feat: use indexed assistant topic suggestions

src/routes/clinicalAssistant.js

@@ -496,6 +496,14 @@ async function multimodalSearch(query, opts) {
   });
 }
 
+async function indexedTopicSuggestions(limit) {
+  return callMcpTool('nc_indexed_topic_suggestions', {
+    limit: limit || 9,
+    sample_size: 900,
+    doc_type: 'file'
+  });
+}
+
 async function callMcpTool(name, args) {
   var session = await mcpRequest({
     jsonrpc: '2.0',
@@ -1056,6 +1064,15 @@ async function getAvailableExamples() {
   var now = Date.now();
   if (_exampleCache.expiresAt > now && _exampleCache.examples.length) return _exampleCache.examples;
 
+  var indexedExamples = await getIndexedTopicExamples().catch(function(e) {
+    console.warn('[clinical-assistant] indexed topic suggestions skipped:', e.message);
+    return [];
+  });
+  if (indexedExamples.length >= 3) {
+    _exampleCache = { expiresAt: now + EXAMPLE_CACHE_MS, examples: indexedExamples };
+    return indexedExamples;
+  }
+
   var examples = [];
   var candidates = rotateExamples(EXAMPLE_CANDIDATES, now);
   for (var i = 0; i < candidates.length && examples.length < 9; i++) {
@@ -1087,6 +1104,31 @@ async function getAvailableExamples() {
   return examples;
 }
 
+async function getIndexedTopicExamples() {
+  var response = await indexedTopicSuggestions(9);
+  var data = response && (response.structuredContent || response.data || response);
+  if ((!data || !Array.isArray(data.suggestions)) && response && Array.isArray(response.content)) {
+    for (var i = 0; i < response.content.length; i++) {
+      var c = response.content[i];
+      if (c && c.type === 'text' && c.text) {
+        try {
+          var parsed = JSON.parse(c.text);
+          if (parsed && Array.isArray(parsed.suggestions)) data = parsed;
+        } catch (e) {}
+      }
+    }
+  }
+  if (!data || !Array.isArray(data.suggestions)) return [];
+  return data.suggestions.slice(0, 9).map(function(item) {
+    return {
+      label: item.label || 'Indexed topic',
+      prompt: item.prompt || '',
+      sourceTitle: Array.isArray(item.sample_titles) ? item.sample_titles[0] : '',
+      category: item.category || ''
+    };
+  }).filter(function(item) { return item.prompt; });
+}
+
 function rotateExamples(items, seed) {
   var copy = items.slice();
   var offset = Math.floor(seed / EXAMPLE_CACHE_MS) % copy.length;
@@ -1109,15 +1151,15 @@ async function generateImage(prompt, model) {
 
 function imageSizeForPrompt(prompt) {
   var text = String(prompt || '');
-  if (/\b(flow\s*chart|flowchart|algorithm|pathway|timeline|vertical|stepwise|decision\s*tree|age\s*group|0-21|22-28|29-60)\b/i.test(text)) return '1024x1792';
+  if (/\b(flow\s*chart|flowchart|algorithm|pathway|timeline|vertical|stepwise|decision\s*tree|age\s*group|0-21|22-28|29-60)\b/i.test(text)) return '1024x1536';
-  if (/\b(table|matrix|comparison|wide|landscape|side-by-side)\b/i.test(text)) return '1792x1024';
+  if (/\b(table|matrix|comparison|wide|landscape|side-by-side)\b/i.test(text)) return '1536x1024';
   return '1024x1024';
 }
 
 function imagePromptForCanvas(prompt, size) {
   var guidance = ' Keep all text and boxes fully inside the canvas with generous margins. Use fewer words per box, large readable type, and avoid cropping at edges.';
-  if (size === '1024x1792') guidance += ' Use a vertical portrait layout with top-to-bottom flow and ample spacing between decision nodes.';
+  if (size === '1024x1536') guidance += ' Use a vertical portrait layout with top-to-bottom flow and ample spacing between decision nodes.';
-  if (size === '1792x1024') guidance += ' Use a wide landscape layout with columns and ample horizontal spacing.';
+  if (size === '1536x1024') guidance += ' Use a wide landscape layout with columns and ample horizontal spacing.';
   return String(prompt || '').trim() + guidance;
 }