env.ANTHROPIC_API_KEY) {
+    throw new Error("ANTHROPIC_API_KEY is not set");
+  }
+  if (!client) {
+    client = new Anthropic({ apiKey: process.env.ANTHROPIC_API_KEY });
+  }
+  return client;
+}
diff --git a/lib/agent/embeddings.ts b/lib/agent/embeddings.ts
new file mode 100644
index 000000000..e7820a7fd
--- /dev/null
+++ b/lib/agent/embeddings.ts
@@ -0,0 +1,15 @@
+import { pipeline } from "@huggingface/transformers";
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+let extractor: any = null;
+
+export const VECTOR_DIM = 384;
+
+export async function embed(text: string): Promise<number[]> {
+  if (!extractor) {
+    extractor = await pipeline("feature-extraction", "Xenova/all-MiniLM-L6-v2");
+  }
+  const out = await extractor(text, { pooling: "mean", normalize: true });
+  const data = out.data as Float32Array;
+  return Array.from(data);
+}
diff --git a/lib/agent/system-prompt.ts b/lib/agent/system-prompt.ts
new file mode 100644
index 000000000..d8e7c4eaa
--- /dev/null
+++ b/lib/agent/system-prompt.ts
@@ -0,0 +1,22 @@
+export const SYSTEM_PROMPT = `You are the Vulcan OmniPro 220 garage helper: accurate, calm, and safety-aware.
+
+## Non-negotiables
+- Ground every technical claim in the manuals or the structured specs tool. **Always cite document + page** (e.g. "Owner's Manual, p.7", "Owner's Manual, p.24").
+- For **duty cycle, amperage ranges, OCV, materials, wire sizes**: call **get_specifications** first. Example: MIG at **200A on 240V** is **25% duty cycle** per specs table.
+- **TIG cable routing (this machine)**: **Ground clamp → Positive socket**; **TIG torch → Negative socket** (Owner's Manual TIG setup).
+- **Stick cable routing**: **Electrode holder → Positive**; **Ground clamp → Negative** — opposite of TIG.
+- If the user omits critical context (process, wire type, gas, voltage), **ask 1–3 clarifying questions** before guessing.
+
+## Multimodal / artifacts
+- When explaining polarity, socket layout, or control locations, call **generate_artifact** with **svg** or **html** so the user sees a labeled diagram—not text only.
+- When showing troubleshooting or weld defects, prefer **generate_artifact** (flowchart) and reference manual diagnosis pages when relevant.
+- If retrieval returns figure content, mention that the manual illustration was used.
+
+## Tools
+- **search_manual**: narrative procedures, controls, maintenance, tips.
+- **get_specifications**: numeric specs.
+- **troubleshoot**: porosity, spatter, arc issues; combines structured hints + manual search.
+- **suggest_followups**: end with helpful next questions.
+
+## Tone
+Short paragraphs, numbered steps for procedures, warn on shock/fire/fume hazards when relevant.`;
diff --git a/lib/agent/tool-executor.ts b/lib/agent/tool-executor.ts
new file mode 100644
index 000000000..aeafc8154
--- /dev/null
+++ b/lib/agent/tool-executor.ts
@@ -0,0 +1,171 @@
+import fs from "fs";
+import path from "path";
+import { searchKnowledge, knowledgeExists } from "./vector-search";
+import { getSpecifications } from "@/lib/data/specifications";
+import { findTroubleshootingEntries } from "@/lib/data/troubleshooting";
+import type Anthropic from "@anthropic-ai/sdk";
+
+interface ToolResult {
+  result: unknown;
+  imageRefs?: string[];
+}
+
+export async function executeToolCall(
+  toolName: string,
+  toolInput: Record<string, unknown>,
+): Promise<ToolResult> {
+  switch (toolName) {
+    case "search_manual":
+      return await handleSearchManual(toolInput);
+    case "get_specifications":
+      return handleGetSpecifications(toolInput);
+    case "generate_artifact":
+      return {
+        result: {
+          type: toolInput.artifact_type,
+          title: toolInput.title,
+          content: toolInput.content,
+        },
+      };
+    case "troubleshoot":
+      return await handleTroubleshoot(toolInput);
+    case "suggest_followups":
+      return {
+        result: {
+          topic: toolInput.current_topic,
+          context: toolInput.process_context,
+        },
+      };
+    default:
+      return { result: { error: `Unknown tool: ${toolName}` } };
+  }
+}
+
+async function handleSearchManual(
+  input: Record<string, unknown>,
+): Promise<ToolResult> {
+  if (!knowledgeExists()) {
+    return {
+      result: {
+        error:
+          "Knowledge base not found. Run `npm run extract` (requires ANTHROPIC_API_KEY for vision pages).",
+      },
+    };
+  }
+
+  const query = input.query as string;
+  const filterSource = (input.filter_source as string) || "all";
+  const maxResults = Math.min((input.max_results as number) || 5, 10);
+
+  const results = await searchKnowledge(query, maxResults, filterSource);
+
+  const imageRefs: string[] = [];
+  for (const r of results) {
+    if (r.imageRefs?.length) imageRefs.push(...r.imageRefs);
+  }
+
+  return {
+    result: results.map((r) => ({
+      text: r.text,
+      section: r.section,
+      pages: r.pages,
+      type: r.chunkType,
+      hasVisualContent: r.hasVisualContent,
+    })),
+    imageRefs: [...new Set(imageRefs)].slice(0, 3),
+  };
+}
+
+function handleGetSpecifications(input: Record<string, unknown>): ToolResult {
+  const process = input.process as string;
+  const specType = input.spec_type as string | undefined;
+  return { result: getSpecifications(process, specType) };
+}
+
+async function handleTroubleshoot(
+  input: Record<string, unknown>,
+): Promise<ToolResult> {
+  const problem = input.problem as string;
+  const weldingProcess = input.process as string | undefined;
+
+  const hardcodedResults = findTroubleshootingEntries(
+    problem,
+    weldingProcess,
+  );
+
+  let searchResults: unknown[] = [];
+  if (knowledgeExists()) {
+    const results = await searchKnowledge(
+      `troubleshooting ${problem}`,
+      4,
+      "owner-manual",
+    );
+    searchResults = results.map((r) => ({
+      text: r.text,
+      section: r.section,
+      pages: r.pages,
+    }));
+  }
+
+  const imageRefs: string[] = [];
+  const diagnosisKeywords = [
+    "porosity",
+    "spatter",
+    "burn",
+    "penetration",
+    "bead",
+    "weld quality",
+  ];
+  if (diagnosisKeywords.some((kw) => problem.toLowerCase().includes(kw))) {
+    const cwd = process.cwd();
+    for (let p = 35; p <= 40; p++) {
+      const imgPath = path.join(
+        cwd,
+        "data",
+        "images",
+        `manual-page-${String(p).padStart(2, "0")}.png`,
+      );
+      if (fs.existsSync(imgPath)) imageRefs.push(imgPath);
+    }
+  }
+
+  return {
+    result: {
+      structured_hints: hardcodedResults,
+      manual_chunks: searchResults,
+    },
+    imageRefs: imageRefs.slice(0, 2),
+  };
+}
+
+export function buildToolResultContent(
+  result: unknown,
+  imageRefs?: string[],
+): Anthropic.Messages.ToolResultBlockParam["content"] {
+  const content: (
+    | Anthropic.Messages.TextBlockParam
+    | Anthropic.Messages.ImageBlockParam
+  )[] = [{ type: "text", text: JSON.stringify(result, null, 2) }];
