Remote start stop control

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

network-poc/build-binaries.sh

@@ -4,19 +4,28 @@ set -e
 
 SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
 OUT="$SCRIPT_DIR/frontend/public/download"
+HASH_FILE="$OUT/.build-hash"
 mkdir -p "$OUT"
 
+# Tarkistetaan onko native-node muuttunut edellisen buildin jälkeen
+CURRENT_HASH=$(git -C "$SCRIPT_DIR" log -1 --format=%H -- native-node/ Cargo.toml Cargo.lock)
+if [ -f "$HASH_FILE" ] && [ "$(cat "$HASH_FILE")" = "$CURRENT_HASH" ]; then
+    echo "=== Kipinä Node — ei muutoksia, ohitetaan build ==="
+    ls -lh "$OUT"/kipina-node-* 2>/dev/null || true
+    exit 0
+fi
+
 echo "=== Kipinä Node — Binary Build ==="
 
 # macOS ARM (natiivi)
-echo "[1/3] macOS ARM64..."
+echo "[1/4] macOS ARM64..."
 cd "$SCRIPT_DIR"
 cargo build --release -p native-node --no-default-features 2>&1 | tail -1
 cp target/release/native-node "$OUT/kipina-node-macos-arm64"
 echo "      $(ls -lh "$OUT/kipina-node-macos-arm64" | awk '{print $5}')"
 
 # Linux x86_64 (Docker)
-echo "[2/3] Linux x86_64..."
+echo "[2/4] Linux x86_64..."
 docker run --rm \
     -v "$SCRIPT_DIR":/app -w /app \
     --platform linux/amd64 \
@@ -25,7 +34,7 @@ docker run --rm \
 echo "      $(ls -lh "$OUT/kipina-node-linux-x86_64" | awk '{print $5}')"
 
 # Linux ARM64 (Docker)
-echo "[3/3] Linux ARM64..."
+echo "[3/4] Linux ARM64..."
 docker run --rm \
     -v "$SCRIPT_DIR":/app -w /app \
     --platform linux/arm64 \
@@ -33,6 +42,18 @@ docker run --rm \
     bash -c "apt-get update -qq && apt-get install -y -qq pkg-config libssl-dev >/dev/null 2>&1 && cargo build --release -p native-node --no-default-features 2>&1 | tail -1 && cp target/release/native-node /app/frontend/public/download/kipina-node-linux-arm64"
 echo "      $(ls -lh "$OUT/kipina-node-linux-arm64" | awk '{print $5}')"
 
+# Windows x86_64 (Docker + mingw-w64)
+echo "[4/4] Windows x86_64..."
+docker run --rm \
+    -v "$SCRIPT_DIR":/app -w /app \
+    --platform linux/amd64 \
+    rust:slim \
+    bash -c "apt-get update -qq && apt-get install -y -qq gcc-mingw-w64-x86-64 pkg-config libssl-dev >/dev/null 2>&1 && rustup target add x86_64-pc-windows-gnu && cargo build --release -p native-node --no-default-features --target x86_64-pc-windows-gnu 2>&1 | tail -1 && cp target/x86_64-pc-windows-gnu/release/native-node.exe /app/frontend/public/download/kipina-node-windows-x86_64.exe"
+echo "      $(ls -lh "$OUT/kipina-node-windows-x86_64.exe" | awk '{print $5}')"
+
+# Tallennetaan onnistuneen buildin hash
+echo "$CURRENT_HASH" > "$HASH_FILE"
+
 echo ""
 echo "=== Binäärit valmiina ==="
 ls -lh "$OUT"/kipina-node-*

network-poc/deploy-with-native.sh

@@ -0,0 +1,13 @@
+#!/bin/bash
+# Deploy + native-node-binäärien käännös (jos muutoksia)
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
+
+echo "=== Kipinä Studio Deploy (+ native binäärit) ==="
+
+# Käännetään native-node-binäärit (ohittaa automaattisesti jos ei muutoksia)
+"$SCRIPT_DIR/build-binaries.sh"
+
+# Ajetaan normaali deploy
+exec "$SCRIPT_DIR/deploy.sh"

network-poc/deploy.sh

@@ -40,20 +40,20 @@ echo "[1/4] Rakennetaan image lokaalisti..."
 docker build --platform linux/amd64 -f Dockerfile.prod -t kipina-agentic:latest .
 
 # 2. Tallennetaan tiedostoon
-echo "[2/5] Pakataan image..."
+echo "[2/4] Pakataan image..."
 docker save kipina-agentic:latest | gzip > /tmp/kipina-agentic.tar.gz
 echo "       Koko: $(du -h /tmp/kipina-agentic.tar.gz | cut -f1)"
 
 # 3. Siirretään palvelimelle
-echo "[3/5] Siirretään palvelimelle..."
+echo "[3/4] Siirretään palvelimelle..."
 scp $SSH_OPTS /tmp/kipina-agentic.tar.gz $SERVER:/tmp/
 scp $SSH_OPTS docker-compose.prod.yml Caddyfile.prod $SERVER:$REMOTE_DIR/
 
 # 4. Ladataan image ja käynnistetään
-echo "[4/5] Ladataan image palvelimella..."
+echo "[4/4] Ladataan image palvelimella..."
 ssh $SSH_OPTS $SERVER "gunzip -c /tmp/kipina-agentic.tar.gz | docker load && rm /tmp/kipina-agentic.tar.gz"
 
-echo "[5/5] Käynnistetään palvelut uudelleen..."
+echo "[4/4] Käynnistetään palvelut uudelleen..."
 ssh $SSH_OPTS $SERVER "cd $REMOTE_DIR && docker compose -f docker-compose.prod.yml down && docker compose -f docker-compose.prod.yml up -d"
 
 echo "=== Valmis! https://kipina.studio ==="

network-poc/frontend/public/download/.build-hash

@@ -0,0 +1 @@
+fc5fac8455bbb502ae98e22408bb92f9072cdf8a

network-poc/frontend/public/kipina-node

@@ -4,7 +4,6 @@ set -e
 
 BASE_URL="https://kipina.studio/download"
 HUB_URL="${KIPINA_HUB:-wss://kipina.studio/ws}"
-MODEL="${KIPINA_MODEL:-qwen2.5-coder:3b}"
 OLLAMA_URL="${OLLAMA_URL:-http://localhost:11434}"
 
 # Tunnista OS ja arkkitehtuuri
@@ -96,26 +95,35 @@ fi
 echo ""
 echo "  Hub: $HUB_URL"
 echo "  Ollama: $OLLAMA_URL"
-echo "  Malli: $MODEL"
-
-# Lataa malli (toimii sekä lokaalilla binäärillä että API:n kautta)
-if ! curl -s "$OLLAMA_URL/api/tags" | grep -q "$MODEL"; then
-    echo "  Ladataan $MODEL..."
-    curl -s "$OLLAMA_URL/api/pull" -d "{\"name\":\"$MODEL\"}" > /dev/null
+if [ -n "$KIPINA_MODEL" ]; then
+    echo "  Malli: $KIPINA_MODEL (Ympäristömuuttujasta)"
 fi
-echo "  ✓ Malli $MODEL valmis"
 
