feat(engine): implement self-reflection (reflector) stage in multi-agent pipeline
- Added ReflectorAgent for meta-cognition and critical review between Research and Writing - Updated WriterAgent to explicitly address reflection critiques - Introduced 'g1nation.enableReflection' configuration setting - Added comprehensive integration tests for the self-reflection stage - Documented design decisions in ADR-0010 and related discussion records
This commit is contained in:
g1nation
@@ -3,23 +3,23 @@
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<!-- ASTRA:AUTO-START -->
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## Snapshot
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- **Workspace**: `ConnectAI` `v2.0.2` _(absolute path varies by environment; resolved from the active VS Code workspace)_
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- **Workspace**: `ConnectAI` `v2.0.9` _(absolute path varies by environment; resolved from the active VS Code workspace)_
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- **Description**: The personal intelligence layer for Antigravity and VS Code. A private cognitive partner for deep project context, memory, and proactive strategic decision-making.
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- **Stack**: TypeScript, Node.js, VS Code Extension, LM Studio SDK, Test runner
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- **Stats**: 184 source files, ~31,651 lines across 5 top-level modules.
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- **Stats**: 201 source files, ~35,737 lines across 5 top-level modules.
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## Last Refresh
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- **Time**: 2026-05-13T13:48:21.458Z
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- **Files newly analysed**: 3
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- **Files reused from cache**: 181
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- **Time**: 2026-05-13T16:44:14.023Z
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- **Files newly analysed**: 8
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- **Files reused from cache**: 193
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## Directory Map
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```mermaid
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mindmap
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root((ConnectAI))
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src/
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core/
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features/
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core/
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memory/
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retrieval/
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docs/
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@@ -37,11 +37,11 @@ mindmap
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> Arrows: which top-level module imports from which.
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```mermaid
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flowchart LR
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src["src/<br/>85 files"]
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src["src/<br/>100 files"]
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media["media/<br/>6 files"]
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tests["tests/<br/>27 files"]
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core_py["core_py/<br/>6 files"]
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docs["docs/<br/>60 files"]
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docs["docs/<br/>62 files"]
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tests --> src
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```
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@@ -53,78 +53,78 @@ flowchart LR
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## Hub Files
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> Imported by many other files — touching these has wide blast radius.
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- `src/utils.ts` — referenced by **37** files
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- `src/config.ts` — referenced by **11** files
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- `src/utils.ts` — referenced by **43** files
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- `src/config.ts` — referenced by **12** files
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- `src/lib/paths.ts` — referenced by **10** files
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- `src/features/company/types.ts` — referenced by **9** files · Type definitions for the 1인 기업 (One-Person Company) mode. The mode turns the user into a virtual CEO that dispatches work to a roster of specialist agents. Each turn produces a session directory conta
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- `src/features/company/agents.ts` — referenced by **7** files · The 9-agent roster for 1인 기업 모드. Each entry is a static description — persona, role, specialty — used to build the specialist's system prompt at dispatch time. The set was adopted from Connectorigin's
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- `src/skills/agentKnowledgeMap.ts` — referenced by **6** files
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- `src/lib/engine.ts` — referenced by **6** files
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- `src/sidebarProvider.ts` — referenced by **6** files
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- `src/retrieval/scoring.ts` — referenced by **6** files · Scoring Engine — TF-IDF + Bilingual Tokenizer 단순 includes() 키워드 매칭을 넘어서, TF-IDF 가중치 기반의 문서 스코어링을 제공합니다. 한국어/영어 양국어 토크나이저를 포함합니다.
