feat(governance): 新增 AI 技術雷達滾動監控

docs/operations/AI-TECHNOLOGY-RADAR-READBACK-2026-06-25.md

@@ -0,0 +1,70 @@
+# AI 技術雷達與滾動更新讀回
+
+- 產生時間：`2026-06-25T03:56:51.751955+00:00`
+- 整體治理完成度：`42.2%`
+- AI 技術雷達來源成功率：`100.0%`
+- 監控技術項目：`20`
+- 技術領域：`6`
+- 官方 / primary sources：`47`
+- 來源失敗：`0`
+- 需要審核變更：`0`
+- 高優先級項目：`14`
+- 滾動更新狀態：`near_real_time_watch_ready_integration_gated`
+
+## 技術領域覆蓋
+
+| 技術領域 | 技術數 | 高優先級 | 需要審核 | 代表技術 |
+|---|---:|---:|---:|---|
+| `agent_frameworks` | `6` | `5` | `0` | OpenAI Agents SDK, NVIDIA Nemotron + NeMo Agent Toolkit, LangGraph, Google Agent Development Kit |
+| `evaluation_and_observability` | `2` | `2` | `0` | Ragas, Langfuse |
+| `mcp_and_a2a` | `2` | `2` | `0` | Model Context Protocol SDK, Agent2Agent Protocol |
+| `model_providers` | `3` | `3` | `0` | OpenAI Model Platform, Anthropic Claude Platform, Google Gemini Platform |
+| `model_serving` | `2` | `0` | `0` | Hugging Face Text Generation Inference, vLLM |
+| `rag_and_vector` | `5` | `2` | `0` | LlamaIndex, LangChain, pgvector, Qdrant |
+
+## 高優先級審核佇列
+
+| 技術 | 領域 | 優先級 | Gate | 下一步 |
+|---|---|---|---|---|
+
+## Agent 專業分工
+
+| Agent | 專業角色 | 自動化範圍 | 需要審核的邊界 |
+|---|---|---|---|
+| OpenClaw | 生產決策仲裁者、風險分級與最後 policy guard | 維持現有 production baseline、讀取 replay / shadow 評分、拒絕無證據替換 | 任何取代、降級、生產路由切換都必須通過 replay / shadow / canary 與人工批准。 |
+| NemoTron | 離線回放評估者、模型能力比較、合約輸出 smoke gate | 只讀 request pack、比對候選輸出、產生 replay scorecard 草稿 | 不得自行呼叫外部 NIM/API、不得讀 labels 作答、不得進生產路由。 |
+| Hermes | 知識管理、RAG 整理、報告草稿與長期技能庫維護 | 整理 primary source 摘要、建立 no-send 日週月報、準備人審包 | 不得同步 raw chat history、不得保存 secret、不得直接發 Telegram live report。 |
+| MarketRadar | AI 技術市場雷達、版本監控、來源失敗偵測 | 每 6 小時只讀 primary sources、產生 freshness / review queue | 不得自動新增 SDK、不得自動修改 provider route 或 workflow 行為。 |
+| Critic / Reviewer | 獨立審核、反例檢查、整合風險評分 | 檢查政策旗標、來源可靠性、成本與資安風險 | 只能輸出 blocked / candidate / owner_review，不得直接執行寫入。 |
+
+## 滾動更新控制
+
+| 節奏 | Agent 可自動做什麼 | 輸出 | Gate |
+|---|---|---|---|
+| 每 6 小時 | 讀取官方文件、PyPI、npm、GitHub release、primary source hash。 | AI 技術 watch report、來源失敗清單、review queue。 | `read_only_only` |
+| 每日 | 依 business applicability、成本、依賴、資安、AWOOOI fit 分類。 | 日報摘要與中低風險自動處理建議。 | `no_send_report_until_delivery_gate` |
+| 每週 | 刷新 scorecard，決定 sandbox / replay / adapter design 優先級。 | 週報、優先序、候選整合審查包。 | `scorecard_required_before_replay` |
+| 每月 | 彙整趨勢，提出 roadmap / watch-only / retire 建議。 | 月報與策略審核包。 | `human_review_for_strategy_or_production_change` |
+
+## 優先工作清單
+
+| 順序 | 工作 | 優先級 | 自動化模式 | 完成定義 |
+|---:|---|---|---|---|
+| 1 | AI 技術雷達 primary source 監控產品化 | `P0` | `agent_auto_read_only` | API、snapshot、Markdown、schema、測試與 production readback 都能顯示技術領域、來源與 Gate。 |
+| 2 | 近即時版本 / release / docs 變更偵測 | `P0` | `agent_auto_schedule_read_only` | 每 6 小時可跑 watch；失敗來源會進日報，不會自動整合。 |
+| 3 | OpenClaw / Hermes / NemoTron / MarketRadar 專業分工與成長紀錄 | `P0` | `agent_auto_read_model_human_review_for_write` | 每個 Agent 的角色、輸出、學習寫回與限制都能被前端讀回。 |
+| 4 | AI 技術 scorecard 與 sandbox / replay 優先級 | `P1` | `agent_propose_owner_review` | 高優先級變更先進 scorecard，再進 no-cost/no-write sandbox 或 replay 計畫。 |
+| 5 | Telegram Bot 報告與高風險審核橋接 | `P1` | `blocked_until_telegram_send_gate` | 低中風險只告警回報；高風險需 owner approval 後才可發送或執行。 |
+| 6 | 新 AI 技術探索與 watchlist 擴充 | `P2` | `agent_auto_discover_human_classify` | GitHub topic / package registry / 官方 blog 可提出候選，但加入正式 watchlist 前需審核。 |
