HaHafeng
96290d2f76
Sprint 1-3 Completed (Backend + Frontend): Backend (Sprint 1-2): - Implement 5-layer Agent framework (Query->Planner->Executor->Tools->Reflection) - Create agent_schema with 6 tables (agent_definitions, stages, prompts, sessions, traces, reflexion_rules) - Create protocol_schema with 2 tables (protocol_contexts, protocol_generations) - Implement Protocol Agent core services (Orchestrator, ContextService, PromptBuilder) - Integrate LLM service adapter (DeepSeek/Qwen/GPT-5/Claude) - 6 API endpoints with full authentication - 10/10 API tests passed Frontend (Sprint 3): - Add Protocol Agent entry in AgentHub (indigo theme card) - Implement ProtocolAgentPage with 3-column layout - Collapsible sidebar (Gemini style, 48px <-> 280px) - StatePanel with 5 stage cards (scientific_question, pico, study_design, sample_size, endpoints) - ChatArea with sync button and action cards integration - 100% prototype design restoration (608 lines CSS) - Detailed endpoints structure: baseline, exposure, outcomes, confounders Features: - 5-stage dialogue flow for research protocol design - Conversation-driven interaction with sync-to-protocol button - Real-time context state management - One-click protocol generation button (UI ready, backend pending) Database: - agent_schema: 6 tables for reusable Agent framework - protocol_schema: 2 tables for Protocol Agent - Seed data: 1 agent + 5 stages + 9 prompts + 4 reflexion rules Code Stats: - Backend: 13 files, 4338 lines - Frontend: 14 files, 2071 lines - Total: 27 files, 6409 lines Status: MVP core functionality completed, pending frontend-backend integration testing Next: Sprint 4 - One-click protocol generation + Word export
PKB - 个人知识库
模块代号： PKB (Personal Knowledge Base)
开发状态： ✅ 已完成
商业价值： ⭐⭐⭐
独立性： ⭐⭐⭐
📋 模块概述
个人知识库允许用户创建私人文献库，并基于库内文献进行AI问答（RAG）。
🎯 核心功能
已完成功能
- ✅ 知识库CRUD - 创建、查看、编辑、删除
- ✅ 文档上传 - PDF、Word、TXT、Markdown
- ✅ RAG问答 - 基于知识库内容问答
- ✅ @知识库引用 - 智能引用系统（100%准确溯源）
- ✅ 配额管理 - 每用户3个知识库，每库50个文档
📂 文档结构
PKB-个人知识库/
├── [AI对接] PKB快速上下文.md # ⏳ 待创建
├── 00-项目概述/
├── 01-设计文档/
└── README.md # ✅ 当前文档
🔗 依赖的通用能力
- LLM网关 - RAG问答
- 文档处理引擎 - 文档文本提取
- RAG引擎 - 向量检索
最后更新： 2025-11-06
维护人： 技术架构师