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- `src/memory/types.ts` — referenced by **6** files · Memory Type Definitions (메모리 타입 정의) Astra의 5-Layer Cognitive Memory System의 모든 타입을 정의합니다. ① Short-Term ② Long-Term ③ Project ④ Procedural ⑤ Episodic
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- `src/retrieval/lessonHelpers.ts` — referenced by **5** files · Lesson / Experience Memory — pure helpers (no vscode dependency) "Lesson" = a markdown file in the active brain that captures a past mistake/risk and how to avoid repeating it. Identified by a lessons
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- `src/core/services.ts` — referenced by **6** files
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## Modules
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### `src/` — 85 files, ~20,591 lines
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### `src/` — 100 files, ~23,711 lines
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**Sub-directories**
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- `src/features/` (28) — The 9-agent roster for 1인 기업 모드. Each entry is a static description — persona, role, specialty — used to build the speci
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- `src/core/` (15) — Astra Path Resolver (경로 해결기) Astra의 모든 데이터 파일(.astra 디렉토리)의 경로를 중앙에서 관리합니다. 확장 프로그램의 설치 경로(extensionUri) 기반으로 .astra 디렉토
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- `src/features/` (14) — Project Architecture Context (Feature 2) Builds a markdown document that captures the durable facts about a project — it
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- `src/memory/` (8) — Episodic Memory (일화 기억) 과거 대화/회의/결정의 맥락 흐름을 저장합니다. 세션 종료 시 자동으로 에피소드를 요약하여 저장합니다. "왜 이렇게 결정했는지", "어떤 흐름으로 진행했는지" 기록. 저장
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- `src/retrieval/` (8) — Brain Index — persistent, mtime-keyed tokenized cache of the Second Brain RAG 검색은 매 질의마다 브레인의 모든 .md 파일을 읽고 토크나이즈해서 TF-I
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- `src/docs/` (6) — src Chronicle Records
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- `src/lib/` (6) — Context Manager (컨텍스트 한계 관리) "context length = 132k" 는 "답변을 132k 토큰까지 생성해도 된다" 가 아닙니다. 시스템 프롬프트 + 대화 기록 + 입력 문서 + 생성될 답변
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- `src/integrations/` (4) — Per-chat conversation history for the Telegram bot. Why this exists: the previous bot was stateless — every inbound mess
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- `src/lmstudio/` (4) — 4 files (.ts)
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- `src/sidebar/` (4) — 4 files (.ts)
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- `src/skills/` (4) — 4 files (.ts)
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- `src/integrations/` (3) — Subset of the Telegram Bot API types we actually consume. Source: https://core.telegram.org/bots/api Only fields the bot
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- `src/agents/` (2) — 2 files (.ts)
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- `src/scaffolder/` (2) — Scaffolder template catalog. Templates are pure data — (projectName) => { [relativePath]: contents }. New templates are
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**Key files**
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- `src/utils.ts` (268 lines)
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- `src/config.ts` (209 lines)
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- `src/config.ts` (216 lines)
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- `src/features/company/types.ts` (150 lines) — Type definitions for the 1인 기업 (One-Person Company) mode. The mode turns the user into a virtual CEO that dispatches work to a roster of specialist agents. Each turn produces a session directory conta
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- `src/lib/paths.ts` (151 lines)
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- `src/sidebarProvider.ts` (2603 lines)
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- `src/sidebarProvider.ts` (2934 lines)
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- `src/features/company/agents.ts` (136 lines) — The 9-agent roster for 1인 기업 모드. Each entry is a static description — persona, role, specialty — used to build the specialist's system prompt at dispatch time. The set was adopted from Connectorigin's
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- `src/memory/types.ts` (126 lines) — Memory Type Definitions (메모리 타입 정의) Astra의 5-Layer Cognitive Memory System의 모든 타입을 정의합니다. ① Short-Term ② Long-Term ③ Project ④ Procedural ⑤ Episodic
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- `src/retrieval/scoring.ts` (518 lines) — Scoring Engine — TF-IDF + Bilingual Tokenizer 단순 includes() 키워드 매칭을 넘어서, TF-IDF 가중치 기반의 문서 스코어링을 제공합니다. 한국어/영어 양국어 토크나이저를 포함합니다.
