- Multiline field for Edit with AI

- Qwen3.5 models added as predefined (2B, 4B, 9B) - good for tools and chat

package.json

@@ -2,7 +2,7 @@
   "name": "llama-vscode",
   "displayName": "llama-vscode",
   "description": "Local LLM-assisted text completion using llama.cpp",
-  "version": "0.0.47",
+  "version": "0.0.46",
   "publisher": "ggml-org",
   "repository": "https://github.com/ggml-org/llama.vscode",
   "engines": {

src/services/openai-comp-model-strategy.ts

@@ -44,13 +44,13 @@ export class OpenAiCompModelStrategy implements IAddStrategy {
                     prompt: 'example: http://localhost:8080 or https://openrauter.ai/api'
                 })??""
                 isKeyRequired = await Utils.confirmAction(`Is API key required for this endpoint (${endpoint})?`, "");
-            }
+            } 
             if (!endpoint){
                 vscode.window.showWarningMessage("Endpoint is not provided!")
                 return;
             }
             const providerModels: QuickPickItem[] = [];
-            const models = await this.getModels(endpoint, isKeyRequired);
+            const models = await this.getModels(endpoint);
             if (models.length == 0) {
                 vscode.window.showInformationMessage("No models are found.")
                 return
@@ -108,50 +108,30 @@ export class OpenAiCompModelStrategy implements IAddStrategy {
         }
     }
 
-    private async getModels(endpoint: string, isKeyRequired: boolean): Promise<OpenAiCompModel[]> {
-        const hfEndpoint = Utils.trimTrailingSlash(endpoint) + "/v1/models";
-
-        // Create a request configuration
-        let requestConfig: any = {};
-
-        if (isKeyRequired) {
-            // We get the saved key for this specific endpoint
-            const apiKey = this.app.persistence.getApiKey(endpoint);
-            if (apiKey) {
-                requestConfig = {
-                    headers: {
-                        'Authorization': `Bearer ${apiKey}`,
-                        'Content-Type': 'application/json'
-                    }
-                };
-            }
-        }
-
+    private async getModels(endpoint: string): Promise<OpenAiCompModel[]> {
+        let hfEndpoint = Utils.trimTrailingSlash(endpoint) +"/v1/models";
         try {
-            const result = await axios.default.get(
-                `${Utils.trimTrailingSlash(hfEndpoint)}`,
-                requestConfig
+            let result = await axios.default.get(
+                `${Utils.trimTrailingSlash(hfEndpoint)}`
             );
-
             let models: OpenAiCompModel[] = [];
-            let modelsList: OpenAiCompModel[] = [];
-
-            if (result && result.data && result.data.models) modelsList = result.data.models;
-            else if (result && result.data && result.data.data) modelsList = result.data.data;
-
-            if (modelsList.length > 0) {
-                for (let mdl of modelsList) {
-                    models.push(mdl);
+        
+            let modelsList: OpenAiCompModel[] = []
+            if (result && result.data && result.data.models) modelsList = result.data.models
+            else if (result && result.data && result.data.data) modelsList = result.data.data
+            if (modelsList.length > 0){
+                for(let mdl of modelsList){
+                    models.push(mdl)
                 }
             }
-
+            
             return models;
-        } catch (error) {
-            vscode.window.showErrorMessage("Error getting provider models: " + error);
+        } catch (error){
+            vscode.window.showErrorMessage("Error getting provider models): " + error)
             return [];
         }
     }
-
+    
     private sanitizeInput(input: string): string {
         return input ? input.trim() : '';
     }