Phase 7a-2: id-9b Modelfile (no-think) + 이드 페르소나 강화

- Modelfile.id-9b 생성: qwen3.5:9b-q8_0 기반, no-think ChatML 템플릿
- 모든 Ollama 호출(8개 노드+2개 Python)에 system: '/no_think' 이중 방어
- Call Haiku/Opus: 이드 페르소나 [자아]/[성격]/[말투]/[응답 원칙]/[기억] 강화
- Call Qwen Response: system 파라미터 분리 + 경량 자아 추가
- Claude API 노드에는 /no_think 미적용

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

CLAUDE.md

@@ -161,4 +161,4 @@ DEVONthink 4 (맥미니):
 - response_tier는 Qwen v2 분류기 출력. 기존 complexity 기반 라우팅은 레거시 호환
 - n8n v2.11+ Code 노드는 Task Runner 샌드박스(VM)에서 실행됨. `$http.request()`/`this.helpers.httpRequest()`/`fetch()`/`AbortController`/`URL` 사용 불가. `require('http')`/`require('https')`/`require('url')` 사용 (NODE_FUNCTION_ALLOW_BUILTIN=crypto,http,https,url). 각 Code 노드에 `httpPost`/`httpPut` 헬퍼 함수 인라인 정의
 - 샌드박스 사용 가능: `Buffer`, `setTimeout`, `TextEncoder`, `FormData`, `$env`, `$input`, `$()`, `$getWorkflowStaticData()`, `$json`, `require('url').parse()` (new URL 불가), `console`
-- id-9b:latest가 기본 GPU 모델. qwen3.5:9b-q8_0은 레거시 백업이며 검증 완료 후 삭제 예정
+- id-9b:latest가 기본 GPU 모델 (Modelfile: `ollama/Modelfile.id-9b`, FROM qwen3.5:9b-q8_0 + no-think 템플릿). 모든 Ollama 호출에 `system: '/no_think'` 이중 방어 적용

inbox_processor.py

@@ -132,7 +132,7 @@ type 판단:
     try:
         resp = httpx.post(
             f"{GPU_OLLAMA_URL}/api/generate",
-            json={"model": "id-9b:latest", "prompt": prompt, "stream": False, "format": "json", "think": False},
+            json={"model": "id-9b:latest", "system": "/no_think", "prompt": prompt, "stream": False, "format": "json", "think": False},
             timeout=15,
         )
         return json.loads(resp.json()["response"])

