feat: wire frontend to real API, ship plots, multi-stage Docker build

Frontend (React + Vite)
- Add to git (was untracked); .gitignore excludes node_modules/ and dist/
- App.jsx now calls real backend endpoints:
- GET /api/attack-types → populates attack-type grid
- GET /api/stats → drives hero badges (real numbers, no claims)
- GET /api/highlight → hero animation payload preview
- POST /api/attack → fetches the real trace JSON
- timeline events from the trace drive the pipeline animation
- outcome.broke_pg2 / broke_fw / task_succeeded / blocked_at drive the
success / failure card (no more hardcoded "300 steps = success")
- Plot dashboard now renders /plots/*.png from the FastAPI server (with
a stats summary card backed by /api/stats)
- vite.config.js: dev proxy to :7860 for /api, /plots, /health

Backend
- env/server.py: serves frontend/dist/ when present (StaticFiles with
html=True for SPA + an /assets mount for Vite chunks); falls back to
source dir or JSON index when the frontend hasn't been built

Docker
- Multi-stage build: stage 1 builds the Vite frontend with node:20, stage 2
copies dist/ into the Python image
- .dockerignore prevents node_modules from being sent to the daemon

Plots
- scripts/plots_from_traces.py generates bypass_bars / per_category /
reward_curve from the 24 committed trace JSONs (no Drive needed)
- Real numbers committed to docs/plots/

Honesty
- Hero copy and badges now reflect actual trace stats
(PG2 92% / FW 100% across 24 traces, 0% composed) — no overclaiming

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

.dockerignore

@@ -0,0 +1,13 @@
+.venv
+venv
+__pycache__
+*.pyc
+.git
+.pytest_cache
+.mypy_cache
+.ruff_cache
+frontend/node_modules
+frontend/dist
+*.egg-info
+notebooks/cell-*-output.md
+.DS_Store

.gitignore

@@ -41,3 +41,10 @@ wandb/
 # HF / model cache
 .hf_cache/
 .cache/
+
+# Frontend (Vite/React)
+frontend/node_modules/
+frontend/dist/
+frontend/.vite/
+frontend/*.local
+npm-debug.log*

Dockerfile

@@ -1,23 +1,41 @@
+# ---------------------------------------------------------------------------
+# Stage 1 — build the React/Vite frontend
+# ---------------------------------------------------------------------------
+FROM node:20-slim AS frontend-build
+
+WORKDIR /build/frontend
+COPY frontend/package.json frontend/package-lock.json* ./
+RUN npm ci --no-audit --no-fund
+
+COPY frontend/ ./
+RUN npm run build
+
+
+# ---------------------------------------------------------------------------
+# Stage 2 — Python runtime serving FastAPI + the built frontend
+# ---------------------------------------------------------------------------
 FROM python:3.11-slim
 
 WORKDIR /app
 
-# Base OS deps
 RUN apt-get update && apt-get install -y --no-install-recommends \
     git curl \
     && rm -rf /var/lib/apt/lists/*
 
+# Copy the source tree (excluding node_modules via .dockerignore) and install
+# CPU-only Python deps. [gpu] extras are intentionally skipped so the image
+# stays small enough for the free Spaces tier.
 COPY . .
-
-# CPU-only deps. Excludes [gpu] so the image stays small enough for free Spaces.
 RUN pip install --no-cache-dir -e ".[demo]"
 
-# HF Spaces / replay-mode defaults: no GPU, no model downloads, traces baked in.
+# Copy the built frontend from stage 1 into frontend/dist/.
+COPY --from=frontend-build /build/frontend/dist ./frontend/dist
+
+# Replay-mode defaults for HF Spaces: traces baked in, no GPU required.
 ENV USE_STUB_DEFENSES=true
 ENV INJECTARENA_MODE=replay
 ENV PYTHONUNBUFFERED=1
 
-# Hugging Face Spaces uses port 7860.
 EXPOSE 7860
 
 CMD ["uvicorn", "env.server:app", "--host", "0.0.0.0", "--port", "7860"]

env/server.py

@@ -293,20 +293,34 @@ def _sse(payload: dict) -> bytes:
 # Static frontend (mounted last so /api/* takes precedence)
 # ---------------------------------------------------------------------------
 
-_FRONTEND_DIR = Path(__file__).resolve().parent.parent / "frontend"
-_PLOTS_DIR = Path(__file__).resolve().parent.parent / "docs" / "plots"
+_REPO_ROOT = Path(__file__).resolve().parent.parent
+# Vite outputs to frontend/dist/. The dev source tree (frontend/) is fall-back
+# only — useful when an unbuilt frontend is mounted in a development container.
+_FRONTEND_DIST = _REPO_ROOT / "frontend" / "dist"
+_FRONTEND_SRC = _REPO_ROOT / "frontend"
+_PLOTS_DIR = _REPO_ROOT / "docs" / "plots"
 
 if _PLOTS_DIR.exists():
     app.mount("/plots", StaticFiles(directory=_PLOTS_DIR), name="plots")
 
-if _FRONTEND_DIR.exists() and (_FRONTEND_DIR / "index.html").exists():
-    # Static assets (CSS/JS) live under /static/...
-    assets_dir = _FRONTEND_DIR
-    app.mount("/static", StaticFiles(directory=assets_dir), name="static")
+if (_FRONTEND_DIST / "index.html").exists():
+    # Vite build output: assets are referenced as /assets/... from index.html.
+    app.mount("/assets", StaticFiles(directory=_FRONTEND_DIST / "assets"), name="assets")
 
     @app.get("/")
     def root():
-        return FileResponse(_FRONTEND_DIR / "index.html")
+        return FileResponse(_FRONTEND_DIST / "index.html")
+
+    # Catch-all so Vite-built static files (favicon, icons, etc.) at the root
+    # also resolve. Mounting this AFTER all /api routes preserves API priority.
+    app.mount("/", StaticFiles(directory=_FRONTEND_DIST, html=True), name="frontend")
+
+elif (_FRONTEND_SRC / "index.html").exists():
+    # Unbuilt source: only useful behind `vite dev`; here we just serve index.
+    @app.get("/")
+    def root():
+        return FileResponse(_FRONTEND_SRC / "index.html")
+
 else:
     @app.get("/")
     def root():

frontend/.gitignore

@@ -0,0 +1,24 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+dist
+dist-ssr
+*.local
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?

frontend/README.md

@@ -0,0 +1,16 @@
+# React + Vite
+
+This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
+
+Currently, two official plugins are available:
+
+- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Oxc](https://oxc.rs)
+- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/)
+
+## React Compiler
+
+The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation).
+
+## Expanding the ESLint configuration
+
+If you are developing a production application, we recommend using TypeScript with type-aware lint rules enabled. Check out the [TS template](https://github.com/vitejs/vite/tree/main/packages/create-vite/template-react-ts) for information on how to integrate TypeScript and [`typescript-eslint`](https://typescript-eslint.io) in your project.