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- `src/skills/agentKnowledgeMap.ts` (374 lines)
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- `src/agent.ts` (3207 lines)
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- `src/core/services.ts` (164 lines)
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- `src/agent.ts` (3232 lines)
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- `src/features/company/companyConfig.ts` (330 lines) — State + config plumbing for 1인 기업 모드. Two surfaces: - CompanyState (runtime data: enabled flag, company name, which agents are active, per-agent model overrides). Persisted in VS Code's globalState so
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- `src/retrieval/lessonHelpers.ts` (325 lines) — Lesson / Experience Memory — pure helpers (no vscode dependency) "Lesson" = a markdown file in the active brain that captures a past mistake/risk and how to avoid repeating it. Identified by a lessons
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- `src/lib/engine.ts` (849 lines)
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- `src/lib/engine.ts` (880 lines)
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- `src/features/approval/approvalQueue.ts` (129 lines)
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- `src/integrations/telegram/telegramClient.ts` (154 lines)
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- `src/features/projectArchitecture/scanner.ts` (644 lines) — Deep static analyser for the Project Architecture Context generator. Walks the project tree (skipping the usual nodemodules / out / dist noise), pulls the role of each interesting file from its leadin
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- `src/lib/contextManager.ts` (275 lines) — Context Manager (컨텍스트 한계 관리) "context length = 132k" 는 "답변을 132k 토큰까지 생성해도 된다" 가 아닙니다. 시스템 프롬프트 + 대화 기록 + 입력 문서 + 생성될 답변 + 여유분 ≤ context length 이 모듈은 요청을 보내기 전에 입력 토큰을 추정하고, - 동적으로 출력 상한(maxTokens)을 계
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- `src/core/astraPath.ts` (50 lines) — Astra Path Resolver (경로 해결기) Astra의 모든 데이터 파일(.astra 디렉토리)의 경로를 중앙에서 관리합니다. 확장 프로그램의 설치 경로(extensionUri) 기반으로 .astra 디렉토리를 해결하여, 사용자 프로젝트 루트가 아닌 ConnectAI 패키지 내부에 데이터를 저장합니다. 이 모듈은 AAL(Astra Autonomou
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- `src/extension.ts` (945 lines)
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- `src/features/projectChronicle/types.ts` (118 lines)
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- `src/integrations/telegram/telegramClient.ts` (154 lines)
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- `src/lmstudio/client.ts` (147 lines)
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- `src/retrieval/brainIndex.ts` (325 lines) — Brain Index — persistent, mtime-keyed tokenized cache of the Second Brain RAG 검색은 매 질의마다 브레인의 모든 .md 파일을 읽고 토크나이즈해서 TF-IDF 점수를 계산했습니다 — 파일 수가 많아지면 그게 병목입니다. 이 모듈은 <brainPath>/.astra/brain-index.json 에
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- `src/extension.ts` (757 lines)
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- `src/features/projectArchitecture/index.ts` (515 lines) — Project Architecture Context (Feature 2) Builds a markdown document that captures the durable facts about a project — its purpose, modules, key files, constraints, decisions — so Astra can attach it t
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- `src/lmstudio/activityTracker.ts` (19 lines)
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- `src/memory/EpisodicMemory.ts` (278 lines) — Episodic Memory (일화 기억) 과거 대화/회의/결정의 맥락 흐름을 저장합니다. 세션 종료 시 자동으로 에피소드를 요약하여 저장합니다. "왜 이렇게 결정했는지", "어떤 흐름으로 진행했는지" 기록. 저장 위치: {brainPath}/memory/episodes/.json
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- `src/memory/LongTermMemory.ts` (243 lines) — Long-Term Memory (장기 기억) 사용자의 취향, 프로젝트 목표, 반복 규칙, 과거 결정 사항을 영구적으로 저장하고 관리합니다. 저장 위치: {brainPath}/memory/longterm.json
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- `src/memory/ProjectMemory.ts` (212 lines) — Project Memory (프로젝트 기억) 프로젝트별 요구사항, 코드 구조, 아키텍처 결정, 버그 기록 등을 Astra 확장 프로그램 내부에 저장하고 관리합니다. 저장 위치: {ConnectAI}/.astra/projectmemory.json (기존: {projectRoot}/.astra/ → 변경됨)