 # Lataa binääri
 BIN_PATH="./kipina-node-bin"
+if [ -f "$BIN_PATH" ]; then
+    echo ""
+    read -p "  Löydettiin vanha kipina-node-bin lokaalisti. Haluatko poistaa sen ja ladata uusimman version? [y/N] " -r DEL_CHOICE
+    if [[ "$DEL_CHOICE" =~ ^[Yy]$ ]]; then
+        rm -f "$BIN_PATH"
+        echo "  ✓ Vanha binääri poistettu."
+    fi
+fi
+
 if [ ! -f "$BIN_PATH" ]; then
-    echo "  Ladataan $BINARY..."
+    echo "  Ladataan tuorein $BINARY..."
     curl -sSL "$BASE_URL/$BINARY" -o "$BIN_PATH"
     chmod +x "$BIN_PATH"
 fi
 
 echo ""
-echo "  ✓ Yhdistetään laskentaverkkoon..."
+echo "  ✓ Siirrytään Kipinä Noden hallintaan..."
 echo "    Ctrl+C pysäyttää"
 echo ""
 
-HUB_URL="$HUB_URL" OLLAMA_URL="$OLLAMA_URL" OLLAMA_MODEL="$MODEL" exec "$BIN_PATH"
+if [ -n "$KIPINA_MODEL" ]; then
+    export OLLAMA_MODEL="$KIPINA_MODEL"
+fi
+export HUB_URL="$HUB_URL"
+export OLLAMA_URL="$OLLAMA_URL"
+exec "$BIN_PATH"

network-poc/hub/src/db.rs

@@ -49,6 +49,13 @@ impl NodeDb {
                 INSERT INTO _schema_version VALUES (3);
             ");
         }
+        if version < 4 {
+            let _ = conn.execute_batch("
+                ALTER TABLE node_sessions ADD COLUMN is_paused BOOLEAN DEFAULT 0;
+                DELETE FROM _schema_version;
+                INSERT INTO _schema_version VALUES (4);
+            ");
+        }
 
         conn.execute_batch("
             CREATE TABLE IF NOT EXISTS node_sessions (
@@ -84,7 +91,10 @@ impl NodeDb {
                 has_webgpu BOOLEAN,
 
                 -- Tehtävätilastot
-                tasks_completed INTEGER DEFAULT 0
+                tasks_completed INTEGER DEFAULT 0,
+                
+                -- Ohjaustilat
+                is_paused BOOLEAN DEFAULT 0
             );
 
             CREATE TABLE IF NOT EXISTS pair_results (
@@ -183,6 +193,14 @@ impl NodeDb {
         );
     }
 
+    pub fn update_session_status(&self, node_id: u64, is_paused: bool) {
+        let conn = self.conn.lock().unwrap_or_else(|e| e.into_inner());
+        let _ = conn.execute(
+            "UPDATE node_sessions SET is_paused = ?1 WHERE node_id = ?2 AND disconnected_at IS NULL",
+            params![is_paused as i64, node_id as i64],
+        );
+    }
+
     /// Sulkee saman IP:n viewer-sessiot kun aktiivinen node liittyy
     pub fn close_viewers_by_ip(&self, ip: &str) {
         let conn = self.conn.lock().unwrap_or_else(|e| e.into_inner());
@@ -216,7 +234,7 @@ impl NodeDb {
             "SELECT id, node_id, ip, node_type, connected_at, disconnected_at,
                     platform, hostname, os, cpu_cores, cpu_model, ram_mb,
                     gpu_name, gpu_vendor, gpu_backend, vram_total_mb, gpu_temp_c, gpu_util_pct,
-                    allocated_gb, selected_task, has_webgpu, tasks_completed
+                    allocated_gb, selected_task, has_webgpu, tasks_completed, is_paused
              FROM node_sessions ORDER BY id DESC LIMIT ?1"
         ).unwrap();
 
@@ -244,6 +262,7 @@ impl NodeDb {
                 "selected_task": row.get::<_, Option<String>>(19)?,
                 "has_webgpu": row.get::<_, Option<bool>>(20)?,
                 "tasks_completed": row.get::<_, i64>(21)?,
+                "is_paused": row.get::<_, Option<bool>>(22)?.unwrap_or(false),
             }))
         }).unwrap().filter_map(|r| r.ok()).collect()
     }

network-poc/hub/src/main.rs

@@ -25,7 +25,7 @@ const ALLOWED_ORIGINS: &[&str] = &[
 ];
 
 // Sallitut viestityyypit clientilta
-const ALLOWED_MSG_TYPES: &[&str] = &["auth", "result", "pair_done", "llm_chunk", "llm_done", "llm_error", "download_progress", "user_text", "single_tokenize_done"];
+const ALLOWED_MSG_TYPES: &[&str] = &["auth", "result", "pair_done", "llm_chunk", "llm_done", "llm_error", "download_progress", "user_text", "single_tokenize_done", "status_update"];
 
 struct AppState {
     next_node_id: Mutex<u64>,
@@ -40,9 +40,12 @@ struct AppState {
     node_ips: Mutex<HashMap<u64, IpAddr>>,
     node_tasks: Mutex<HashMap<u64, String>>,  // node_id → selected_task
     node_types: Mutex<HashMap<u64, String>>,  // node_id → "native" | "browser"
+    node_paused: Mutex<std::collections::HashSet<u64>>, // node_id → onko tauolla
     node_busy: Mutex<std::collections::HashSet<u64>>,  // Solmut joilla on aktiivinen tehtävä
     pending_task_ids: Mutex<std::collections::HashSet<String>>,  // Hubin jakamat task_id:t (gamification-validointi)
+    pending_responses: Mutex<HashMap<String, tokio::sync::oneshot::Sender<serde_json::Value>>>,  // task_id → oneshot API-vastaukselle
     api_rate_limits: Mutex<HashMap<IpAddr, (std::time::Instant, u32)>>,  // IP → (ikkuna-alku, pyyntömäärä)
+    node_models: tokio::sync::RwLock<HashMap<u64, serde_json::Value>>, // node_id → ollama tags JSON
     db: db::NodeDb,
 }
 
@@ -80,6 +83,8 @@ tr:hover td { background:#1c2333; }
 .table-wrap { overflow-x:auto; max-height:70vh; overflow-y:auto; }
 .online { color:var(--green); }
 .offline { color:#8b949e; }
+.pause-btn { background:var(--panel); border:1px solid var(--border); color:var(--text); padding:4px 8px; border-radius:4px; cursor:pointer; font-size:12px; }
+.pause-btn:hover { border-color:var(--yellow); }
 </style>
 </head>
 <body>
@@ -91,6 +96,7 @@ tr:hover td { background:#1c2333; }
 <div class="tabs">
     <div class="tab active" onclick="showTab('sessions')">Sessiot</div>
     <div class="tab" onclick="showTab('pairs')">Tokenisointiparit</div>
+    <div class="tab" onclick="showTab('hardware')">Laitteisto & Mallit</div>
 </div>
 
