Stop-sekvenssit: katkaistaan myös "// Example usage" ja "# Example" kommentit

Malli tuottaa toisinaan esimerkkikoodia funktioiden jälkeen joka ei ole osa
varsinaista vastausta. Nyt generointi katkeaa ennen näitä.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

network-poc/native-node/src/inference.rs

@@ -207,8 +207,8 @@ impl LlmEngine {
 
                 // Stop-sekvenssit: katkaistaan kun malli alkaa selittää
                 let lower = generated_text.to_lowercase();
-                if lower.contains("\n###") || lower.contains("\nexplanation") || lower.contains("\nnote:") || lower.contains("\noutput:") || lower.contains("\n```\n\n") {
-                    for stop in &["\n###", "\nExplanation", "\nNote:", "\nOutput:", "\n```\n\n"] {
+                if lower.contains("\n###") || lower.contains("\nexplanation") || lower.contains("\nnote:") || lower.contains("\noutput:") || lower.contains("\n```\n\n") || lower.contains("\n// example") || lower.contains("\n# example") {
+                    for stop in &["\n###", "\nExplanation", "\nNote:", "\nOutput:", "\n```\n\n", "\n// Example", "\n// example", "\n# Example", "\n# example"] {
                         if let Some(pos) = generated_text.find(stop) {
                             generated_text.truncate(pos);
                         }

network-poc/node/src/qwen_coder.rs

@@ -258,13 +258,13 @@ pub async fn run_coder_inference(prompt: String, ws: Rc<RefCell<WebSocket>>, use
         if let Ok(json) = serde_json::from_str::<serde_json::Value>(&prompt) {
             let p = json.get("prompt").and_then(|v| v.as_str()).unwrap_or(&prompt).to_string();
             let s = json.get("system").and_then(|v| v.as_str()).unwrap_or(default_system).to_string();
-            let m = json.get("max_tokens").and_then(|v| v.as_u64()).unwrap_or(128) as usize;
+            let m = json.get("max_tokens").and_then(|v| v.as_u64()).unwrap_or(256) as usize;
             (p, s, m)
         } else {
-            (prompt.clone(), default_system.to_string(), 128)
+            (prompt.clone(), default_system.to_string(), 256)
         }
     } else {
-        (prompt.clone(), default_system.to_string(), 128)
+        (prompt.clone(), default_system.to_string(), 256)
     };
 
     // Prefill: aloitetaan vastaus ```-koodiblokkilla, jolloin malli jatkaa suoraan koodilla
@@ -342,8 +342,8 @@ pub async fn run_coder_inference(prompt: String, ws: Rc<RefCell<WebSocket>>, use
 
                 // Stop-sekvenssit: katkaistaan kun malli alkaa selittää
                 let lower = generated_text.to_lowercase();
-                if lower.contains("\n###") || lower.contains("\nexplanation") || lower.contains("\nnote:") || lower.contains("\noutput:") || lower.contains("\n```\n\n") {
-                    for stop in &["\n###", "\nExplanation", "\nNote:", "\nOutput:", "\n```\n\n"] {
+                if lower.contains("\n###") || lower.contains("\nexplanation") || lower.contains("\nnote:") || lower.contains("\noutput:") || lower.contains("\n```\n\n") || lower.contains("\n// example") || lower.contains("\n# example") {
+                    for stop in &["\n###", "\nExplanation", "\nNote:", "\nOutput:", "\n```\n\n", "\n// Example", "\n// example", "\n# Example", "\n# example"] {
                         if let Some(pos) = generated_text.find(stop) {
                             generated_text.truncate(pos);
                         }

network-poc/static/index.html

@@ -1491,12 +1491,19 @@
         let detectedWebGPU = false;
         let detectedGpuInfo = null;
         let wasmInitialized = false;
-        let coderSize = '05b'; // '05b' tai '3b'
+        let coderSize = localStorage.getItem('kpn-coder-size') || '05b';
 