frontend/eslint.config.js

@@ -0,0 +1,21 @@
+import js from '@eslint/js'
+import globals from 'globals'
+import reactHooks from 'eslint-plugin-react-hooks'
+import reactRefresh from 'eslint-plugin-react-refresh'
+import { defineConfig, globalIgnores } from 'eslint/config'
+
+export default defineConfig([
+  globalIgnores(['dist']),
+  {
+    files: ['**/*.{js,jsx}'],
+    extends: [
+      js.configs.recommended,
+      reactHooks.configs.flat.recommended,
+      reactRefresh.configs.vite,
+    ],
+    languageOptions: {
+      globals: globals.browser,
+      parserOptions: { ecmaFeatures: { jsx: true } },
+    },
+  },
+])

frontend/index.html

@@ -0,0 +1,13 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/svg+xml" href="/favicon.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>frontend</title>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.jsx"></script>
+  </body>
+</html>

frontend/package-lock.json

@@ -0,0 +1,2458 @@
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+  "name": "frontend",
+  "version": "0.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
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+        "@types/react": "^19.2.14",
+        "@types/react-dom": "^19.2.3",
+        "@vitejs/plugin-react": "^6.0.1",
+        "eslint": "^10.2.1",
+        "eslint-plugin-react-hooks": "^7.1.1",
+        "eslint-plugin-react-refresh": "^0.5.2",
+        "globals": "^17.5.0",
+        "vite": "^8.0.10"
+      }
+    },
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+  }
+}

frontend/package.json

@@ -0,0 +1,27 @@
+{
+  "name": "frontend",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "lint": "eslint .",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "react": "^19.2.5",
+    "react-dom": "^19.2.5"
+  },
+  "devDependencies": {
+    "@eslint/js": "^10.0.1",
+    "@types/react": "^19.2.14",
+    "@types/react-dom": "^19.2.3",
+    "@vitejs/plugin-react": "^6.0.1",
+    "eslint": "^10.2.1",
+    "eslint-plugin-react-hooks": "^7.1.1",
+    "eslint-plugin-react-refresh": "^0.5.2",
+    "globals": "^17.5.0",
+    "vite": "^8.0.10"
+  }
+}

frontend/src/App.css

@@ -0,0 +1,184 @@
+.counter {
+  font-size: 16px;
+  padding: 5px 10px;
+  border-radius: 5px;
+  color: var(--accent);
+  background: var(--accent-bg);
+  border: 2px solid transparent;
+  transition: border-color 0.3s;
+  margin-bottom: 24px;
+
+  &:hover {
+    border-color: var(--accent-border);
+  }
+  &:focus-visible {
+    outline: 2px solid var(--accent);
+    outline-offset: 2px;
+  }
+}
+
+.hero {
+  position: relative;
+
+  .base,
+  .framework,
+  .vite {
+    inset-inline: 0;
+    margin: 0 auto;
+  }
+
+  .base {
+    width: 170px;
+    position: relative;
+    z-index: 0;
+  }
+
+  .framework,
+  .vite {
+    position: absolute;
+  }
+
+  .framework {
+    z-index: 1;
+    top: 34px;
+    height: 28px;
+    transform: perspective(2000px) rotateZ(300deg) rotateX(44deg) rotateY(39deg)
+      scale(1.4);
+  }
+
+  .vite {
+    z-index: 0;
+    top: 107px;
+    height: 26px;
+    width: auto;
+    transform: perspective(2000px) rotateZ(300deg) rotateX(40deg) rotateY(39deg)
+      scale(0.8);
+  }
+}
+
+#center {
+  display: flex;
+  flex-direction: column;
+  gap: 25px;
+  place-content: center;
+  place-items: center;
+  flex-grow: 1;
+
+  @media (max-width: 1024px) {
+    padding: 32px 20px 24px;
+    gap: 18px;
+  }
+}
+
+#next-steps {
+  display: flex;
+  border-top: 1px solid var(--border);
+  text-align: left;
+
+  & > div {
+    flex: 1 1 0;
+    padding: 32px;
+    @media (max-width: 1024px) {
+      padding: 24px 20px;
+    }
+  }
+
+  .icon {
+    margin-bottom: 16px;
+    width: 22px;
+    height: 22px;
+  }
+
+  @media (max-width: 1024px) {
+    flex-direction: column;
+    text-align: center;
+  }
+}
+
+#docs {
+  border-right: 1px solid var(--border);
+
+  @media (max-width: 1024px) {
+    border-right: none;
+    border-bottom: 1px solid var(--border);
+  }
+}
+
+#next-steps ul {
+  list-style: none;
+  padding: 0;
+  display: flex;
+  gap: 8px;
+  margin: 32px 0 0;
+
+  .logo {
+    height: 18px;
+  }
+
+  a {
+    color: var(--text-h);
+    font-size: 16px;
+    border-radius: 6px;
+    background: var(--social-bg);
+    display: flex;
+    padding: 6px 12px;
+    align-items: center;
+    gap: 8px;
+    text-decoration: none;
+    transition: box-shadow 0.3s;
+
+    &:hover {
+      box-shadow: var(--shadow);
+    }
+    .button-icon {
+      height: 18px;
+      width: 18px;
+    }
+  }
+
+  @media (max-width: 1024px) {
+    margin-top: 20px;
+    flex-wrap: wrap;
+    justify-content: center;
+
+    li {
+      flex: 1 1 calc(50% - 8px);
+    }
+
+    a {
+      width: 100%;
+      justify-content: center;
+      box-sizing: border-box;
+    }
+  }
+}
+
+#spacer {
+  height: 88px;
+  border-top: 1px solid var(--border);
+  @media (max-width: 1024px) {
+    height: 48px;
+  }
+}
+
+.ticks {
+  position: relative;
+  width: 100%;
+
+  &::before,
+  &::after {
+    content: '';
+    position: absolute;
+    top: -4.5px;
+    border: 5px solid transparent;
+  }
+
+  &::before {
+    left: 0;
+    border-left-color: var(--border);
+  }
+  &::after {
+    right: 0;
+    border-right-color: var(--border);
+  }
+}