+
+## 仍被 Gate 擋下
+
+- `sdk_installation_approved=false`
+- `paid_api_calls_approved=false`
+- `production_routing_approved=false`
+- `telegram_send_approved=false`
+- `model_provider_switch_approved=false`
+- `host_write_approved=false`
+- `openclaw_replacement_approved=false`
+- `replay_shadow_canary_gate_required=true`
+- `cost_and_data_boundary_review_required=true`

docs/operations/AI-TECHNOLOGY-RADAR-READBACK.md

@@ -0,0 +1,70 @@
+# AI 技術雷達與滾動更新讀回
+
+- 產生時間：`2026-06-25T03:56:51.751955+00:00`
+- 整體治理完成度：`42.2%`
+- AI 技術雷達來源成功率：`100.0%`
+- 監控技術項目：`20`
+- 技術領域：`6`
+- 官方 / primary sources：`47`
+- 來源失敗：`0`
+- 需要審核變更：`0`
+- 高優先級項目：`14`
+- 滾動更新狀態：`near_real_time_watch_ready_integration_gated`
+
+## 技術領域覆蓋
+
+| 技術領域 | 技術數 | 高優先級 | 需要審核 | 代表技術 |
+|---|---:|---:|---:|---|
+| `agent_frameworks` | `6` | `5` | `0` | OpenAI Agents SDK, NVIDIA Nemotron + NeMo Agent Toolkit, LangGraph, Google Agent Development Kit |
+| `evaluation_and_observability` | `2` | `2` | `0` | Ragas, Langfuse |
+| `mcp_and_a2a` | `2` | `2` | `0` | Model Context Protocol SDK, Agent2Agent Protocol |
+| `model_providers` | `3` | `3` | `0` | OpenAI Model Platform, Anthropic Claude Platform, Google Gemini Platform |
+| `model_serving` | `2` | `0` | `0` | Hugging Face Text Generation Inference, vLLM |
+| `rag_and_vector` | `5` | `2` | `0` | LlamaIndex, LangChain, pgvector, Qdrant |
+
+## 高優先級審核佇列
+
+| 技術 | 領域 | 優先級 | Gate | 下一步 |
+|---|---|---|---|---|
+
+## Agent 專業分工
+
+| Agent | 專業角色 | 自動化範圍 | 需要審核的邊界 |
+|---|---|---|---|
+| OpenClaw | 生產決策仲裁者、風險分級與最後 policy guard | 維持現有 production baseline、讀取 replay / shadow 評分、拒絕無證據替換 | 任何取代、降級、生產路由切換都必須通過 replay / shadow / canary 與人工批准。 |
+| NemoTron | 離線回放評估者、模型能力比較、合約輸出 smoke gate | 只讀 request pack、比對候選輸出、產生 replay scorecard 草稿 | 不得自行呼叫外部 NIM/API、不得讀 labels 作答、不得進生產路由。 |
+| Hermes | 知識管理、RAG 整理、報告草稿與長期技能庫維護 | 整理 primary source 摘要、建立 no-send 日週月報、準備人審包 | 不得同步 raw chat history、不得保存 secret、不得直接發 Telegram live report。 |
+| MarketRadar | AI 技術市場雷達、版本監控、來源失敗偵測 | 每 6 小時只讀 primary sources、產生 freshness / review queue | 不得自動新增 SDK、不得自動修改 provider route 或 workflow 行為。 |
+| Critic / Reviewer | 獨立審核、反例檢查、整合風險評分 | 檢查政策旗標、來源可靠性、成本與資安風險 | 只能輸出 blocked / candidate / owner_review，不得直接執行寫入。 |
+
+## 滾動更新控制
+
+| 節奏 | Agent 可自動做什麼 | 輸出 | Gate |
+|---|---|---|---|
+| 每 6 小時 | 讀取官方文件、PyPI、npm、GitHub release、primary source hash。 | AI 技術 watch report、來源失敗清單、review queue。 | `read_only_only` |
+| 每日 | 依 business applicability、成本、依賴、資安、AWOOOI fit 分類。 | 日報摘要與中低風險自動處理建議。 | `no_send_report_until_delivery_gate` |
+| 每週 | 刷新 scorecard，決定 sandbox / replay / adapter design 優先級。 | 週報、優先序、候選整合審查包。 | `scorecard_required_before_replay` |
+| 每月 | 彙整趨勢，提出 roadmap / watch-only / retire 建議。 | 月報與策略審核包。 | `human_review_for_strategy_or_production_change` |
+
+## 優先工作清單
+
+| 順序 | 工作 | 優先級 | 自動化模式 | 完成定義 |
+|---:|---|---|---|---|
+| 1 | AI 技術雷達 primary source 監控產品化 | `P0` | `agent_auto_read_only` | API、snapshot、Markdown、schema、測試與 production readback 都能顯示技術領域、來源與 Gate。 |
+| 2 | 近即時版本 / release / docs 變更偵測 | `P0` | `agent_auto_schedule_read_only` | 每 6 小時可跑 watch；失敗來源會進日報，不會自動整合。 |
+| 3 | OpenClaw / Hermes / NemoTron / MarketRadar 專業分工與成長紀錄 | `P0` | `agent_auto_read_model_human_review_for_write` | 每個 Agent 的角色、輸出、學習寫回與限制都能被前端讀回。 |