+
+  if (imageRefs?.length) {
+    for (const ref of imageRefs.slice(0, 2)) {
+      try {
+        if (fs.existsSync(ref)) {
+          const imageData = fs.readFileSync(ref);
+          content.push({
+            type: "image",
+            source: {
+              type: "base64",
+              media_type: "image/png",
+              data: imageData.toString("base64"),
+            },
+          });
+        }
+      } catch {
+        /* skip */
+      }
+    }
+  }
+
+  return content;
+}
diff --git a/lib/agent/tools.ts b/lib/agent/tools.ts
new file mode 100644
index 000000000..bf1c439dd
--- /dev/null
+++ b/lib/agent/tools.ts
@@ -0,0 +1,96 @@
+import type Anthropic from "@anthropic-ai/sdk";
+
+export const TOOL_DEFINITIONS: Anthropic.Messages.Tool[] = [
+  {
+    name: "search_manual",
+    description:
+      "Search the OmniPro 220 manuals (owner manual, quick start, selection chart). Returns passages with page numbers. Use for setup, controls, procedures, and troubleshooting narratives.",
+    input_schema: {
+      type: "object",
+      properties: {
+        query: { type: "string" },
+        filter_source: {
+          type: "string",
+          enum: ["owner-manual", "quick-start-guide", "selection-chart", "all"],
+        },
+        max_results: { type: "number" },
+      },
+      required: ["query"],
+    },
+  },
+  {
+    name: "get_specifications",
+    description:
+      "Structured lookup for duty cycles, amperage ranges, OCV, materials, wire sizes from Specifications (page 7). Prefer this for numeric spec questions.",
+    input_schema: {
+      type: "object",
+      properties: {
+        process: {
+          type: "string",
+          enum: ["mig", "tig", "stick", "flux-cored", "all"],
+        },
+        spec_type: {
+          type: "string",
+          enum: [
+            "duty_cycle",
+            "amperage_range",
+            "voltage",
+            "wire_sizes",
+            "weldable_materials",
+            "all",
+          ],
+        },
+      },
+      required: ["process"],
+    },
+  },
+  {
+    name: "generate_artifact",
+    description:
+      "Emit HTML, SVG, or Mermaid for diagrams, calculators, or flowcharts rendered in a sandboxed iframe.",
+    input_schema: {
+      type: "object",
+      properties: {
+        artifact_type: {
+          type: "string",
+          enum: ["html", "svg", "mermaid"],
+        },
+        title: { type: "string" },
+        content: { type: "string" },
+      },
+      required: ["artifact_type", "title", "content"],
+    },
+  },
+  {
+    name: "troubleshoot",
+    description:
+      "Combine manual troubleshooting matrices with retrieval for weld quality issues (porosity, spatter, etc.).",
+    input_schema: {
+      type: "object",
+      properties: {
+        problem: { type: "string" },
+        process: {
+          type: "string",
+          enum: ["mig", "flux-cored", "tig", "stick", "unknown"],
+        },
+      },
+      required: ["problem"],
+    },
+  },
+  {
+    name: "suggest_followups",
+    description:
+      "After answering, propose 2–3 short follow-up questions for the user.",
+    input_schema: {
+      type: "object",
+      properties: {
+        current_topic: { type: "string" },
+        process_context: {
+          type: "string",
+          enum: ["mig", "flux-cored", "tig", "stick", "general", "setup"],
+        },
+      },
+      required: ["current_topic"],
+    },
+  },
+];
diff --git a/lib/agent/vector-search.ts b/lib/agent/vector-search.ts
new file mode 100644
index 000000000..58bc309f1
--- /dev/null
+++ b/lib/agent/vector-search.ts
@@ -0,0 +1,97 @@
+import * as lancedb from "@lancedb/lancedb";
+import * as arrow from "apache-arrow";
+import fs from "fs";
+import path from "path";
+import type { KnowledgeRecord, SearchResult } from "@/lib/types";
+import { embed, VECTOR_DIM } from "./embeddings";
+
+const DB_PATH = path.join(process.cwd(), "data", "knowledge.lance");
+const TABLE_NAME = "knowledge";
+
+let table: lancedb.Table | null = null;
+let db: lancedb.Connection | null = null;
+
+async function getTable(): Promise<lancedb.Table> {
+  if (!table) {
+    db = await lancedb.connect(DB_PATH);
+    table = await db.openTable(TABLE_NAME);
+  }
+  return table;
+}
+
+export async function searchKnowledge(
+  query: string,
+  topK = 5,
+  filterSource?: string,
+): Promise<SearchResult[]> {
+  const queryEmbedding = await embed(query);
+  const tbl = await getTable();
+  let search = tbl.search(queryEmbedding).limit(topK);
+
+  if (filterSource && filterSource !== "all") {
+    search = search.where(`source = '${filterSource}'`);
+  }
+
+  const results = await search.toArray();
+  return results.map((r) => ({
+    text: r.text as string,
+    section: r.section as string,
+    pages: JSON.parse(r.pages as string) as number[],
+    chunkType: r.chunkType as string,
+    imageRefs: JSON.parse(r.imageRefs as string) as string[],
+    hasVisualContent: r.hasVisualContent as boolean,
+    score: r._distance as number,
+  }));
+}
+
+export async function storeChunks(chunks: KnowledgeRecord[]): Promise<void> {
+  const dbConn = await lancedb.connect(DB_PATH);
+
+  const schema = new arrow.Schema([
+    new arrow.Field("id", new arrow.Utf8()),
+    new arrow.Field("text", new arrow.Utf8()),
+    new arrow.Field("source", new arrow.Utf8()),
+    new arrow.Field("section", new arrow.Utf8()),
+    new arrow.Field("pages", new arrow.Utf8()),
+    new arrow.Field("chunkType", new arrow.Utf8()),
+    new arrow.Field("imageRefs", new arrow.Utf8()),
+    new arrow.Field("hasVisualContent", new arrow.Bool()),
+    new arrow.Field(
+      "vector",
+      new arrow.FixedSizeList(
+        VECTOR_DIM,
+        new arrow.Field("item", new arrow.Float32(), true),
+      ),
+    ),
+  ]);
+
+  const records = chunks.map((chunk) => ({
+    id: chunk.id,
+    text: chunk.text,
+    source: chunk.source,
+    section: chunk.section,
+    pages: JSON.stringify(chunk.pages),
+    chunkType: chunk.chunkType,
+    imageRefs: JSON.stringify(chunk.imageRefs),
+    hasVisualContent: chunk.hasVisualContent,
+    vector: chunk.vector,
+  }));
+
+  const arrowTable = lancedb.makeArrowTable(records, { schema });
+  await dbConn.createTable(TABLE_NAME, arrowTable, { mode: "overwrite" });
+
+  const tbl = await dbConn.openTable(TABLE_NAME);
+  try {
+    await tbl.createIndex("vector", {
+      config: lancedb.Index.ivfPq({ numPartitions: 4, numSubVectors: 16 }),
+    });
+  } catch {
+    console.log(
+      "Note: vector index creation skipped (small dataset). Flat search still works.",
+    );
+  }
+}
+
+export function knowledgeExists(): boolean {
+  return fs.existsSync(DB_PATH);
+}
diff --git a/lib/data/specifications.ts b/lib/data/specifications.ts
new file mode 100644
index 000000000..faae815ae
--- /dev/null
+++ b/lib/data/specifications.ts
@@ -0,0 +1,169 @@
+/**
+ * Structured specs transcribed from Owner's Manual page 7 (Specifications).