-        // Mallivalinnan radio-napit
+        // Mallivalinnan radio-napit — asetetaan oikea valinta localStoragesta
+        const savedRadio = document.querySelector(`input[name="coder-size"][value="${coderSize}"]`);
+        if (savedRadio) savedRadio.checked = true;
+        if (coderSize === '3b') {
+            document.getElementById('coder-opt-05b')?.style && (document.getElementById('coder-opt-05b').style.borderColor = 'var(--border-color)');
+            document.getElementById('coder-opt-3b')?.style && (document.getElementById('coder-opt-3b').style.borderColor = 'var(--accent-color)');
+        }
         document.querySelectorAll('input[name="coder-size"]').forEach(radio => {
             radio.addEventListener('change', (e) => {
                 coderSize = e.target.value;
+                localStorage.setItem('kpn-coder-size', coderSize);
                 // Visuaalinen korostus
                 document.getElementById('coder-opt-05b').style.borderColor = coderSize === '05b' ? 'var(--accent-color)' : 'var(--border-color)';
                 document.getElementById('coder-opt-3b').style.borderColor = coderSize === '3b' ? 'var(--accent-color)' : 'var(--border-color)';
@@ -1849,14 +1856,37 @@
             }
 
             if (sub === 'load') {
+                const arg = parts[2];
                 const btn = document.getElementById('agent-compute-btn');
-                if (btn && btn.dataset.state === 'ready') {
-                    termLog('  ✓ Kielimalli on jo ladattu ja valmis', '#3fb950');
-                } else {
-                    termLog('  Alustetaan laskentasolmua...', '#d29922');
-                    if (btn) btn.click(); // Käytetään samaa logiikkaa kuin napissa
-                    else ensureCoderNode();
+                // Mallikatalogista valinta numerolla tai nimellä
+                const loadModels = [
+                    { id: '1', key: '05b', name: 'Qwen2.5-Coder:0.5B', size: '~990 MB', coderSize: '05b' },
+                    { id: '2', key: '3b',  name: 'Qwen2.5-Coder:3B',  size: '~6.2 GB', coderSize: '3b' },
+                ];
+                if (!arg) {
+                    // Näytetään lista
+                    termLog('  Ladattavat mallit:', '#c9d1d9');
+                    for (const m of loadModels) {
+                        const active = (btn?.dataset.state === 'ready' && coderSize === m.coderSize) ? ' <span style="color:#3fb950">✓ ladattu</span>' : '';
+                        termLog(`    <span style="color:#58a6ff">${m.id}</span>  ${m.name} <span style="color:#8b949e">(${m.size})</span>${active}`);
+                    }
+                    termLog('  Käyttö: kpn load &lt;numero&gt;', '#8b949e');
+                    return;
                 }
+                const selected = loadModels.find(m => m.id === arg || m.key === arg || m.coderSize === arg);
+                if (!selected) {
+                    termLog(`  Tuntematon malli "${esc(arg)}". Kokeile: kpn load`, '#f85149');
+                    return;
+                }
+                if (btn?.dataset.state === 'ready' && coderSize === selected.coderSize) {
+                    termLog(`  ✓ ${selected.name} on jo ladattu ja valmis`, '#3fb950');
+                    return;
+                }
+                coderSize = selected.coderSize;
+                localStorage.setItem('kpn-coder-size', coderSize);
+                termLog(`  Alustetaan ${selected.name} (${selected.size})...`, '#d29922');
+                if (btn) btn.click();
+                else ensureCoderNode();
                 return;
             }
 
