feat: optimize multi-agent routing and enhance intent detection

src/agent.ts

@@ -190,7 +190,10 @@ export class AgentExecutor {
         
         // Decide whether to use Multi-Agent Workflow (for complex requests)
         const isComplex = prompt && (prompt.length > 100 || /(분석|보고서|설계|기획|정리)/.test(prompt));
-        if (isComplex && loopDepth === 0 && multiAgentEnabled) {
+        const explicitLocalProjectTask = prompt
+            ? !!(await this.resolveProjectReference(prompt)) && this.isProjectAnalysisRequest(prompt.toLowerCase())
+            : false;
+        if (isComplex && loopDepth === 0 && multiAgentEnabled && !explicitLocalProjectTask) {
             return this.executeMultiAgentWorkflow(prompt!, modelName, options);
         }
 
@@ -401,8 +404,16 @@ export class AgentExecutor {
             const report = await this.executeActions(aiResponseText, rootPath);
             if (!aiResponseText.trim() && report.length === 0) {
                 this.chatHistory.pop();
-                logError('Model returned an empty response without actions.', { model: actualModel, loopDepth });
-                this.webview.postMessage({ type: 'error', value: 'AI model returned an empty response.' });
+                logError('Model returned an empty response without actions.', { model: actualModel, engine, apiUrl, loopDepth });
+                this.webview.postMessage({
+                    type: 'error',
+                    value: [
+                        'AI engine returned an empty response.',
+                        `Engine: ${engine}`,
+                        `Model: ${actualModel}`,
+                        'The request reached the local LLM server, but no usable content was returned. Try another model, restart the local server, or reduce the prompt/context size.'
+                    ].join('\n')
+                });
                 return;
             }
 
@@ -653,7 +664,7 @@ export class AgentExecutor {
         // Only trigger local analysis if the intent is strictly about a project-level overview.
         // Avoid generic terms like 'analysis' or 'review' that are common in general coding chat.
         const hasProjectKeyword = /(프로젝트|project|레포|repository)/.test(normalized);
-        const hasAnalysisIntent = /(전체 요약|제품 설명|어떤 프로그램|구조 파악|훑어보기)/.test(normalized);
+        const hasAnalysisIntent = /(전체 요약|제품 설명|어떤 프로그램|구조 파악|훑어보기|분석 문서|모든 코드|준비한 모든 코드|코드를 읽고|프로젝트를 이해|설계|기능|코드 품질|문제성|리뷰|평가)/.test(normalized);
         
         return hasProjectKeyword && hasAnalysisIntent;
     }