+| 4 | AI 技術 scorecard 與 sandbox / replay 優先級 | `P1` | `agent_propose_owner_review` | 高優先級變更先進 scorecard，再進 no-cost/no-write sandbox 或 replay 計畫。 |
+| 5 | Telegram Bot 報告與高風險審核橋接 | `P1` | `blocked_until_telegram_send_gate` | 低中風險只告警回報；高風險需 owner approval 後才可發送或執行。 |
+| 6 | 新 AI 技術探索與 watchlist 擴充 | `P2` | `agent_auto_discover_human_classify` | GitHub topic / package registry / 官方 blog 可提出候選，但加入正式 watchlist 前需審核。 |
+
+## 仍被 Gate 擋下
+
+- `sdk_installation_approved=false`
+- `paid_api_calls_approved=false`
+- `production_routing_approved=false`
+- `telegram_send_approved=false`
+- `model_provider_switch_approved=false`
+- `host_write_approved=false`
+- `openclaw_replacement_approved=false`
+- `replay_shadow_canary_gate_required=true`
+- `cost_and_data_boundary_review_required=true`

docs/operations/ai-technology-radar-readback.snapshot.json

@@ -0,0 +1,496 @@
+{
+  "blocked_gates": [
+    "sdk_installation_approved=false",
+    "paid_api_calls_approved=false",
+    "production_routing_approved=false",
+    "telegram_send_approved=false",
+    "model_provider_switch_approved=false",
+    "host_write_approved=false",
+    "openclaw_replacement_approved=false",
+    "replay_shadow_canary_gate_required=true",
+    "cost_and_data_boundary_review_required=true"
+  ],
+  "generated_at": "2026-06-25T03:56:51.751955+00:00",
+  "high_priority_review_queue": [],
+  "integration_candidates": [
+    {
+      "awoooi_role": "協調者、handoff、tool tracing、guardrail 候選",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "OpenAI Agents SDK",
+      "integration_surface": "agent_handoff_tracing_guardrails",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "agent_frameworks",
+      "technology_id": "openai_agents_sdk"
+    },
+    {
+      "awoooi_role": "NemoTron replay / evaluator / synthetic data gate",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "NVIDIA Nemotron + NeMo Agent Toolkit",
+      "integration_surface": "offline_replay_evaluator_smoke_gate",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "agent_frameworks",
+      "technology_id": "nvidia_nemotron_nemo"
+    },
+    {
+      "awoooi_role": "事件處理與可恢復 workflow kernel 候選",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "LangGraph",
+      "integration_surface": "durable_workflow_human_in_loop",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "agent_frameworks",
+      "technology_id": "langgraph_runtime"
+    },
+    {
+      "awoooi_role": "Gemini/Vertex agent stack watch-only 候選",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "Google Agent Development Kit",
+      "integration_surface": "gemini_enterprise_agent_stack",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "agent_frameworks",
+      "technology_id": "google_adk_stack"
+    },
+    {
+      "awoooi_role": "MCP/A2A enterprise workflow watch-only 候選",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "Microsoft Agent Framework",
+      "integration_surface": "enterprise_mcp_a2a_workflow",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "agent_frameworks",
+      "technology_id": "microsoft_agent_framework"
+    },
+    {
+      "awoooi_role": "快速 prototype / non-production 評估候選",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "CrewAI Flows + Crews",