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- `src/retrieval/index.ts` (514 lines) — RetrievalOrchestrator — Unified RAG Pipeline Astra의 모든 검색 소스를 통합 관리하는 오케스트레이터입니다. 검색 흐름: ① Query Planning — 의도 분류 + 검색 전략 결정 ② Parallel Search — Brain + Memory + Project + Episode 동시 검색 ③ Result Fusio
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- `src/features/company/promptBuilder.ts` (202 lines) — System-prompt construction for company-mode agents. Each specialist needs a prompt that includes: - Their identity (name, role, specialty) + optional persona. - The action-tag contract (<createfile>,
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- `src/features/company/sessionStore.ts` (231 lines) — Disk persistence for company-mode session artefacts. Each company turn produces a timestamped directory: <workspaceRoot>/.astra/company/sessions/2026-05-13T21-29/ ├─ brief.md ← CEO's task decompositio
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### `media/` — 6 files, ~3,304 lines
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### `media/` — 6 files, ~4,099 lines
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**Key files**
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- `media/sidebar.css` (987 lines) — Stylesheet
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- `media/sidebar.js` (1388 lines)
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- `media/sidebar.css` (1225 lines) — Stylesheet
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- `media/sidebar.js` (1874 lines)
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- `media/sidebar.html` (356 lines) — Astra
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- `media/settings-panel.css` (210 lines) — Stylesheet
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- `media/sidebar.html` (285 lines) — Astra
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- `media/settings-panel.html` (164 lines) — Astra Settings
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- `media/settings-panel.js` (270 lines)
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### `tests/` — 27 files, ~4,802 lines
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### `tests/` — 27 files, ~4,932 lines
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*Depends on*: `src/`
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**Sub-directories**
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- `tests/mocks/` (1) — 1 files (.js)
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**Key files**
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- `tests/agentEngine.test.ts` (646 lines) — AgentEngine Integration Tests & Performance Benchmarks 검증 대상: 1. ErrorClassifier — 오류 유형(Transient/Permanent/Abort) 자동 분류 2. ErrorRecoveryMatrix — 각 규칙이 의도한 대응 전략으로 매핑되는지 검증 3. resilientExecute — 지수 백
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- `tests/agentEngine.test.ts` (776 lines) — AgentEngine Integration Tests & Performance Benchmarks 검증 대상: 1. ErrorClassifier — 오류 유형(Transient/Permanent/Abort) 자동 분류 2. ErrorRecoveryMatrix — 각 규칙이 의도한 대응 전략으로 매핑되는지 검증 3. resilientExecute — 지수 백
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- `tests/lmStudioLifecycle.test.ts` (318 lines) — Unit tests for ModelLifecycleManager. Strategy: inject mock ILMStudioClient and a simple in-memory IActivityTracker. No real LM Studio or SDK is touched — the manager file does not import the SDK dire
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- `tests/telegramBot.test.ts` (363 lines) — Unit tests for TelegramBot + truncateForTelegram. Strategy: - TelegramBot is driven by an injected ITelegramClient stub. We script getUpdates to return queued batches and assert that: - the offset cur
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- `tests/lmStudioStreamer.test.ts` (220 lines) — Unit tests for LMStudioStreamer. Strategy: inject a fake ILMStudioClient that returns a fake model handle whose respond() yields a controllable async iterable. No real SDK or WebSocket touched.
