feat(aia): Complete AIA V2.0 with universal streaming capabilities
Major Changes: - Add StreamingService with OpenAI Compatible format - Upgrade Chat component V2 with Ant Design X integration - Implement AIA module with 12 intelligent agents - Update API routes to unified /api/v1 prefix - Update system documentation Backend (~1300 lines): - common/streaming: OpenAI Compatible adapter - modules/aia: 12 agents, conversation service, streaming integration - Update route versions (RVW, PKB to v1) Frontend (~3500 lines): - modules/aia: AgentHub + ChatWorkspace (100% prototype restoration) - shared/Chat: AIStreamChat, ThinkingBlock, useAIStream Hook - Update API endpoints to v1 Documentation: - AIA module status guide - Universal capabilities catalog - System overview updates - All module documentation sync Tested: Stream response verified, authentication working Status: AIA V2.0 core completed (85%)
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# 通用能力层
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# 閫氱敤鑳藉姏灞?
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> **层级定义：** 跨业务模块共享的核心技术能力
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> **核心原则：** 可复用、高内聚、独立部署
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> **灞傜骇瀹氫箟锛?* 璺ㄤ笟鍔℃ā鍧楀叡浜<E58FA1>殑鏍稿績鎶€鏈<E282AC>兘鍔?
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> **鏍稿績鍘熷垯锛?* 鍙<><E98D99>鐢ㄣ€侀珮鍐呰仛銆佺嫭绔嬮儴缃?
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---
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## 馃搵 鑳藉姏娓呭崟
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| 能力 | 说明 | 复用率 | 优先级 | 状态 |
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| 鑳藉姏 | 璇存槑 | 澶嶇敤鐜?| 浼樺厛绾?| 鐘舵€?|
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|------|------|-------|--------|------|
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| **01-LLM大模型网关** | 统一管理LLM调用、成本控制、模型切换 | 71% (5/7) | P0 | ⏳ 待实现 |
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| **02-文档处理引擎** | PDF/Docx/Txt提取、OCR、表格提取 | 86% (6/7) | P0 | ✅ 已实现 |
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| **03-RAG引擎** | 向量检索、语义搜索、RAG问答 | 43% (3/7) | P1 | ✅ 已实现 |
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| **04-数据ETL引擎** | Excel JOIN、数据清洗、数据转换 | 29% (2/7) | P2 | ⏳ 待实现 |
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| **05-医学NLP引擎** | 医学实体识别、术语标准化 | 14% (1/7) | P2 | ⏳ 待实现 |
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| **01-LLM澶фā鍨嬬綉鍏?* | 缁熶竴绠＄悊LLM璋冪敤銆佹垚鏈<E59E9A>帶鍒躲€佹ā鍨嬪垏鎹?| 71% (5/7) | P0 | 鈴?寰呭疄鐜?|
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| **02-鏂囨。澶勭悊寮曟搸** | PDF/Docx/Txt鎻愬彇銆丱CR銆佽〃鏍兼彁鍙?| 86% (6/7) | P0 | 鉁?宸插疄鐜?|
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| **03-RAG寮曟搸** | 鍚戦噺妫€绱€€佽<EFBFBD>涔夋悳绱€€丷AG闂<EFBFBD>瓟 | 43% (3/7) | P1 | 鉁?宸插疄鐜?|
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| **04-鏁版嵁ETL寮曟搸** | Excel JOIN銆佹暟鎹<EFBFBD>竻娲椼€佹暟鎹<EFBFBD>浆鎹?| 29% (2/7) | P2 | 鈴?寰呭疄鐜?|
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| **05-鍖诲<EFBFBD>NLP寮曟搸** | 鍖诲<E98D96>瀹炰綋璇嗗埆銆佹湳璇<E6B9B3>爣鍑嗗寲 | 14% (1/7) | P2 | 鈴?寰呭疄鐜?|
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---
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## 馃幆 璁捐<E79281>鍘熷垯
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### 1. 可复用性
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### 1. 鍙<EFBFBD><EFBFBD>鐢ㄦ€?
