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<nav>
  <div class="brand"><span class="eye-ball"></span><span class="brand-name">AgentVision</span></div>
  <div class="nav-links">
    <a href="#features">Features</a>
    <a href="#surfaces">Surfaces</a>
    <a href="#install">Install</a>
    <a href="https://github.com/amitpatole/agent-vision" target="_blank">GitHub</a>
    <a href="https://pypi.org/project/agentvision/" target="_blank" class="vbadge">v0.11.0</a>
    <a href="https://github.com/amitpatole/agent-vision" target="_blank" class="btn btn-star">★ Star</a>
  </div>
</nav>

<section class="hero">
  <div class="eyebrow"><span class="dot-live"></span>AgentVision v0.11.0 is live on PyPI</div>
  <h1>Coding <span class="w-agents">agents</span> are <span class="w-blind">blind</span>.<br>Now they can see.</h1>
  <p class="hero-sub">Closes the visual feedback loop for AI coding agents:<br><strong>render → perceive → report → fix</strong> — before claiming done.</p>
  <div class="hero-btns">
    <a class="btn btn-prim" href="https://github.com/amitpatole/agent-vision" target="_blank">View on GitHub</a>
    <a class="btn btn-ghost" href="https://pypi.org/project/agentvision/" target="_blank">PyPI Package</a>
    <a class="btn btn-ghost" href="https://amitpatole.github.io/agent-vision/" target="_blank">Docs</a>
  </div>
  <div class="pip-box"><span class="dol">$</span><span class="cmd">pip install</span><span class="pkg">"agentvision[render]"</span></div>
</section>

<div class="loop-wrap">
  <div class="sec-chip">How it works</div>
  <h2 class="sec-title">The Self-Correcting Visual Loop</h2>
  <p class="sec-sub">A machine-graded cycle the agent consumes to catch and fix visual bugs autonomously.</p>
  <div class="loop-rail">
    <div class="lnode">Render</div><div class="larr">→</div>
    <div class="lnode">Perceive</div><div class="larr">→</div>
    <div class="lnode">Report</div><div class="larr">→</div>
    <div class="lnode">Agent Fixes</div><div class="larr">→</div>
    <div class="lnode">Re-render</div><div class="larr">→</div>
    <div class="lnode">Diff</div>
  </div>
  <div class="verdicts">
    <span class="verd v-pass">✓ PASS</span>
    <span class="verd v-warn">⚠ WARN</span>
    <span class="verd v-fail">✗ FAIL</span>
  </div>
</div>

<section class="sec" id="features">
  <div style="text-align:center;margin-bottom:2.25rem">
    <div class="sec-chip">Trustworthy by design</div>
    <h2 class="sec-title">Grounded findings, not guesses</h2>
    <p class="sec-sub">Every issue is anchored to a real DOM source — no hallucinated pixel boxes.</p>
  </div>
  <div class="feat-grid">
    <div class="feat"><div class="fi">📐</div><h3>DOM Geometry</h3><p>Precise element boxes via <code>getBoundingClientRect</code> + scroll offset. Coordinate-grounded overflow and clip detection.</p></div>
    <div class="feat"><div class="fi">🎨</div><h3>Real WCAG Contrast</h3><p>Ratios from <code>getComputedStyle</code> over solid backgrounds; over a <strong>canvas / raster map / gradient</strong> it grades from the rendered <strong>pixels</strong> (worst-case sampling) instead of guessing.</p></div>
    <div class="feat"><div class="fi">🔤</div><h3>OCR Word Boxes</h3><p>Tesseract-powered text locations for clipped labels, overflowing content, and garbled rendering.</p></div>
    <div class="feat"><div class="fi">🌐</div><h3>Network &amp; Console</h3><p>Catches 4xx errors and console warnings — the #1 “looks fine in code, broken live” cause.</p></div>
    <div class="feat"><div class="fi">🤖</div><h3>Vision LLM Critique</h3><p>Claude / OpenAI / Gemini add semantic critique on top. Pixel boxes flagged <code>bbox_precise:false</code>.</p></div>
    <div class="feat"><div class="fi">📱</div><h3>Responsive Sheets</h3><p>Contact sheets across 375, 768, 1280, 1920 px breakpoints to surface layout bugs at every viewport.</p></div>
    <div class="feat"><div class="fi">📸</div><h3>Visual Regression</h3><p>Named baseline snapshots + diff scoring so agents know exactly what regressed between iterations.</p></div>
    <div class="feat"><div class="fi">🩺</div><h3>Doctor Command</h3><p>Runs a real Chromium launch, checks Tesseract, poppler, and every missing system dependency.</p></div>
    <div class="feat"><div class="fi">🔌</div><h3>Provider-Agnostic API</h3><p>Swap backends via <code>--backend</code> flag or env var. Uniform API surface across all vision providers.</p></div>
    <div class="feat"><div class="fi">🎞️</div><h3>Temporal Verification</h3><p><code>watch</code> samples frames over time to verify <strong>playback, loading &amp; liveness</strong> — is the video actually playing, did the spinner clear, are captions on. Deterministic &lt;video&gt; state + pixel liveness. Now grades <strong>local video files &amp; animated GIFs</strong> too (a dead/static export FAILs). For streaming UIs &amp; live dashboards.</p></div>
    <div class="feat"><div class="fi">🔐</div><h3>Authenticated &amp; Interactive</h3><p>Render an app <strong>behind a login</strong> (<code>--storage-state</code>) and reach state <strong>behind a click</strong> — a closed-vocabulary <code>--interactions</code> list (click / hover / fill / canvas <code>click_at</code>) opens a popup before grading. Read-only by default; origin-scoped auth.</p></div>
    <div class="feat"><div class="fi">🖌️</div><h3>Canvas-Baked Text</h3><p>Text painted straight <strong>into a &lt;canvas&gt;</strong> (a chart label, a metric on a heat tile) has no DOM node to inspect — OCR + worst-case pixel contrast flags the unreadable ones at the chart/colormap layer.</p></div>
    <div class="feat"><div class="fi">🧩</div><h3>Full-Coverage Vision</h3><p>Large artifacts are tiled at <strong>full resolution</strong> (overview + detail), so no small text or chart data is lost to downscaling. Pixel-based &amp; source-agnostic — HTML, images, PDFs, canvas alike.</p></div>
  </div>
</section>