n8n/workflows/mail-processing-pipeline.json

@@ -22,7 +22,10 @@
       "name": "IMAP Trigger",
       "type": "n8n-nodes-base.imapEmail",
       "typeVersion": 2,
-      "position": [0, 300]
+      "position": [
+        0,
+        300
+      ]
     },
     {
       "parameters": {
@@ -32,17 +35,23 @@
       "name": "Parse Mail",
       "type": "n8n-nodes-base.code",
       "typeVersion": 1,
-      "position": [220, 300]
+      "position": [
+        220,
+        300
+      ]
     },
     {
       "parameters": {
-        "jsCode": "function httpPost(url, body, { timeout = 15000, headers = {} } = {}) {\n  return new Promise((resolve, reject) => {\n    const data = JSON.stringify(body);\n    const u = require('url').parse(url);\n    const mod = require(u.protocol === 'https:' ? 'https' : 'http');\n    const req = mod.request({\n      hostname: u.hostname, port: u.port, path: u.path,\n      method: 'POST',\n      headers: { 'Content-Type': 'application/json', 'Content-Length': Buffer.byteLength(data), ...headers }\n    }, (res) => {\n      let body = '';\n      res.on('data', c => body += c);\n      res.on('end', () => {\n        if (res.statusCode >= 400) return reject(new Error(url + ' \\u2192 ' + res.statusCode + ': ' + body.slice(0, 200)));\n        try { resolve(JSON.parse(body)); } catch(e) { reject(new Error('JSON parse error: ' + body.slice(0, 200))); }\n      });\n    });\n    req.on('error', reject);\n    req.setTimeout(timeout, () => { req.destroy(); reject(new Error(url + ' \\u2192 timeout after ' + timeout + 'ms')); });\n    req.write(data);\n    req.end();\n  });\n}\n\nconst item = $input.first().json;\nconst prompt = `메일을 분류하고 요약하세요. JSON만 출력.\n\n{\n  \"summary\": \"한국어 2~3문장 요약\",\n  \"label\": \"업무|개인|광고|알림\",\n  \"has_events\": true/false,\n  \"has_tasks\": true/false\n}\n\n보낸 사람: ${item.from}\n제목: ${item.subject}\n본문: ${item.body.substring(0, 3000)}`;\n\ntry {\n  const r = await httpPost(`${$env.GPU_OLLAMA_URL}/api/generate`,\n    { model: 'id-9b:latest', prompt, stream: false, format: 'json', think: false },\n    { timeout: 15000 }\n  );\n  const cls = JSON.parse(r.response);\n  return [{ json: { ...item, summary: cls.summary || item.subject, label: cls.label || '알림', has_events: cls.has_events || false, has_tasks: cls.has_tasks || false } }];\n} catch(e) {\n  return [{ json: { ...item, summary: item.subject, label: '알림', has_events: false, has_tasks: false } }];\n}"
+        "jsCode": "function httpPost(url, body, { timeout = 15000, headers = {} } = {}) {\n  return new Promise((resolve, reject) => {\n    const data = JSON.stringify(body);\n    const u = require('url').parse(url);\n    const mod = require(u.protocol === 'https:' ? 'https' : 'http');\n    const req = mod.request({\n      hostname: u.hostname, port: u.port, path: u.path,\n      method: 'POST',\n      headers: { 'Content-Type': 'application/json', 'Content-Length': Buffer.byteLength(data), ...headers }\n    }, (res) => {\n      let body = '';\n      res.on('data', c => body += c);\n      res.on('end', () => {\n        if (res.statusCode >= 400) return reject(new Error(url + ' \\u2192 ' + res.statusCode + ': ' + body.slice(0, 200)));\n        try { resolve(JSON.parse(body)); } catch(e) { reject(new Error('JSON parse error: ' + body.slice(0, 200))); }\n      });\n    });\n    req.on('error', reject);\n    req.setTimeout(timeout, () => { req.destroy(); reject(new Error(url + ' \\u2192 timeout after ' + timeout + 'ms')); });\n    req.write(data);\n    req.end();\n  });\n}\n\nconst item = $input.first().json;\nconst prompt = `메일을 분류하고 요약하세요. JSON만 출력.\n\n{\n  \"summary\": \"한국어 2~3문장 요약\",\n  \"label\": \"업무|개인|광고|알림\",\n  \"has_events\": true/false,\n  \"has_tasks\": true/false\n}\n\n보낸 사람: ${item.from}\n제목: ${item.subject}\n본문: ${item.body.substring(0, 3000)}`;\n\ntry {\n  const r = await httpPost(`${$env.GPU_OLLAMA_URL}/api/generate`,\n    { model: 'id-9b:latest', system: '/no_think', prompt, stream: false, format: 'json', think: false },\n    { timeout: 15000 }\n  );\n  const cls = JSON.parse(r.response);\n  return [{ json: { ...item, summary: cls.summary || item.subject, label: cls.label || '알림', has_events: cls.has_events || false, has_tasks: cls.has_tasks || false } }];\n} catch(e) {\n  return [{ json: { ...item, summary: item.subject, label: '알림', has_events: false, has_tasks: false } }];\n}"
       },
       "id": "m1000001-0000-0000-0000-000000000003",
       "name": "Summarize & Classify",
       "type": "n8n-nodes-base.code",
       "typeVersion": 1,
-      "position": [440, 300]
+      "position": [
+        440,
+        300
+      ]
     },
     {
       "parameters": {
@@ -54,7 +63,10 @@
       "name": "Save to mail_logs",
       "type": "n8n-nodes-base.postgres",
       "typeVersion": 2.5,
-      "position": [660, 300],
+      "position": [
+        660,
+        300
+      ],
       "credentials": {
         "postgres": {
           "id": "KaxU8iKtraFfsrTF",
@@ -70,7 +82,10 @@
       "name": "Embed & Save",
       "type": "n8n-nodes-base.code",
       "typeVersion": 1,
-      "position": [880, 300]
+      "position": [
+        880,
+        300
+      ]
     },
     {
       "parameters": {
@@ -108,7 +123,10 @@
       "name": "Is Important?",
       "type": "n8n-nodes-base.if",
       "typeVersion": 2.2,
-      "position": [1100, 300]
+      "position": [
+        1100,
+        300
+      ]
     },
     {
       "parameters": {
@@ -125,7 +143,10 @@
       "name": "Notify Chat",
       "type": "n8n-nodes-base.httpRequest",
       "typeVersion": 4.2,
-      "position": [1320, 200]
+      "position": [
+        1320,
+        200
+      ]
     }
   ],
   "connections": {
@@ -200,4 +221,4 @@
   "settings": {
     "executionOrder": "v1"
   }
-}
+}

news_digest.py

@@ -105,6 +105,7 @@ def translate_and_summarize(title: str, content: str, lang: str) -> dict:
                 f"{GPU_OLLAMA_URL}/api/generate",
                 json={
                     "model": "id-9b:latest",
+                    "system": "/no_think",
                     "prompt": f"다음 기사를 2~3문장으로 요약하세요:\n\n제목: {title}\n본문: {content[:3000]}",
                     "stream": False,
                     "think": False,

ollama/Modelfile.id-9b

@@ -0,0 +1,15 @@
+FROM qwen3.5:9b-q8_0
+
+SYSTEM "/no_think"
+
+PARAMETER temperature 0.7
+PARAMETER num_ctx 8192
+
+TEMPLATE """{{- if .System }}<|im_start|>system
+{{ .System }}<|im_end|>
+{{ end }}{{- range .Messages }}{{- if eq .Role "user" }}<|im_start|>user
+{{ .Content }}<|im_end|>
+{{ else if eq .Role "assistant" }}<|im_start|>assistant
+{{ .Content }}<|im_end|>
+{{ end }}{{- end }}<|im_start|>assistant
+"""