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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Firefox AI Runtime</title>
<link rel="stylesheet" href="style.css">
<style>
.collection-name { font-family: monospace; font-size: 0.85em; color: #555; margin-bottom: 0; }
</style>
</head>
<body class="main-body">
<div class="main-header">
<div>
<div class="main-header-left">
<h1>
<img src="smart-window.svg" class="main-header-icon">Firefox AI Runtime
</h1>
<h2>Live views of the Remote Settings collections powering the Firefox AI runtime and Smart Window</h2>
</div>
<div class="main-header-right">
<img class="main-header-noodles" src="noodles.png" aria-role="presentational">
</div>
</div>
</div>
<div class="main-links">
<a href="./ml-inference-options">
<h3>Inference Options</h3>
<p>Which ML model is deployed for each Firefox feature — task type, model ID, quantization, and revision.</p>
<p class="collection-name">ml-inference-options</p>
</a>
<a href="./ml-onnx-runtime">
<h3>ONNX Runtime Binaries</h3>
<p>The WebAssembly runtime files (ONNX and wllama) hosted in Remote Settings for on-device inference.</p>
<p class="collection-name">ml-onnx-runtime</p>
</a>
<a href="./ml-model-allow-deny-list">
<h3>Model Allow/Deny List</h3>
<p>URL prefixes that are allowed or denied when Firefox loads models from external hosts.</p>
<p class="collection-name">ml-model-allow-deny-list</p>
</a>
<a href="./ml-inference-words-block-list">
<h3>Words Block List</h3>
<p>Language-specific n-gram block lists used for content filtering during ML inference.</p>
<p class="collection-name">ml-inference-words-block-list</p>
</a>
<a href="./ai-window-prompts">
<h3>AI Window Prompts</h3>
<p>System prompts and configuration for each Firefox Smart Window feature and AI model.</p>
<p class="collection-name">ai-window-prompts</p>
</a>
<a href="./ai-window-tools">
<h3>AI Window Tools</h3>
<p>Tool/function definitions the Smart Window assistant can call — tab management, memories, search, and more.</p>
<p class="collection-name">ai-window-tools</p>
</a>
<a href="./ai-window-telemetry-prompts">
<h3>AI Window Telemetry Prompts</h3>
<p>LLM prompts that classify conversations to produce telemetry, with their allowed output values.</p>
<p class="collection-name">ai-window-telemetry-prompts</p>
</a>
<a href="./ai-window-telemetry-triggers">
<h3>AI Window Telemetry Triggers</h3>
<p>Sampling rules that decide when telemetry prompts run.</p>
<p class="collection-name">ai-window-telemetry-triggers</p>
</a>
<a href="./ml-inference-request-options">
<h3>Inference Request Options</h3>
<p>Per-feature inference request options (system prompt, input size) stored as a JSON blob.</p>
<p class="collection-name">ml-inference-request-options</p>
</a>
</div>
</body>
</html>