 <div id="sessions" class="panel active">
@@ -99,12 +105,12 @@ tr:hover td { background:#1c2333; }
         <colgroup>
             <col style="width:35px"><col style="width:85px"><col style="width:95px"><col style="width:65px"><col style="width:110px"><col style="width:80px">
             <col style="width:65px"><col style="width:40px"><col style="width:70px"><col style="width:90px"><col style="width:60px">
-            <col style="width:65px"><col style="width:40px"><col style="width:130px"><col style="width:60px">
+            <col style="width:65px"><col style="width:40px"><col style="width:130px"><col style="width:60px"><col style="width:80px">
         </colgroup>
         <thead><tr>
             <th>ID</th><th>Tila</th><th>Tehtävä</th><th>Tyyppi</th><th>IP</th><th>Alusta</th>
             <th>OS</th><th>CPU</th><th>RAM</th><th>GPU</th><th>VRAM</th>
-            <th>WebGPU</th><th>Teht.</th><th>Yhdistetty</th><th>Kesto</th>
+            <th>WebGPU</th><th>Teht.</th><th>Yhdistetty</th><th>Kesto</th><th>Toiminnot</th>
         </tr></thead><tbody id="sessions-body"></tbody></table>
     </div>
 </div>
@@ -118,6 +124,19 @@ tr:hover td { background:#1c2333; }
     </div>
 </div>
 
+<div id="hardware" class="panel">
+    <div class="stats-grid" id="hardware-stats"></div>
+    <h2 style="margin-top: 10px; margin-bottom: 10px; color: var(--accent); font-size: 16px;">Käytettävissä olevat paikalliset kielimallit</h2>
+    <div class="table-wrap">
+        <table>
+            <thead><tr>
+                <th>Nimi</th><th>Koko</th><th>Parametrit</th>
+            </tr></thead>
+            <tbody id="models-body"></tbody>
+        </table>
+    </div>
+</div>
+
 <script>
 function showTab(name) {
     document.querySelectorAll('.panel').forEach(p => p.classList.remove('active'));
@@ -149,12 +168,16 @@ function duration(start, end) {
 }
 
 async function load() {
-    const [statsRes, sessionsRes, pairsRes] = await Promise.all([
-        fetch('/api/stats'), fetch('/api/sessions'), fetch('/api/pairs')
+    const [statsRes, sessionsRes, pairsRes, hwRes, modelsRes] = await Promise.all([
+        fetch('/api/stats'), fetch('/api/sessions'), fetch('/api/pairs'),
+        fetch('/api/v1/hardware').catch(() => ({json: async()=>({gpu_name:'', vram_mb:0, ram_mb:0})})),
+        fetch('/api/v1/ollama/tags').catch(() => ({json: async()=>({models:[]})}))
     ]);
     const stats = await statsRes.json();
     const sessions = await sessionsRes.json();
     const pairs = await pairsRes.json();
+    const hw = await hwRes.json().catch(() => ({gpu_name:'', vram_mb:0, ram_mb:0}));
+    const modelsData = await modelsRes.json().catch(() => ({models:[]}));
 
     // Versio
     if (stats.version) document.getElementById('admin-version').textContent = 'v' + stats.version;
@@ -190,9 +213,17 @@ async function load() {
     document.getElementById('sessions-body').innerHTML = sessions.map(s => {
         const online = !s.disconnected_at;
         const isViewer = s.selected_task === 'viewer';
-        const status = online
-            ? (isViewer ? '<span style="color:#d29922">CONNECTED</span>' : '<span class="online">ACTIVE</span>')
-            : '<span class="offline">offline</span>';
+        let status;
+        if (!online) {
+            status = '<span class="offline">offline</span>';
+        } else if (isViewer) {
+            status = '<span style="color:#d29922">CONNECTED</span>';
+        } else if (s.is_paused) {
+            status = '<span style="color:#8b949e">PAUSED</span>';
+        } else {
+            status = '<span class="online">ACTIVE</span>';
+        }
+        
         const typeBadge = s.node_type === 'native' ? badge('native','blue') : badge('browser','yellow');
         const taskColor = isViewer ? 'yellow' : s.selected_task === 'tokenize' ? 'green' : 'blue';
         const taskBadge = badge(taskNames[s.selected_task] || s.selected_task || '?', taskColor);
@@ -205,11 +236,16 @@ async function load() {
         const os = s.os || '-';
         const time = s.connected_at ? new Date(s.connected_at).toLocaleString('fi-FI') : '';
         const dur = duration(s.connected_at, s.disconnected_at);
+        const actionBtn = online && !isViewer 
+            ? `<button class="pause-btn" onclick="togglePause(${s.node_id}, ${s.is_paused})">${s.is_paused ? '▶ Työhön' : '⏸ Tauolle'}</button>` 
+            : '';
+            
         return `<tr>
             <td>${s.node_id}</td><td>${status}</td><td>${taskBadge}</td><td>${typeBadge}</td><td>${s.ip}</td>
             <td>${plat}</td><td>${os}</td><td>${cores}</td><td>${ram}</td>
             <td>${gpu}</td><td>${vram}</td><td>${gpuBadge}</td>
             <td>${s.tasks_completed}</td><td>${time}</td><td>${dur}</td>
+            <td>${actionBtn}</td>
         </tr>`;
     }).join('');
 
@@ -229,6 +265,35 @@ async function load() {
             <td>${p.duration_ms||0}ms</td>
         </tr>`;
     }).join('');
+
+    // Hardware
+    document.getElementById('hardware-stats').innerHTML = [
+        {v: hw.gpu_name || '-', l: 'Paikallinen GPU tila'},
+        {v: hw.vram_mb ? hw.vram_mb + ' MB' : '-', l: 'GPU Muisti (VRAM)'},
+        {v: hw.ram_mb ? hw.ram_mb + ' MB' : '-', l: 'RAM'},
+    ].map(s => `<div class="stat-card"><div class="val">${s.v}</div><div class="label">${s.l}</div></div>`).join('');
+
+    // Models
+    document.getElementById('models-body').innerHTML = (modelsData.models || []).map(m => {
+        const sizeGb = (m.size / (1024*1024*1024)).toFixed(2) + ' GB';
+        const params = m.details?.parameter_size || '-';
+        return `<tr>
+            <td><strong>${m.name}</strong></td>
+            <td>${sizeGb}</td>
+            <td>${params}</td>
+        </tr>`;
+    }).join('');
+}
+
+async function togglePause(nodeId, isPaused) {
+    try {
+        await fetch('/api/v1/control/' + nodeId, {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify({ action: isPaused ? 'resume' : 'pause' })
+        });
+        load(); // virkistetään
+    } catch(e) { console.error(e); }
 }
 
 load();
@@ -262,9 +327,12 @@ async fn main() {
         node_ips: Mutex::new(HashMap::new()),
         node_tasks: Mutex::new(HashMap::new()),
         node_types: Mutex::new(HashMap::new()),
+        node_paused: Mutex::new(std::collections::HashSet::new()),
         node_busy: Mutex::new(std::collections::HashSet::new()),
         pending_task_ids: Mutex::new(std::collections::HashSet::new()),
+        pending_responses: Mutex::new(HashMap::new()),
         api_rate_limits: Mutex::new(HashMap::new()),
+        node_models: tokio::sync::RwLock::new(HashMap::new()),
         db: db::NodeDb::new(&std::env::var("DATABASE_PATH").unwrap_or_else(|_| "nodes.db".to_string())),
     });
 