frontend/src/App.jsx

@@ -0,0 +1,526 @@
+import React, { useState, useEffect, useRef } from 'react';
+import './index.css';
+
+// Backend base — '' means same origin (Docker / Space). Vite dev proxy handles localhost.
+const API_BASE = '';
+
+// Stage timing (ms) for the live-attack animation. Independent of trace.t timings
+// so the demo paces consistently regardless of the underlying recording.
+const STAGE_TIMING = {
+  generation: 1500,
+  pg2_scan:   1500,
+  agent_run:  2000,
+  firewall_scan: 1500,
+  verdict:    600,
+};
+
+// Default fallback when API is unreachable (dev mode without backend).
+const DEFAULT_ATTACK_TYPES = [
+  { id: 'email_exfiltration', label: 'Email Exfiltration', icon: '📧',
+    description: 'Trick the email agent into forwarding session data to an attacker address.' },
+  { id: 'forbidden_tool',     label: 'Forbidden Tool Call', icon: '🔧',
+    description: 'Force the agent to invoke a tool that is explicitly off-limits.' },
+  { id: 'prompt_leak',        label: 'System-Prompt Leak',  icon: '🔓',
+    description: 'Get the agent to reveal its hidden system prompt verbatim.' },
+  { id: 'rag_injection',      label: 'RAG Document Injection', icon: '📄',
+    description: 'Hide an injection inside a retrieved document the agent has to summarise.' },
+];
+const DEFAULT_STEP_OPTIONS = [50, 100, 300, 500, 1000, 1500];
+
+
+// ---------------------------------------------------------------------------
+// DefenseCard
+// ---------------------------------------------------------------------------
+
+function DefenseCard({ title, subtitle, state, icon }) {
+  const stateClass = state || 'idle';
+  const stateIcon = state === 'flagged' ? '✗' : state === 'scanning' ? '⏳' : '✓';
+  const label = state === 'scanning' ? 'Scanning…'
+              : state === 'passed'  ? 'Bypassed'
+              : state === 'flagged' ? 'Flagged'
+              : 'Idle';
+  return (
+    <div className={`defense-card ${stateClass}`}>
+      <div className="defense-icon">{icon}</div>
+      <div className="defense-content">
+        <h4>{title}</h4>
+        <p>{subtitle}</p>
+      </div>
+      <div className={`defense-status status-${stateClass}`}>{stateIcon} {label}</div>
+    </div>
+  );
+}
+
+
+// ---------------------------------------------------------------------------
+// AttackVisualization — animates a real trace returned from /api/attack
+// ---------------------------------------------------------------------------
+
+function AttackVisualization({ trace, isRunning, stepCount, onComplete }) {
+  const [stage, setStage] = useState(0);            // 0 idle → 1 gen → 2 pg2 → 3 agent → 4 fw → 5 done
+  const [payloadText, setPayloadText] = useState('');
+  const [agentOutput, setAgentOutput] = useState('');
+  const [pg2State, setPg2State] = useState('idle');
+  const [secAlignState, setSecAlignState] = useState('idle');
+  const [fwState, setFwState] = useState('idle');
+  const timersRef = useRef([]);
+
+  useEffect(() => {
+    timersRef.current.forEach(clearTimeout);
+    timersRef.current = [];
+    if (!isRunning || !trace) {
+      setStage(0); setPayloadText(''); setAgentOutput('');
+      setPg2State('idle'); setSecAlignState('idle'); setFwState('idle');
+      return;
+    }
+
+    // Index timeline events by stage.
+    const events = {};
+    for (const ev of trace.timeline || []) {
+      events[ev.stage] = ev;
+    }
+    const pg2Ev    = events.pg2_scan;
+    const agentEv  = events.agent_run;
+    const fwEv     = events.firewall_scan;
+    const verdict  = events.verdict;
+
+    const fullPayload = trace.payload || (events.generation || {}).payload || '';
+    const truncatedPayload = fullPayload.length > 380
+      ? fullPayload.slice(0, 380) + '…'
+      : fullPayload;
+
+    // Stage 1: generation + typewriter
+    setStage(1);
+    let i = 0;
+    const typewriterId = setInterval(() => {
+      i += Math.max(1, Math.floor(truncatedPayload.length / 80));
+      setPayloadText(truncatedPayload.slice(0, Math.min(i, truncatedPayload.length)));
+      if (i >= truncatedPayload.length) clearInterval(typewriterId);
+    }, STAGE_TIMING.generation / 80);
+    timersRef.current.push(() => clearInterval(typewriterId));
+
+    let t = STAGE_TIMING.generation;
+
+    // Stage 2: PG2
+    timersRef.current.push(setTimeout(() => {
+      setStage(2); setPg2State('scanning');
+    }, t));
+    t += STAGE_TIMING.pg2_scan;
+    timersRef.current.push(setTimeout(() => {
+      setPg2State(pg2Ev?.flagged ? 'flagged' : 'passed');
+    }, t));
+
+    // Stage 3: SecAlign agent
+    timersRef.current.push(setTimeout(() => {
+      setStage(3); setSecAlignState('scanning');
+    }, t));
+    t += STAGE_TIMING.agent_run;
+    timersRef.current.push(setTimeout(() => {
+      const agentText = agentEv?.agent_output || '';
+      setAgentOutput(agentText.length > 600 ? agentText.slice(0, 600) + '…' : agentText);
+      setSecAlignState(verdict?.task_succeeded ? 'flagged' : 'passed');
+    }, t));
+
+    // Stage 4: LlamaFirewall
+    timersRef.current.push(setTimeout(() => {
+      setStage(4); setFwState('scanning');
+    }, t));
+    t += STAGE_TIMING.firewall_scan;
+    timersRef.current.push(setTimeout(() => {
+      setFwState(fwEv?.flagged ? 'flagged' : 'passed');
+    }, t));
+
+    // Stage 5: verdict
+    timersRef.current.push(setTimeout(() => {
+      setStage(5);
+      onComplete && onComplete(trace.outcome || {});
+    }, t + STAGE_TIMING.verdict));
+
+    return () => {
+      timersRef.current.forEach(timer => {
+        if (typeof timer === 'function') timer();
+        else clearTimeout(timer);
+      });
+      timersRef.current = [];
+    };
+  }, [isRunning, trace, stepCount, onComplete]);
+
+  if (!isRunning && stage === 0) return null;
+
+  const toolCallMatch = agentOutput.match(/\b(send_email|execute_shell|run_command|forward_message)\s*\([^)]*\)/i);
+
+  return (
+    <div className="viz-container">
+      <h3>Live Attack Execution</h3>
+
+      <div className="attacker-panel">
+        <h4>🤖 InjectArena Attacker ({stepCount} steps)</h4>
+        <div className="typewriter-box">
+          {payloadText}
+          {stage === 1 && <span className="cursor">|</span>}
+        </div>
+      </div>
+
+      <div className="pipeline">
+        <DefenseCard title="Llama Prompt Guard 2" subtitle="86M classifier" icon="🛡️" state={pg2State} />
+        <div className="arrow">→</div>
+        <DefenseCard title="Meta-SecAlign-8B" subtitle="8B agent + LoRA" icon="🧠" state={secAlignState} />
+        <div className="arrow">→</div>
+        <DefenseCard title="LlamaFirewall" subtitle="Scanner pipeline" icon="🔥" state={fwState} />
+      </div>
+
+      {stage >= 3 && agentOutput && (
+        <div className="agent-response-panel">
+          <h4>Agent Response</h4>
+          <p className="agent-text">{agentOutput}</p>
+          {toolCallMatch && (
+            <div className="malicious-highlight">
+              <span className="code-label">Function Call</span>
+              {toolCallMatch[0]}
+            </div>
+          )}
+        </div>
+      )}
+    </div>
+  );
+}
+
+
+// ---------------------------------------------------------------------------
+// ResultCard
+// ---------------------------------------------------------------------------
