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<!DOCTYPE html>
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<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
<title>ARCHITECTURE</title>
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<body>
<header id="title-block-header">
<h1 class="title">ARCHITECTURE</h1>
</header>
<h1 id="visionengine-architecture">VisionEngine Architecture</h1>
<h2 id="module-structure">Module Structure</h2>
<pre><code>VisionEngine/
├── pkg/
│ ├── analyzer/ # Core interfaces and types
│ ├── graph/ # NavigationGraph (imported by HelixQA)
│ ├── llmvision/ # LLM Vision API adapters (Gemini, Anthropic, OpenAI, Qwen, Ollama)
│ ├── remote/ # Remote Ollama deployment via SSH (auto-install, model pull, lifecycle)
│ ├── opencv/ # OpenCV stubs (real impl behind build tag)
│ └── config/ # Configuration
├── go.mod
├── Makefile
└── Upstreams/ # Remote sync scripts</code></pre>
<h2 id="vision-providers">Vision Providers</h2>
<p>VisionEngine supports 7 cloud/local vision providers plus a fallback
chain:</p>
<table>
<thead>
<tr>
<th>Provider</th>
<th>File</th>
<th>API</th>
<th>Notes</th>
</tr>
</thead>
<tbody>
<tr>
<td>OpenAI</td>
<td><code>openai.go</code></td>
<td>GPT-4o vision</td>
<td>Cloud, rate-limited</td>
</tr>
<tr>
<td>Anthropic</td>
<td><code>anthropic.go</code></td>
<td>Claude vision</td>
<td>Cloud, rate-limited</td>
</tr>
<tr>
<td>Gemini</td>
<td><code>gemini.go</code></td>
<td>Gemini 2.0 Flash</td>
<td>Cloud, primary for HelixQA autonomous</td>
</tr>
<tr>
<td>Qwen</td>
<td><code>qwen.go</code></td>
<td>Qwen VL Max</td>
<td>Cloud</td>
</tr>
<tr>
<td>Kimi</td>
<td><code>kimi.go</code></td>
<td>Kimi/Moonshot</td>
<td>Cloud</td>
</tr>
<tr>
<td>StepFun</td>
<td><code>stepgui.go</code></td>
<td>Step-1.5v</td>
<td>Cloud</td>
</tr>
<tr>
<td>Ollama</td>
<td><code>ollama.go</code></td>
<td>Any local model</td>
<td>Local, free, no rate limits</td>
</tr>
<tr>
<td>Fallback</td>
<td><code>fallback.go</code></td>
<td>Multi-provider chain</td>
<td>Tries providers in order until one succeeds</td>
</tr>
</tbody>
</table>
<p>Provider selection is configured via
<code>HELIX_VISION_PROVIDER</code>:</p>
<ul>
<li><code>auto</code> — Probes all configured providers, uses
FallbackProvider</li>
<li><code>openai</code>, <code>anthropic</code>, <code>gemini</code>,
etc. — Use a specific provider</li>
<li><code>ollama</code> — Use local Ollama instance</li>
</ul>
<h3 id="local-model-support-ollama">Local Model Support (Ollama)</h3>
<p>The Ollama provider (<code>pkg/llmvision/ollama.go</code>) connects
to any Ollama instance:</p>
<ul>
<li>Configured via <code>HELIX_OLLAMA_URL</code> (e.g.,
<code>http://thinker.local:11434</code>)</li>
<li>Supports any vision model (e.g., <code>minicpm-v:8b</code>,
<code>llava:7b</code>)</li>
<li>Zero cost, no rate limits, full privacy</li>
<li>Auto-deployment via <code>pkg/remote/</code> ensures Ollama + model
are running on remote hosts</li>
</ul>
<h3 id="distributed-vision-llamacpp-rpc">Distributed Vision (llama.cpp
RPC)</h3>
<p>The <code>pkg/remote/</code> package manages distributed
inference:</p>
<ul>
<li><code>hardware.go</code> — Detects GPU (NVIDIA), CPU, and RAM on
remote hosts via SSH</li>
<li><code>llamacpp.go</code> — Manages llama.cpp RPC workers across
multiple hosts</li>
<li>Each worker contributes its VRAM/RAM to the inference pool</li>
<li>Configured via <code>HELIX_LLAMACPP_RPC_WORKERS</code> and
<code>HELIX_LLAMACPP_RPC_MODEL</code></li>
</ul>
<h2 id="two-layer-analysis-pipeline">Two-Layer Analysis Pipeline</h2>
<pre class="mermaid"><code>graph TD
A[Screenshot] --> B[Layer 1: GoCV - Mechanical]
A --> C[Layer 2: LLM Vision - Intelligent]
B --> D[Element Detection]
B --> E[SSIM Comparison]
B --> F[Color Analysis]
C --> G[Screen Identification]
C --> H[UI Comprehension]
C --> I[Issue Detection]
D --> J[Combined Analysis]
G --> J</code></pre>
<h2 id="navigationgraph">NavigationGraph</h2>
<pre class="mermaid"><code>classDiagram
class NavigationGraph {
<<interface>>
+AddScreen(ScreenIdentity) string
+AddTransition(from, to, Action)
+CurrentScreen() string
+SetCurrent(screenID)
+PathTo(targetID) []Transition
+UnvisitedScreens() []string
+Coverage() float64
+Export() GraphSnapshot
}
class navGraph {
-screens map[string]*ScreenNode
-transitions []Transition
-adjacency map[string][]Transition
-current string
-mu sync.RWMutex
}
NavigationGraph <|.. navGraph</code></pre>
<h2 id="thread-safety">Thread Safety</h2>
<ul>
<li>NavigationGraph uses <code>sync.RWMutex</code> for all
operations</li>
<li>FallbackProvider uses <code>sync.RWMutex</code> for provider list
access</li>
<li>All concurrent operations are race-detector safe</li>
</ul>
<h2 id="build-tags">Build Tags</h2>
<ul>
<li>Default build: No OpenCV, stubs return errors, LLM providers
work</li>
<li><code>vision</code> tag: Full OpenCV support via GoCV</li>
</ul>
</body>
</html>