@@ -1868,11 +1898,14 @@
             }
 
             if (sub === 'models') {
-                termLog('  smollm-135m    — SmolLM 135M (kevyt)', '#a5d6ff');
-                termLog('  qwen-05b       — Qwen2.5 0.5B', '#a5d6ff');
-                termLog('  phi3-mini      — Phi-3 Mini', '#a5d6ff');
-                termLog('  qwen-coder     — Qwen2.5-Coder 0.5B', '#a5d6ff');
-                termLog('  qwen-coder-3b  — Qwen2.5-Coder 3B', '#a5d6ff');
+                termLog('  Käytettävissä olevat mallit:', '#c9d1d9');
+                termLog('    <span style="color:#58a6ff">1</span>  qwen-coder     Qwen2.5-Coder:0.5B  <span style="color:#8b949e">~990 MB  | koodin generointi</span>');
+                termLog('    <span style="color:#58a6ff">2</span>  qwen-coder-3b  Qwen2.5-Coder:3B    <span style="color:#8b949e">~6.2 GB  | parempi koodinlaatu</span>');
+                termLog('    <span style="color:#58a6ff">3</span>  smollm-135m    SmolLM 135M         <span style="color:#8b949e">~270 MB  | kevyt, nopea</span>');
+                termLog('    <span style="color:#58a6ff">4</span>  qwen-05b       Qwen2.5:0.5B        <span style="color:#8b949e">~990 MB  | yleismalli</span>');
+                termLog('    <span style="color:#58a6ff">5</span>  phi3-mini      Phi-3 Mini          <span style="color:#8b949e">~2.2 GB  | Microsoftin malli</span>');
+                termLog('  Käyttö: kpn run &lt;malli&gt; "&lt;prompti&gt;"', '#8b949e');
+                termLog('  Lataus: kpn load &lt;numero&gt;', '#8b949e');
                 return;
             }
 
@@ -1905,7 +1938,9 @@
                 }
                 
                 // Jos käyttäjä syötti agentin nimen (esim. "coder"), vaihdetaan se oikeaksi tekoälymalliksi ("qwen-coder")
-                if (agentPrompts[model]) {
+                if (model === 'coder-3b') {
+                    model = 'qwen-coder-3b';
+                } else if (agentPrompts[model]) {
                     model = agentPrompts[model].model;
                 }
 
@@ -1919,12 +1954,14 @@
         // Tab-completion: ennustava komennonsyöttö sana kerrallaan
         const kpnCommands = {
             'kpn': ['help', 'run', 'pipeline', 'load', 'status', 'models', 'hello', 'clear'],
-            'kpn run': ['coder', 'manager', 'tester', 'qa', 'data', 'observer', 'qwen-coder', 'smollm-135m', 'qwen-05b', 'phi3-mini'],
+            'kpn run': ['coder', 'coder-3b', 'manager', 'tester', 'qa', 'data', 'observer', 'qwen-coder', 'qwen-coder-3b', 'smollm-135m', 'qwen-05b', 'phi3-mini'],
+            'kpn load': ['1', '2'],
             'kpn pipeline': ['"'],
         };
         // Esimerkkipromptit malleittain
         const kpnExamples = {
             'kpn run coder': ['"hello world in python"', '"fibonacci in rust"', '"quicksort in javascript"'],
+            'kpn run coder-3b': ['"binary search tree in rust"', '"REST API with Flask"', '"async web scraper in python"'],
             'kpn run manager': ['"suunnittele REST API"', '"priorisoi tiimin tehtävät"'],
             'kpn run tester': ['"testaa login-toiminto"'],
             'kpn pipeline': ['"rakenna todo-sovellus"', '"tee laskin pythonilla"'],
@@ -2747,6 +2784,7 @@
                     if (cd) cd.style.background = '#3fb950';
                     if (cl) { cl.textContent = 'Qwen2.5-Coder'; cl.style.color = '#3fb950'; }
                     if (btn) { btn.dataset.state = 'ready'; btn.textContent = '✓ Valmis'; btn.style.borderColor = '#3fb950'; btn.style.color = '#3fb950'; btn.style.cursor = 'default'; btn.title = 'Kielimalli ladattu — oma kone on valmis laskentaan'; }
+                    localStorage.setItem('kpn-coder-loaded', 'true');
                 }
                 if (msg.includes('[Coder]') && msg.includes('Syöte:')) {
                     // Pipeline piiloon kun generointi alkaa
@@ -2833,7 +2871,11 @@
             }
         }
 
-        // Agents-sivun coder-node käynnistetään "Alusta laskentasolmu" -napista tai kpn load -komennolla
+        // Automaattinen uudelleenkäynnistys: jos malli oli ladattu ennen refreshiä, ladataan se uudelleen cachesta
+        if (localStorage.getItem('kpn-coder-loaded') === 'true') {
+            // Pieni viive jotta UI ehtii piirtyä
+            setTimeout(() => ensureCoderNode(), 500);
+        }
 
         // Laskentasolmun käynnistys/pysäytys -nappi
         let computeAbortController = null;