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- 澶氫釜涓氬姟妯″潡鍏变韩
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- 避免重复开发
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- 閬垮厤閲嶅<EFBFBD>寮€鍙?
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### 2. 鐙<>珛閮ㄧ讲
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- 鍙<>互鐙<E4BA92>珛涓哄井鏈嶅姟
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- 鏀<>寔鐙<E5AF94>珛鎵╁睍
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### 3. 高内聚
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### 3. 楂樺唴鑱?
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- 姣忎釜鑳藉姏鑱岃矗鍗曚竴
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- 鎺ュ彛娓呮櫚
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### 4. 棰嗗煙鐭ヨ瘑
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- 鍖呭惈涓氬姟棰嗗煙鐭ヨ瘑
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- 不是纯技术组件
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- 涓嶆槸绾<EFBFBD>妧鏈<EFBFBD>粍浠?
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---
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## 📊 复用率分析
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## 馃搳 澶嶇敤鐜囧垎鏋?
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**LLM网关** - 71%复用率（最高优先级）
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- AIA（AI智能问答）
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- ASL（AI智能文献）
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- PKB（个人知识库）
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**LLM缃戝叧** - 71%澶嶇敤鐜囷紙鏈€楂樹紭鍏堢骇锛?
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- AIA锛圓I鏅鸿兘闂<EFBFBD>瓟锛?
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- ASL锛圓I鏅鸿兘鏂囩尞锛?
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- PKB锛堜釜浜虹煡璇嗗簱锛?
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- DC锛堟暟鎹<E69A9F>竻娲楋級
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- RVW锛堢ǹ浠跺<E6B5A0>鏌ワ級
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@@ -54,15 +54,15 @@
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---
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## 📚 快速导航
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## 馃摎 蹇<>€熷<E282AC>鑸?
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### 蹇<>€熶笂涓嬫枃
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- **[AI对接] 通用能力快速上下文.md** - 2-3分钟了解通用能力层
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- **[AI瀵规帴] 閫氱敤鑳藉姏蹇<E5A78F>€熶笂涓嬫枃.md** - 2-3鍒嗛挓浜嗚В閫氱敤鑳藉姏灞?
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### 鏍稿績鑳藉姏
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1. [LLM大模型网关](./01-LLM大模型网关/README.md) - P0优先级 ⭐
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2. [文档处理引擎](./02-文档处理引擎/README.md) - 已实现
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3. [RAG引擎](./03-RAG引擎/README.md) - 已实现
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1. [LLM澶фā鍨嬬綉鍏砞(./01-LLM澶фā鍨嬬綉鍏?README.md) - P0浼樺厛绾?猸?
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2. [鏂囨。澶勭悊寮曟搸](./02-鏂囨。澶勭悊寮曟搸/README.md) - 宸插疄鐜?
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3. [RAG寮曟搸](./03-RAG寮曟搸/README.md) - 宸插疄鐜?
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4. [鏁版嵁ETL寮曟搸](./04-鏁版嵁ETL寮曟搸/README.md)
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5. [鍖诲<EFBFBD>NLP寮曟搸](./05-鍖诲<E98D96>NLP寮曟搸/README.md)
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@@ -71,7 +71,7 @@
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## 馃敆 鐩稿叧鏂囨。
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- [绯荤粺鏋舵瀯鍒嗗眰璁捐<EFBFBD>](../00-绯荤粺鎬讳綋璁捐<E79281>/01-绯荤粺鏋舵瀯鍒嗗眰璁捐<E79281>.md)
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- [平台基础层](../01-平台基础层/README.md)
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- [骞冲彴鍩虹<EFBFBD>灞俔(../01-骞冲彴鍩虹<E98DA9>灞?README.md)
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- [涓氬姟妯″潡灞俔(../03-涓氬姟妯″潡/README.md)
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---
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