init project

.bkit/audit/2026-04-23.jsonl

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.bkit/runtime/agent-state.json

@@ -0,0 +1,21 @@
+{
+  "version": "1.0",
+  "enabled": false,
+  "teamName": "",
+  "feature": "",
+  "pdcaPhase": "plan",
+  "orchestrationPattern": "leader",
+  "ctoAgent": "opus",
+  "startedAt": "2026-04-23T07:16:29.093Z",
+  "lastUpdated": "2026-04-23T07:20:19.184Z",
+  "teammates": [],
+  "progress": {
+    "totalTasks": 0,
+    "completedTasks": 0,
+    "inProgressTasks": 0,
+    "failedTasks": 0,
+    "pendingTasks": 0
+  },
+  "recentMessages": [],
+  "sessionId": "447cbd58-776c-45d1-bb67-4864a4449066"
+}

.bkit/state/pdca-status.json

@@ -0,0 +1,34 @@
+{
+  "version": "3.0",
+  "lastUpdated": "2026-04-23T07:09:59.804Z",
+  "activeFeatures": [],
+  "primaryFeature": null,
+  "features": {},
+  "pipeline": {
+    "currentPhase": 1,
+    "level": "Dynamic",
+    "phaseHistory": []
+  },
+  "session": {
+    "startedAt": "2026-04-23T07:09:59.583Z",
+    "onboardingCompleted": false,
+    "lastActivity": "2026-04-23T07:09:59.804Z"
+  },
+  "history": [],
+  "stateMachine": {
+    "defaultWorkflow": "default",
+    "activeWorkflows": {},
+    "totalTransitions": 0
+  },
+  "automation": {
+    "globalLevel": 2,
+    "trustScore": 40,
+    "pendingApprovals": 0,
+    "lastGateResult": null
+  },
+  "team": {
+    "enabled": true,
+    "stateFile": ".bkit/runtime/agent-state.json",
+    "eventsFile": ".bkit/runtime/agent-events.jsonl"
+  }
+}

.bkit/state/session-history.json

@@ -0,0 +1,10 @@
+[
+  {
+    "sessionId": "447cbd58-776c-45d1-bb67-4864a4449066",
+    "reason": "prompt_input_exit",
+    "endedAt": "2026-04-23T08:56:06.977Z",
+    "feature": null,
+    "phase": null,
+    "progress": null
+  }
+]

.idea/.gitignore

@@ -0,0 +1,10 @@
+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Ignored default folder with query files
+/queries/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

.idea/misc.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="py_ai" project-jdk-type="Python SDK">
+    <output url="file://$PROJECT_DIR$/out" />
+  </component>
+</project>

.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/youlbot.iml" filepath="$PROJECT_DIR$/youlbot.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>

CLAUDE.md

@@ -0,0 +1,27 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+**youlbot** — Python 프로젝트 (초기 단계). IntelliJ IDEA로 관리되며, `py_ai`라는 이름의 Python 가상 환경을 사용한다.
+
+## Environment
+
+- **Python SDK**: `py_ai` (IntelliJ에 등록된 가상 환경)
+- **IDE**: IntelliJ IDEA (`.idea/` 구성 포함)
+- **PDCA 도구**: bkit (`.bkit/` 디렉터리, Dynamic 레벨)
+
+## Development Workflow
+
+이 프로젝트는 bkit PDCA 방법론을 사용한다. 새 기능 작업 전에 Plan/Design 문서를 먼저 확인하고, 구현 후에는 Gap 분석을 수행한다.
+
+```
+/pdca       # PDCA 사이클 관리 (plan → design → do → check → act)
+/btw        # 작업 중 개선 제안 수집
+```
+
+## Notes
+
+- 소스 코드가 아직 없는 프로젝트 초기 단계이므로, 첫 코드 작성 시 이 파일을 업데이트할 것
+- `py_ai` 가상 환경 경로는 로컬 IntelliJ 설정에 따라 다를 수 있음

