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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>12 Agent - Momentry API Docs</title>
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<body>
<div class="container">
<div class="topbar">
<a class="back" href="index.html">&larr; Back to index</a>
<a class="logout-btn" href="#" onclick="fetch('/api/v1/auth/logout',{method:'POST'}).then(()=>window.location.reload());return false">Logout</a>
</div>
<h1>Agent Endpoints</h1>
<p>Agent endpoints provide AI-powered capabilities including translation, identity analysis, and 5W1H extraction.</p>
<h2>POST /api/v1/agents/translate</h2>
<p>Translate text between languages using Gemma4 (llama.cpp, port 8082).</p>
<h3>Request</h3>
<div class="codehilite"><pre><span></span><code><span class="p">{</span>
<span class="w"> </span><span class="nt">&quot;text&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Hello, welcome to Momentry Core.&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="nt">&quot;target_language&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;Traditional Chinese&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="nt">&quot;source_language&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;English&quot;</span>
<span class="p">}</span>
</code></pre></div>
<table class="table">
<thead>
<tr>
<th>Field</th>
<th>Type</th>
<th>Required</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>text</code></td>
<td>string</td>
<td>✅</td>
<td>Text to translate</td>
</tr>
<tr>
<td><code>target_language</code></td>
<td>string</td>
<td>✅</td>
<td>Target language name (e.g. "Traditional Chinese", "Japanese")</td>
</tr>
<tr>
<td><code>source_language</code></td>
<td>string</td>
<td>❌</td>
<td>Source language (default: "auto")</td>
</tr>
</tbody>
</table>
<h3>Response</h3>
<div class="codehilite"><pre><span></span><code><span class="p">{</span>
<span class="w"> </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
<span class="w"> </span><span class="nt">&quot;translated_text&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;您好，歡迎使用 Momentry Core。&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="nt">&quot;source_language_detected&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;English&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="nt">&quot;model_used&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;google_gemma-4-26B-A4B-it-Q5_K_M.gguf&quot;</span>
<span class="p">}</span>
</code></pre></div>
<h3>Supported Language Pairs (tested)</h3>
<table class="table">
<thead>
<tr>
<th>Source</th>
<th>Target</th>
<th>Quality</th>
</tr>
</thead>
<tbody>
<tr>
<td>English</td>
<td>Traditional Chinese</td>
<td>✅</td>
</tr>
<tr>
<td>English</td>
<td>Japanese</td>
<td>✅</td>
</tr>
<tr>
<td>Chinese</td>
<td>English</td>
<td>✅</td>
</tr>
<tr>
<td>English</td>
<td>French</td>
<td>✅</td>
</tr>
<tr>
<td>Chinese</td>
<td>Japanese</td>
<td>✅</td>
</tr>
</tbody>
</table>
<h3>Model</h3>
<ul>
<li><strong>Model</strong>: Gemma4 26B (Q5_K_M)</li>
<li><strong>Engine</strong>: llama.cpp at <code>localhost:8082</code></li>
<li><strong>Endpoint</strong>: <code>/v1/chat/completions</code> (OpenAI-compatible)</li>
<li><strong>Temperature</strong>: 0.1</li>
<li><strong>Max tokens</strong>: 1024</li>
</ul>
<h3>Errors</h3>
<table class="table">
<thead>
<tr>
<th>Status</th>
<th>Condition</th>
</tr>
</thead>
<tbody>
<tr>
<td>500</td>
<td>LLM unreachable or response parse failure</td>
</tr>
<tr>
<td>401</td>
<td>Missing/invalid auth</td>
</tr>
</tbody>
</table>
<hr />
<h2>POST /api/v1/agents/5w1h/analyze</h2>
<p>Extract 5W1H (Who, What, When, Where, Why, How) from a scene. Uses Gemma4 LLM on port 8082.</p>
<h3>Request</h3>
<div class="codehilite"><pre><span></span><code><span class="p">{</span>
<span class="w"> </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3abeee81d94597629ed8cb943f182e94&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="nt">&quot;scene_id&quot;</span><span class="p">:</span><span class="w"> </span><span class="mi">42</span>
<span class="p">}</span>
</code></pre></div>
<h3>Response</h3>
<div class="codehilite"><pre><span></span><code><span class="p">{</span>
<span class="w"> </span><span class="nt">&quot;success&quot;</span><span class="p">:</span><span class="w"> </span><span class="kc">true</span><span class="p">,</span>
<span class="w"> </span><span class="nt">&quot;5w1h&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">{</span>
<span class="w"> </span><span class="nt">&quot;who&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;Cary Grant&quot;</span><span class="p">],</span>
<span class="w"> </span><span class="nt">&quot;what&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;discussing plans&quot;</span><span class="p">],</span>
<span class="w"> </span><span class="nt">&quot;when&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;1963&quot;</span><span class="p">],</span>
<span class="w"> </span><span class="nt">&quot;where&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;Paris&quot;</span><span class="p">],</span>
<span class="w"> </span><span class="nt">&quot;why&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;vacation&quot;</span><span class="p">],</span>
<span class="w"> </span><span class="nt">&quot;how&quot;</span><span class="p">:</span><span class="w"> </span><span class="p">[</span><span class="s2">&quot;in person&quot;</span><span class="p">]</span>
<span class="w"> </span><span class="p">}</span>
<span class="p">}</span>
</code></pre></div>
<h2>POST /api/v1/agents/5w1h/batch</h2>
<p>Batch analyze all scenes in a file for 5W1H extraction. Uses the pipeline's <code>parent_chunk_5w1h.py --mode llm</code>.</p>
<h3>Request</h3>
<div class="codehilite"><pre><span></span><code><span class="p">{</span>
<span class="w"> </span><span class="nt">&quot;file_uuid&quot;</span><span class="p">:</span><span class="w"> </span><span class="s2">&quot;3abeee81d94597629ed8cb943f182e94&quot;</span>
<span class="p">}</span>
</code></pre></div>
<h2>GET /api/v1/agents/5w1h/status</h2>
<p>Get status of the 5W1H agent pipeline for a file.</p>
<hr />
<h2>Embedding Model</h2>
<table class="table">
<thead>
<tr>
<th>Detail</th>
<th>Value</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Model</strong></td>
<td>EmbeddingGemma-300m</td>
</tr>
<tr>
<td><strong>Endpoint</strong></td>
<td><code>POST /v1/embeddings</code> on port 11436</td>
</tr>
<tr>
<td><strong>Dimension</strong></td>
<td>768</td>
</tr>
<tr>
<td><strong>Used by</strong></td>
<td><code>parent_chunk_5w1h.py --embed</code>, story, 5W1H, search</td>
</tr>
</tbody>
</table>
</div>
</body>
</html>
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