@@ -381,6 +449,7 @@ async fn main() {
         .route("/api/pairs", get(api_pairs))
         .route("/api/stats", get(api_stats))
         .route("/api/v1/chat/completions", axum::routing::post(api_chat_completions))
+        .route("/api/v1/control/:id", axum::routing::post(api_control_node))
         .route("/api/v1/model", axum::routing::post(api_change_model))
         .route("/api/v1/hardware", get(api_hardware))
         .route("/api/v1/ollama/tags", get(api_ollama_tags))
@@ -400,6 +469,26 @@ async fn main() {
     axum::serve(listener, app.into_make_service_with_connect_info::<SocketAddr>()).await.unwrap();
 }
 
+async fn api_control_node(
+    headers: axum::http::HeaderMap,
+    axum::extract::State(state): axum::extract::State<Arc<AppState>>,
+    axum::extract::Path(id): axum::extract::Path<u64>,
+    axum::Json(payload): axum::Json<serde_json::Value>,
+) -> axum::response::Response {
+    if !check_admin_auth(&headers) { return admin_unauthorized(); }
+    let action = payload.get("action").and_then(|v| v.as_str()).unwrap_or("");
+    if action == "pause" || action == "resume" {
+        let msg = serde_json::json!({ "type": "control", "action": action });
+        let channels = state.node_channels.read().await;
+        if let Some(tx) = channels.get(&id) {
+            let _ = tx.send(msg.to_string());
+            tracing::info!("Lähetetty control: {} solmulle {}", action, id);
+            return axum::Json(serde_json::json!({"status": "ok"})).into_response();
+        }
+    }
+    (axum::http::StatusCode::BAD_REQUEST, "Invalid action or node offline").into_response()
+}
+
 async fn api_sessions(
     headers: axum::http::HeaderMap,
     axum::extract::State(state): axum::extract::State<Arc<AppState>>,
@@ -730,6 +819,9 @@ async fn handle_socket(socket: WebSocket, state: Arc<AppState>, ip: IpAddr) {
                 }
                 state.node_tasks.lock().unwrap().insert(node_id, selected_task);
                 state.node_types.lock().unwrap().insert(node_id, node_type.to_string());
+                // Uudelleen-kirjautuessa nollataan tauko
+                state.node_paused.lock().unwrap().remove(&node_id);
+                state.db.update_session_status(node_id, false);
 
                 if node_type == "native" {
                     let sys = json.get("system");
@@ -743,6 +835,12 @@ async fn handle_socket(socket: WebSocket, state: Arc<AppState>, ip: IpAddr) {
                         node_id, ip, hostname, os, cores, ram, allocated
                     );
 
+                    // Tallennetaan välitetyt mallit muistiin
+                    if let Some(models) = json.get("models") {
+                        let mut nm = state.node_models.write().await;
+                        nm.insert(node_id, models.clone());
+                    }
+
                     if let Some(gpus) = json.get("gpus").and_then(|v| v.as_array()) {
                         for gpu in gpus {
                             tracing::info!(
@@ -780,6 +878,18 @@ async fn handle_socket(socket: WebSocket, state: Arc<AppState>, ip: IpAddr) {
             });
             let _ = state.stats_tx.send(join_msg.to_string());
 
+        } else if msg_type == "status_update" {
+            let status = json.get("status").and_then(|v| v.as_str()).unwrap_or("active");
+            if status == "paused" {
+                state.node_paused.lock().unwrap().insert(node_id);
+                state.db.update_session_status(node_id, true);
+                tracing::info!("Solmu {} ({}) asettui tauolle.", node_id, ip);
+            } else {
+                state.node_paused.lock().unwrap().remove(&node_id);
+                state.db.update_session_status(node_id, false);
+                tracing::info!("Solmu {} ({}) on taas aktiivinen.", node_id, ip);
+            }
+            broadcast_stats(&state).await;
         } else if msg_type == "result" {
             tracing::info!("Solmu {} sai tuloksen: {}", node_id, text);
             {
@@ -875,11 +985,18 @@ async fn handle_socket(socket: WebSocket, state: Arc<AppState>, ip: IpAddr) {
         } else if msg_type == "llm_done" {
             // Vapautetaan solmu ja tarkistetaan task_id:n aitous
             state.node_busy.lock().unwrap().remove(&node_id);
-            let valid_task = if let Some(tid) = json.get("task_id").and_then(|v| v.as_str()) {
-                state.pending_task_ids.lock().unwrap().remove(tid)
+            let task_id = json.get("task_id").and_then(|v| v.as_str()).map(|s| s.to_string());
+            let valid_task = if let Some(ref tid) = task_id {
+                state.pending_task_ids.lock().unwrap().remove(tid.as_str())
             } else {
                 false
             };
+
+            // Jos API-pyyntö odottaa tätä vastausta, reititetään suoraan oneshot-kanavaan
+            let api_sender = task_id.as_ref().and_then(|tid| {
+                state.pending_responses.lock().unwrap().remove(tid)
+            });
+
             {
                 let mut json = json;
                 if let Some(obj) = json.as_object_mut() {
@@ -899,6 +1016,12 @@ async fn handle_socket(socket: WebSocket, state: Arc<AppState>, ip: IpAddr) {
                     state.db.increment_tasks(node_id);
                     obj.insert("node_id".to_string(), serde_json::json!(node_id));
                 }
+
+                if let Some(sender) = api_sender {
+                    // API-pyyntö: reititetään vastaus suoraan odottajalle
+                    let _ = sender.send(json.clone());
+                }
+                // UI-broadcast jatkuu normaalisti
                 let _ = state.stats_tx.send(json.to_string());
 
