Update project files

src/agent.ts

@@ -1188,7 +1188,13 @@ export class AgentExecutor {
 
             this.statusBarManager.updateStatus(AgentStatus.Executing);
             // Action tags are honored only from the visible final answer — never from hidden reasoning.
+            // Snapshot history length so we can tell whether the actions injected any content for the
+            // model to interpret: read_file / list_files / read_brain / read_sheet push system messages,
+            // while run_command (no stdout captured) and file writes inject nothing. Only the former
+            // warrant a follow-up LLM call.
+            const historyLenBeforeActions = this.chatHistory.length;
             const report = await this.executeActions(cleanedVisible, rootPath, activeBrain);
+            const actionsInjectedContext = this.chatHistory.length > historyLenBeforeActions;
             // Self-Reflector Phase C — 일반 채팅 경로에서도 코드 파일 생성 직후
             // syntax 체크 실행. 옵션 OFF면 통째로 skip.
             try {
@@ -1263,8 +1269,13 @@ export class AgentExecutor {
             if (report.length > 0) {
                 logInfo('Agent actions executed.', { loopDepth: loopDepth + 1, report });
 
-                // Continue loop if needed
-                if (loopDepth < config.maxAutoSteps) {
+                // A follow-up LLM call ("continuation") is only worth making when an action injected
+                // content the model must interpret (read_file / list_files / read_brain / read_sheet).
+                // Output-less actions — run_command (no stdout captured), file create/edit/delete —
+                // give the continuation nothing to do, yet it would re-send the whole, often near-full,
+                // context; on a weak/long-context local model that second call collapses to an empty
+                // response. For those, confirm deterministically and stop. No second LLM call.
+                if (actionsInjectedContext && loopDepth < config.maxAutoSteps) {
                     const currentActionStr = report.join('|');
                     const lastActionStr = this.context.workspaceState.get<string>('lastActionStr');
 
@@ -1283,6 +1294,13 @@ export class AgentExecutor {
                     await new Promise(r => setTimeout(r, 800));
                     if (this.isStaleRun(runId)) return;
                     await this.handlePrompt(continuationPrompt, modelName, { ...options, loopDepth: loopDepth + 1, runId });
+                } else if (!actionsInjectedContext) {
+                    // Output-less actions — confirm what actually ran (deterministic), no follow-up LLM call.
+                    logInfo('Actions produced no interpretable output — skipping continuation call.', { loopDepth, report });
+                    this.webview.postMessage({
+                        type: 'streamChunk',
+                        value: '\n\n---\n실행한 작업:\n' + report.map(r => `- ${r}`).join('\n'),
+                    });
                 }
                 return;
             }