fix: MLX 서버(localhost:8800) 대응 — Ollama API → OpenAI 호환 변경

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

applescript/auto_classify.scpt

@@ -27,8 +27,8 @@ on performSmartRule(theRecords)
 				-- 문서 텍스트를 프롬프트에 삽입 (특수문자 이스케이프)
 				set escapedText to do shell script "echo " & quoted form of docText & " | sed 's/\\\\/\\\\\\\\/g; s/\"/\\\\\"/g; s/\\n/\\\\n/g' | head -c 4000"
 
-				-- 3. Ollama API 호출
-				set curlCmd to "curl -s --max-time 120 http://localhost:11434/api/generate -d '{\"model\": \"qwen3.5:35b-a3b-q4_K_M\", \"prompt\": " & quoted form of escapedText & ", \"stream\": false, \"format\": \"json\"}'"
+				-- 3. MLX 서버 API 호출 (OpenAI 호환)
+				set curlCmd to "curl -s --max-time 120 http://localhost:8800/v1/chat/completions -H 'Content-Type: application/json' -d '{\"model\": \"mlx-community/Qwen3.5-35B-A3B-4bit\", \"messages\": [{\"role\": \"user\", \"content\": " & quoted form of escapedText & "}], \"temperature\": 0.3, \"max_tokens\": 1024}'"
 				set jsonResult to do shell script curlCmd
 
 				-- 4. JSON 파싱 (Python 사용)
@@ -36,7 +36,8 @@ on performSmartRule(theRecords)
 import sys, json
 try:
     r = json.loads(sys.stdin.read())
-    d = json.loads(r.get('response', '{}'))
+    content = r['choices'][0]['message']['content']
+    d = json.loads(content)
     tags = ','.join(d.get('tags', []))
     db = d.get('domain_db', '00_Note_BOX')
     grp = d.get('sub_group', '00_Inbox')