                 let active_incentives = state.feature_flags.read().await.get("Insentiivit").copied().unwrap_or(false);
@@ -908,7 +1031,7 @@ async fn handle_socket(socket: WebSocket, state: Arc<AppState>, ip: IpAddr) {
                 {
                     let mut task_count = state.total_tasks.lock().unwrap();
                     *task_count += 1;
-                    
+
                     if active_incentives && valid_task {
                         let mut tokens = state.nodes_tokens.lock().unwrap();
                         let balance = tokens.entry(node_id).or_insert(0);
@@ -916,7 +1039,7 @@ async fn handle_socket(socket: WebSocket, state: Arc<AppState>, ip: IpAddr) {
                         current_balance = *balance;
                     }
                 }
-                
+
                 if active_incentives && ui_sync {
                     if let Some(tx) = state.node_channels.read().await.get(&node_id) {
                          let msg = serde_json::json!({
@@ -926,45 +1049,50 @@ async fn handle_socket(socket: WebSocket, state: Arc<AppState>, ip: IpAddr) {
                          let _ = tx.send(msg.to_string());
                     }
                 }
-                
+
                 broadcast_stats(&state).await;
             }
         } else if msg_type == "llm_error" {
             state.node_busy.lock().unwrap().remove(&node_id);
-            if let Some(tid) = json.get("task_id").and_then(|v| v.as_str()) {
-                state.pending_task_ids.lock().unwrap().remove(tid);
+            let task_id = json.get("task_id").and_then(|v| v.as_str()).map(|s| s.to_string());
+            if let Some(ref tid) = task_id {
+                state.pending_task_ids.lock().unwrap().remove(tid.as_str());
             }
+            // Jos API-pyyntö odottaa, reititetään virhe oneshot-kanavaan
+            let api_sender = task_id.as_ref().and_then(|tid| {
+                state.pending_responses.lock().unwrap().remove(tid)
+            });
             {
                 let mut json = json;
                 if let Some(obj) = json.as_object_mut() {
                     obj.insert("node_id".to_string(), serde_json::json!(node_id));
                 }
+                if let Some(sender) = api_sender {
+                    let _ = sender.send(json.clone());
+                }
                 let _ = state.stats_tx.send(json.to_string());
             }
         } else if msg_type == "user_text" {
-            // Käyttäjän lähettämä teksti — broadcastataan pair_taskina ja llm_promptina
+            // Käyttäjän lähettämä teksti — kohdennettu reititys lähettäjäsolmulle
             let text = json.get("text").and_then(|v| v.as_str()).unwrap_or("").to_string();
             let task_type = json.get("task_type").and_then(|v| v.as_str()).unwrap_or("tokenize");
             if !text.is_empty() {
                 let preview: String = text.chars().take(80).collect();
                 tracing::info!("Solmu {} lähetti oman tekstin ({}): \"{}\"", node_id, task_type, preview);
-                match task_type {
-                    "tokenize" => {
-                        let msg = serde_json::json!({
-                            "type": "single_tokenize",
-                            "text": text,
-                        });
-                        let _ = state.stats_tx.send(msg.to_string());
-                    }
-                    _ => {
-                        // LLM-prompti: lähetetään VAIN valitulle mallille, ei kaikille (välttää turhaa ruuhkaa ja busy-tiloja)
-                        let prompt = serde_json::json!({
-                            "type": "llm_prompt",
-                            "prompt": text,
-                            "model": task_type,
-                        });
-                        let _ = state.stats_tx.send(prompt.to_string());
-                    }
+                let msg = match task_type {
+                    "tokenize" => serde_json::json!({
+                        "type": "single_tokenize",
+                        "text": text,
+                    }),
+                    _ => serde_json::json!({
+                        "type": "llm_prompt",
+                        "prompt": text,
+                        "model": task_type,
+                    }),
+                };
+                // Lähetetään takaisin lähettäjäsolmulle (käyttäjä haluaa oman tekstinsä tuloksen)
+                if let Some(tx) = state.node_channels.read().await.get(&node_id) {
+                    let _ = tx.send(msg.to_string());
                 }
             }
         }
@@ -989,6 +1117,8 @@ async fn handle_socket(socket: WebSocket, state: Arc<AppState>, ip: IpAddr) {
         vram.remove(&node_id);
     }
     state.node_types.lock().unwrap().remove(&node_id);
+    state.node_paused.lock().unwrap().remove(&node_id);
+    state.node_models.write().await.remove(&node_id);
     tracing::info!("Solmu {} ({}) poistui verkosta.", node_id, ip);
     broadcast_stats(&state).await;
     sender_task.abort();
@@ -1009,7 +1139,16 @@ struct ChatCompletionResponse {
     tokens_generated: u64,
 }
 
-async fn api_ollama_tags() -> axum::response::Response {
+async fn api_ollama_tags(
+    axum::extract::State(state): axum::extract::State<Arc<AppState>>,
+) -> axum::response::Response {
+    // Haetaan natiivisolmun tila muistista — priorisoidaan aito verkko-solmu
+    let node_models = state.node_models.read().await;
+    if let Some((_, models_json)) = node_models.iter().next() {
+        return axum::Json(models_json.clone()).into_response();
+    }
+
+    // Fallback: Haetaan lokaalista infra-Ollamasta ohjaimesta käsin (esim dev ympäristö)
     let ollama_url = std::env::var("OLLAMA_URL").unwrap_or_else(|_| "http://ollama:11434".to_string());
     match reqwest::get(format!("{}/api/tags", ollama_url)).await {
         Ok(resp) => {
@@ -1033,11 +1172,10 @@ async fn api_hardware(
     });
 
     let (mut vram_mb, mut gpu_name, ram_mb) = if let Some(s) = native {
-        let gpus = s.get("gpus").and_then(|v| v.as_array());
-        let gpu = gpus.and_then(|g| g.first());
-        let vram = gpu.and_then(|g| g.get("vram_total_mb")).and_then(|v| v.as_u64()).unwrap_or(0);
-        let name = gpu.and_then(|g| g.get("name")).and_then(|v| v.as_str()).unwrap_or("").to_string();
-        let ram = s.get("system").and_then(|v| v.get("ram_total_mb")).and_then(|v| v.as_u64()).unwrap_or(0);
+        // Tieto on tietokannassa litteänä
+        let vram = s.get("vram_total_mb").and_then(|v| v.as_u64()).unwrap_or(0);
+        let name = s.get("gpu_name").and_then(|v| v.as_str()).unwrap_or("").to_string();
+        let ram = s.get("ram_mb").and_then(|v| v.as_u64()).unwrap_or(0);
         (vram, name, ram)
     } else {
         (0, String::new(), 0)
@@ -1106,7 +1244,9 @@ async fn api_chat_completions(
         let tasks = state.node_tasks.lock().unwrap();
         let _busy = state.node_busy.lock().unwrap();
         let node_types = state.node_types.lock().unwrap();
-        let matching: Vec<u64> = tasks.iter().filter(|(_, task)| {
+        let paused = state.node_paused.lock().unwrap();
+        let matching: Vec<u64> = tasks.iter().filter(|(k, task)| {
+            if paused.contains(k) { return false; } // Ei sallita tauotettuja
             // Eksakti match tai qwen-perheen yhteensopivuus (selain: qwen-coder-05b, natiivi: qwen2.5-coder:7b)
             let req_model = payload.model.to_lowercase();
             let node_task = task.to_lowercase();
@@ -1161,8 +1301,9 @@ async fn api_chat_completions(
         msg.as_object_mut().unwrap().insert("max_tokens".to_string(), serde_json::json!(mt));
     }
 