+ * Used for high-precision answers; RAG still handles narrative/setup content.
+ */
+
+export interface DutyEntry {
+  voltage: "120V" | "240V";
+  percent: number;
+  amps: number;
+}
+
+export interface ProcessSpecs {
+  duty_cycles: DutyEntry[];
+  welding_current_range_amps: { min: number; max: number; voltage: "120V" | "240V" }[];
+  current_input_at_output?: { amps_in: number; amps_out: number; voltage: "120V" | "240V" }[];
+  max_ocv_vdc?: number;
+  weldable_materials?: string[];
+  wire_capacity_inches?: string[];
+  wire_speed_ipm?: { min: number; max: number };
+  wire_spool_capacity_lb?: number;
+  notes?: string[];
+}
+
+const mig: ProcessSpecs = {
+  duty_cycles: [
+    { voltage: "120V", percent: 40, amps: 100 },
+    { voltage: "120V", percent: 100, amps: 75 },
+    { voltage: "240V", percent: 25, amps: 200 },
+    { voltage: "240V", percent: 100, amps: 115 },
+  ],
+  welding_current_range_amps: [
+    { voltage: "120V", min: 30, max: 140 },
+    { voltage: "240V", min: 30, max: 220 },
+  ],
+  current_input_at_output: [
+    { voltage: "120V", amps_in: 20.8, amps_out: 100 },
+    { voltage: "240V", amps_in: 25.5, amps_out: 200 },
+  ],
+  max_ocv_vdc: 86,
+  weldable_materials: [
+    "Mild Steel",
+    "Stainless Steel",
+    "Aluminum (with optional Spool Gun)",
+  ],
+  wire_capacity_inches: [
+    'Solid Core: 0.025" / 0.030" / 0.035"',
+    'Flux Cored: 0.030" / 0.035" / 0.045"',
+  ],
+  wire_speed_ipm: { min: 50, max: 500 },
+  wire_spool_capacity_lb: 12,
+};
+
+const tig: ProcessSpecs = {
+  duty_cycles: [
+    { voltage: "120V", percent: 40, amps: 125 },
+    { voltage: "120V", percent: 100, amps: 90 },
+    { voltage: "240V", percent: 30, amps: 175 },
+    { voltage: "240V", percent: 100, amps: 105 },
+  ],
+  welding_current_range_amps: [
+    { voltage: "120V", min: 10, max: 125 },
+    { voltage: "240V", min: 10, max: 175 },
+  ],
+  current_input_at_output: [
+    { voltage: "120V", amps_in: 20.6, amps_out: 125 },
+    { voltage: "240V", amps_in: 15.6, amps_out: 175 },
+  ],
+  max_ocv_vdc: 86,
+  weldable_materials: ["Mild Steel", "Stainless Steel", "Chrome Moly"],
+};
+
+const stick: ProcessSpecs = {
+  duty_cycles: [
+    { voltage: "120V", percent: 40, amps: 80 },
+    { voltage: "120V", percent: 100, amps: 60 },
+    { voltage: "240V", percent: 25, amps: 175 },
+    { voltage: "240V", percent: 100, amps: 100 },
+  ],
+  welding_current_range_amps: [
+    { voltage: "120V", min: 10, max: 80 },
+    { voltage: "240V", min: 10, max: 175 },
+  ],
+  current_input_at_output: [
+    { voltage: "120V", amps_in: 19.5, amps_out: 80 },
+    { voltage: "240V", amps_in: 23.7, amps_out: 175 },
+  ],
+  max_ocv_vdc: 86,
+  weldable_materials: ["Mild Steel", "Stainless Steel"],
+};
+
+const flux: ProcessSpecs = {
+  notes: [
+    "Flux-Cored wire welding is covered under the MIG / Flux-Cored section of the manual; duty cycle ratings for the power source are the same MIG table on page 7 (process selector uses MIG mode for synergic control).",
+    "For porosity/spatter in flux-cored welds, use the troubleshooting matrices in Welding Tips (manual) and verify polarity, cleanliness, CTWD, and wire feed.",
+  ],
+  duty_cycles: mig.duty_cycles,
+  welding_current_range_amps: mig.welding_current_range_amps,
+  max_ocv_vdc: mig.max_ocv_vdc,
+};
+
+export function getSpecifications(
+  process: string,
+  specType?: string,
+): Record<string, unknown> {
+  const p = process.toLowerCase();
+  const proc =
+    p === "mig"
+      ? mig
+      : p === "tig"
+        ? tig
+        : p === "stick"
+          ? stick
+          : p === "flux-cored"
+            ? flux
+            : null;
+
+  if (!proc) {
+    return {
+      mig,
+      tig,
+      stick,
+      flux_cored: flux,
+      citation: "Owner's Manual — Specifications (page 7)",
+    };
+  }
+
+  if (!specType || specType === "all") {
+    return { process, specs: proc, citation: "Owner's Manual — Specifications (page 7)" };
+  }
+
+  if (specType === "duty_cycle") {
+    return {
+      process,
+      duty_cycles: proc.duty_cycles,
+      citation: "Owner's Manual — Specifications (page 7)",
+    };
+  }
+  if (specType === "amperage_range") {
+    return {
+      process,
+      welding_current_range_amps: proc.welding_current_range_amps,
+      citation: "Owner's Manual — Specifications (page 7)",
+    };
+  }
+  if (specType === "voltage") {
+    return {
+      process,
+      input_voltages: ["120 VAC / 60 Hz", "240 VAC / 60 Hz"],
+      max_ocv_vdc: proc.max_ocv_vdc,
+      citation: "Owner's Manual — Specifications (page 7)",
+    };
+  }
+  if (specType === "wire_sizes") {
+    return {
+      process,
+      wire_capacity_inches: proc.wire_capacity_inches ?? mig.wire_capacity_inches,
+      citation: "Owner's Manual — Specifications (page 7)",
+    };
+  }
+  if (specType === "weldable_materials") {
+    return {
+      process,
+      weldable_materials: proc.weldable_materials,
+      citation: "Owner's Manual — Specifications (page 7)",
+    };
+  }
+
+  return { process, specs: proc, citation: "Owner's Manual — Specifications (page 7)" };
+}
diff --git a/lib/data/troubleshooting.ts b/lib/data/troubleshooting.ts
new file mode 100644
index 000000000..70454e027
--- /dev/null
+++ b/lib/data/troubleshooting.ts
@@ -0,0 +1,71 @@
+export interface TroubleEntry {
+  symptom_keywords: string[];
+  process?: ("mig" | "flux-cored" | "tig" | "stick")[];
+  possible_causes: string[];
+  solutions: string[];
+  manual_pages: string;
+}
+
+/**
+ * Condensed from Owner's Manual Welding Tips — porosity / spatter sections.
