diff --git a/network-poc/native-node/src/inference.rs b/network-poc/native-node/src/inference.rs
index 932ebfa..2d748d3 100644
--- a/network-poc/native-node/src/inference.rs
+++ b/network-poc/native-node/src/inference.rs
@@ -78,6 +78,20 @@ 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.
diff --git a/network-poc/native-node/src/main.rs b/network-poc/native-node/src/main.rs
index 1f0236d..deb3db7 100644
--- a/network-poc/native-node/src/main.rs
+++ b/network-poc/native-node/src/main.rs
@@ -222,7 +222,7 @@ fn collect_system_info() -> serde_json::Value {
 }
 
 /// Koko auth-viesti hubille
-fn build_auth_message(allocated_gb: u32, model_name: &str) -> 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();
 
@@ -251,6 +251,10 @@ fn build_auth_message(allocated_gb: u32, model_name: &str) -> 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()
 }
 
@@ -324,6 +328,19 @@ 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 {
@@ -331,7 +348,7 @@ async fn main() {
                 tracing::info!("Yhdistetty hubiin!");
                 let (mut write, mut read) = ws_stream.split();
 
-                let auth = build_auth_message(allocated_gb, &active_model);
+                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;