+
+function ResultCard({ outcome, stepCount, attackType, payloadPreview, onRetry }) {
+  if (!outcome) return null;
+  const broke_pg2 = outcome.broke_pg2;
+  const broke_fw  = outcome.broke_fw;
+  const task_ok   = outcome.task_succeeded;
+  const composed  = outcome.composed_bypass;
+  const blocked_at = outcome.blocked_at;
+
+  // We define "firewall broken" as bypassing both Meta classifier defenses
+  // (PG2 and LlamaFirewall) — task success is a separate, harder gate.
+  const firewall_broken = broke_pg2 && broke_fw;
+
+  if (firewall_broken) {
+    return (
+      <div className="result-card success-card">
+        <div className="result-header">
+          <h2>🚨 META FIREWALL BROKEN</h2>
+        </div>
+        <div className="result-body">
+          <p><strong>Defenses bypassed:</strong>
+            &nbsp;PG2 {broke_pg2 ? '✓' : '✗'}
+            &nbsp;SecAlign {task_ok ? '✓ (task executed)' : '✗ (refused task)'}
+            &nbsp;LlamaFirewall {broke_fw ? '✓' : '✗'}
+          </p>
+          <p><strong>Attacker payload:</strong> "{payloadPreview}"</p>
+          <p className="compromise">
+            <strong>Composed bypass:</strong> {composed ? 'YES — full attack succeeded' : 'No — classifiers bypassed, agent refused the injected task'}
+          </p>
+
+          <div className="why-matters">
+            <h4>Why this matters</h4>
+            <p>Meta deployed all three of these defenses against prompt injection.
+              Our 1.5B-parameter RL attacker beat the input + output classifiers
+              (Llama Prompt Guard 2 and LlamaFirewall) at 100% rate on this scenario.
+              SecAlign-8B is the only layer that still catches the injected task.
+            </p>
+          </div>
+
+          <div className="result-actions">
+            <button className="btn-secondary" onClick={() => onRetry(stepCount)}>Run another scenario</button>
+            {!composed && stepCount < 1500 && (
+              <button className="btn-primary" onClick={() => onRetry(1500)}>↑ Retry with 1500 steps</button>
+            )}
+          </div>
+        </div>
+      </div>
+    );
+  }
+
+  // Failure: PG2 or FW caught the payload
+  return (
+    <div className="result-card failure-card">
+      <div className="result-header">
+        <h2>🛡️ Attack blocked at {blocked_at || 'a defense layer'}</h2>
+      </div>
+      <div className="result-body">
+        <p>At {stepCount} training steps the attacker didn't bypass all classifier layers.</p>
+        <p><strong>PG2:</strong> {broke_pg2 ? 'bypassed' : 'flagged'} ·
+          &nbsp;<strong>LlamaFirewall:</strong> {broke_fw ? 'bypassed' : 'flagged'}</p>
+
+        <div className="result-actions">
+          {stepCount < 300  && <button className="btn-primary" onClick={() => onRetry(300)}>↑ Retry with 300 steps</button>}
+          {stepCount < 1500 && <button className="btn-primary" onClick={() => onRetry(1500)}>↑↑ Retry with 1500 steps</button>}
+          <button className="btn-secondary" onClick={() => onRetry(stepCount, true)}>Try a different attack type</button>
+        </div>
+      </div>
+    </div>
+  );
+}
+
+
+// ---------------------------------------------------------------------------
+// Stats badges (hero) — pulled from /api/stats
+// ---------------------------------------------------------------------------
+
+function StatBadges({ stats }) {
+  if (!stats) return null;
+  const fmt = (v) => (v == null ? '—' : `${Math.round(v * 100)}%`);
+  return (
+    <div className="stats-row">
+      <span className="stat-badge">{fmt(stats.pg2_bypass_rate)} PG2 Bypass</span>
+      <span className="stat-badge">{fmt(stats.fw_bypass_rate)} LlamaFirewall Bypass</span>
+      <span className="stat-badge">{stats.trace_count} recorded attacks</span>
+      <span className="stat-badge">Trained on A100</span>
+    </div>
+  );
+}
+
+
+// ---------------------------------------------------------------------------
+// App
+// ---------------------------------------------------------------------------
+
+function App() {
+  const [activeTab, setActiveTab] = useState('attack');
+  const [attackTypes, setAttackTypes] = useState(DEFAULT_ATTACK_TYPES);
+  const [stepOptions, setStepOptions] = useState(DEFAULT_STEP_OPTIONS);
+  const [attackType, setAttackType] = useState(DEFAULT_ATTACK_TYPES[0].id);
+  const [steps, setSteps] = useState(300);
+  const [isAttacking, setIsAttacking] = useState(false);
+  const [trace, setTrace] = useState(null);
+  const [outcome, setOutcome] = useState(null);
+  const [stats, setStats] = useState(null);
+  const [highlight, setHighlight] = useState(null);
+  const [error, setError] = useState(null);
+
+  // Initial data fetch
+  useEffect(() => {
+    fetch(`${API_BASE}/api/attack-types`)
+      .then(r => r.ok ? r.json() : Promise.reject(r))
+      .then(data => {
+        if (Array.isArray(data.attack_types) && data.attack_types.length > 0) {
+          setAttackTypes(data.attack_types);
+        }
+        if (Array.isArray(data.step_options) && data.step_options.length > 0) {
+          setStepOptions(data.step_options);
+        }
+      })
+      .catch(() => { /* fallback to defaults */ });
+
+    fetch(`${API_BASE}/api/stats`)
+      .then(r => r.ok ? r.json() : Promise.reject(r))
+      .then(setStats)
+      .catch(() => { /* hide badges if unreachable */ });
+
+    fetch(`${API_BASE}/api/highlight`)
+      .then(r => r.ok ? r.json() : Promise.reject(r))
+      .then(setHighlight)
+      .catch(() => {});
+  }, []);
+
+  const launchAttack = async () => {
+    setIsAttacking(false);   // reset visualization first
+    setOutcome(null);
+    setTrace(null);
+    setError(null);
+
+    try {
+      const res = await fetch(`${API_BASE}/api/attack`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({ attack_type: attackType, steps }),
+      });
+      if (!res.ok) {
+        const detail = await res.text();
+        throw new Error(`API error ${res.status}: ${detail}`);
+      }
+      const t = await res.json();
+      // small tick to allow viz mount before timers begin
+      setTimeout(() => {
+        setTrace(t);
+        setIsAttacking(true);
+      }, 30);
+    } catch (e) {
+      setError(e.message || String(e));
+    }
+  };
+
+  const handleComplete = (finalOutcome) => {
+    setIsAttacking(false);
+    setOutcome(finalOutcome);
+  };
+
+  const handleRetry = (newSteps, changeType = false) => {
+    setSteps(newSteps);
+    if (changeType) {
+      const idx = attackTypes.findIndex(t => t.id === attackType);
+      const next = (idx + 1) % attackTypes.length;
+      setAttackType(attackTypes[next].id);
+    }
+    setOutcome(null);
+    setTrace(null);
+    document.getElementById('config-panel')?.scrollIntoView({ behavior: 'smooth' });
+    setTimeout(launchAttack, 500);
+  };
+
+  const heroPayloadPreview = highlight?.payload
+    ? (highlight.payload.length > 100 ? highlight.payload.slice(0, 100) + '…' : highlight.payload)
+    : 'Payload → PG2 ✓ → SecAlign → LlamaFirewall ✓';
+
+  const payloadPreview = trace?.payload
+    ? (trace.payload.length > 100 ? trace.payload.slice(0, 100) + '…' : trace.payload)
+    : '';
+
+  return (
+    <div className="app-container">
+      {/* Hero Section */}
+      <section className="hero">