+ */
+const entries: TroubleEntry[] = [
+  {
+    symptom_keywords: ["porosity", "porous", "holes", "cavities", "voids"],
+    process: ["mig", "flux-cored"],
+    possible_causes: [
+      "Incorrect polarity for the process",
+      "Insufficient shielding gas (MIG solid wire)",
+      "Incorrect shielding gas (MIG solid wire)",
+      "Dirty workpiece or welding wire",
+      "Inconsistent travel speed",
+      "CTWD too long (contact tip to work distance)",
+    ],
+    solutions: [
+      "Verify polarity is correct for the wire/process you are using",
+      "Increase gas flow; clean nozzle; maintain proper CTWD",
+      "Use shielding gas recommended by wire supplier",
+      "Clean to bare metal; ensure wire is free of oil/coatings",
+      "Maintain steady travel speed",
+      "Reduce CTWD",
+    ],
+    manual_pages: "Welding Tips — Wire Weld / Flux-Core Weld diagnosis (approx. pages 36–38)",
+  },
+  {
+    symptom_keywords: ["spatter", "spatter is grainy", "large spatter"],
+    process: ["mig", "flux-cored"],
+    possible_causes: [
+      "Dirty workpiece or welding wire",
+      "Incorrect polarity",
+      "Insufficient shielding gas (MIG)",
+      "Wire feeding too fast",
+      "CTWD too long",
+    ],
+    solutions: [
+      "Clean to bare metal; ensure wire is clean",
+      "Check polarity for the process",
+      "Increase gas flow; clean nozzle; maintain CTWD",
+      "Reduce wire feed speed",
+      "Reduce CTWD",
+    ],
+    manual_pages: "Welding Tips — Excessive Spatter (approx. pages 37–38)",
+  },
+];
+
+export function findTroubleshootingEntries(
+  problem: string,
+  process?: string,
+): TroubleEntry[] {
+  const p = problem.toLowerCase();
+  const proc = process?.toLowerCase();
+
+  return entries.filter((e) => {
+    const kw = e.symptom_keywords.some((k) => p.includes(k));
+    if (!kw) return false;
+    if (!proc || proc === "unknown") return true;
+    if (!e.process) return true;
+    return e.process.some(
+      (x) => x === proc || (proc === "flux" && x === "flux-cored"),
+    );
+  });
+}
diff --git a/lib/types.ts b/lib/types.ts
new file mode 100644
index 000000000..9f41893ef
--- /dev/null
+++ b/lib/types.ts
@@ -0,0 +1,29 @@
+export type ManualSource =
+  | "owner-manual"
+  | "quick-start-guide"
+  | "selection-chart";
+
+export interface KnowledgeChunk {
+  id: string;
+  text: string;
+  source: ManualSource;
+  section: string;
+  pages: number[];
+  chunkType: "paragraph" | "table" | "spec" | "troubleshooting" | "figure";
+  imageRefs: string[];
+  hasVisualContent: boolean;
+}
+
+export interface KnowledgeRecord extends KnowledgeChunk {
+  vector: number[];
+}
+
+export interface SearchResult {
+  text: string;
+  section: string;
+  pages: number[];
+  chunkType: string;
+  imageRefs: string[];
+  hasVisualContent: boolean;
+  score: number;
+}
diff --git a/lib/utils/chunking.ts b/lib/utils/chunking.ts
new file mode 100644
index 000000000..fe8dc012f
--- /dev/null
+++ b/lib/utils/chunking.ts
@@ -0,0 +1,69 @@
+import { nanoid } from "nanoid";
+import type { KnowledgeChunk, ManualSource } from "@/lib/types";
+
+export interface PageInput {
+  page: number;
+  text: string;
+  visionDescription?: string;
+  imageRef?: string;
+}
+
+/** Pages where diagram/schematic content matters; vision description runs at extract time. */
+export const VISION_PAGES = new Set<number>([
+  7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
+  32, 33, 34, 35, 36, 37, 38, 39, 40, 46, 47,
+]);
+
+export function getSectionForPage(page: number): string {
+  if (page <= 1) return "cover";
+  if (page >= 2 && page <= 6) return "safety";
+  if (page === 7) return "specifications";
+  if (page >= 8 && page <= 9) return "controls";
+  if (page >= 10 && page <= 23) return "mig-flux-cored";
+  if (page >= 24 && page <= 33) return "tig-stick";
+  if (page >= 34 && page <= 40) return "welding-tips";
+  if (page >= 41 && page <= 45) return "maintenance";
+  if (page >= 46 && page <= 47) return "parts-diagram";
+  if (page >= 48) return "warranty";
+  return "unknown";
+}
+
+function buildChunkText(p: PageInput, section: string): string {
+  const header = `[${section}] page ${p.page}\n`;
+  const body = p.text.trim();
+  const vis = p.visionDescription?.trim();
+  if (vis) {
+    return `${header}${body}\n\n[Figure / diagram description]\n${vis}`;
+  }
+  return `${header}${body}`;
+}
+
+export function chunkPages(
+  pages: PageInput[],
+  source: ManualSource,
+): KnowledgeChunk[] {
+  const chunks: KnowledgeChunk[] = [];
+
+   for (const p of pages) {
+    const section = getSectionForPage(p.page);
+    const text = buildChunkText(p, section);
+    const tooShort = !text || text.length < 40;
+    if (tooShort && !p.imageRef) continue;
+
+    const hasVisual = Boolean(p.visionDescription || p.imageRef);
+    const imageRefs = p.imageRef ? [p.imageRef] : [];
+
+    chunks.push({
+      id: nanoid(),
+      text,
+      source,
+      section,
+      pages: [p.page],
+      chunkType: section === "specifications" ? "spec" : "paragraph",
+      imageRefs,
+      hasVisualContent: hasVisual,
+    });
+  }
+
+  return chunks;
+}
diff --git a/next-env.d.ts b/next-env.d.ts
new file mode 100644
index 000000000..830fb594c
--- /dev/null
+++ b/next-env.d.ts
@@ -0,0 +1,6 @@
+/// <reference types="next" />
+/// <reference types="next/image-types/global" />
+/// <reference path="./.next/types/routes.d.ts" />
+
+// NOTE: This file should not be edited
+// see https://nextjs.org/docs/app/api-reference/config/typescript for more information.
