fix: v2.13.0 - stability fixes (model persistence & agent abort logic)

package.json

@@ -2,7 +2,7 @@
   "name": "g1nation",
   "displayName": "G1nation",
   "description": "100% local AI coding agent for VS Code. Create files, edit code, run commands, and work offline with Ollama or LM Studio.",
-  "version": "2.12.0",
+  "version": "2.13.0",
   "publisher": "connectailab",
   "license": "MIT",
   "icon": "assets/icon.png",

src/agent.ts

@@ -534,6 +534,10 @@ export class AgentExecutor {
         options: any
     ) {
         if (!this.webview) return;
+        this.stop(); // Abort any previous run
+        this.abortController = new AbortController();
+        const signal = this.abortController.signal;
+
         this.statusBarManager.updateStatus(AgentStatus.Thinking, 'Multi-Agent Workflow Started');
         this.webview.postMessage({ type: 'streamStart' });
 
@@ -549,19 +553,23 @@ export class AgentExecutor {
             const brainContext = `Brain: ${activeBrain.name}, Files: ${brainFiles.length}`;
 
             // --- Phase 1: Planner ---
+            if (signal.aborted) return;
             this.webview.postMessage({ type: 'autoContinue', value: 'Planner: 전략 수립 중...' });
-            const plan = await planner.execute(prompt, brainContext);
+            const plan = await planner.execute(prompt, brainContext, signal);
             this.webview.postMessage({ type: 'streamChunk', value: `\n\n### 📝 작업 계획 (Execution Plan)\n${plan}\n\n` });
 
             // --- Phase 2: Researcher ---
+            if (signal.aborted) return;
             this.webview.postMessage({ type: 'autoContinue', value: 'Researcher: 지식 검색 중...' });
-            const research = await researcher.execute(plan, brainContext);
+            const research = await researcher.execute(plan, brainContext, signal);
             this.webview.postMessage({ type: 'streamChunk', value: `\n\n### 🔍 분석 결과 (Research Findings)\n*(정보 수집 및 정제 완료)*\n\n` });
 
             // --- Phase 3: Writer ---
+            if (signal.aborted) return;
             this.webview.postMessage({ type: 'autoContinue', value: 'Writer: 보고서 작성 중...' });
-            const finalReport = await writer.execute(research, prompt);
+            const finalReport = await writer.execute(research, prompt, signal);
             
+            if (signal.aborted) return;
             this.webview.postMessage({ type: 'streamChunk', value: `\n\n--- \n\n${finalReport}` });
             this.webview.postMessage({ type: 'streamEnd' });
             
@@ -575,6 +583,9 @@ export class AgentExecutor {
             const friendly = ErrorTranslator.translate(error);
             logError('Workflow failed', error);
             
+            // Clear autoContinue state by sending empty value or specific type
+            this.webview.postMessage({ type: 'autoContinue', value: '' });
+
             // Format error using guideline-compliant UI (Red color scheme)
             this.webview.postMessage({ 
                 type: 'error', 

src/agents/factory.ts

@@ -4,52 +4,83 @@ import { getConfig } from '../config';
 export abstract class BaseAgent {
     constructor(protected readonly modelName: string) {}
 
-    protected async callLLM(persona: string, prompt: string): Promise<string> {
+    protected async callLLM(persona: string, prompt: string, signal?: AbortSignal): Promise<string> {
         const { ollamaUrl } = getConfig();
         const messages = [
             { role: 'system', content: persona },
             { role: 'user', content: prompt }
         ];
 
-        // API 호출 로직 (Streaming 생략하고 결과만 반환하는 헬퍼)
+        const controller = new AbortController();
-        const response = await fetch(`${ollamaUrl}/api/chat`, {
+        const timeoutId = setTimeout(() => controller.abort(), 45000); // Increased to 45s for complex tasks
-            method: 'POST',
-            body: JSON.stringify({
-                model: this.modelName,
-                messages,
-                stream: false,
-                options: { temperature: 0.3 }
-            })
-        });
 
-        if (!response.ok) {
+        // Combine external signal with local timeout
-            throw new Error(`Agent API Error: ${response.statusText}`);
+        const combinedSignal = signal ? 
+            anySignal([signal, controller.signal]) : 
+            controller.signal;
+
+        try {
+            const response = await fetch(`${ollamaUrl}/api/chat`, {
+                method: 'POST',
+                body: JSON.stringify({
+                    model: this.modelName,
+                    messages,
+                    stream: false,
+                    options: { temperature: 0.3 }
+                }),
+                signal: combinedSignal
+            });
+
+            clearTimeout(timeoutId);
+
+            if (!response.ok) {
+                throw new Error(`Agent API Error: ${response.statusText} (${response.status})`);
+            }
+
+            const data = await response.json() as any;
+            return data.message?.content || data.choices?.[0]?.message?.content || '';
+        } catch (error: any) {
+            clearTimeout(timeoutId);
+            if (error.name === 'AbortError') {
+                throw new Error('Agent request was cancelled or timed out.');
+            }
+            throw error;
         }
-
-        const data = await response.json() as any;
-        return data.message?.content || data.choices?.[0]?.message?.content || '';
     }
 
-    abstract execute(input: string, context?: string): Promise<string>;
+    abstract execute(input: string, context?: string, signal?: AbortSignal): Promise<string>;
+}
+
+// Helper to combine signals (since AbortSignal.any is not always available in older Node)
+function anySignal(signals: AbortSignal[]): AbortSignal {
+    const controller = new AbortController();
+    for (const signal of signals) {
+        if (signal.aborted) {
+            controller.abort();
+            return signal;
+        }
+        signal.addEventListener('abort', () => controller.abort(), { once: true });
+    }
+    return controller.signal;
 }
 
 export class PlannerAgent extends BaseAgent {
     private readonly persona = `You are the [Planner Agent]. Analyze the request and output a structured <plan>.`;
-    async execute(input: string, brainContext?: string): Promise<string> {
+    async execute(input: string, brainContext?: string, signal?: AbortSignal): Promise<string> {
-        return this.callLLM(this.persona, `Request: ${input}\nContext: ${brainContext}`);
+        return this.callLLM(this.persona, `Request: ${input}\nContext: ${brainContext}`, signal);
     }
 }
 
 export class ResearcherAgent extends BaseAgent {
     private readonly persona = `You are the [Researcher Agent]. Gather facts based on the plan.`;
-    async execute(input: string, brainContext?: string): Promise<string> {
+    async execute(input: string, brainContext?: string, signal?: AbortSignal): Promise<string> {
-        return this.callLLM(this.persona, `Plan: ${input}\nContext: ${brainContext}`);
+        return this.callLLM(this.persona, `Plan: ${input}\nContext: ${brainContext}`, signal);
     }
 }
 
 export class WriterAgent extends BaseAgent {
     private readonly persona = `You are the [Writer Agent]. Synthesize research into a final report.`;
-    async execute(input: string, originalRequest?: string): Promise<string> {
+    async execute(input: string, originalRequest?: string, signal?: AbortSignal): Promise<string> {
-        return this.callLLM(this.persona, `Data: ${input}\nOriginal Request: ${originalRequest}`);
+        return this.callLLM(this.persona, `Data: ${input}\nOriginal Request: ${originalRequest}`, signal);
     }
 }