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@@ -160,10 +160,10 @@ flowchart LR
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- `core_py/optimizer.py` (55 lines)
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- `core_py/queue_worker.py` (82 lines)
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### `docs/` — 60 files, ~2,545 lines
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### `docs/` — 62 files, ~2,586 lines
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**Sub-directories**
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- `docs/records/` (48) — Astra Project Chronicle Records
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- `docs/records/` (50) — Astra Project Chronicle Records
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- `docs/docs/` (5) — docs Chronicle Records
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**Key files**
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@@ -172,7 +172,7 @@ flowchart LR
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- `docs/EXPERIENCE_MEMORY_PLAN.md` (122 lines) — Experience Memory (Mistake / Lesson Loop) — Implementation Plan
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- `docs/records/ConnectAI/development/2026-05-02_connectai_project_knowledge_overview.md` (121 lines) — Astra Project Knowledge Overview
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- `docs/records/ConnectAI/development/2026-05-03_connectai_project_knowledge_overview.md` (121 lines) — Astra Project Knowledge Overview
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- `docs/records/ConnectAI/timeline.md` (116 lines) — Project Timeline
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- `docs/records/ConnectAI/timeline.md` (122 lines) — Project Timeline
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- `docs/Advanced_Features_Implementation_Guide.md` (40 lines) — Advanced Features Implementation Guide
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- `docs/PROJECT_CHRONICLE_GUARD_ROADMAP.md` (43 lines) — Project Chronicle Guard: Search Engine Roadmap
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- `docs/UX_UI_Consistency_Guidelines.md` (44 lines) — UX/UI Consistency Guidelines
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@@ -196,7 +196,7 @@ flowchart LR
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## VS Code Extension Surface
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- **Extension ID**: `g1nation.astra`
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- **Activation events**: `onStartupFinished`
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- **Commands** (19):
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- **Commands** (23):
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- `g1nation.newChat` — Astra: New Chat
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- `g1nation.exportChat` — Astra: Export Chat as Markdown
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- `g1nation.explainSelection` — Astra: Explain Selected Code
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@@ -215,8 +215,12 @@ flowchart LR
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- `g1nation.lesson.manage` — Astra: Browse / Manage Lessons
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- `g1nation.architecture.refresh` — Astra: Refresh Project Architecture Context
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- `g1nation.architecture.detach` — Astra: Detach Project Architecture Context
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- `g1nation.architecture.attach` — Astra: Attach Project Architecture Context
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- `g1nation.architecture.open` — Astra: Open Project Architecture Doc
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- **Configuration** (38 settings):
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- `g1nation.company.toggle` — Astra: Toggle 1인 기업 Mode
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- `g1nation.company.manage` — Astra: Manage 1인 기업 Agents
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- `g1nation.company.openSessions` — Astra: Open 1인 기업 Sessions Folder
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- **Configuration** (39 settings):
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- `g1nation.multiAgentEnabled` *(boolean)* _(default: `false`)_ — Enable Multi-Agent Workflow (Planner -> Researcher -> Writer) for complex tasks.
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- `g1nation.memoryEnabled` *(boolean)* _(default: `true`)_ — Enable layered memory injection before each model response.
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- `g1nation.memoryShortTermMessages` *(number)* _(default: `8`)_ — Number of recent conversation messages included as short-term memory.
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@@ -255,6 +259,7 @@ flowchart LR
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- `g1nation.embeddingModel` *(string)* _(default: `""`)_ — Embedding model registered in LM Studio / Ollama (e.g. 'text-embedding-bge-small-en-v1.5', 'nomic-embed-text', 'multilingual-e5-small'). When empty, Astra uses TF-IDF only. When set, the brain is embe
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- `g1nation.embeddingBlendAlpha` *(number)* _(default: `0.5`)_ — Hybrid score blend: 0 = pure TF-IDF (sparse / keyword), 1 = pure embedding cosine (dense / semantic), 0.5 = balanced. Only used when g1nation.embeddingModel is set. Default 0.5.
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- `g1nation.knowledgeMix.secondBrainWeight` *(number)* _(default: `50`)_ — Knowledge Mix (0–100): how heavily the assistant should lean on Second Brain evidence vs. its own general knowledge. 0 = Second Brain disabled (model knowledge only). 50 = balanced (legacy default). 1
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- `g1nation.enableReflection` *(boolean)* _(default: `true`)_ — Insert a Self-Reflection (Reflector) stage between Researcher and Writer in the multi-agent workflow. The Reflector critically reviews the plan and research output (gaps, contradictions, unsupported c
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## Dependencies
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- **Runtime** (2): `@lmstudio/sdk`, `pdf-parse`
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@@ -302,7 +307,7 @@ Astra는 대표님의 명시적인 승인 하에 로컬 시스템의 강력한
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**Designed for High-Performance Decision Making.**
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Copyright (C) **g1nation**. All rights reserved.