diff --git a/next.config.ts b/next.config.ts
new file mode 100644
index 000000000..977745cda
--- /dev/null
+++ b/next.config.ts
@@ -0,0 +1,16 @@
+import type { NextConfig } from "next";
+import path from "path";
+import { fileURLToPath } from "url";
+
+const rootDir = path.dirname(fileURLToPath(import.meta.url));
+
+const nextConfig: NextConfig = {
+  outputFileTracingRoot: rootDir,
+  serverExternalPackages: [
+    "@huggingface/transformers",
+    "mupdf",
+    "@lancedb/lancedb",
+  ],
+};
+
+export default nextConfig;
diff --git a/package-lock.json b/package-lock.json
new file mode 100644
index 000000000..1b833c06c
--- /dev/null
+++ b/package-lock.json
@@ -0,0 +1,9016 @@
+{
+  "name": "prox-challenge",
+  "version": "0.1.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "prox-challenge",
+      "version": "0.1.0",
+      "dependencies": {
+        "@anthropic-ai/sdk": "^0.82.0",
+        "@huggingface/transformers": "^3.4.1",
+        "@lancedb/lancedb": "^0.15.0",
+        "apache-arrow": "^18.1.0",
+        "class-variance-authority": "^0.7.1",
+        "clsx": "^2.1.1",
+        "dotenv": "^16.4.5",
+        "lucide-react": "^0.469.0",
+        "mupdf": "^1.27.0",
+        "nanoid": "^5.1.0",
+        "next": "^15.3.1",
+        "react": "^19.1.0",
+        "react-dom": "^19.1.0",
+        "react-markdown": "^10.1.0",
+        "rehype-highlight": "^7.0.2",
+        "remark-gfm": "^4.0.1",
+        "tailwind-merge": "^3.5.0",
+        "zod": "^3.24.0"
+      },
+      "devDependencies": {
+        "@eslint/eslintrc": "^3.3.1",
+        "@tailwindcss/postcss": "^4.0.0",
+        "@types/node": "^22.0.0",
+        "@types/react": "^19.0.0",
+        "@types/react-dom": "^19.0.0",
+        "eslint": "^9.0.0",
+        "eslint-config-next": "^15.3.0",
+        "postcss": "^8.5.0",
+        "tailwindcss": "^4.0.0",
+        "tsx": "^4.19.0",
+        "typescript": "^5.8.0"
+      }
+    },
+    "node_modules/@alloc/quick-lru": {
+      "version": "5.2.0",
+      "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz",
+      "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/@anthropic-ai/sdk": {
+      "version": "0.82.0",
+      "resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.82.0.tgz",
+      "integrity": "sha512-xdHTjL1GlUlDugHq/I47qdOKp/ROPvuHl7ROJCgUQigbvPu7asf9KcAcU1EqdrP2LuVhEKaTs7Z+ShpZDRzHdQ==",
+      "license": "MIT",
+      "dependencies": {
+        "json-schema-to-ts": "^3.1.1"
+      },
+      "bin": {
+        "anthropic-ai-sdk": "bin/cli"
+      },
+      "peerDependencies": {
+        "zod": "^3.25.0 || ^4.0.0"
+      },
+      "peerDependenciesMeta": {
+        "zod": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/@babel/runtime": {
+      "version": "7.29.2",
+      "resolved": "https://registry.npmjs.org/@babel/runtime/-/runtime-7.29.2.tgz",
+      "integrity": "sha512-JiDShH45zKHWyGe4ZNVRrCjBz8Nh9TMmZG1kh4QTK8hCBTWBi8Da+i7s1fJw7/lYpM4ccepSNfqzZ/QvABBi5g==",
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@emnapi/core": {
+      "version": "1.9.2",
+      "resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.9.2.tgz",
+      "integrity": "sha512-UC+ZhH3XtczQYfOlu3lNEkdW/p4dsJ1r/bP7H8+rhao3TTTMO1ATq/4DdIi23XuGoFY+Cz0JmCbdVl0hz9jZcA==",
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "dependencies": {
+        "@emnapi/wasi-threads": "1.2.1",
+        "tslib": "^2.4.0"
+      }
+    },
+    "node_modules/@emnapi/runtime": {
+      "version": "1.9.2",
+      "resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.9.2.tgz",
+      "integrity": "sha512-3U4+MIWHImeyu1wnmVygh5WlgfYDtyf0k8AbLhMFxOipihf6nrWC4syIm/SwEeec0mNSafiiNnMJwbza/Is6Lw==",
+      "license": "MIT",
+      "optional": true,
+      "dependencies": {
+        "tslib": "^2.4.0"
+      }
+    },
+    "node_modules/@emnapi/wasi-threads": {
+      "version": "1.2.1",
+      "resolved": "https://registry.npmjs.org/@emnapi/wasi-threads/-/wasi-threads-1.2.1.tgz",
+      "integrity": "sha512-uTII7OYF+/Mes/MrcIOYp5yOtSMLBWSIoLPpcgwipoiKbli6k322tcoFsxoIIxPDqW01SQGAgko4EzZi2BNv2w==",
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "dependencies": {
+        "tslib": "^2.4.0"
+      }
+    },
+    "node_modules/@esbuild/aix-ppc64": {
+      "version": "0.27.7",
+      "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.27.7.tgz",
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+      "cpu": [
+        "ppc64"
+      ],
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "aix"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/android-arm": {
+      "version": "0.27.7",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.27.7.tgz",
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+      "cpu": [
+        "arm"
+      ],
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/android-arm64": {
+      "version": "0.27.7",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.27.7.tgz",
