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feat(aiops): structure agent loop shadow output
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2026-05-01 15:09:57 +08:00
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docs/adr/ADR-105-mcp-agent-loop-governance.md
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@@ -74,6 +74,8 @@ OpenClaw 先接 read-only shadow investigation，而不是直接替換主決策
- 允許工具：Kubernetes / Prometheus / SignOz / Database / RAG / Grafana 的 read-only tools
- Provider：本地 Ollama 優先，不新增 Gemini/Claude 付費呼叫
- 影響面：只附加 `agent_loop_shadow` metadata，不覆蓋 `action`、`risk_level`、`confidence` 或 Nemotron tool result
- Structured metadata：shadow raw response 需正規化為 `agent_loop_shadow.structured`，包含 `root_cause_check`、`evidence_used`、`confidence_delta`、`missing_evidence`、`human_or_ai_next_step`、`parse_status`
- Confidence delta：canary 階段只可記錄 0 到 -0.15 的保守 metadata，正值一律歸零；任何 score 或 auto-execute gate 變更需另開 ADR/Logbook 並通過 production audit
- 失敗策略：log warning 後回到既有 proposal / Nemotron / Playbook 路徑
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