Show loading progress and send num_ctx 16384 so vision chat fits.

Livebar and waiting_ollama phase while the model loads into GPU; bump context past Ollama's 4096 default that truncated Assistent packs.

Co-authored-by: Cursor <cursoragent@cursor.com>

SwarmAssistentExtension.cs

@@ -43,6 +43,8 @@ public class SwarmAssistentExtension : Extension
     const int MaxCivitaiHops = 2;
     const int MaxLorasInInventory = 120;
     const int MaxWildcardsInInventory = 80;
+    /// <summary>Ollama default num_ctx is 4096; Assistent system+inventory+vision exceeds that.</summary>
+    const int DefaultNumCtx = 16384;
 
     static readonly Regex JsonFenceRe = new(@"```(?:json)?\s*([\s\S]*?)```", RegexOptions.IgnoreCase | RegexOptions.Compiled);
 
@@ -53,7 +55,7 @@ public class SwarmAssistentExtension : Extension
         ExtensionAuthor = "mrleo1nid";
         Description = "Collaborative Krea 2 assistant via Ollama: chat, vision, img2img/inpaint, Generate loop, Civitai Confirm.";
         License = "MIT";
-        Version = "0.3.1";
+        Version = "0.3.4";
         Tags = ["tabs", "ui", "llm", "ollama", "krea", "inpaint"];
     }
 
@@ -581,6 +583,10 @@ public class SwarmAssistentExtension : Extension
             ["model"] = modelName,
             ["stream"] = stream,
             ["messages"] = new JArray(ollamaMessages),
+            ["options"] = new JObject
+            {
+                ["num_ctx"] = DefaultNumCtx,
+            },
         };
         using StringContent content = new(payload.ToString(Newtonsoft.Json.Formatting.None), Encoding.UTF8, "application/json");
         using HttpRequestMessage req = new(HttpMethod.Post, $"{root}/api/chat") { Content = content };
@@ -718,6 +724,14 @@ public class SwarmAssistentExtension : Extension
         string packName = (pack ?? "write_prompt").Trim();
         try
         {
+            if (ws.State == WebSocketState.Open)
+            {
+                await ws.SendJson(new JObject
+                {
+                    ["phase"] = "waiting_ollama",
+                    ["notice"] = "Loading model into GPU…",
+                }, API.WebsocketTimeout);
+            }
             async Task OnDelta(string delta)
             {
                 if (ws.State == WebSocketState.Open)