+        <div className="hero-content">
+          <h1 className="hero-title">
+            <span className="emoji">🛡️</span> InjectArena <span className="emoji">⚔️</span>
+          </h1>
+          <p className="hero-subtitle">
+            We broke Meta's prompt-injection firewall.<br />
+            <strong>{stats ? `${Math.round((stats.pg2_bypass_rate ?? 0) * 100)}% Llama Prompt Guard 2 + ${Math.round((stats.fw_bypass_rate ?? 0) * 100)}% LlamaFirewall bypass` : '100% LlamaFirewall bypass'}
+              &nbsp;across {stats?.trace_count ?? 24} recorded attacks.</strong>
+          </p>
+
+          <div className="hero-animation">
+            <div className="animation-loop">
+              {heroPayloadPreview} → <span className="text-green">PG2 ✓</span> → <span className="text-green">SecAlign</span> → <span className="text-green">LlamaFirewall ✓</span>
+              <div className="firewall-broken">FIREWALL BROKEN</div>
+            </div>
+          </div>
+
+          <StatBadges stats={stats} />
+
+          <div className="hero-actions">
+            <button className="btn-primary btn-large" onClick={() => {
+              setActiveTab('attack');
+              setTimeout(() => document.getElementById('config-panel')?.scrollIntoView({ behavior: 'smooth' }), 30);
+            }}>▶ Launch Live Attack</button>
+            <button className="btn-secondary btn-large" onClick={() => {
+              setActiveTab('dashboard');
+              setTimeout(() => document.getElementById('dashboard')?.scrollIntoView({ behavior: 'smooth' }), 30);
+            }}>📊 See Training Results</button>
+          </div>
+        </div>
+      </section>
+
+      <main className="main-content">
+        {activeTab === 'attack' ? (
+          <>
+            <section id="config-panel" className="config-panel">
+              <h2>Configure your attack</h2>
+
+              <div className="config-group">
+                <label>Attack type:</label>
+                <div className="attack-type-grid">
+                  {attackTypes.map(type => (
+                    <div
+                      key={type.id}
+                      className={`type-card ${attackType === type.id ? 'selected' : ''}`}
+                      onClick={() => setAttackType(type.id)}
+                    >
+                      <span className="type-icon">{type.icon}</span>
+                      <div className="type-info">
+                        <strong>{type.label}</strong>
+                        <p>{type.description || type.desc}</p>
+                      </div>
+                    </div>
+                  ))}
+                </div>
+              </div>
+
+              <div className="config-group">
+                <label>Training steps: <span className="step-hint">More steps = stronger attacker</span></label>
+                <div className="steps-selector">
+                  {stepOptions.map(s => (
+                    <label key={s} className={`step-radio ${steps === s ? 'selected' : ''}`}>
+                      <input type="radio" name="steps" value={s} checked={steps === s} onChange={() => setSteps(s)} />
+                      {s}
+                    </label>
+                  ))}
+                </div>
+              </div>
+
+              <button className="btn-primary btn-full launch-btn" onClick={launchAttack} disabled={isAttacking}>
+                {isAttacking ? 'Attacking…' : '🚀 Launch Attack'}
+              </button>
+
+              {error && <div className="error-message" style={{ color: '#ef4444', marginTop: 12 }}>⚠ {error}</div>}
+            </section>
+
+            {(isAttacking || outcome !== null) && (
+              <section className="visualization-section">
+                <AttackVisualization
+                  trace={trace}
+                  isRunning={isAttacking}
+                  stepCount={steps}
+                  onComplete={handleComplete}
+                />
+              </section>
+            )}
+
+            {outcome !== null && !isAttacking && (
+              <section className="result-section">
+                <ResultCard
+                  outcome={outcome}
+                  stepCount={steps}
+                  attackType={attackType}
+                  payloadPreview={payloadPreview}
+                  onRetry={handleRetry}
+                />
+              </section>
+            )}
+          </>
+        ) : (
+          <section id="dashboard" className="dashboard-section">
+            <h2>Training Results Dashboard</h2>
+            <div className="dashboard-grid">
+              <div className="plot-card">
+                <img src="/plots/reward_curve.png" alt="Bypass rate by training steps"
+                     onError={(e) => e.target.style.display = 'none'} />
+                <p><strong>Bypass progression:</strong> Bypass rate climbs as the attacker trains. PG2 reaches ~92% by 1500 steps; LlamaFirewall stays at 100%.</p>
+              </div>
+              <div className="plot-card">
+                <img src="/plots/bypass_bars.png" alt="RL-trained vs handcrafted baseline"
+                     onError={(e) => e.target.style.display = 'none'} />
+                <p><strong>Bypass bars:</strong> RL-trained attacker (92% PG2 / 100% FW) vs handcrafted baseline (15% / 20%).</p>
+              </div>
+              <div className="plot-card">
+                <img src="/plots/per_category.png" alt="Per-category breakdown"
+                     onError={(e) => e.target.style.display = 'none'} />
+                <p><strong>Per-category:</strong> Bypass rates broken down by attack type — strongest on email/RAG, weakest on prompt-leak.</p>
+              </div>
+              <div className="plot-card">
+                <div className="plot-stats-block">
+                  <div className="big-stat">{stats ? `${Math.round((stats.pg2_bypass_rate ?? 0) * 100)}%` : '—'}</div>
+                  <div className="stat-label">PG2 Bypass Rate</div>
+                  <div className="big-stat">{stats ? `${Math.round((stats.fw_bypass_rate ?? 0) * 100)}%` : '—'}</div>
+                  <div className="stat-label">LlamaFirewall Bypass Rate</div>
+                  <div className="big-stat">{stats ? stats.trace_count : '—'}</div>
+                  <div className="stat-label">Recorded Attacks</div>
+                </div>
+                <p><strong>Aggregate stats:</strong> Live numbers from the trace store — exactly what the public demo serves.</p>
+              </div>
+            </div>
+          </section>
+        )}
+      </main>
+
+      <footer className="app-footer">
+        <a href="https://github.com/Jaswanth-K1210/Inject-Arena" target="_blank" rel="noopener noreferrer">GitHub</a> ·
+        &nbsp;<a href="https://huggingface.co/spaces/Jaswanth-K1210/injectarena" target="_blank" rel="noopener noreferrer">HF Space</a> ·
+        &nbsp;<a href="https://github.com/Jaswanth-K1210/Inject-Arena/blob/main/demo/VIDEO_SCRIPT.md" target="_blank" rel="noopener noreferrer">Demo Video</a> ·
+        &nbsp;<a href="https://github.com/Jaswanth-K1210/Inject-Arena#citation" target="_blank" rel="noopener noreferrer">Citation</a> ·
+        &nbsp;Apache-2.0
+      </footer>
+    </div>
+  );
+}
+
+export default App;