+      "integration_surface": "multi_agent_prototype",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "agent_frameworks",
+      "technology_id": "crewai_flows"
+    },
+    {
+      "awoooi_role": "read-only tool registry / MCP adapter 候選",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "Model Context Protocol SDK",
+      "integration_surface": "tool_registry_interoperability",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "mcp_and_a2a",
+      "technology_id": "modelcontextprotocol_sdk"
+    },
+    {
+      "awoooi_role": "跨 Agent 溝通協定 watch-only 候選",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "Agent2Agent Protocol",
+      "integration_surface": "agent_to_agent_interop",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "mcp_and_a2a",
+      "technology_id": "a2a_protocol"
+    },
+    {
+      "awoooi_role": "模型能力、成本與 routing scorecard 來源",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "OpenAI Model Platform",
+      "integration_surface": "model_capability_cost_routing",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "model_providers",
+      "technology_id": "openai_model_platform"
+    },
+    {
+      "awoooi_role": "Claude model / coding agent / remediation watch source",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "Anthropic Claude Platform",
+      "integration_surface": "model_capability_cost_routing",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "model_providers",
+      "technology_id": "anthropic_claude_platform"
+    },
+    {
+      "awoooi_role": "Gemini model capability / cost watch source",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "Google Gemini Platform",
+      "integration_surface": "model_capability_cost_routing",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "model_providers",
+      "technology_id": "google_gemini_platform"
+    },
+    {
+      "awoooi_role": "RAG ingestion / indexing / connector watch source",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "LlamaIndex",
+      "integration_surface": "rag_indexing_connectors",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "rag_and_vector",
+      "technology_id": "llamaindex_rag"
+    },
+    {
+      "awoooi_role": "LLM app integration connector watch source",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "LangChain",
+      "integration_surface": "llm_app_runtime_connectors",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "rag_and_vector",
+      "technology_id": "langchain_runtime"
+    },
+    {
+      "awoooi_role": "現有 Postgres/pgvector 能力與版本 freshness 來源",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "pgvector",
+      "integration_surface": "postgres_vector_index",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "rag_and_vector",
+      "technology_id": "pgvector_vector_store"
+    },
+    {
+      "awoooi_role": "專用 vector DB 候選，只能 sandbox 評估",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "Qdrant",
+      "integration_surface": "dedicated_vector_database",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "rag_and_vector",
+      "technology_id": "qdrant_vector_store"
+    },
+    {
+      "awoooi_role": "本機 / sandbox vector store 候選",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "ChromaDB",
