docs(10_Wiki): 위키 전체 재구성 — Topic_* 폴더를 4개 카테고리로 통합 + 대규모 중복 제거

Topic_Agent/Topic_Blog/Topics/Topics_Biz/Topics_Meeting/Topics_Rag의 마크다운 지식 문서를 Topic_General/Topic_Programming/Topic_Graphic/Topic_Business 4개 카테고리로 재분류. - 중복 제거: frontmatter의 status:duplicate/merged + duplicate_of/redirect_to 필드로 자기 자신을 중복으로 선언한 리다이렉트 stub 1032개 제거, 완전 동일 내용 파일 472개 제거, 동일 파일명·다른 내용 충돌 시 더 큰(완전한) 버전만 유지(162개 제거) — 총 1639개 중복 제거. - 분류: 폴더 단위로 명확한 항목(AI_and_ML/Coding/Architecture 등 → Programming, Comfyui/Visual_Effects → Graphic, Topics_Biz/Topics_Meeting/사업 등 → Business, Poetic_Blog_Writing/창의성/Game_Design 등 → General)은 폴더 우선순위로, 나머지 혼재 폴더(Topic_Agent/Topic_Blog/Topics 루트/Thinking & Reasoning/Other/UI_UX_Assets)는 title/tags 키워드 스코어링으로 파일 단위 분류(불명확한 경우 General로 폴백). 원본 폴더명은 "From_*" 서브폴더로 보존해 추적 가능성 유지. - 최종 배치: Programming 2784 / General 1608 / Graphic 285 / Business 249 = 4926개 문서. - 에이전트 운영 상태(.astra/.agent/.obsidian/sessions/memory/_company/docs/lessons/_shared/src)는 지식 콘텐츠가 아니므로 재분류 대상에서 제외하고 원위치 유지. - Topics/Topic_email(상위 보호 폴더 Topic_email과 파일명 100% 중복) 삭제 — 보호 폴더 자체는 미변경. - 완전히 비게 된 Topic_Agent/Topic_Blog/Topics_Biz/Topics_Rag 폴더 제거.
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+---
+id: wiki-2026-0508-e-component-execution-loop
+title: E-component (Execution Loop)
+category: 10_Wiki/Topics
+status: verified
+canonical_id: self
+aliases: [Execution Loop, E-Loop, Agent Runtime Loop]
+duplicate_of: none
+source_trust_level: A
+confidence_score: 0.9
+verification_status: applied
+tags: [agent, runtime, llm, architecture]
+raw_sources: []
+last_reinforced: 2026-05-10
+github_commit: pending
+tech_stack:
+  language: Python
+  framework: anthropic-sdk
+---
+
+# E-component (Execution Loop)
+
+## 매 한 줄
+> **"매 LLM agent 의 heartbeat"**. 매 EST (Execution / State / Tools) component triad 의 E — 매 model-call → 매 tool-dispatch → 매 result-feedback 의 inner loop. 매 Claude Agent SDK / OpenAI Assistants / LangGraph 매 same primitive.
+
+## 매 핵심
+
+### 매 mechanism
+1. Send messages + tool definitions to LLM.
+2. LLM 매 returns text + (optional) tool_use blocks.
+3. If tool_use: dispatch to T-component (Tool Registry), append tool_result to state.
+4. Loop until 매 stop_reason == "end_turn" or max_iterations.
+
+### 매 components
+- **E (this)**: orchestrator — message-pump.
+- **S** (State Store): conversation history, scratch state.
+- **T** (Tool Registry): handler dispatch, schema validation.
+
+### 매 응용
+1. Code agents (Claude Code, Cursor, Devin).
+2. Research agents (Perplexity, Deep Research).
+3. Workflow automation.
+
+## 💻 패턴
+
+### Minimal execution loop (Anthropic SDK 2026)
+```python
+from anthropic import Anthropic
+client = Anthropic()
+
+def run(messages, tools, dispatch, max_iters=20):
+    for _ in range(max_iters):
+        resp = client.messages.create(
+            model="claude-opus-4-7",
+            max_tokens=4096,
+            tools=tools,
+            messages=messages,
+        )
+        messages.append({"role": "assistant", "content": resp.content})
+        if resp.stop_reason == "end_turn":
+            return resp
+        tool_results = [
+            {"type": "tool_result", "tool_use_id": b.id, "content": dispatch(b.name, b.input)}
+            for b in resp.content if b.type == "tool_use"
+        ]
+        messages.append({"role": "user", "content": tool_results})
+    raise RuntimeError("max iterations exceeded")
+```
+
+### Streaming variant
+```python
+with client.messages.stream(model="claude-opus-4-7", messages=messages, tools=tools) as stream:
+    for event in stream:
+        if event.type == "content_block_delta":
+            print(event.delta.text, end="", flush=True)
+    final = stream.get_final_message()
+```
+
+### Tool dispatch (T-component plug-in)
+```python
+TOOLS = {
+    "read_file": lambda input: open(input["path"]).read(),
+    "list_dir":  lambda input: os.listdir(input["path"]),
+}
+def dispatch(name, input):
+    try: return TOOLS[name](input)
+    except Exception as e: return f"Error: {e}"
+```
+
+### Stop conditions
+```python
+STOP = {"end_turn", "stop_sequence", "max_tokens"}
+if resp.stop_reason in STOP: break
+```
+
+### Prompt caching the system + tools
+```python
+resp = client.messages.create(
+    model="claude-opus-4-7",
+    system=[{"type": "text", "text": SYSTEM, "cache_control": {"type": "ephemeral"}}],
+    tools=[{**t, "cache_control": {"type": "ephemeral"}} for t in tools],
+    messages=messages,
+)
+```
+
+### Budget guard
+```python
+total_tokens = 0
+while True:
+    resp = client.messages.create(...)
+    total_tokens += resp.usage.input_tokens + resp.usage.output_tokens
+    if total_tokens > BUDGET: raise BudgetExceeded()
+```
+
+## 매 결정 기준
+| 상황 | Approach |
+|---|---|
+| Single-turn task | Direct API call |
+| Multi-tool task | E-loop |
+| Long-running workflow | E-loop + checkpointing (S) |
+
+**기본값**: E-loop + prompt caching + budget guard + max-iter clamp.
+
+## 🔗 Graph
+- 부모: [[Agent-Architecture]]
+- 변형: [[ReAct]]
+- 응용: [[LangGraph]]
+- Adjacent: [[S-component (State Store)]] · [[T-component (Tool Registry)]]
+
+## 🤖 LLM 활용
+**언제**: building agent runtime, multi-step tool-use task.
+**언제 X**: pure single-shot prompt (no tools, no state).
+
+## ❌ 안티패턴
+- **No max-iter cap**: 매 infinite-loop 의 risk.
+- **No budget guard**: 매 unbounded cost.
+- **Recreating system prompt per turn**: cache miss → 매 5-10x cost.
+
+## 🧪 검증 / 중복
+- Verified (Anthropic Messages API docs, Claude Agent SDK).
+- 신뢰도 A.
+
+## 🕓 Changelog
+| 날짜 | 변경 |
+|---|---|
+| 2026-05-08 | Phase 1 |
+| 2026-05-10 | Manual cleanup — E-component FULL with SDK 2026 loop patterns |