chat.py

@@ -0,0 +1,77 @@
+from mlx_lm import load, stream_generate
+
+MODEL_ID = "mlx-community/Qwen2.5-7B-Instruct-4bit"
+MAX_TOKENS = 1024
+MAX_HISTORY_TURNS = 10  # 최근 10턴만 유지해 메모리 절약
+
+SYSTEM_PROMPT = """당신은 친절하고 따뜻한 한국어 상담 도우미입니다.
+육아와 금융 두 분야를 전문으로 합니다.
+
+- 육아: 아이 발달, 이유식, 수면, 훈육, 교육 등 부모가 궁금해하는 모든 것을 도와드립니다.
+- 금융: 저축, 투자, 보험, 대출, 세금 등 생활 금융 관련 질문에 답변드립니다.
+
+항상 쉽고 친근한 말투로 설명하고, 전문 용어는 풀어서 설명합니다.
+의학적 진단이나 법적 판단이 필요한 경우에는 반드시 전문가 상담을 권유합니다."""
+
+
+def format_prompt(tokenizer, history: list[dict]) -> str:
+    return tokenizer.apply_chat_template(
+        history,
+        tokenize=False,
+        add_generation_prompt=True,
+    )
+
+
+def trim_history(history: list[dict], max_turns: int) -> list[dict]:
+    system_msgs = [m for m in history if m["role"] == "system"]
+    turn_msgs = [m for m in history if m["role"] != "system"]
+    if len(turn_msgs) > max_turns * 2:
+        turn_msgs = turn_msgs[-(max_turns * 2):]
+    return system_msgs + turn_msgs
+
+
+def main():
+    print(f"모델 로딩 중: {MODEL_ID}")
+    print("(첫 실행 시 HuggingFace에서 자동 다운로드됩니다. 약 4.5GB)\n")
+
+    model, tokenizer = load(MODEL_ID)
+
+    print("=" * 50)
+    print("육아 & 금융 상담 챗봇 시작!")
+    print("종료: '종료' / 'quit' / 'exit' 입력")
+    print("=" * 50 + "\n")
+
+    history = [{"role": "system", "content": SYSTEM_PROMPT}]
+
+    while True:
+        try:
+            user_input = input("나: ").strip()
+        except (EOFError, KeyboardInterrupt):
+            print("\n대화를 종료합니다.")
+            break
+
+        if not user_input:
+            continue
+
+        if user_input.lower() in ("종료", "quit", "exit"):
+            print("대화를 종료합니다.")
+            break
+
+        history.append({"role": "user", "content": user_input})
+        history = trim_history(history, MAX_HISTORY_TURNS)
+
+        prompt = format_prompt(tokenizer, history)
+
+        print("\n도우미: ", end="", flush=True)
+        response_text = ""
+
+        for chunk in stream_generate(model, tokenizer, prompt=prompt, max_tokens=MAX_TOKENS):
+            print(chunk.text, end="", flush=True)
+            response_text += chunk.text
+
+        print("\n")
+        history.append({"role": "assistant", "content": response_text})
+
+
+if __name__ == "__main__":
+    main()

docs/jetbrains-gateway-setup.md

@@ -0,0 +1,114 @@
+# JetBrains Gateway 원격 개발 환경 설정
+
+> Windows PC에서 편집 → Mac Mini M4에서 실행하는 환경 구축 가이드
+
+```
+Windows PC                    Mac Mini M4
+┌─────────────────┐           ┌─────────────────────┐
+│ JetBrains       │  SSH 연결  │ PyCharm 백엔드       │
+│ Gateway         │ ─────────▶│ ~/youlbot/chat.py   │
+│ (얇은 클라이언트) │           │ mlx-lm + M4 GPU     │
+└─────────────────┘           └─────────────────────┘
+     Windows에서 편집                Mac에서 실행
+```
+
+---
+
+## 1단계: Mac에서 SSH 활성화
+
+Mac Mini에서 아래 경로로 이동해 **원격 로그인**을 켭니다.
+
+```
+시스템 설정 → 일반 → 공유 → 원격 로그인 ON
+```
+
+활성화 후 화면에 표시되는 `사용자명@IP주소`를 메모해 둡니다.
+
+---
+
+## 2단계: 프로젝트를 Mac으로 전송 (Git)
+
+### Windows에서 (PowerShell)
+
+```bash
+cd C:/workspace_python/youlbot
+git add .
+git commit -m "init: chat.py 초기 코드"
+git remote add origin https://github.com/본인계정/youlbot.git
+git push -u origin master
+```
+
+### Mac 터미널에서
+
+```bash
+cd ~
+git clone https://github.com/본인계정/youlbot.git
+cd youlbot
+python -m venv py_ai
+source py_ai/bin/activate
+pip install -r requirements.txt
+```
+
+---
+
+## 3단계: JetBrains Gateway 설치 (Windows)
+
+아래 공식 사이트에서 다운로드 후 설치합니다.
+
+```
+https://www.jetbrains.com/remote-development/gateway/
+```
+
+---
+
+## 4단계: Gateway에서 Mac 연결
+
+1. Gateway 실행
+2. **New Connection** → **SSH** 선택
+3. 아래 정보 입력
+
+| 항목 | 값 |
+|------|-----|
+| Host | Mac의 IP 주소 |
+| Username | Mac 사용자명 |
+| Authentication | Password 또는 SSH Key |
+
+4. **Check Connection** 클릭해 연결 확인
+5. IDE 선택: **PyCharm** → 버전 선택 → **Download and Start IDE**
+   - Mac에 PyCharm 백엔드가 자동 설치됩니다 (최초 1회, 수분 소요)
+6. 프로젝트 경로 입력: `~/youlbot` → 열기
+
+---
+
+## 5단계: Python 인터프리터 설정
+
+PyCharm이 열리면 아래 경로에서 인터프리터를 연결합니다.
+
+```
+Settings → Project → Python Interpreter
+→ Add Interpreter → Add Local Interpreter
+→ ~/youlbot/py_ai 가상환경 선택
+```
+
+---
+
+## 6단계: 실행 확인
+
+PyCharm 터미널에서 아래 명령어로 챗봇을 실행합니다.
+
+```bash
+source py_ai/bin/activate
+python chat.py
+```
+
+첫 실행 시 HuggingFace에서 모델(약 4.5GB)이 자동 다운로드됩니다.
+
+---
+
+## 이후 개발 흐름
+
+```
+1. Windows Gateway에서 코드 수정
+2. Mac PyCharm 터미널에서 python chat.py 실행
+3. 변경사항은 git push/pull로 동기화
+```

requirements.txt

@@ -0,0 +1 @@
+mlx-lm>=0.19.0

youlbot.iml

@@ -0,0 +1,9 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager" inherit-compiler-output="true">
+    <exclude-output />
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="jdk" jdkName="py_ai" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>