feat(governance): refresh AI agent market radar
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# AI 技術雷達與滾動更新讀回
- 產生時間:`2026-06-25T03:56:51.751955+00:00`
- 產生時間:`2026-06-26T03:43:13.171222+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`
- 監控技術項目:`21`
- 技術領域:`6`
- 官方 / primary sources`47`
- 官方 / primary sources`52`
- 來源失敗:`0`
- 需要審核變更:`0`
- 高優先級項目:`14`
- 需要審核變更:`5`
- 高優先級項目:`15`
- 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 |
| `agent_frameworks` | `6` | `5` | `1` | OpenAI Agents SDK, NVIDIA Nemotron + NeMo Agent Toolkit, LangGraph, Google Agent Development Kit |
| `evaluation_and_observability` | `3` | `3` | `1` | OpenTelemetry GenAI Semantic Conventions, Ragas, Langfuse |
| `mcp_and_a2a` | `2` | `2` | `2` | Model Context Protocol SDK, Agent2Agent Protocol |
| `model_providers` | `3` | `3` | `1` | 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 |
@@ -26,6 +26,10 @@
| 技術 | 領域 | 優先級 | Gate | 下一步 |
|---|---|---|---|---|
| Model Context Protocol SDK | `mcp_and_a2a` | `p0` | `scorecard_required_before_integration` | 刷新 scorecard若涉及 SDK/API/route/Telegram/host write 則送人工審核。 |
| Agent2Agent Protocol | `mcp_and_a2a` | `p1` | `scorecard_required_before_integration` | 刷新 scorecard若涉及 SDK/API/route/Telegram/host write 則送人工審核。 |
| Anthropic Claude Platform | `model_providers` | `p0` | `scorecard_required_before_integration` | 刷新 scorecard若涉及 SDK/API/route/Telegram/host write 則送人工審核。 |
| Langfuse | `evaluation_and_observability` | `p1` | `scorecard_required_before_integration` | 刷新 scorecard若涉及 SDK/API/route/Telegram/host write 則送人工審核。 |
## Agent 專業分工
@@ -46,6 +50,17 @@
| 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` |
## 主流實務來源證據
| 實務 | 官方來源 | AWOOOI Gate | Agent 分工 |
|---|---|---|---|
| OpenAI Agents SDK專家協作、tool execution、approvals、state 由產品掌控 | https://developers.openai.com/api/docs/guides/agents | `sandbox_orchestration_no_write` | OpenClaw 負責 policy guardMarketRadar 追版本Hermes 產審核包。 |
| NVIDIA Nemotron 3 Ultra / NeMo長任務 Agent、profiling、evaluation、MCP / A2A 互通 | https://developer.nvidia.com/blog/nvidia-nemotron-3-ultra-powers-faster-more-efficient-reasoning-for-long-running-agents/ | `nemotron_replay_evaluator_only` | NemoTron 只做離線 replay / evaluator / smoke gate不接 production routing。 |
| LangGraphdurable execution、human-in-the-loop、stateful workflow runtime | https://docs.langchain.com/oss/python/langgraph/overview | `incident_workflow_kernel_replay_first` | OpenClaw 仲裁狀態轉移Hermes 記錄 replay 證據與交接原因。 |
| MCP標準化 agent-to-tool / resource / prompt 連接,且需明確 user consent | https://modelcontextprotocol.io/specification/2025-06-18 | `read_only_tool_registry_before_write_adapter` | MarketRadar 監控 SDK / specCritic 檢查資料權限與 tool safety。 |
| A2A跨框架 Agent 溝通、委派與互通MCP 處理工具、A2A 處理 Agent 對 Agent | https://a2a-protocol.org/latest/ | `agent_to_agent_interop_watch_only` | OpenClaw 設定協作邊界Hermes 彙整 handoff 記錄NemoTron 比對輸出。 |
| OpenTelemetry GenAIAgent / LLM / MCP trace 語意慣例,支援可觀測與稽核 | https://opentelemetry.io/docs/specs/semconv/registry/attributes/gen-ai/ | `trace_semconv_mapping_before_runtime_export` | Critic 定義稽核欄位MarketRadar 追語意規範版本Hermes 產日週月報。 |
## 優先工作清單
| 順序 | 工作 | 優先級 | 自動化模式 | 完成定義 |