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_Last auto-scan: 2026-05-13T13:48:21.458Z · signature `fefc8c65`_
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_Last auto-scan: 2026-05-13T16:44:14.023Z · signature `c63276ae`_
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<!-- ASTRA:AUTO-END -->
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||||
|
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## Purpose
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"role": "ADR: 이 프로젝트의 구조에 대해서 설명해봐.",
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"docs/records/ConnectAI/discussions/2026-05-13_volumes-data-project-antigravity-connectai-이-프로젝트-하위-폴더-포함해서.md": {
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"size": 720,
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"role": "Discussion: /Volumes/Data/project/Antigravity/ConnectAI 이 프로젝트 하위 폴더 포함해서 딥 리서치 해줘. 최적화 할 부분...",
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||||
"imports": []
|
||||
},
|
||||
"docs/records/ConnectAI/discussions/2026-05-13_volumes-data-project-antigravity-connectai-이-프로젝트를-작업할거야.md": {
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@@ -1588,9 +1767,9 @@
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||||
"imports": []
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},
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||||
"docs/records/ConnectAI/timeline.md": {
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||||
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|
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||||
"mtimeMs": 1778689955000,
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"lines": 122,
|
||||
"role": "Project Timeline",
|
||||
"imports": []
|
||||
},
|
||||
|
||||
+1
-1
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"result": "Final report with inconsistencies. This should be long enough to pass validation.",
|
||||
"createdAt": 1778688441641,
|
||||
"createdAt": 1778690820030,
|
||||
"modelVersion": "unknown"
|
||||
}
|
||||
+1
-1
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"result": "[CONFLICT WARNING] 성능이 200% 증가했습니다. vs 그러나 동시에 50% 감소했습니다. 최적화와 성능 저하가 동시에 발견됨.",
|
||||
"createdAt": 1778688441640,
|
||||
"createdAt": 1778690820030,
|
||||
"modelVersion": "unknown"
|
||||
}
|
||||
+1
-1
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"result": "Detailed Execution Plan: 1. Research 2. Analyze 3. Write report with high quality.",
|
||||
"createdAt": 1778688441639,
|
||||
"createdAt": 1778690820029,
|
||||
"modelVersion": "unknown"
|
||||
}
|
||||
+2
-2
@@ -1,5 +1,5 @@
|
||||
{
|
||||
"result": "---\nid: stress_conflict_1778688441629\ndate: 2026-05-13T16:07:21.641Z\ntype: knowledge_artifact\nstandard: P-Reinforce v3.0\ntags: [automated, connect_ai, brain_sync]\n---\n\n## 📌 Brief Summary\nFinal report with inconsistencies. This should be long enough to pass validation.\n\nFinal report with inconsistencies. This should be long enough to pass validation.\n\n---\n## 💡 Astra의 선제적 제안 (Proactive Next Actions)\nFinal report with inconsistencies. This should be long enough to pass validation.\n---\n## 🛡️ Reliability & Audit Summary\n> [!NOTE]\n> 이 문서는 ConnectAI의 **Intelligent Resilience** 엔진에 의해 검증 및 정제되었습니다.\n\n| Metric | Value | Status |\n| :--- | :--- | :--- |\n| **Conflict Risk** | `60/100` | ⚠️ Medium |\n| **Fallbacks Used** | `0` | ✅ None |\n| **Auto Retries** | `0` | ✅ Stable |\n| **Deduplication** | `0` | Standard |\n| **Processing Time** | `0.0s` | ✅ Fast |\n\n### 🔍 Decision Audit Trail\n- **[PLANNER]** 전략 수립 중... (10ms)\n- **[RESEARCHER]** 핵심 정보 수집 및 분석 중... (1ms)\n- **[WRITER]** 최종 리포트 작성 및 편집 중... (0ms)\n",