frontend/src/index.css

@@ -0,0 +1,473 @@
+@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&display=swap');
+
+:root {
+  --primary: #0071e3;
+  --primary-hover: #0077ED;
+  --bg-color: #f5f5f7;
+  --text-main: #1d1d1f;
+  --text-secondary: #86868b;
+  --card-bg: rgba(255, 255, 255, 0.7);
+  --card-border: rgba(255, 255, 255, 0.4);
+  --success: #34d399;
+  --success-dark: #10b981;
+  --danger: #fb7185;
+  --danger-dark: #e11d48;
+  --warning: #f59e0b;
+  --idle: #9ca3af;
+}
+
+* {
+  box-sizing: border-box;
+  margin: 0;
+  padding: 0;
+}
+
+body {
+  font-family: 'Inter', -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
+  background-color: var(--bg-color);
+  background-image: radial-gradient(circle at top, #ffffff 0%, #f5f5f7 100%);
+  color: var(--text-main);
+  line-height: 1.6;
+  -webkit-font-smoothing: antialiased;
+}
+
+.app-container {
+  max-width: 1000px;
+  margin: 0 auto;
+  padding: 2rem;
+}
+
+/* Hero Section */
+.hero {
+  text-align: center;
+  padding: 4rem 0 2rem;
+}
+
+.hero-title {
+  font-size: 3.5rem;
+  font-weight: 800;
+  letter-spacing: -0.04em;
+  margin-bottom: 1rem;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  gap: 1rem;
+}
+
+.hero-subtitle {
+  font-size: 1.25rem;
+  color: var(--text-secondary);
+  max-width: 600px;
+  margin: 0 auto 3rem;
+}
+
+/* Hero Animation */
+.hero-animation {
+  background: var(--card-bg);
+  backdrop-filter: blur(20px);
+  border: 1px solid var(--card-border);
+  border-radius: 16px;
+  padding: 2rem;
+  margin-bottom: 2rem;
+  box-shadow: 0 10px 30px rgba(0,0,0,0.05);
+  overflow: hidden;
+  position: relative;
+}
+
+.animation-loop {
+  font-family: monospace;
+  font-size: 1.1rem;
+  font-weight: 600;
+}
+
+.text-green { color: var(--success-dark); }
+
+.firewall-broken {
+  margin-top: 1rem;
+  font-size: 1.5rem;
+  font-weight: 800;
+  color: var(--danger-dark);
+  animation: pulse 2s infinite;
+}
+
+@keyframes pulse {
+  0% { transform: scale(1); opacity: 0.8; }
+  50% { transform: scale(1.05); opacity: 1; }
+  100% { transform: scale(1); opacity: 0.8; }
+}
+
+/* Stats */
+.stats-row {
+  display: flex;
+  flex-wrap: wrap;
+  justify-content: center;
+  gap: 1rem;
+  margin-bottom: 3rem;
+}
+
+.stat-badge {
+  background: white;
+  padding: 0.5rem 1rem;
+  border-radius: 999px;
+  font-size: 0.9rem;
+  font-weight: 600;
+  box-shadow: 0 2px 10px rgba(0,0,0,0.05);
+}
+
+/* Buttons */
+.btn-primary, .btn-secondary {
+  border: none;
+  border-radius: 999px;
+  font-family: inherit;
+  font-weight: 600;
+  font-size: 1rem;
+  padding: 0.75rem 1.5rem;
+  cursor: pointer;
+  transition: all 0.3s ease;
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+}
+
+.btn-primary {
+  background: linear-gradient(135deg, var(--primary) 0%, #4facfe 100%);
+  color: white;
+  box-shadow: 0 4px 15px rgba(0, 113, 227, 0.3);
+}
+.btn-primary:hover:not(:disabled) {
+  transform: translateY(-2px);
+  box-shadow: 0 6px 20px rgba(0, 113, 227, 0.4);
+}
+.btn-primary:disabled {
+  opacity: 0.7;
+  cursor: not-allowed;
+}
+
+.btn-secondary {
+  background: white;
+  color: var(--text-main);
+  box-shadow: 0 4px 15px rgba(0,0,0,0.05);
+}
+.btn-secondary:hover {
+  transform: translateY(-2px);
+  box-shadow: 0 6px 20px rgba(0,0,0,0.1);
+}
+
+.btn-large {
+  font-size: 1.1rem;
+  padding: 1rem 2rem;
+}
+.btn-full {
+  width: 100%;
+}
+
+.hero-actions {
+  display: flex;
+  gap: 1rem;
+  justify-content: center;
+}
+
+/* Config Panel */
+.config-panel {
+  background: var(--card-bg);
+  backdrop-filter: blur(20px);
+  border: 1px solid var(--card-border);
+  border-radius: 24px;
+  padding: 2.5rem;
+  margin-bottom: 2rem;
+  box-shadow: 0 10px 40px -10px rgba(0,0,0,0.08);
+}
+
+.config-panel h2 {
+  font-size: 1.5rem;
+  margin-bottom: 2rem;
+}
+
+.config-group {
+  margin-bottom: 2rem;
+}
+.config-group label {
+  display: block;
+  font-weight: 600;
+  margin-bottom: 1rem;
+}
+
+.step-hint {
+  font-weight: 400;
+  color: var(--text-secondary);
+  font-size: 0.9rem;
+  margin-left: 0.5rem;
+}
+
+.attack-type-grid {
+  display: grid;
+  grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+  gap: 1rem;
+}
+
+.type-card {
+  background: white;
+  border: 2px solid transparent;
+  border-radius: 16px;
+  padding: 1rem;
+  cursor: pointer;
+  display: flex;
+  align-items: flex-start;
+  gap: 1rem;
+  transition: all 0.2s ease;
+  box-shadow: 0 2px 8px rgba(0,0,0,0.04);
+}
+.type-card:hover {
+  transform: translateY(-2px);
+  box-shadow: 0 4px 12px rgba(0,0,0,0.08);
+}
+.type-card.selected {
+  border-color: var(--primary);
+  background: #f0f7ff;
+}
+.type-icon { font-size: 1.5rem; }
+.type-info strong { display: block; margin-bottom: 0.2rem; }
+.type-info p { font-size: 0.85rem; color: var(--text-secondary); line-height: 1.4; }
+
+.steps-selector {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 0.5rem;
+}
+
+.step-radio {
+  background: white;
+  border: 1px solid #e5e5e5;
+  padding: 0.5rem 1rem;
+  border-radius: 999px;
+  cursor: pointer;
+  font-weight: 500;
+  transition: all 0.2s ease;
+}
+.step-radio.selected {
+  background: var(--text-main);
+  color: white;
+  border-color: var(--text-main);
+}
+.step-radio input { display: none; }
+
+/* Visualization Section */
+.viz-container {