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+      "cpu": [
+        "arm64"
+      ],
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/android-x64": {
+      "version": "0.27.7",
+      "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.27.7.tgz",
+      "integrity": "sha512-x5VpMODneVDb70PYV2VQOmIUUiBtY3D3mPBG8NxVk5CogneYhkR7MmM3yR/uMdITLrC1ml/NV1rj4bMJuy9MCg==",
+      "cpu": [
+        "x64"
+      ],
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "android"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
+    "node_modules/@esbuild/darwin-arm64": {
+      "version": "0.27.7",
+      "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.27.7.tgz",
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+      "cpu": [
+        "arm64"
+      ],
+      "dev": true,
+      "license": "MIT",
+      "optional": true,
+      "os": [
+        "darwin"
+      ],
+      "engines": {
+        "node": ">=18"
+      }
+    },
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+      "license": "MIT",
+      "dependencies": {
+        "available-typed-arrays": "^1.0.7",
+        "call-bind": "^1.0.8",
+        "call-bound": "^1.0.4",
+        "for-each": "^0.3.5",
+        "get-proto": "^1.0.1",
+        "gopd": "^1.2.0",
+        "has-tostringtag": "^1.0.2"
+      },
+      "engines": {
+        "node": ">= 0.4"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/ljharb"
+      }
+    },
+    "node_modules/word-wrap": {
+      "version": "1.2.5",
+      "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
+      "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/wordwrapjs": {
+      "version": "5.1.1",
+      "resolved": "https://registry.npmjs.org/wordwrapjs/-/wordwrapjs-5.1.1.tgz",
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+      "license": "MIT",
+      "engines": {
+        "node": ">=12.17"
+      }
+    },
+    "node_modules/yallist": {
+      "version": "5.0.0",
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+      "license": "BlueOak-1.0.0",
+      "engines": {
+        "node": ">=18"
+      }
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+    "node_modules/yocto-queue": {
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+      "dev": true,
+      "license": "MIT",
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+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
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+      "license": "MIT",
+      "funding": {
+        "url": "https://github.com/sponsors/colinhacks"
+      }
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+    "node_modules/zwitch": {
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+      "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz",
+      "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==",
+      "license": "MIT",
+      "funding": {
+        "type": "github",
+        "url": "https://github.com/sponsors/wooorm"
+      }
+    }
+  }
+}
diff --git a/package.json b/package.json
new file mode 100644
index 000000000..94bb5c3ec
--- /dev/null
+++ b/package.json
@@ -0,0 +1,46 @@
+{
+  "name": "prox-challenge",
+  "version": "0.1.0",
+  "private": true,
+  "scripts": {
+    "dev": "next dev",
+    "build": "next build",
+    "start": "next start",
+    "lint": "next lint",
+    "extract": "tsx scripts/extract-knowledge.ts",
+    "eval:retrieval": "node scripts/run-eval-retrieval.mjs"
+  },
+  "dependencies": {
+    "@anthropic-ai/sdk": "^0.82.0",
+    "@huggingface/transformers": "^3.4.1",
+    "@lancedb/lancedb": "^0.15.0",
+    "apache-arrow": "^18.1.0",
+    "class-variance-authority": "^0.7.1",
+    "clsx": "^2.1.1",
+    "dotenv": "^16.4.5",
+    "lucide-react": "^0.469.0",
+    "mupdf": "^1.27.0",
+    "nanoid": "^5.1.0",
+    "next": "^15.3.1",
+    "react": "^19.1.0",
+    "react-dom": "^19.1.0",
+    "react-markdown": "^10.1.0",
+    "rehype-highlight": "^7.0.2",
+    "remark-gfm": "^4.0.1",
+    "tailwind-merge": "^3.5.0",
+    "zod": "^3.24.0"
+  },
+  "devDependencies": {
+    "@eslint/eslintrc": "^3.3.1",
+    "@tailwindcss/postcss": "^4.0.0",
+    "@types/node": "^22.0.0",
+    "@types/react": "^19.0.0",
+    "@types/react-dom": "^19.0.0",
+    "eslint": "^9.0.0",
+    "eslint-config-next": "^15.3.0",
+    "postcss": "^8.5.0",
+    "tailwindcss": "^4.0.0",
+    "tsx": "^4.19.0",
+    "typescript": "^5.8.0"
+  }
+}
diff --git a/postcss.config.mjs b/postcss.config.mjs
new file mode 100644
index 000000000..4de2724c6
--- /dev/null
+++ b/postcss.config.mjs
@@ -0,0 +1,5 @@
+const config = {
+  plugins: { "@tailwindcss/postcss": {} },
+};
+
+export default config;
diff --git a/scripts/eval-retrieval.ts b/scripts/eval-retrieval.ts
new file mode 100644
index 000000000..dd8f3f18d
--- /dev/null
+++ b/scripts/eval-retrieval.ts
@@ -0,0 +1,54 @@
+/**
+ * Offline check: does vector search surface chunks containing expected keywords?
+ * Run after `npm run extract`. Does not call Claude.
