AI Clinical Dev Team
84bf1c86ab
feat: Day 14-17 - Frontend Chat Interface completed
...
Frontend:
- Create MessageList component with streaming animation
- Create MessageInput component with @knowledge base support
- Create ModelSelector component (DeepSeek/Qwen/Gemini)
- Implement conversationApi with SSE streaming
- Update AgentChatPage integrate all components
- Add Markdown rendering (react-markdown + remark-gfm)
- Add code highlighting (react-syntax-highlighter)
- Add vite-env.d.ts for environment variables
Features:
- Real-time streaming output with cursor animation
- Markdown and code block rendering
- Model switching (DeepSeek-V3, Qwen3-72B, Gemini Pro)
- @Knowledge base selector (UI ready)
- Auto-scroll to bottom
- Shift+Enter for new line, Enter to send
- Beautiful message bubble design
Build: Frontend build successfully (7.94s, 1.9MB)
New Files:
- components/chat/MessageList.tsx (170 lines)
- components/chat/MessageList.css (150 lines)
- components/chat/MessageInput.tsx (145 lines)
- components/chat/MessageInput.css (60 lines)
- components/chat/ModelSelector.tsx (110 lines)
- components/chat/ModelSelector.css (35 lines)
- api/conversationApi.ts (170 lines)
- src/vite-env.d.ts (9 lines)
Total: ~850 lines of new code
2025-10-10 20:52:30 +08:00
AI Clinical Dev Team
8afff23995
docs: Day 12-13 completion summary and milestone update
2025-10-10 20:33:18 +08:00
AI Clinical Dev Team
864a0b1906
feat: Day 10-11 - Agent Configuration System completed
...
Backend:
- Create agents.yaml config file with 12 agents definition
- Create Prompt templates for topic-evaluation agent
- Implement agentService.ts for loading and managing agent configs
- Create agentController.ts with CRUD operations
- Create agent routes (GET /agents, /agents/:id, etc.)
- Register agent routes in main server
Frontend:
- Create agentApi.ts service module
- Update AgentChatPage to dynamically load agent config from API
- Add loading state and error handling
- Display agent details (description, category, model)
Build: Both frontend and backend build successfully
2025-10-10 20:13:08 +08:00
AI Clinical Dev Team
b72167f73e
feat: Day 8-9 - Project Management API completed
...
Backend:
- Create project routes (GET, POST, PUT, DELETE)
- Implement projectController with CRUD operations
- Create projectService for database operations
- Add validation middleware for request validation
- Update Prisma schema (add background, researchType, deletedAt fields)
- Implement soft delete for projects
Frontend:
- Create projectApi service module
- Update useProjectStore with fetchProjects and loading state
- Connect ProjectSelector to real API with loading indicator
- Connect CreateProjectDialog to real API with error handling
- Connect EditProjectDialog to real API with loading state
- Add comprehensive error handling and user feedback
Build: Both frontend and backend build successfully
2025-10-10 19:38:49 +08:00
AI Clinical Dev Team
fef8feb9db
feat(frontend): Day 7 - frontend complete layout finished
2025-10-10 17:52:47 +08:00
AI Clinical Dev Team
6f451757f2
docs: optimize README navigation links
2025-10-10 17:44:15 +08:00
AI Clinical Dev Team
6fd15a14e0
docs(frontend): improve README documentation with detailed description of 12 agents
2025-10-10 17:37:55 +08:00
AI Clinical Dev Team
0805042e11
fix(frontend): update names of 12 agents
...
Update agent names according to PRD document:
1. Topic Evaluation Agent
2. Scientific Question Organizing Agent
3. PICOS Construction Agent
4. Observation Indicator Design Agent
5. CRF Development Agent
6. Sample Size Calculation Agent
7. Clinical Research Protocol Writing Agent
8. Paper Polishing Agent
9. Paper Translation Agent
10. Methodology Review Agent
11. Journal Methodology Review Agent
12. Journal Manuscript Review Agent
Updated files:
- MainLayout.tsx
- HomePage.tsx
- AgentPage.tsx
- frontend/README.md
2025-10-10 17:31:21 +08:00
AI Clinical Dev Team
f7a500bc79
feat(frontend): Day 6 - frontend basic architecture completed
2025-10-10 17:22:37 +08:00
AI Clinical Dev Team
fa5b8b48ec
feat(day4): complete environment setup - Docker services started successfully
2025-10-10 15:16:50 +08:00