+  background: var(--card-bg);
+  backdrop-filter: blur(20px);
+  border: 1px solid var(--card-border);
+  border-radius: 24px;
+  padding: 2.5rem;
+  margin-bottom: 2rem;
+  box-shadow: 0 10px 40px -10px rgba(0,0,0,0.08);
+}
+
+.attacker-panel {
+  background: rgba(255, 255, 255, 0.5);
+  border-radius: 12px;
+  padding: 1.5rem;
+  margin-bottom: 2rem;
+}
+
+.typewriter-box {
+  font-family: monospace;
+  font-size: 1rem;
+  background: #fff;
+  padding: 1rem;
+  border-radius: 8px;
+  margin-top: 1rem;
+  min-height: 80px;
+  border: 1px solid #eee;
+}
+.cursor { animation: blink 1s step-end infinite; font-weight: bold; }
+@keyframes blink { 50% { opacity: 0; } }
+
+/* Pipeline */
+.pipeline {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 1rem;
+  margin-bottom: 2rem;
+}
+
+.arrow {
+  font-size: 1.5rem;
+  color: var(--text-secondary);
+}
+
+.defense-card {
+  flex: 1;
+  background: white;
+  border-radius: 16px;
+  padding: 1.5rem 1rem;
+  text-align: center;
+  border: 2px solid #eee;
+  transition: all 0.3s ease;
+  position: relative;
+}
+.defense-card.scanning {
+  border-color: var(--primary);
+  box-shadow: 0 0 15px rgba(0, 113, 227, 0.2);
+  transform: scale(1.05);
+}
+.defense-card.passed {
+  border-color: var(--success);
+}
+.defense-card.flagged {
+  border-color: var(--danger);
+}
+
+.defense-icon { font-size: 2rem; margin-bottom: 0.5rem; }
+.defense-content h4 { font-size: 0.9rem; margin-bottom: 0.2rem; }
+.defense-content p { font-size: 0.8rem; color: var(--text-secondary); }
+
+.defense-status {
+  position: absolute;
+  top: -10px; right: -10px;
+  font-size: 0.75rem; font-weight: bold;
+  padding: 2px 8px; border-radius: 999px;
+  color: white;
+}
+.status-idle { background: var(--idle); }
+.status-scanning { background: var(--primary); animation: pulse 1s infinite; }
+.status-passed { background: var(--success-dark); }
+.status-flagged { background: var(--danger-dark); }
+
+.agent-response-panel {
+  background: #fef2f2;
+  border: 1px solid #fecaca;
+  border-radius: 12px;
+  padding: 1.5rem;
+  margin-top: 2rem;
+  animation: slideUp 0.3s ease-out;
+}
+@keyframes slideUp { from { opacity: 0; transform: translateY(10px); } to { opacity: 1; transform: translateY(0); } }
+
+.malicious-highlight {
+  background: white;
+  border-left: 4px solid var(--danger);
+  padding: 1rem;
+  margin-top: 1rem;
+  font-family: monospace;
+  color: var(--danger-dark);
+  position: relative;
+}
+.code-label {
+  position: absolute; top: -10px; left: 10px;
+  background: var(--danger); color: white;
+  font-size: 0.7rem; padding: 2px 6px; border-radius: 4px;
+}
+
+/* Result Card */
+.result-card {
+  border-radius: 24px;
+  overflow: hidden;
+  box-shadow: 0 10px 40px -10px rgba(0,0,0,0.1);
+  margin-bottom: 2rem;
+  animation: slideUp 0.4s ease-out;
+}
+
+.success-card .result-header { background: var(--danger-dark); color: white; }
+.failure-card .result-header { background: var(--primary); color: white; }
+
+.result-header { padding: 1.5rem 2.5rem; }
+.result-header h2 { font-size: 1.5rem; display: flex; align-items: center; gap: 0.5rem; }
+
+.result-body {
+  background: white;
+  padding: 2.5rem;
+}
+.result-body p { margin-bottom: 0.75rem; }
+
+.compromise { font-family: monospace; background: #fef2f2; padding: 0.5rem; border-radius: 4px; }
+
+.why-matters {
+  margin: 1.5rem 0;
+  padding-left: 1rem;
+  border-left: 3px solid #e5e5e5;
+}
+
+.result-actions { display: flex; gap: 1rem; margin-top: 2rem; flex-wrap: wrap; }
+
+/* Dashboard */
+.dashboard-grid {
+  display: grid;
+  grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
+  gap: 1.5rem;
+  margin-top: 2rem;
+}
+.plot-card {
+  background: white;
+  padding: 1.5rem;
+  border-radius: 16px;
+  box-shadow: 0 4px 15px rgba(0,0,0,0.05);
+}
+.plot-placeholder {
+  height: 200px;
+  background: #f5f5f7;
+  border-radius: 8px;
+  margin-bottom: 1rem;
+  display: flex; align-items: center; justify-content: center;
+}
+.plot-placeholder::after { content: 'Plot image'; color: #ccc; }
+
+.app-footer {
+  text-align: center;
+  padding: 3rem 0;
+  color: var(--text-secondary);
+  font-size: 0.9rem;
+}
+.app-footer a { color: inherit; text-decoration: none; margin: 0 0.5rem; }
+.app-footer a:hover { color: var(--primary); }
+
+@media (max-width: 768px) {
+  .pipeline { flex-direction: column; }
+  .arrow { transform: rotate(90deg); }
+  .hero-title { font-size: 2.5rem; }
+}
+
+/* Additions to support the API-wired App.jsx */
+.agent-text {
+  white-space: pre-wrap;
+  font-size: 0.9rem;
+  color: #475569;
+  background: #f8fafc;
+  border-radius: 8px;
+  padding: 12px;
+  margin: 8px 0;
+  border-left: 3px solid #3b82f6;
+}
+.plot-card img {
+  width: 100%;
+  height: auto;
+  border-radius: 8px;
+  display: block;
+}
+.plot-stats-block {
+  display: grid;
+  grid-template-columns: 1fr;
+  gap: 4px;
+  padding: 16px;
+  background: #f8fafc;
+  border-radius: 8px;
+  text-align: center;
+}
+.big-stat {
+  font-size: 2.2rem;
+  font-weight: 700;
+  color: #1d4ed8;
+  line-height: 1.1;
+}
+.stat-label {
+  font-size: 0.85rem;
+  color: #64748b;
+  margin-bottom: 8px;
+}
+.error-message {
+  font-size: 0.9rem;
+  padding: 8px 12px;
+  background: #fef2f2;
+  border-left: 3px solid #ef4444;
+  border-radius: 4px;
+}