-    // Odotuskanava valmiiksi (solmu palauttaa tuloksen stats_tx kautta)
-    let mut rx = state.stats_tx.subscribe();
+    // Oneshot-kanava: solmu palauttaa tuloksen suoraan tälle pyynnölle
+    let (resp_tx, resp_rx) = tokio::sync::oneshot::channel::<serde_json::Value>();
+    state.pending_responses.lock().unwrap().insert(payload.task_id.clone(), resp_tx);
 
     // Kohdennettu reititys: lähetetään AI-tehtävä suoraan VAIN valitulle solmulle
     {
@@ -1171,48 +1312,34 @@ async fn api_chat_completions(
             let _ = tx.send(msg.to_string());
             tracing::info!("Reititettiin API-pyyntö solmulle {} (Malli: {})", target_node_id, payload.model);
         } else {
+             state.pending_responses.lock().unwrap().remove(&payload.task_id);
              return (axum::http::StatusCode::SERVICE_UNAVAILABLE, "Verkkovirhe: solmun yhteys katkesi reitityksen aikana").into_response();
         }
     }
 
-    let timeout = tokio::time::timeout(std::time::Duration::from_secs(600), async move {
-        loop {
-            let msg_str = match rx.recv().await {
-                Ok(msg) => msg,
-                Err(broadcast::error::RecvError::Lagged(n)) => {
-                    tracing::debug!("API-kanava lagged {} viestiä", n);
-                    continue;
-                }
-                Err(_) => return Ok(None), // Kanava suljettu
-            };
-            if let Ok(v) = serde_json::from_str::<serde_json::Value>(&msg_str) {
-                if v["type"].as_str() == Some("llm_done") {
-                    if let Some(tid) = v["task_id"].as_str() {
-                        if tid == payload.task_id {
-                            return Ok(Some(ChatCompletionResponse {
-                                response: v["response"].as_str().unwrap_or("").to_string(),
-                                model: v["model"].as_str().unwrap_or("").to_string(),
-                                tokens_generated: v["tokens_generated"].as_u64().unwrap_or(0),
-                            }));
-                        }
-                    }
-                } else if v["type"].as_str() == Some("llm_error") {
-                    if let Some(tid) = v["task_id"].as_str() {
-                        if tid == payload.task_id {
-                            return Err(v["error"].as_str().unwrap_or("Määrittelemätön virhe solmussa").to_string());
-                        }
-                    }
-                }
-            }
-        }
-        #[allow(unreachable_code)]
-        Ok(None)
-    }).await;
+    let timeout = tokio::time::timeout(std::time::Duration::from_secs(600), resp_rx).await;
 
     match timeout {
-        Ok(Ok(Some(res))) => axum::Json(res).into_response(),
-        Ok(Ok(None)) => (axum::http::StatusCode::INTERNAL_SERVER_ERROR, "Verkkovirhe: yhteys katkesi").into_response(),
-        Ok(Err(err)) => (axum::http::StatusCode::CONFLICT, err).into_response(),
-        Err(_) => (axum::http::StatusCode::GATEWAY_TIMEOUT, "Aikakatkaisu: solmu ei saanut tehtävää ajoissa valmiiksi").into_response(),
+        Ok(Ok(v)) => {
+            if v["type"].as_str() == Some("llm_error") {
+                let err = v["error"].as_str().unwrap_or("Määrittelemätön virhe solmussa").to_string();
+                (axum::http::StatusCode::CONFLICT, err).into_response()
+            } else {
+                axum::Json(ChatCompletionResponse {
+                    response: v["response"].as_str().unwrap_or("").to_string(),
+                    model: v["model"].as_str().unwrap_or("").to_string(),
+                    tokens_generated: v["tokens_generated"].as_u64().unwrap_or(0),
+                }).into_response()
+            }
+        }
+        Ok(Err(_)) => {
+            // Oneshot-kanava sulkeutui (solmu katosi)
+            state.pending_responses.lock().unwrap().remove(&payload.task_id);
+            (axum::http::StatusCode::INTERNAL_SERVER_ERROR, "Verkkovirhe: yhteys katkesi").into_response()
+        }
+        Err(_) => {
+            state.pending_responses.lock().unwrap().remove(&payload.task_id);
+            (axum::http::StatusCode::GATEWAY_TIMEOUT, "Aikakatkaisu: solmu ei saanut tehtävää ajoissa valmiiksi").into_response()
+        }
     }
 }

network-poc/native-node/Cargo.toml

@@ -19,3 +19,5 @@ wgpu = { version = "24", optional = true }
 reqwest = { version = "0.12", features = ["json"] }
 tracing = "0.1"
 tracing-subscriber = { version = "0.3", features = ["env-filter"] }
+dialoguer = "0.12.0"
+console = "0.16.3"

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

@@ -9,8 +9,6 @@ pub struct LlmEngine {
 
 impl LlmEngine {
     pub async fn load() -> Result<Self, String> {
-        let model = std::env::var("OLLAMA_MODEL").unwrap_or_else(|_| "qwen2.5-coder:3b".to_string());
-
         let client = reqwest::Client::builder()
             .timeout(std::time::Duration::from_secs(600))
             .connect_timeout(std::time::Duration::from_secs(3))
@@ -48,6 +46,13 @@ impl LlmEngine {
             })
         };
 
+        // Kysytään malli TUI:lla jos ei pakotettu ympäristöstä
+        let model = if let Ok(m) = std::env::var("OLLAMA_MODEL") {
+            m
+        } else {
+            crate::tui::select_model(&ollama_url, &client).await?
+        };
+
         tracing::info!("Ollama backend: {} | malli: {}", ollama_url, model);
         Ok(LlmEngine { ollama_url, model: RefCell::new(model), client })
     }
@@ -78,6 +83,20 @@ impl LlmEngine {
         }
     }
 
+    /// Hakee kaikki Ollamaan asennetut mallit
+    pub async fn fetch_models(&self) -> Result<serde_json::Value, String> {
+        let resp = self.client.get(format!("{}/api/tags", self.ollama_url))
+            .send()
+            .await
+            .map_err(|e| format!("Ollama tags fetch: {}", e))?;
+
+        if resp.status().is_success() {
+            resp.json().await.map_err(|e| format!("Ollama tags json: {}", e))
+        } else {
+            Err(format!("Ollama tags epäonnistui: {}", resp.status()))
+        }
+    }
+
     pub async fn generate(&self, prompt: &str, max_tokens: usize) -> Result<GenerateResult, String> {
         // System prompt tulee agentin konfiguraatiosta (frontend lähettää sen osana promptia).
         // Tässä ei yliajeta sitä — Ollama saa vain prompt-kentän.