+      "integration_surface": "local_vector_database",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "rag_and_vector",
+      "technology_id": "chromadb_vector_store"
+    },
+    {
+      "awoooi_role": "RAG / LLM app evaluation metrics 候選",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "Ragas",
+      "integration_surface": "rag_eval_metrics",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "evaluation_and_observability",
+      "technology_id": "ragas_eval"
+    },
+    {
+      "awoooi_role": "LLM trace / prompt / eval observability 候選",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "Langfuse",
+      "integration_surface": "llm_observability_tracing",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "evaluation_and_observability",
+      "technology_id": "langfuse_observability"
+    },
+    {
+      "awoooi_role": "自託管模型 serving 能力與版本 freshness 來源",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "Hugging Face Text Generation Inference",
+      "integration_surface": "self_hosted_model_serving",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "model_serving",
+      "technology_id": "huggingface_tgi"
+    },
+    {
+      "awoooi_role": "自託管 LLM inference 候選，需 GPU/成本/安全 gate",
+      "changed": false,
+      "decision": "watch_only_no_change",
+      "display_name": "vLLM",
+      "integration_surface": "self_hosted_llm_inference",
+      "recommended_actions": [
+        "keep_watch_only_status"
+      ],
+      "technology_area": "model_serving",
+      "technology_id": "vllm_serving"
+    }
+  ],
+  "policy": {
+    "host_write_approved": false,
+    "model_provider_switch_approved": false,
+    "openclaw_replacement_approved": false,
+    "paid_api_calls_approved": false,
+    "production_routing_approved": false,
+    "raw_chat_history_synced": false,
+    "read_only": true,
+    "sdk_installation_approved": false,
+    "telegram_send_approved": false
+  },
+  "priority_workplan": [
+    {
+      "automation_mode": "agent_auto_read_only",
+      "done_definition": "API、snapshot、Markdown、schema、測試與 production readback 都能顯示技術領域、來源與 Gate。",
+      "order": 1,
+      "priority": "P0",
+      "work_item": "AI 技術雷達 primary source 監控產品化"
+    },
+    {
+      "automation_mode": "agent_auto_schedule_read_only",
+      "done_definition": "每 6 小時可跑 watch；失敗來源會進日報，不會自動整合。",
+      "order": 2,
+      "priority": "P0",
+      "work_item": "近即時版本 / release / docs 變更偵測"
+    },
+    {
+      "automation_mode": "agent_auto_read_model_human_review_for_write",
+      "done_definition": "每個 Agent 的角色、輸出、學習寫回與限制都能被前端讀回。",
+      "order": 3,
+      "priority": "P0",
+      "work_item": "OpenClaw / Hermes / NemoTron / MarketRadar 專業分工與成長紀錄"
+    },
+    {
+      "automation_mode": "agent_propose_owner_review",
+      "done_definition": "高優先級變更先進 scorecard，再進 no-cost/no-write sandbox 或 replay 計畫。",
+      "order": 4,
+      "priority": "P1",
+      "work_item": "AI 技術 scorecard 與 sandbox / replay 優先級"
+    },
+    {
+      "automation_mode": "blocked_until_telegram_send_gate",
+      "done_definition": "低中風險只告警回報；高風險需 owner approval 後才可發送或執行。",
+      "order": 5,
+      "priority": "P1",
+      "work_item": "Telegram Bot 報告與高風險審核橋接"
+    },
+    {
+      "automation_mode": "agent_auto_discover_human_classify",
