fix: v2.22.0 - stable multi-agent workflow (API compatibility & architecture refactor)
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+28
-30
@@ -20,6 +20,7 @@ import { validatePath, sanitizeCommand } from './security';
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import { TransactionManager } from './core/transaction';
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import { SessionManager } from './core/session';
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import { PlannerAgent, ResearcherAgent, WriterAgent } from './agents/factory';
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import { AgentWorkflowManager } from './agents/AgentWorkflowManager';
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import { ErrorTranslator } from './core/errorHandler';
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import {
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AgentExecutionError,
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@@ -534,42 +535,38 @@ export class AgentExecutor {
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options: any
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) {
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if (!this.webview) return;
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this.stop(); // Abort any previous run
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this.stop();
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this.abortController = new AbortController();
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const signal = this.abortController.signal;
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this.statusBarManager.updateStatus(AgentStatus.Thinking, 'Multi-Agent Workflow Started');
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this.statusBarManager.updateStatus(AgentStatus.Thinking, 'Multi-Agent Workflow Running');
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this.webview.postMessage({ type: 'streamStart' });
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try {
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// Instantiate decoupled agents
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const planner = new PlannerAgent(modelName);
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const researcher = new ResearcherAgent(modelName);
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const writer = new WriterAgent(modelName);
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let brainContext = 'No specific context available';
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try {
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const activeBrain = getActiveBrainProfile();
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const brainFiles = findBrainFiles(activeBrain.localBrainPath);
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brainContext = `Brain: ${activeBrain.name}, Files: ${brainFiles.length}`;
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} catch (ctxErr) {
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logError('Failed to load brain context for agents', ctxErr);
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}
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// Prepare Context
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const activeBrain = getActiveBrainProfile();
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const brainFiles = findBrainFiles(activeBrain.localBrainPath);
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const brainContext = `Brain: ${activeBrain.name}, Files: ${brainFiles.length}`;
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// 워크플로우 매니저에게 실행 위임 (Strict Synchronization & Contract)
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const finalReport = await AgentWorkflowManager.runStrictWorkflow(
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prompt,
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modelName,
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brainContext,
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signal,
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(step, msg) => {
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this.webview.postMessage({ type: 'autoContinue', value: `${step}: ${msg}` });
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// 각 단계별 시작을 알림
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this.webview.postMessage({ type: 'streamChunk', value: `\n\n> **[${step}]** ${msg}\n\n` });
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}
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);
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// --- Phase 1: Planner ---
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if (signal.aborted) return;
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this.webview.postMessage({ type: 'autoContinue', value: 'Planner: 전략 수립 중...' });
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const plan = await planner.execute(prompt, brainContext, signal);
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this.webview.postMessage({ type: 'streamChunk', value: `\n\n### 📝 작업 계획 (Execution Plan)\n${plan}\n\n` });
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// --- Phase 2: Researcher ---
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if (signal.aborted) return;
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this.webview.postMessage({ type: 'autoContinue', value: 'Researcher: 지식 검색 중...' });
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const research = await researcher.execute(plan, brainContext, signal);
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this.webview.postMessage({ type: 'streamChunk', value: `\n\n### 🔍 분석 결과 (Research Findings)\n*(정보 수집 및 정제 완료)*\n\n` });
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// --- Phase 3: Writer ---
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if (signal.aborted) return;
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this.webview.postMessage({ type: 'autoContinue', value: 'Writer: 보고서 작성 중...' });
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const finalReport = await writer.execute(research, prompt, signal);
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if (signal.aborted) return;
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this.webview.postMessage({ type: 'streamChunk', value: `\n\n--- \n\n${finalReport}` });
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this.webview.postMessage({ type: 'streamEnd' });
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@@ -577,16 +574,17 @@ export class AgentExecutor {
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this.emitHistoryChanged();
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this.statusBarManager.updateStatus(AgentStatus.Success, 'Workflow Complete');
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this.webview.postMessage({ type: 'autoContinue', value: '✅ 분석이 완료되었습니다!' });
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this.webview.postMessage({ type: 'autoContinue', value: '✅ 모든 분석이 성공적으로 완료되었습니다.' });
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} catch (error: any) {
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if (error.name === 'AbortError' || error.message?.includes('cancelled')) {
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this.statusBarManager.updateStatus(AgentStatus.Idle, 'Workflow Cancelled');
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return;
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}
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const friendly = ErrorTranslator.translate(error);
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logError('Workflow failed', error);
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// Clear autoContinue state by sending empty value or specific type
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this.webview.postMessage({ type: 'autoContinue', value: '' });
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// Format error using guideline-compliant UI (Red color scheme)
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this.webview.postMessage({
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type: 'error',
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value: `### ${friendly.title}\n\n**상태:** ${friendly.message}\n\n**해결 방법:** ${friendly.action}`
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