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

@@ -5,6 +5,7 @@ use tokio_tungstenite::connect_async;
 use tokio_tungstenite::tungstenite::Message;
 
 mod inference;
+mod tui;
 
 /// GPU-tietorakenne — yhtenäinen kaikille valmistajille
 struct GpuInfo {
@@ -222,7 +223,7 @@ fn collect_system_info() -> serde_json::Value {
 }
 
 /// Koko auth-viesti hubille
-fn build_auth_message(allocated_gb: u32) -> String {
+fn build_auth_message(allocated_gb: u32, model_name: &str, models_data: Option<serde_json::Value>) -> String {
     let sys = collect_system_info();
     let gpus = collect_all_gpus();
 
@@ -239,7 +240,7 @@ fn build_auth_message(allocated_gb: u32) -> String {
         "status": "agent_ready",
         "node_type": "native",
         "allocated_gb": allocated_gb,
-        "selected_task": "qwen2.5-coder:7b",
+        "selected_task": model_name,
         "system": sys,
     });
 
@@ -251,6 +252,10 @@ fn build_auth_message(allocated_gb: u32) -> String {
         msg.as_object_mut().unwrap().insert("gpus".to_string(), json!(gpu_json));
     }
 
+    if let Some(models) = models_data {
+        msg.as_object_mut().unwrap().insert("models".to_string(), models);
+    }
+
     msg.to_string()
 }
 
@@ -321,6 +326,22 @@ async fn main() {
         }
     };
 
+    let active_model = llm.as_ref().map(|e| e.model_name()).unwrap_or_else(|| "unknown".to_string());
+    tracing::info!("Käytettävä kielimalli konfiguroitu (selected_task): {}", active_model);
+
+    // Haetaan paikalliset mallit hubille lähetettäväksi
+    let mut available_models = None;
+    if let Some(ref engine) = llm {
+        match engine.fetch_models().await {
+            Ok(models) => {
+                available_models = Some(models);
+            }
+            Err(e) => {
+                tracing::warn!("Mallilistauksen haku epäonnistui: {}", e);
+            }
+        }
+    }
+
     // Yhdistetään hubiin
     loop {
         match connect_async(&hub_url).await {
@@ -328,80 +349,121 @@ async fn main() {
                 tracing::info!("Yhdistetty hubiin!");
                 let (mut write, mut read) = ws_stream.split();
 
-                let auth = build_auth_message(allocated_gb);
+                let auth = build_auth_message(allocated_gb, &active_model, available_models.clone());
                 if write.send(Message::Text(auth)).await.is_err() {
                     tracing::error!("Auth-viestin lähetys epäonnistui");
                     continue;
                 }
 
-                while let Some(Ok(msg)) = read.next().await {
-                    if let Message::Text(text) = msg {
-                        // LLM-promptit
-                        if text.contains("llm_prompt") {
-                            if let Ok(task) = serde_json::from_str::<serde_json::Value>(&text) {
-                                let prompt = task.get("prompt").and_then(|v| v.as_str()).unwrap_or("");
-                                let task_id = task.get("task_id").and_then(|v| v.as_str()).unwrap_or("?");
-                                let msg_model = task.get("model").and_then(|v| v.as_str()).unwrap_or("");
-                                
-                                if !prompt.is_empty() && (msg_model.starts_with("qwen-coder") || msg_model.starts_with("qwen2.5-coder")) {
+                use tokio::io::AsyncBufReadExt;
+                let mut stdin_lines = tokio::io::BufReader::new(tokio::io::stdin()).lines();
 