+      "done_definition": "GitHub topic / package registry / 官方 blog 可提出候選，但加入正式 watchlist 前需審核。",
+      "order": 6,
+      "priority": "P2",
+      "work_item": "新 AI 技術探索與 watchlist 擴充"
+    }
+  ],
+  "professional_agent_roles": [
+    {
+      "agent": "OpenClaw",
+      "auto_scope": "維持現有 production baseline、讀取 replay / shadow 評分、拒絕無證據替換",
+      "professional_role": "生產決策仲裁者、風險分級與最後 policy guard",
+      "review_boundary": "任何取代、降級、生產路由切換都必須通過 replay / shadow / canary 與人工批准。"
+    },
+    {
+      "agent": "NemoTron",
+      "auto_scope": "只讀 request pack、比對候選輸出、產生 replay scorecard 草稿",
+      "professional_role": "離線回放評估者、模型能力比較、合約輸出 smoke gate",
+      "review_boundary": "不得自行呼叫外部 NIM/API、不得讀 labels 作答、不得進生產路由。"
+    },
+    {
+      "agent": "Hermes",
+      "auto_scope": "整理 primary source 摘要、建立 no-send 日週月報、準備人審包",
+      "professional_role": "知識管理、RAG 整理、報告草稿與長期技能庫維護",
+      "review_boundary": "不得同步 raw chat history、不得保存 secret、不得直接發 Telegram live report。"
+    },
+    {
+      "agent": "MarketRadar",
+      "auto_scope": "每 6 小時只讀 primary sources、產生 freshness / review queue",
+      "professional_role": "AI 技術市場雷達、版本監控、來源失敗偵測",
+      "review_boundary": "不得自動新增 SDK、不得自動修改 provider route 或 workflow 行為。"
+    },
+    {
+      "agent": "Critic / Reviewer",
+      "auto_scope": "檢查政策旗標、來源可靠性、成本與資安風險",
+      "professional_role": "獨立審核、反例檢查、整合風險評分",
+      "review_boundary": "只能輸出 blocked / candidate / owner_review，不得直接執行寫入。"
+    }
+  ],
+  "report_contract": {
+    "agent_auto_allowed_for": [
+      "官方來源只讀監控",
+      "版本與文件 hash 比對",
+      "審核佇列分類",
+      "繁中 no-send 報告草稿",
+      "離線 replay fixture 準備",
+      "低風險文件與讀回 snapshot 更新提案"
+    ],
+    "api_endpoint": "/api/v1/agents/ai-technology-radar-readback",
+    "daily": "每日彙整變更、來源失敗、審核佇列與可自動處理項目。",
+    "frontend_target": "/zh-TW/governance?tab=agent-market",
+    "human_review_required_for": [
+      "新 SDK / package / MCP server 安裝",
+      "付費 API 或 token 上限變更",
+      "模型 provider / 生產路由切換",
+      "Telegram Bot 即時發送或審批按鈕策略變更",
+      "主機、K8s、workflow、Nginx、secret 或資料層寫入",
+      "OpenClaw 生產決策核心替換、拆分或降級"
+    ],
+    "monthly": "每月進行策略 review，決定納入 roadmap、維持 watch-only 或移出監控。",
+    "near_real_time": "每 6 小時讀取 primary sources，偵測主流 AI 技術版本、文件與 release 變更。",
+    "schedule_cron_utc": "0 */6 * * *",
+    "schedule_enabled": true,
+    "schedule_workflow": ".gitea/workflows/ai-technology-watch.yaml",
+    "weekly": "每週做技術 scorecard，決定 sandbox / replay / adapter design 優先級。"
+  },
+  "rolling_update_controls": [
+    {
+      "agent_auto_action": "讀取官方文件、PyPI、npm、GitHub release、primary source hash。",
+      "cadence": "每 6 小時",
+      "cadence_source": "每 6 小時執行一次只讀 primary-source 檢查，偵測主流 AI 技術版本、文件與 release 變更。",
+      "gate": "read_only_only",
+      "output": "AI 技術 watch report、來源失敗清單、review queue。"
+    },
+    {
+      "agent_auto_action": "依 business applicability、成本、依賴、資安、AWOOOI fit 分類。",
+      "cadence": "每日",
+      "cadence_source": "每日彙整變更技術，依商業適用性、依賴風險、成本風險與資安風險分組。",
+      "gate": "no_send_report_until_delivery_gate",
+      "output": "日報摘要與中低風險自動處理建議。"
+    },
+    {
+      "agent_auto_action": "刷新 scorecard，決定 sandbox / replay / adapter design 優先級。",
+      "cadence": "每週",
+      "cadence_source": "每週刷新技術 scorecard，判斷是否值得進入 sandbox、offline replay 或 adapter design。",