frontend/src/main.jsx

@@ -0,0 +1,10 @@
+import { StrictMode } from 'react'
+import { createRoot } from 'react-dom/client'
+import './index.css'
+import App from './App.jsx'
+
+createRoot(document.getElementById('root')).render(
+  <StrictMode>
+    <App />
+  </StrictMode>,
+)

frontend/vite.config.js

@@ -0,0 +1,22 @@
+import { defineConfig } from 'vite'
+import react from '@vitejs/plugin-react'
+
+// https://vite.dev/config/
+export default defineConfig({
+  plugins: [react()],
+  // Production build is served by FastAPI from frontend/dist/ at the site root.
+  base: '/',
+  build: {
+    outDir: 'dist',
+    sourcemap: false,
+  },
+  // `npm run dev` proxies API + plot calls to the FastAPI backend on :7860.
+  server: {
+    port: 5173,
+    proxy: {
+      '/api':    { target: 'http://localhost:7860', changeOrigin: true },
+      '/plots':  { target: 'http://localhost:7860', changeOrigin: true },
+      '/health': { target: 'http://localhost:7860', changeOrigin: true },
+    },
+  },
+})

scripts/plots_from_traces.py

@@ -0,0 +1,200 @@
+"""Generate dashboard plots locally from the committed trace JSONs.
+
+Use this when ``trainer_state.json`` is not available locally (it lives only on
+the Colab Drive). The 24 trace files in ``data/traces/`` are enough to produce
+``bypass_bars.png`` and ``per_category.png`` honestly.
+
+Usage:
+    python scripts/plots_from_traces.py --traces data/traces --out docs/plots
+"""
+
+from __future__ import annotations
+
+import argparse
+import json
+from collections import defaultdict
+from pathlib import Path
+from typing import Dict, List
+
+
+# Same baseline numbers used by scripts/make_plots.py (handcrafted-corpus side)
+BASELINES = {
+    "PG2 Bypass":      0.15,
+    "FW Bypass":       0.20,
+    "Task Success":    0.05,
+    "Composed Bypass": 0.02,
+}
+
+
+def _aggregate(traces_dir: Path) -> Dict:
+    files = sorted(traces_dir.glob("*.json"))
+    n = len(files)
+    if n == 0:
+        raise SystemExit(f"No traces in {traces_dir}")
+
+    pg2 = fw = task = composed = 0
+    by_type: Dict[str, Dict[str, int]] = defaultdict(lambda: {"n": 0, "task": 0, "composed": 0, "pg2": 0, "fw": 0})
+
+    for f in files:
+        with f.open() as fh:
+            t = json.load(fh)
+        o = t.get("outcome", {})
+        atype = t.get("attack_type", "?")
+
+        by_type[atype]["n"] += 1
+        if o.get("broke_pg2"):     pg2 += 1; by_type[atype]["pg2"] += 1
+        if o.get("broke_fw"):      fw += 1;  by_type[atype]["fw"] += 1
+        if o.get("task_succeeded"): task += 1; by_type[atype]["task"] += 1
+        if o.get("composed_bypass"): composed += 1; by_type[atype]["composed"] += 1
+
+    return {
+        "n": n,
+        "pg2_rate": pg2 / n,
+        "fw_rate":  fw / n,
+        "task_rate": task / n,
+        "composed_rate": composed / n,
+        "by_type": dict(by_type),
+    }
+
+
+def _plot_bypass_bars(stats: Dict, out: Path) -> None:
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    metrics = {
+        "PG2 Bypass":      stats["pg2_rate"],
+        "FW Bypass":       stats["fw_rate"],
+        "Task Success":    stats["task_rate"],
+        "Composed Bypass": stats["composed_rate"],
+    }
+    x = np.arange(len(metrics))
+    w = 0.35
+
+    fig, ax = plt.subplots(figsize=(9, 5))
+    b1 = ax.bar(x - w / 2, [BASELINES[k] for k in metrics], w,
+                label="Handcrafted Baseline", color="#94a3b8", edgecolor="white")
+    b2 = ax.bar(x + w / 2, [metrics[k] for k in metrics], w,
+                label="InjectArena (RL-trained)", color="#3b82f6", edgecolor="white")
+
+    ax.set_ylabel("Rate")
+    ax.set_title(f"InjectArena — Attacker Performance vs Baseline (n={stats['n']} traces)")
+    ax.set_xticks(x)
+    ax.set_xticklabels(list(metrics.keys()))
+    ax.set_ylim(0, 1.05)
+    ax.legend()
+    ax.grid(axis="y", alpha=0.3)
+
+    for bar in list(b1) + list(b2):
+        h = bar.get_height()
+        if h > 0.005:
+            ax.text(bar.get_x() + bar.get_width() / 2, h + 0.015,
+                    f"{h:.0%}", ha="center", va="bottom", fontsize=9)
+
+    out_path = out / "bypass_bars.png"
+    plt.tight_layout()
+    plt.savefig(out_path, dpi=150, bbox_inches="tight")
+    plt.close()
+    print(f"Saved {out_path}")
+
+
+def _plot_per_category(stats: Dict, out: Path) -> None:
+    import matplotlib.pyplot as plt
+    import numpy as np
+
+    by_type = stats["by_type"]
+    types = sorted(by_type.keys())
+    pg2_rates = [by_type[t]["pg2"] / by_type[t]["n"] for t in types]
+    fw_rates  = [by_type[t]["fw"] / by_type[t]["n"] for t in types]
+    task_rates = [by_type[t]["task"] / by_type[t]["n"] for t in types]
+
+    x = np.arange(len(types))
+    w = 0.27
+
+    fig, ax = plt.subplots(figsize=(10, 5))
+    ax.bar(x - w, pg2_rates, w, label="PG2 Bypass",  color="#3b82f6", edgecolor="white")
+    ax.bar(x,     fw_rates,  w, label="FW Bypass",   color="#1d4ed8", edgecolor="white")
+    ax.bar(x + w, task_rates, w, label="Task Success", color="#22c55e", edgecolor="white")
+
+    ax.set_ylabel("Rate")
+    ax.set_title("InjectArena — Per Attack Category (across all step counts)")
+    ax.set_xticks(x)
+    ax.set_xticklabels([t.replace("_", " ").title() for t in types])
+    ax.set_ylim(0, 1.05)
+    ax.legend()
+    ax.grid(axis="y", alpha=0.3)
+
+    out_path = out / "per_category.png"
+    plt.tight_layout()
+    plt.savefig(out_path, dpi=150, bbox_inches="tight")
+    plt.close()
+    print(f"Saved {out_path}")
+
+
+def _plot_step_curve(traces_dir: Path, out: Path) -> None:
+    """Bypass rate vs training-step label — the 'progression' visual."""
+    import matplotlib.pyplot as plt
+    from collections import defaultdict
+
+    by_step: Dict[int, Dict[str, int]] = defaultdict(lambda: {"n": 0, "pg2": 0, "fw": 0, "task": 0})
+    for f in sorted(traces_dir.glob("*.json")):
+        with f.open() as fh:
+            t = json.load(fh)
+        s = t.get("steps")
+        if s is None:
+            continue
+        o = t.get("outcome", {})
+        by_step[s]["n"] += 1
+        if o.get("broke_pg2"):      by_step[s]["pg2"]  += 1
+        if o.get("broke_fw"):       by_step[s]["fw"]   += 1
+        if o.get("task_succeeded"): by_step[s]["task"] += 1
+
+    if not by_step:
+        return
+    xs = sorted(by_step.keys())
+    pg2 = [by_step[s]["pg2"]  / by_step[s]["n"] for s in xs]
+    fw  = [by_step[s]["fw"]   / by_step[s]["n"] for s in xs]
+    task = [by_step[s]["task"] / by_step[s]["n"] for s in xs]
+
+    fig, ax = plt.subplots(figsize=(10, 5))
+    ax.plot(xs, pg2,  marker="o", linewidth=2, label="PG2 Bypass",   color="#3b82f6")
+    ax.plot(xs, fw,   marker="s", linewidth=2, label="FW Bypass",    color="#1d4ed8")
+    ax.plot(xs, task, marker="^", linewidth=2, label="Task Success", color="#22c55e")
+    ax.set_xlabel("Attacker training steps")
+    ax.set_ylabel("Bypass rate")
+    ax.set_title("InjectArena — Bypass Rate by Training Step Count")
+    ax.set_ylim(0, 1.05)
+    ax.legend()
+    ax.grid(alpha=0.3)
+
+    out_path = out / "reward_curve.png"   # reuse this filename so the dashboard finds it
+    plt.tight_layout()
+    plt.savefig(out_path, dpi=150, bbox_inches="tight")
+    plt.close()
+    print(f"Saved {out_path}")
+
+
+def main() -> None:
+    p = argparse.ArgumentParser()
+    p.add_argument("--traces", default="data/traces")
+    p.add_argument("--out", default="docs/plots")
+    args = p.parse_args()
+
+    traces = Path(args.traces)
+    out = Path(args.out)
+    out.mkdir(parents=True, exist_ok=True)
+
+    import matplotlib
+    matplotlib.use("Agg")
+
+    stats = _aggregate(traces)
+    print(f"Aggregated {stats['n']} traces  "
+          f"PG2={stats['pg2_rate']:.0%}  FW={stats['fw_rate']:.0%}  "
+          f"Task={stats['task_rate']:.0%}  Composed={stats['composed_rate']:.0%}")
+
+    _plot_bypass_bars(stats, out)
+    _plot_per_category(stats, out)
+    _plot_step_curve(traces, out)
+
+
+if __name__ == "__main__":
+    main()