feat: optimize suggestions and LLM server configuration

- Added duplicate filtering for suggestions in both backend (Rust) and frontend (JavaScript)
- Changed announcement summary schedule from every 15 minutes to hourly at :37
- Simplified LLM prompt for document summarization
- Updated LLM server configuration with reduced GPU layers and increased context size
- Removed memory mapping and lock settings for LLM server
- Improved HTML formatting and added missing newline at EOF

src/bot/mod.rs

@@ -676,9 +676,12 @@ impl BotOrchestrator {
                 .query_async(&mut conn)
                 .await?;
 
+            // Filter out duplicate suggestions
+            let mut seen = std::collections::HashSet::new();
             suggestions
                 .into_iter()
                 .filter_map(|s| serde_json::from_str::<Suggestion>(&s).ok())
+                .filter(|s| seen.insert((s.text.clone(), s.context.clone())))
                 .collect()
         } else {
             Vec::new()

templates/announcements.gbai/announcements.gbdialog/update-summary.bas

@@ -1,7 +1,7 @@
-SET_SCHEDULE "*/15 * * * *"
+SET_SCHEDULE "37 * * * *"
 
 let text = GET "announcements.gbkb/news/news.pdf"
-let resume = LLM "Resume this document: " + text
+let resume = LLM "In a short phrase, resume this: " + text
 
 SET_BOT_MEMORY "resume", resume
 

templates/default.gbai/default.gbot/config.csv

@@ -15,13 +15,14 @@ llm-server,false
 llm-server-path,botserver-stack/bin/llm/build/bin
 llm-server-host,0.0.0.0
 llm-server-port,8081
-llm-server-gpu-layers,35
-llm-server-n-moe,23
-llm-server-ctx-size,512
-llm-server-parallel,8
+llm-server-gpu-layers,0
+llm-server-n-moe,0
+llm-server-ctx-size,2048
+llm-server-parallel,2
 llm-server-cont-batching,true
-llm-server-mlock,true
-llm-server-no-mmap,true
+llm-server-mlock,false
+llm-server-no-mmap,false
+    
 
 email-from,from@domain.com
 email-server,mail.domain.com

web/html/index.html

@@ -1734,7 +1734,12 @@
                 // Clear existing suggestions before adding new ones
                 container.innerHTML = '';
                 
-                suggestions.forEach(s => {
+                // Filter out duplicate suggestions
+                const uniqueSuggestions = suggestions.filter((s, index, self) =>
+                    index === self.findIndex(t => t.text === s.text && t.context === s.context)
+                );
+                
+                uniqueSuggestions.forEach(s => {
                     const btn = document.createElement('button');
                     btn.textContent = s.text;
                     btn.className = 'suggestion-button';