<section class="sec" id="eyes-brain">
  <div class="sec-chip">Eyes &amp; Brain</div>
  <h2 class="sec-title">The eyes for a brain that decides</h2>
  <p class="sec-sub">AgentVision is the <strong>eyes</strong>. Pair it with <a href="https://huggingface.co/spaces/amitpatole/verel" target="_blank">Verel</a> — the <strong>brain</strong> — where nothing is &ldquo;done&rdquo; until a grader returns a verdict. The eyes perceive and grade intent; the brain decides with attestation and compounds <strong>only verified work</strong> into memory. Then the eyes look again.</p>
  <p style="text-align:center;margin-top:1.5rem"><img src="https://raw.githubusercontent.com/amitpatole/verel/main/media/unified-architecture.png" alt="Eyes and Brain - AgentVision perceives and grades intent; Verel decides and compounds verified work into memory" style="max-width:100%;border-radius:16px;border:1px solid #2a3142"></p>
  <p class="sec-sub" style="margin-top:1.75rem"><strong>New in v0.11.0:</strong> grade an app <strong>behind a login</strong> and state <strong>behind a click</strong>, unreadable metrics <strong>over a raster map</strong>, text <strong>baked into a canvas</strong>, and local <strong>video / GIF motion over time</strong>. <a href="https://github.com/amitpatole/verel" target="_blank">Verel on GitHub &rarr;</a></p>
</section>

<section class="sec" id="surfaces">
  <div style="text-align:center;margin-bottom:2.25rem">
    <div class="sec-chip">Flexible integration</div>
    <h2 class="sec-title">Many faces, one core</h2>
    <p class="sec-sub">Use AgentVision from any surface that fits your workflow.</p>
  </div>
  <div class="tbl-wrap">
    <table>
      <thead><tr><th>Surface</th><th>Who it’s for</th></tr></thead>
      <tbody>
        <tr><td><span class="tag">Library</span> &nbsp;<span class="tc">import agentvision</span></td><td>Python apps and custom agent harnesses</td></tr>
        <tr><td><span class="tag">CLI</span> &nbsp;<span class="tc">agentvision analyze / loop / sheet</span></td><td>Any agent that can run a shell command; CI pipelines</td></tr>
        <tr><td><span class="tag">Skill</span> &nbsp;Claude Code Skill</td><td>Claude agents — auto-invokes the loop before claiming done</td></tr>
        <tr><td><span class="tag">MCP</span> &nbsp;<span class="tc">agentvision-mcp</span></td><td>Cursor, Claude Desktop, any MCP-capable host</td></tr>
        <tr><td><span class="tag">REST</span> &nbsp;<span class="tc">agentvision-serve</span></td><td>Non-MCP / networked / CI agents via HTTP</td></tr>
      </tbody>
    </table>
  </div>
</section>