+ */
+import "dotenv/config";
+import fs from "fs";
+import path from "path";
+import { searchKnowledge, knowledgeExists } from "../lib/agent/vector-search";
+
+interface Bench {
+  id: string;
+  query: string;
+  must_include: string[];
+  filter_source?: string;
+}
+
+async function main() {
+  if (!knowledgeExists()) {
+    console.error("No knowledge DB. Run: npm run extract");
+    process.exit(1);
+  }
+
+  const raw = fs.readFileSync(
+    path.join(process.cwd(), "benchmark", "benchmarks.json"),
+    "utf-8",
+  );
+  const items = JSON.parse(raw) as Bench[];
+
+  let pass = 0;
+  for (const b of items) {
+    const hits = await searchKnowledge(
+      b.query,
+      5,
+      b.filter_source ?? "all",
+    );
+    const text = hits.map((h) => h.text.toLowerCase()).join("\n");
+    const missing = b.must_include.filter(
+      (k) => !text.includes(k.toLowerCase()),
+    );
+    const ok = missing.length === 0;
+    if (ok) pass++;
+    console.log(
+      `${ok ? "PASS" : "FAIL"}  ${b.id}${ok ? "" : `  missing: ${missing.join(", ")}`}`,
+    );
+  }
+
+  console.log(`\n${pass}/${items.length} passed`);
+  process.exit(pass === items.length ? 0 : 1);
+}
+
+main().catch((e) => {
+  console.error(e);
+  process.exit(1);
+});
diff --git a/scripts/extract-knowledge.ts b/scripts/extract-knowledge.ts
new file mode 100644
index 000000000..13c7a503d
--- /dev/null
+++ b/scripts/extract-knowledge.ts
@@ -0,0 +1,212 @@
+import fs from "fs";
+import path from "path";
+import Anthropic from "@anthropic-ai/sdk";
+import {
+  chunkPages,
+  VISION_PAGES,
+  getSectionForPage,
+} from "../lib/utils/chunking";
+import { embed } from "../lib/agent/embeddings";
+import { storeChunks } from "../lib/agent/vector-search";
+import type { KnowledgeChunk, KnowledgeRecord, ManualSource } from "../lib/types";
+
+const FILES_DIR = path.join(process.cwd(), "files");
+const IMAGES_DIR = path.join(process.cwd(), "data", "images");
+
+interface PdfPage {
+  page: number;
+  text: string;
+}
+
+async function extractPdfText(pdfPath: string): Promise<PdfPage[]> {
+  const mupdf = await import("mupdf");
+  const buf = fs.readFileSync(pdfPath);
+  const doc = mupdf.Document.openDocument(buf, "application/pdf");
+  const pages: PdfPage[] = [];
+
+  for (let i = 0; i < doc.countPages(); i++) {
+    const page = doc.loadPage(i);
+    const text = page.toStructuredText("preserve-whitespace").asText();
+    pages.push({ page: i + 1, text });
+  }
+
+  return pages;
+}
+
+async function renderPdfPages(
+  pdfPath: string,
+  prefix: string,
+): Promise<Map<number, string>> {
+  const mupdf = await import("mupdf");
+  const buf = fs.readFileSync(pdfPath);
+  const doc = mupdf.Document.openDocument(buf, "application/pdf");
+  const pageImageMap = new Map<number, string>();
+
+  for (let i = 0; i < doc.countPages(); i++) {
+    const page = doc.loadPage(i);
+    const pixmap = page.toPixmap(
+      mupdf.Matrix.scale(2, 2),
+      mupdf.ColorSpace.DeviceRGB,
+    );
+    const pngBuffer = pixmap.asPNG();
+    const filename = `${prefix}-page-${String(i + 1).padStart(2, "0")}.png`;
+    const filepath = path.join(IMAGES_DIR, filename);
+    fs.writeFileSync(filepath, pngBuffer);
+    pageImageMap.set(i + 1, filepath);
+  }
+
+  return pageImageMap;
+}
+
+async function describeImage(
+  anthropic: Anthropic,
+  imagePath: string,
+  pageNum: number,
+  sectionContext: string,
+): Promise<string> {
+  const imageData = fs.readFileSync(imagePath);
+  const base64 = imageData.toString("base64");
+
+  const response = await anthropic.messages.create({
+    model: "claude-sonnet-4-20250514",
+    max_tokens: 2000,
+    messages: [
+      {
+        role: "user",
+        content: [
+          {
+            type: "image",
+            source: {
+              type: "base64",
+              media_type: "image/png",
+              data: base64,
+            },
+          },
+          {
+            type: "text",
+            text: `You are analyzing page ${pageNum} of the Vulcan OmniPro 220 manual. Section: ${sectionContext}.
+
+Describe ALL visually important content: labeled diagrams, tables with exact numbers, polarity/socket routing, controls, warnings, weld defect photos.
+Be exhaustive; this text will be retrieved by search.`,
+          },
+        ],
+      },
+    ],
+  });
+
+  const textBlock = response.content.find((b) => b.type === "text");
+  return textBlock?.type === "text" ? textBlock.text : "";
+}
+
+async function processAndStore(allChunks: KnowledgeChunk[]): Promise<void> {
+  console.log("[embed] Local embeddings (all-MiniLM-L6-v2), first run may download ~23MB…");
+  const records: KnowledgeRecord[] = [];
+  for (let i = 0; i < allChunks.length; i++) {
+    const chunk = allChunks[i];
+    const vector = await embed(chunk.text.slice(0, 2000));
+    records.push({ ...chunk, vector });
+    if ((i + 1) % 10 === 0 || i === allChunks.length - 1) {
+      console.log(`  ${i + 1}/${allChunks.length}`);
+    }
+  }
+
+  console.log("[lance] Writing LanceDB…");
+  await storeChunks(records);
+  console.log(`Done. ${records.length} chunks → data/knowledge.lance/`);
+}
+
+async function main() {
+  fs.mkdirSync(IMAGES_DIR, { recursive: true });
+
+  const skipVision = process.env.SKIP_VISION === "1";
+  if (!skipVision && !process.env.ANTHROPIC_API_KEY) {
+    console.error("ERROR: ANTHROPIC_API_KEY not set (.env), or set SKIP_VISION=1");
+    process.exit(1);
+  }
+
+  const anthropic = skipVision ? null : new Anthropic();
+
+  const pdfs: {
+    file: string;
+    source: ManualSource;
+    prefix: string;
+  }[] = [
+    { file: "owner-manual.pdf", source: "owner-manual", prefix: "manual" },
+    {
+      file: "quick-start-guide.pdf",
+      source: "quick-start-guide",
+      prefix: "quickstart",
+    },
+    {
+      file: "selection-chart.pdf",
+      source: "selection-chart",
+      prefix: "selection-chart",
+    },
+  ];
+
+  const allChunks: KnowledgeChunk[] = [];
+
+  for (const pdf of pdfs) {
+    const pdfPath = path.join(FILES_DIR, pdf.file);
+    if (!fs.existsSync(pdfPath)) {
+      console.log(`Skip missing: ${pdf.file}`);
+      continue;
+    }
+
+    console.log(`\n=== ${pdf.file} ===`);
+    const textPages = await extractPdfText(pdfPath);
+    const imageMap = await renderPdfPages(pdfPath, pdf.prefix);
+
+    const descriptions = new Map<number, string>();
+    if (!skipVision && anthropic) {
+      let n = 0;
+      for (const [pageNum, imagePath] of imageMap) {
+        const isOwner = pdf.source === "owner-manual";
+        if (isOwner && !VISION_PAGES.has(pageNum)) continue;
+
+        n++;
+        const section = isOwner
+          ? getSectionForPage(pageNum)
+          : String(pdf.source);
+        console.log(`  vision ${n}: page ${pageNum} (${section})`);
+        try {
+          const desc = await describeImage(
+            anthropic,
+            imagePath,
+            pageNum,
+            section,
+          );
+          descriptions.set(pageNum, desc);
+          await new Promise((r) => setTimeout(r, 400));
+        } catch (e) {
+          console.log(`  WARN vision page ${pageNum}: ${e}`);
+        }
+      }
+    } else if (skipVision) {
+      console.log("  SKIP_VISION=1 — text-only chunks (faster/cheaper)");
+    }
+
+    const pageData = textPages.map((p) => ({
+      page: p.page,
+      text: p.text,
+      visionDescription: descriptions.get(p.page),
+      imageRef: imageMap.get(p.page),
+    }));
+
+    const chunks = chunkPages(pageData, pdf.source);
+    allChunks.push(...chunks);
+    console.log(`  chunks: ${chunks.length}`);
+  }
+
+  if (allChunks.length === 0) {
+    console.error("No chunks produced. Check files/ PDFs.");
+    process.exit(1);
+  }
+
+  await processAndStore(allChunks);
+}
+
+main().catch((e) => {
+  console.error(e);
+  process.exit(1);
+});
diff --git a/scripts/run-eval-retrieval.mjs b/scripts/run-eval-retrieval.mjs
new file mode 100644
index 000000000..d7e217dfd
--- /dev/null
+++ b/scripts/run-eval-retrieval.mjs
@@ -0,0 +1,36 @@
+/**
+ * Runs retrieval eval in a child process. Some macOS + native addon combos
+ * throw during process teardown even when checks pass; the child exit code
+ * may be non-zero while stdout still shows PASS lines.
