feat(architecture): add multi-subproject awareness and automatic context resync
- Implemented subproject root resolution based on active editor hint - Added debounced event listener for active editor changes to trigger chip status updates - Updated sidebar provider to re-resolve active subproject root on every chip build - This ensures correct architecture context is injected when working in a monorepo or multi-root-style parent folder
This commit is contained in:
g1nation
@@ -3,15 +3,15 @@
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<!-- ASTRA:AUTO-START -->
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## Snapshot
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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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- **Workspace**: `ConnectAI` `v2.1.0` _(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**: 201 source files, ~35,737 lines across 5 top-level modules.
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- **Stats**: 202 source files, ~35,762 lines across 5 top-level modules.
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## Last Refresh
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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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- **Time**: 2026-05-13T16:54:00.117Z
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- **Files newly analysed**: 5
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- **Files reused from cache**: 197
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## Directory Map
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```mermaid
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@@ -41,7 +41,7 @@ flowchart LR
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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/>62 files"]
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docs["docs/<br/>63 files"]
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tests --> src
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```
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@@ -117,14 +117,14 @@ flowchart LR
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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, ~4,932 lines
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### `tests/` — 27 files, ~4,938 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` (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/agentEngine.test.ts` (782 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/` — 62 files, ~2,586 lines
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### `docs/` — 63 files, ~2,605 lines
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**Sub-directories**
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- `docs/records/` (50) — Astra Project Chronicle Records
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- `docs/records/` (51) — 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` (122 lines) — Project Timeline
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- `docs/records/ConnectAI/timeline.md` (125 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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@@ -307,7 +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: 2026-05-13T16:44:14.023Z · signature `c63276ae`_
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_Last auto-scan: 2026-05-13T16:54:00.117Z · signature `2c245387`_
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<!-- ASTRA:AUTO-END -->
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## Purpose
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@@ -1,6 +1,6 @@
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{
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"version": 1,
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"generatedAt": "2026-05-13T16:44:14.033Z",
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"generatedAt": "2026-05-13T16:54:00.128Z",
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"files": {
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"src/agent.ts": {
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"mtimeMs": 1778683690000,
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@@ -923,8 +923,8 @@
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]
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},
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"src/sidebarProvider.ts": {
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"mtimeMs": 1778686896000,
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"size": 127185,
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"mtimeMs": 1778690954000,
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"size": 127595,
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"lines": 2934,
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"role": "",
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"imports": [
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@@ -1056,9 +1056,9 @@
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"imports": []
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},
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"tests/agentEngine.test.ts": {
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"mtimeMs": 1778690526000,
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"size": 33414,
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"lines": 776,
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"mtimeMs": 1778690770000,
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"size": 33921,
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"lines": 782,
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"role": "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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"imports": [
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"src/lib/engine"
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@@ -1508,7 +1508,7 @@
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"imports": []
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},
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"docs/records/ConnectAI/chronicle.config.json": {
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"mtimeMs": 1778690568000,
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"mtimeMs": 1778690673000,
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"size": 416,
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"lines": 11,
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"role": "JSON configuration",
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@@ -1717,6 +1717,13 @@
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"role": "Development Log: 너는 분석 요청하거나 내가 작업 요청을 할때 connectai architecture.md 문서를 참고하고 작업을 하나?",
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"imports": []
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},
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"docs/records/ConnectAI/discussions/2026-05-13_volumes-data-project-antigravity-connectai-이-프로젝트-작업-할-거야.md": {
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"mtimeMs": 1778690673000,
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"size": 652,
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"lines": 16,
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"role": "Discussion: /Volumes/Data/project/Antigravity/ConnectAI 이 프로젝트 작업 할 거야.",
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"imports": []
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},
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"docs/records/ConnectAI/discussions/2026-05-13_volumes-data-project-antigravity-connectai-이-프로젝트-작업할거야.md": {
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"mtimeMs": 1778680095000,
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"size": 651,
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@@ -1767,9 +1774,9 @@
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"imports": []
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},
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"docs/records/ConnectAI/timeline.md": {
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"mtimeMs": 1778689955000,
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"size": 8165,
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"lines": 122,
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"mtimeMs": 1778690673000,
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"size": 8318,
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"lines": 125,
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"role": "Project Timeline",
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"imports": []
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},
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+1
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{
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"result": "Final report with inconsistencies. This should be long enough to pass validation.",
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"createdAt": 1778690820030,
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"createdAt": 1778691140353,
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"modelVersion": "unknown"
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}
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{
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"result": "[CONFLICT WARNING] 성능이 200% 증가했습니다. vs 그러나 동시에 50% 감소했습니다. 최적화와 성능 저하가 동시에 발견됨.",
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"createdAt": 1778690820030,
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"createdAt": 1778691140352,
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"modelVersion": "unknown"
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}
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+1
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{
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"result": "Detailed Execution Plan: 1. Research 2. Analyze 3. Write report with high quality.",
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"createdAt": 1778690820029,
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"createdAt": 1778691140352,
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"modelVersion": "unknown"
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}
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{
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"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",
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"createdAt": 1778690820031,
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"result": "---\nid: stress_conflict_1778691140340\ndate: 2026-05-13T16:52:20.353Z\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... (12ms)\n- **[RESEARCHER]** 핵심 정보 수집 및 분석 중... (0ms)\n- **[WRITER]** 최종 리포트 작성 및 편집 중... (0ms)\n",
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"createdAt": 1778691140353,
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"modelVersion": "unknown"
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}
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+8
-8
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{
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"missionId": "stress_conflict_1778690820018",
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"missionId": "stress_conflict_1778691140340",
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"status": "completed",
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"startTime": "2026-05-13T16:47:00.018Z",
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"startTime": "2026-05-13T16:52:20.340Z",
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"totalElapsedMs": 13,
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"results": {
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"planner": "Detailed Execution Plan: 1. Research 2. Analyze 3. Write report with high quality.",
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@@ -16,30 +16,30 @@
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{
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"to": "planner",
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"durationMs": 11,
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"durationMs": 12,
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"message": "전략 수립 중...",
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"ts": "2026-05-13T16:47:00.029Z"
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"ts": "2026-05-13T16:52:20.352Z"
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},
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{
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"message": "핵심 정보 수집 및 분석 중...",
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"ts": "2026-05-13T16:47:00.029Z"
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"ts": "2026-05-13T16:52:20.352Z"
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},
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{
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"from": "researcher",
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"to": "writer",
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"durationMs": 1,
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"durationMs": 0,
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"message": "최종 리포트 작성 및 편집 중...",
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"ts": "2026-05-13T16:47:00.030Z"
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"ts": "2026-05-13T16:52:20.352Z"
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},
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{
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"from": "writer",
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"to": "completed",
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"durationMs": 1,
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"message": "미션 완료",
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"ts": "2026-05-13T16:47:00.031Z"
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"ts": "2026-05-13T16:52:20.353Z"
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}
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],
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"resilienceMetrics": {
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