preparations for demo html page

services/rag/langchain/QWEN.md

@@ -28,6 +28,7 @@ rag-solution/services/rag/langchain/
 ├── PLANNING.md        # Development roadmap and phases
 ├── QWEN.md            # Current file - project context
 ├── requirements.txt   # Python dependencies
+├── server.py          # Web server with API endpoints for the RAG agent
 ├── vector_storage.py  # Vector storage module with Qdrant and Ollama embeddings
 └── venv/              # Virtual environment
 ```
@@ -85,7 +86,11 @@ The project is organized into 8 development phases as outlined in `PLANNING.md`:
 - [x] Allow switching between "ollama" and "openai" strategies
 
 ### Phase 8: HTTP Endpoint
-- [ ] Create web framework with POST endpoint `/api/test-query` for agent queries
+- [x] Create web framework with POST endpoint `/api/test-query` for agent queries
+- [x] Implement server using FastAPI and LangServe
+- [x] Add request/response validation with Pydantic models
+- [x] Include CORS middleware for cross-origin requests
+- [x] Add health check endpoint
 
 ## Environment Configuration
 
@@ -195,6 +200,15 @@ The project is in early development phase. The virtual environment is set up and
 - When strategy is "ollama" (default), uses existing `ChatOllama` implementation
 - Updated CLI chat command to show which model strategy is being used
 
+### Phase 8 Implementation Notes
+- Created `server.py` with FastAPI and integrated with existing agent functionality
+- Implemented `/api/test-query` POST endpoint that accepts JSON with "query" field
+- Added request/response validation using Pydantic models
+- Included CORS middleware to support cross-origin requests
+- Added health check endpoint at root path
+- Server runs on port 8000 by default
+- Supports both Ollama and OpenAI strategies through existing configuration
+
 ### Issue Fix Notes
 - Fixed DocumentRetrievalTool class to properly declare and initialize the retriever field
 - Resolved Pydantic field declaration issue that caused "object has no field" error