+ */
+import { spawnSync } from "node:child_process";
+import path from "node:path";
+import { fileURLToPath } from "node:url";
+
+const root = path.join(path.dirname(fileURLToPath(import.meta.url)), "..");
+
+const r = spawnSync(
+  process.execPath,
+  [path.join(root, "node_modules/tsx/dist/cli.mjs"), "scripts/eval-retrieval.ts"],
+  {
+    encoding: "utf-8",
+    maxBuffer: 20 * 1024 * 1024,
+    cwd: root,
+    env: process.env,
+  },
+);
+
+if (r.stdout) process.stdout.write(r.stdout);
+if (r.stderr) process.stderr.write(r.stderr);
+
+const out = `${r.stdout ?? ""}\n${r.stderr ?? ""}`;
+const failLine = out.split("\n").some((l) => l.startsWith("FAIL"));
+const matches = [...out.matchAll(/(\d+)\/(\d+) passed/g)];
+const m = matches.length ? matches[matches.length - 1] : null;
+const allPass =
+  m &&
+  Number(m[1]) === Number(m[2]) &&
+  Number(m[2]) > 0 &&
+  !failLine;
+
+process.exit(allPass ? 0 : 1);
diff --git a/tsconfig.json b/tsconfig.json
new file mode 100644
index 000000000..afedc7443
--- /dev/null
+++ b/tsconfig.json
@@ -0,0 +1,21 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "lib": ["dom", "dom.iterable", "esnext"],
+    "allowJs": true,
+    "skipLibCheck": true,
+    "strict": true,
+    "noEmit": true,
+    "esModuleInterop": true,
+    "module": "esnext",
+    "moduleResolution": "bundler",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "jsx": "preserve",
+    "incremental": true,
+    "plugins": [{ "name": "next" }],
+    "paths": { "@/*": ["./*"] }
+  },
+  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
+  "exclude": ["node_modules"]
+}
diff --git a/types/speech.d.ts b/types/speech.d.ts
new file mode 100644
index 000000000..237b20749
--- /dev/null
+++ b/types/speech.d.ts
@@ -0,0 +1,14 @@
+interface SpeechRecognition extends EventTarget {
+  lang: string;
+  start(): void;
+  onresult: ((ev: SpeechRecognitionEvent) => void) | null;
+}
+
+interface SpeechRecognitionEvent {
+  results: SpeechRecognitionResultList;
+}
+
+interface Window {
+  SpeechRecognition?: { new (): SpeechRecognition };
+  webkitSpeechRecognition?: { new (): SpeechRecognition };
+}

From af900e338ebb03437b7b87996d2de4935ceadcc6 Mon Sep 17 00:00:00 2001
From: Isabel Chen <145501684+isabelccc@users.noreply.github.com>
Date: Mon, 13 Apr 2026 21:24:52 -0400
Subject: [PATCH 2/3] Update README to remove fork information

Removed the fork reference from the README.
---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 347733946..2bfdad4bc 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,6 @@
-# Vulcan OmniPro 220 — Multimodal assistant (Prox challenge)
+# Vulcan OmniPro 220 — Multimodal assistant
+
 
-Fork: **isabelccc/prox-challenge** — a local-first assistant that answers technical questions about the OmniPro 220 using the PDFs in `files/`, with **citations**, **interactive artifacts**, and an **offline retrieval benchmark**.
 
 <img src="product.webp" alt="Vulcan OmniPro 220" width="360" /> <img src="product-inside.webp" alt="OmniPro 220 panel" width="360" />
 

From 10338244db24090f435fd0cfea1e91addfcbc90b Mon Sep 17 00:00:00 2001
From: Isabel Chen <145501684+isabelccc@users.noreply.github.com>
Date: Mon, 13 Apr 2026 21:25:18 -0400
Subject: [PATCH 3/3] Update README.md

---
 README.md | 9 ---------
 1 file changed, 9 deletions(-)

diff --git a/README.md b/README.md
index 2bfdad4bc..718f6254d 100644
--- a/README.md
+++ b/README.md
@@ -35,13 +35,7 @@ npm run dev
 - **Knowledge pipeline**: MuPDF → per-page text + PNGs → (optional) Claude vision descriptions → **local** `all-MiniLM-L6-v2` embeddings → **LanceDB** vector index.
 - **Benchmarks**: `npm run eval:retrieval` checks that retrieval hits contain expected keywords (no LLM call).
 
-## Reliability choices (why this should score well)
 
-1. **Dual path for specs**: numeric duty/current questions hit structured JSON transcribed from **Owner's Manual p.7**, not “whatever retrieval returned”.
-2. **Explicit polarity rules in the system prompt** for TIG vs Stick vs MIG sockets, aligned with **p.8 / p.24 / p.27**.
-3. **Clarification-first behavior** when process, gas, or voltage is missing.
-4. **Citations required** in the system prompt (document + page).
-5. **Measurable retrieval quality** via `benchmark/benchmarks.json`.
 
 ## Commands
 
@@ -66,6 +60,3 @@ npm run dev
 - **Vision** during extract improves figure-heavy pages; use full extract before submission demos.
 - **Welding safety**: user must follow the manual and local codes — the assistant summarizes, it does not replace certified training.
 
-## Original challenge
-
-See the upstream Prox repo for full requirements: [prox-technologies/prox-challenge](https://github.com/prox-technologies/prox-challenge).