fix(api): 全面清除假信心分數 - 遵循 feedback_confidence_truthfulness.md

🔴 違規修正: 規則匹配/Expert System 不是 AI 分析，confidence 必須 = 0.0

修正檔案:
- agents/action_planner.py: 0.9 → 0.0
- agents/blast_radius.py: 0.85/0.5/0.9 → 0.0
- agents/security.py: 計算公式 → 0.0
- signoz_webhook.py: 0.7 → 0.0
- auto_approve.py: default 0.5 → 0.0
- ci_auto_repair.py: 整個計算函數 → return 0.0
- error_analyzer_service.py: default 0.5 → 0.0
- intent_classifier.py: 計算公式 → 0.0
- openclaw.py: default 0.5 → 0.0
- resource_resolver.py: 0.8 → 0.0
- k8s_naming.py: 0.9/0.7 → 0.0

只有 LLM 真實分析返回的 confidence 才能 > 0

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

apps/api/src/services/error_analyzer_service.py

@@ -329,7 +329,7 @@ class ErrorAnalyzerService:
                 fix_recommendation=fix_recommendation,
                 prevention=prevention,
                 related_files=data.get("related_files", []),
-                confidence=float(data.get("confidence", 0.5)),
+                confidence=float(data.get("confidence", 0.0)),  # 🔴 無信心度=規則匹配
                 reasoning=data.get("reasoning", ""),
             )