<section class="sec">
  <div style="text-align:center;margin-bottom:2.25rem">
    <div class="sec-chip">Vision backends</div>
    <h2 class="sec-title">Pluggable &amp; provider-agnostic</h2>
    <p class="sec-sub">Switch via <span class="ic">--backend</span> or <span class="ic">AGENTVISION_VISION_BACKEND</span></p>
  </div>
  <div class="bg-grid">
    <div class="bg-card"><div class="bgi">🟣</div><h4>Anthropic</h4><p>Default: claude-haiku-4-5<br>Upgradable to Sonnet / Opus</p></div>
    <div class="bg-card"><div class="bgi">🟢</div><h4>OpenAI</h4><p>GPT-4o and compatible vision models</p></div>
    <div class="bg-card"><div class="bgi">🔵</div><h4>Gemini</h4><p>Google Gemini vision via google-genai</p></div>
    <div class="bg-card"><div class="bgi">⚫</div><h4>Local (no key)</h4><p>CV + OCR heuristics. No API key, no egress — great for CI &amp; air-gapped envs.</p></div>
  </div>
</section>

<section class="sec" id="install">
  <div style="text-align:center;margin-bottom:2.25rem">
    <div class="sec-chip">Get started</div>
    <h2 class="sec-title">Running in 60 seconds</h2>
    <p class="sec-sub">No API key required for the demo.</p>
  </div>
  <div class="ig">
    <div class="cc"><div class="cc-hdr"><div class="dots"><div class="dot d1"></div><div class="dot d2"></div><div class="dot d3"></div></div><div class="cc-title">Quick start</div></div>
<pre><span class="c"># install with rendering</span>
<span class="g">pip install</span> <span class="a">"agentvision[render]"</span>

<span class="c"># install Chromium</span>
<span class="g">playwright install</span> chromium

<span class="c"># run the demo (no API key)</span>
<span class="g">agentvision</span> demo

<span class="c"># check system deps</span>
<span class="g">agentvision</span> doctor</pre></div>
    <div class="cc"><div class="cc-hdr"><div class="dots"><div class="dot d1"></div><div class="dot d2"></div><div class="dot d3"></div></div><div class="cc-title">CLI usage</div></div>
<pre><span class="c"># analyze a file / URL</span>
<span class="g">agentvision analyze</span> <span class="a">./index.html</span> <span class="b">--backend local</span>

<span class="c"># self-correcting loop</span>
<span class="g">agentvision loop</span> <span class="a">./dashboard.html</span> <span class="b">--max-iter 3</span>

<span class="c"># responsive contact sheet</span>
<span class="g">agentvision sheet</span> <span class="a">./index.html</span> <span class="b">--breakpoints 375,768,1280</span>

<span class="c"># visual regression</span>
<span class="g">agentvision baseline</span> <span class="a">./index.html</span> <span class="b">--name home</span>
<span class="g">agentvision regress</span>  <span class="a">./index.html</span> <span class="b">--name home</span></pre></div>
    <div class="cc"><div class="cc-hdr"><div class="dots"><div class="dot d1"></div><div class="dot d2"></div><div class="dot d3"></div></div><div class="cc-title">Install extras</div></div>
<pre><span class="c"># everything</span>
<span class="g">pip install</span> <span class="a">"agentvision[all]"</span>

<span class="c"># render + Claude</span>
<span class="g">pip install</span> <span class="a">"agentvision[render,anthropic]"</span>

<span class="c"># MCP server</span>
<span class="g">pip install</span> <span class="a">"agentvision[render,mcp]"</span>

<span class="c"># REST service</span>
<span class="g">pip install</span> <span class="a">"agentvision[render,serve]"</span></pre></div>
    <div class="cc"><div class="cc-hdr"><div class="dots"><div class="dot d1"></div><div class="dot d2"></div><div class="dot d3"></div></div><div class="cc-title">Python API</div></div>
<pre><span class="b">import</span> asyncio
<span class="b">from</span> agentvision <span class="b">import</span> load_settings
<span class="b">from</span> agentvision.core.loop <span class="b">import</span> LoopSession

<span class="b">async def</span> <span class="g">main</span>():
    settings = load_settings(
        vision_backend=<span class="a">"local"</span>
    )
    session = LoopSession(
        <span class="a">"examples/broken.html"</span>,
        settings=settings
    )
    result = <span class="b">await</span> session.iterate()
    <span class="g">print</span>(result.report.verdict)

asyncio.run(main())</pre></div>
  </div>
</section>

<section class="sec">
  <div class="honesty-box">
    <h3>What we do not claim</h3>
    <ul>
      <li>Pixel-accurate vision-model bounding boxes (advisory only)</li>
      <li>WCAG verdicts on rasterized non-HTML</li>
      <li>Bit-reproducible screenshots across runs</li>
      <li>Deterministic LLM reports</li>
      <li>Uniform behavior across all providers</li>
      <li>Forcing non-Claude agents into the loop</li>
    </ul>
  </div>
</section>

<section class="sec"><div class="sec-chip">Adopt</div><h2 class="sec-title">Drop it into your workflow &amp; agents</h2><p class="sec-sub">CI gate in one step (<code>uses: amitpatole/agent-vision@v0.11.0</code>), a pre-commit hook, or shell out anywhere (exit codes 0/2/3). For agents: the Claude Code Skill, MCP tools, or a drop-in agent contract.</p></section>
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