+      "gate": "scorecard_required_before_replay",
+      "output": "週報、優先序、候選整合審查包。"
+    },
+    {
+      "agent_auto_action": "彙整趨勢，提出 roadmap / watch-only / retire 建議。",
+      "cadence": "每月",
+      "cadence_source": "每月策略檢討，決定技術應納入 roadmap、維持 watch-only 或從監控清單移除。",
+      "gate": "human_review_for_strategy_or_production_change",
+      "output": "月報與策略審核包。"
+    }
+  ],
+  "schema_version": "ai_technology_radar_readback_v1",
+  "source_scope": {
+    "agent_market_radar_readback": "docs/operations/ai-agent-market-radar-readback.snapshot.json",
+    "gitea_main_evidence_basis_commit": "683428bd",
+    "scope_note": "本讀回只整合已提交的只讀來源監控、AI Agent 市場雷達與治理 gate；不包含 raw chat history、secret、session 或本機工作視窗內容。",
+    "technology_source_registry": "docs/ai/ai-technology-watch-sources.v1.json",
+    "technology_watch_report": "docs/evaluations/ai_technology_watch_report_2026-06-25.json"
+  },
+  "summary": {
+    "ai_technology_radar_completion_percent": 100.0,
+    "changed_technologies": 0,
+    "high_priority_count": 14,
+    "overall_completion_percent": 42.2,
+    "review_queue_count": 0,
+    "rolling_update_status": "near_real_time_watch_ready_integration_gated",
+    "source_count": 47,
+    "source_failures": 0,
+    "technology_area_count": 6,
+    "technology_count": 20
+  },
+  "technology_area_counts": {
+    "agent_frameworks": 6,
+    "evaluation_and_observability": 2,
+    "mcp_and_a2a": 2,
+    "model_providers": 3,
+    "model_serving": 2,
+    "rag_and_vector": 5
+  },
+  "technology_domains": [
+    {
+      "changed_count": 0,
+      "high_priority_count": 5,
+      "representative_technologies": [
+        "OpenAI Agents SDK",
+        "NVIDIA Nemotron + NeMo Agent Toolkit",
+        "LangGraph",
+        "Google Agent Development Kit"
+      ],
+      "technology_area": "agent_frameworks",
+      "technology_count": 6
+    },
+    {
+      "changed_count": 0,
+      "high_priority_count": 2,
+      "representative_technologies": [
+        "Ragas",
+        "Langfuse"
+      ],
+      "technology_area": "evaluation_and_observability",
+      "technology_count": 2
+    },
+    {
+      "changed_count": 0,
+      "high_priority_count": 2,
+      "representative_technologies": [
+        "Model Context Protocol SDK",
+        "Agent2Agent Protocol"
+      ],
+      "technology_area": "mcp_and_a2a",
+      "technology_count": 2
+    },
+    {
+      "changed_count": 0,
+      "high_priority_count": 3,
+      "representative_technologies": [
+        "OpenAI Model Platform",
+        "Anthropic Claude Platform",
+        "Google Gemini Platform"
+      ],
+      "technology_area": "model_providers",
+      "technology_count": 3
+    },
+    {
+      "changed_count": 0,
+      "high_priority_count": 0,
+      "representative_technologies": [
+        "Hugging Face Text Generation Inference",
+        "vLLM"
+      ],
+      "technology_area": "model_serving",
+      "technology_count": 2
+    },
+    {
+      "changed_count": 0,
+      "high_priority_count": 2,
+      "representative_technologies": [
+        "LlamaIndex",
+        "LangChain",
+        "pgvector",
+        "Qdrant"
+      ],
+      "technology_area": "rag_and_vector",
+      "technology_count": 5
+    }
+  ]
+}