|
||||
"createdAt": 1778688441641,
|
||||
"result": "---\nid: stress_conflict_1778690820018\ndate: 2026-05-13T16:47:00.031Z\ntype: knowledge_artifact\nstandard: P-Reinforce v3.0\ntags: [automated, connect_ai, brain_sync]\n---\n\n## 📌 Brief Summary\nFinal report with inconsistencies. This should be long enough to pass validation.\n\nFinal report with inconsistencies. This should be long enough to pass validation.\n\n---\n## 💡 Astra의 선제적 제안 (Proactive Next Actions)\nFinal report with inconsistencies. This should be long enough to pass validation.\n---\n## 🛡️ Reliability & Audit Summary\n> [!NOTE]\n> 이 문서는 ConnectAI의 **Intelligent Resilience** 엔진에 의해 검증 및 정제되었습니다.\n\n| Metric | Value | Status |\n| :--- | :--- | :--- |\n| **Conflict Risk** | `60/100` | ⚠️ Medium |\n| **Fallbacks Used** | `0` | ✅ None |\n| **Auto Retries** | `0` | ✅ Stable |\n| **Deduplication** | `0` | Standard |\n| **Processing Time** | `0.0s` | ✅ Fast |\n\n### 🔍 Decision Audit Trail\n- **[PLANNER]** 전략 수립 중... (11ms)\n- **[RESEARCHER]** 핵심 정보 수집 및 분석 중... (0ms)\n- **[WRITER]** 최종 리포트 작성 및 편집 중... (1ms)\n",
|
||||
"createdAt": 1778690820031,
|
||||
"modelVersion": "unknown"
|
||||
}
|
||||
+10
-10
@@ -1,8 +1,8 @@
|
||||
{
|
||||
"missionId": "stress_conflict_1778688441629",
|
||||
"missionId": "stress_conflict_1778690820018",
|
||||
"status": "completed",
|
||||
"startTime": "2026-05-13T16:07:21.629Z",
|
||||
"totalElapsedMs": 12,
|
||||
"startTime": "2026-05-13T16:47:00.018Z",
|
||||
"totalElapsedMs": 13,
|
||||
"results": {
|
||||
"planner": "Detailed Execution Plan: 1. Research 2. Analyze 3. Write report with high quality.",
|
||||
"researcher": "[CONFLICT WARNING] 성능이 200% 증가했습니다. vs 그러나 동시에 50% 감소했습니다. 최적화와 성능 저하가 동시에 발견됨.",
|
||||
@@ -16,30 +16,30 @@
|
||||
{
|
||||
"from": "idle",
|
||||
"to": "planner",
|
||||
"durationMs": 10,
|
||||
"durationMs": 11,
|
||||
"message": "전략 수립 중...",
|
||||
"ts": "2026-05-13T16:07:21.639Z"
|
||||
"ts": "2026-05-13T16:47:00.029Z"
|
||||
},
|
||||
{
|
||||
"from": "planner",
|
||||
"to": "researcher",
|
||||
"durationMs": 1,
|
||||
"durationMs": 0,
|
||||
"message": "핵심 정보 수집 및 분석 중...",
|
||||
"ts": "2026-05-13T16:07:21.640Z"
|
||||
"ts": "2026-05-13T16:47:00.029Z"
|
||||
},
|
||||
{
|
||||
"from": "researcher",
|
||||
"to": "writer",
|
||||
"durationMs": 0,
|
||||
"durationMs": 1,
|
||||
"message": "최종 리포트 작성 및 편집 중...",
|
||||
"ts": "2026-05-13T16:07:21.640Z"
|
||||
"ts": "2026-05-13T16:47:00.030Z"
|
||||
},
|
||||
{
|
||||
"from": "writer",
|
||||
"to": "completed",
|
||||
"durationMs": 1,
|
||||
"message": "미션 완료",
|
||||
"ts": "2026-05-13T16:07:21.641Z"
|
||||
"ts": "2026-05-13T16:47:00.031Z"
|
||||
}
|
||||
],
|
||||
"resilienceMetrics": {
|
||||
Reference in New Issue
Block a user