fix: LLM 回复禁用 markdown 格式，适配飞书纯文本消息

- system prompt 明确要求纯文本回复
- 禁止 **加粗**、# 标题、- 列表等 markdown 语法
- 步骤列举改用中文序号（第一步/1）等）

CLAUDE.md

@@ -1,88 +0,0 @@
-# CLAUDE.md
-
-This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
-
-## High-Level Architecture
-
-This project is a Python Flask-based web application called "TSP Assistant". It's an intelligent customer service system designed for Telematics Service Providers (TSP).
-
-The backend is built with Flask and utilizes a modular structure with Blueprints. The core application logic resides in the `src/` directory.
-
-Key components of the architecture include:
-
-*   **Web Framework**: The web interface and APIs are built using **Flask**. The main Flask app is likely configured in `src/web/app.py`.
-*   **Modular Routing**: The application uses Flask **Blueprints** for organizing routes. These are located in `src/web/blueprints/`. Each file in this directory corresponds to a feature area (e.g., `agent.py`, `workorders.py`, `analytics.py`).
-*   **Intelligent Agent**: A core feature is the AI agent. Its logic is contained within the `src/agent/` directory, which includes components for planning (`planner.py`), tool management (`tool_manager.py`), and execution (`executor.py`).
-*   **Database**: The application uses a relational database (likely MySQL) with **SQLAlchemy** as the ORM. Models are defined in `src/core/models.py`.
-*   **Configuration**: A unified configuration center (`src/config/unified_config.py`) manages all settings via environment variables and `.env` files.
-*   **Real-time Communication**: **WebSockets** are used for real-time features like the intelligent chat. The server logic is in `src/web/websocket_server.py`.
-*   **Data Analytics**: The system has a dedicated data analysis module located in `src/analytics/`.
-*   **Frontend**: The frontend is built with Bootstrap 5, Chart.js, and vanilla JavaScript (ES6+). Frontend assets are in `src/web/static/` and templates are in `src/web/templates/`.
-
-## Common Commands
-
-### Environment Setup
-
-The project can be run using Docker (recommended) or locally.
-
-**1. Install Dependencies:**
-```bash
-pip install -r requirements.txt
-```
-
-**2. Initialize the Database:**
-This script sets up the necessary database tables.
-```bash
-python init_database.py
-```
-
-### Running the Application
-
-**Local Development:**
-To start the Flask development server:
-```bash
-python start_dashboard.py
-```
-The application will be available at `http://localhost:5000`.
-
-**Docker Deployment:**
-The project includes a `docker-compose.yml` for easy setup of all services (application, database, cache, monitoring).
-
-To start all services:
-```bash
-docker-compose up -d
-```
-Or use the provided script:
-```bash
-chmod +x scripts/docker_deploy.sh
-./scripts/docker_deploy.sh start
-```
-
-To stop services:
-```bash
-./scripts/docker_deploy.sh stop
-```
-
-### Running Tests
-
-The project uses `pytest` for testing.
-```bash
-pytest
-```
-To run tests with coverage:
-```bash
-pytest --cov
-```
-
-## Key File Locations
-
-*   **Main Application Entry Point**: `start_dashboard.py` (local) or `src/web/app.py` (via WSGI in production).
-*   **Flask Blueprints (Routes)**: `src/web/blueprints/`
-*   **Agent Core Logic**: `src/agent/`
-*   **Database Models**: `src/core/models.py`
-*   **Frontend Static Assets**: `src/web/static/` (JS, CSS, images)
-*   **Frontend HTML Templates**: `src/web/templates/`
-*   **WebSocket Server**: `src/web/websocket_server.py`
-*   **Configuration Files**: `config/`
-*   **Deployment Scripts**: `scripts/`
-*   **Database Initialization**: `init_database.py`

src/dialogue/realtime_chat.py

@@ -368,8 +368,10 @@ class RealtimeChatManager:
 4. 如果问题需要进站处理，请明确说明
 5. 回复要简洁明了，避免冗长
 6. 如果涉及技术问题，要提供具体的操作步骤
+7. 使用纯文本格式回复，不要使用 markdown 语法（不要用 **加粗**、# 标题、- 列表等）
+8. 如需列举步骤，直接用"第一步""第二步"或"1）""2）"等中文序号，不要用 markdown 编号格式
 
-请直接给出回复内容，不要包含其他格式：
+请直接给出回复内容：
 """
         
         return prompt