-                                    if let Some(ref engine) = llm {
-                                        let max_tokens = task.get("max_tokens").and_then(|v| v.as_u64()).unwrap_or(1024) as usize;
-                                        let prompt_lines = prompt.lines().count();
-                                        let prompt_last: String = prompt.lines().last().unwrap_or("").chars().take(60).collect();
-                                        tracing::info!("→ task_id:{} | {}r prompti | \"{}...\"", task_id, prompt_lines, prompt_last);
-
-                                        let model_name = engine.model_name();
-                                        match engine.generate(prompt, max_tokens).await {
-                                            Ok(result) => {
-                                                tracing::info!(
-                                                    "✓ {} | {} tok | {:.0}ms | {:.1} tok/s",
-                                                    model_name,
-                                                    result.tokens_generated,
-                                                    result.duration_ms,
-                                                    result.tokens_per_sec,
-                                                );
-
-                                                // Lähetetään vain lyhyt prompti-esikatselu (ei koko kontekstia)
-                                                let prompt_short: String = prompt.lines().last().unwrap_or("").chars().take(100).collect();
-                                                let done = json!({
-                                                    "type": "llm_done",
-                                                    "prompt": prompt_short,
-                                                    "model": format!("{} (Ollama)", model_name),
-                                                    "response": result.text,
-                                                    "tokens_generated": result.tokens_generated,
-                                                    "duration_ms": result.duration_ms,
-                                                    "tokens_per_sec": (result.tokens_per_sec * 10.0).round() / 10.0,
-                                                    "load_time_ms": 0,
-                                                    "task_id": task_id,
-                                                });
-                                                let _ = write.send(Message::Text(done.to_string())).await;
-                                            }
-                                            Err(e) => {
-                                                tracing::error!("Inferenssivirhe: {}", e);
-                                            }
-                                        }
-                                    }
+                loop {
+                    tokio::select! {
+                        line = stdin_lines.next_line() => {
+                            if let Ok(Some(text)) = line {
+                                let t = text.trim();
+                                if t == "p" || t == "pause" {
+                                    tracing::info!("Tauotetaan solmun suoritus (Hub ei lähetä tehtäviä)...");
+                                    let req = json!({"type": "status_update", "status": "paused"});
+                                    let _ = write.send(Message::Text(req.to_string())).await;
+                                } else if t == "r" || t == "resume" || t == "s" {
+                                    tracing::info!("Jatketaan solmun suoritusta...");
+                                    let req = json!({"type": "status_update", "status": "active"});
+                                    let _ = write.send(Message::Text(req.to_string())).await;
                                 }
                             }
                         }
-                        // Mallin vaihto lennossa
-                        if text.contains("change_model") {
-                            if let Ok(task) = serde_json::from_str::<serde_json::Value>(&text) {
-                                if let Some(new_model) = task.get("model").and_then(|v| v.as_str()) {
-                                    if let Some(ref engine) = llm {
-                                        tracing::info!("Vaihdetaan malli: {}", new_model);
-                                        engine.set_model(new_model.to_string());
-                                        match engine.ensure_model().await {
-                                            Ok(()) => tracing::info!("Malli {} valmis!", new_model),
-                                            Err(e) => tracing::error!("Mallin lataus epäonnistui: {}", e),
+                        ws_msg = read.next() => {
+                            match ws_msg {
+                                Some(Ok(Message::Text(text))) => {
+                                    // Hubin control-viestit
+                                    if text.contains(r#""type":"control""#) {
+                                        if let Ok(task) = serde_json::from_str::<serde_json::Value>(&text) {
+                                            if let Some(action) = task.get("action").and_then(|v| v.as_str()) {
+                                                if action == "pause" {
+                                                    tracing::info!("Hub pakotti solmun tauolle (Pause)");
+                                                    let req = json!({"type": "status_update", "status": "paused"});
+                                                    let _ = write.send(Message::Text(req.to_string())).await;
+                                                } else if action == "resume" {
+                                                    tracing::info!("Hub aktivoi solmun suorituksen (Resume)");
+                                                    let req = json!({"type": "status_update", "status": "active"});
+                                                    let _ = write.send(Message::Text(req.to_string())).await;
+                                                }
+                                            }
+                                        }
+                                    }
+
+                                    // LLM-promptit
+                                    if text.contains("llm_prompt") {
+                                        if let Ok(task) = serde_json::from_str::<serde_json::Value>(&text) {
+                                            let prompt = task.get("prompt").and_then(|v| v.as_str()).unwrap_or("");
+                                            let task_id = task.get("task_id").and_then(|v| v.as_str()).unwrap_or("?");
+                                            let msg_model = task.get("model").and_then(|v| v.as_str()).unwrap_or("");
+
+                                            if !prompt.is_empty() && (msg_model.starts_with("qwen-coder") || msg_model.starts_with("qwen2.5-coder") || msg_model.starts_with("phi")) {
+                                                if let Some(ref engine) = llm {
+                                                    let max_tokens = task.get("max_tokens").and_then(|v| v.as_u64()).unwrap_or(1024) as usize;
+                                                    let prompt_lines = prompt.lines().count();
+                                                    let prompt_last: String = prompt.lines().last().unwrap_or("").chars().take(60).collect();
+                                                    tracing::info!("→ task_id:{} | {}r prompti | \"{}...\"", task_id, prompt_lines, prompt_last);
+
+                                                    let model_name = engine.model_name();
+                                                    match engine.generate(prompt, max_tokens).await {
+                                                        Ok(result) => {
+                                                            tracing::info!(
+                                                                "✓ {} | {} tok | {:.0}ms | {:.1} tok/s",
+                                                                model_name,
+                                                                result.tokens_generated,
+                                                                result.duration_ms,
+                                                                result.tokens_per_sec,
+                                                            );
+                                                            let prompt_short: String = prompt.lines().last().unwrap_or("").chars().take(100).collect();
+                                                            let done = json!({
+                                                                "type": "llm_done",
+                                                                "prompt": prompt_short,
+                                                                "model": format!("{} (Ollama)", model_name),
+                                                                "response": result.text,
+                                                                "tokens_generated": result.tokens_generated,
+                                                                "duration_ms": result.duration_ms,
+                                                                "tokens_per_sec": (result.tokens_per_sec * 10.0).round() / 10.0,
+                                                                "load_time_ms": 0,
+                                                                "task_id": task_id,
+                                                            });
+                                                            let _ = write.send(Message::Text(done.to_string())).await;
+                                                        }
+                                                        Err(e) => {
+                                                            tracing::error!("Inferenssivirhe: {}", e);
+                                                        }
+                                                    }
+                                                }
+                                            }
+                                        }
+                                    }
+
+                                    // Mallin vaihto lennossa
+                                    if text.contains("change_model") {
+                                        if let Ok(task) = serde_json::from_str::<serde_json::Value>(&text) {
+                                            if let Some(new_model) = task.get("model").and_then(|v| v.as_str()) {
+                                                if let Some(ref engine) = llm {
+                                                    tracing::info!("Vaihdetaan malli: {}", new_model);
+                                                    engine.set_model(new_model.to_string());
+                                                    match engine.ensure_model().await {
+                                                        Ok(()) => tracing::info!("Malli {} valmis!", new_model),
+                                                        Err(e) => tracing::error!("Mallin lataus epäonnistui: {}", e),
+                                                    }
+                                                }
+                                            }
                                         }
                                     }
                                 }
+                                Some(Ok(_)) => {} // Muut viestityypit (binary/ping)
+                                Some(Err(_)) | None => break, // Yhteys poikki
                             }
                         }
                     }
                 }
+                
                 tracing::warn!("Yhteys hubiin katkesi — yritetään uudelleen 5s...");
             }
             Err(e) => {

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

@@ -0,0 +1,67 @@
+use dialoguer::{Select, Input, theme::ColorfulTheme};
+use reqwest::Client;
+
+pub async fn select_model(ollama_url: &str, client: &Client) -> Result<String, String> {
+    // 1. Hae tagit
+    let mut models = vec![];
+    println!("  Haetaan asennettuja malleja osoitteesta {}...", ollama_url);
+    if let Ok(resp) = client.get(&format!("{}/api/tags", ollama_url)).send().await {
+        if resp.status().is_success() {
+            if let Ok(json) = resp.json::<serde_json::Value>().await {
+                if let Some(arr) = json.get("models").and_then(|v| v.as_array()) {
+                    for m in arr {
+                        if let Some(name) = m.get("name").and_then(|v| v.as_str()) {
+                            models.push(name.to_string());
+                        }
+                    }
+                }
+            }
+        }
+    }
+
+    let download_opt = "[➕ Lataa uusi malli internetistä]";
+    let mut options = vec![download_opt.to_string()];
+    options.extend(models);
+
+    // 2. Kysy käyttäjältä Selectillä
+    let theme = ColorfulTheme::default();
+    let selection = Select::with_theme(&theme)
+        .with_prompt("Valitse Ollama-malli Kipinä-verkkoa varten:")
+        .default(if options.len() > 1 { 1 } else { 0 })
+        .items(&options)
+        .interact()
+        .map_err(|e| format!("TUI virhe: {}", e))?;
+
+    let selected = &options[selection];
+
+    // 3. Jos käyttäjä haluaa uuden, kysy nimeä
+    if selected == download_opt {
+        let new_model: String = Input::with_theme(&theme)
+            .with_prompt("Syötä ladattavan mallin nimi (esim. llama3 tai qwen2.5-coder:3b)")
+            .interact_text()
+            .map_err(|e| format!("TUI virhe: {}", e))?;
+        
+        let new_model = new_model.trim().to_string();
+        if new_model.is_empty() {
+            return Err("Mallin nimi ei voi olla tyhjä".to_string());
+        }
+        
+        println!("  Ladataan malleja taustalla... Tämä voi kestää hetken ({})", new_model);
+        // Odotetaan että pull on valmis
+        let pull_body = serde_json::json!({ "name": &new_model });
+        let resp = client.post(&format!("{}/api/pull", ollama_url))
+            .json(&pull_body)
+            .send()
+            .await
+            .map_err(|e| format!("Pull req virhe: {}", e))?;
+            
+        if resp.status().is_success() {
+            println!("  ✓ Malli {} ladattu onnistuneesti!", new_model);
+            return Ok(new_model);
+        } else {
+            return Err(format!("Ollama pull epäonnistui: {}", resp.status()));
+        }
+    }
+
+    Ok(selected.clone())
+}