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+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project Overview
+
+This is **Langflow** - a low-code app builder for RAG and multi-agent AI applications. It's a Python-based visual IDE that allows users to build, test, and deploy AI workflows through a drag-and-drop interface. The project combines a FastAPI backend with a React frontend.
+
+## Architecture
+
+### Backend Structure
+- **Main Backend**: `src/backend/langflow/` - Entry point and versioning
+- **Core Backend**: `src/backend/base/langflow/` - Main application logic with these key modules:
+  - `api/` - REST API endpoints and WebSocket handlers
+  - `graph/` - Flow graph processing and execution engine
+  - `components/` - Custom component definitions and implementations
+  - `services/` - Business logic services (database, auth, etc.)
+  - `processing/` - Data processing utilities
+  - `schema/` - Pydantic models and data structures
+  - `serialization/` - Flow import/export functionality
+
+### Frontend Structure
+- **Main Frontend**: `src/frontend/` - React application with:
+  - Modern React 18 with TypeScript
+  - Vite build system
+  - Tailwind CSS for styling
+  - React Flow for workflow visualization
+  - Chakra UI and Radix UI components
+
+### Key Technologies
+- **Backend**: FastAPI, SQLAlchemy, Pydantic, Celery (for async tasks)
+- **Frontend**: React 18, TypeScript, Vite, React Flow, Zustand (state management)
+- **Package Management**: UV (Python), NPM (Node.js)
+
+## Development Commands
+
+### Backend Development
+```bash
+# Install backend dependencies
+make install_backend
+
+# Run backend in development mode
+make backend
+
+# Run backend with specific settings
+make backend log_level=debug host=0.0.0.0 port=7860
+
+# Run backend tests
+make unit_tests
+make integration_tests
+make tests
+
+# Lint and format backend
+make format_backend
+make lint
+```
+
+### Frontend Development
+```bash
+# Install frontend dependencies
+make install_frontend
+
+# Run frontend in development mode
+make frontend
+
+# Build frontend for production
+make build_frontend
+
+# Run frontend tests
+make tests_frontend
+
+# Lint and format frontend
+make format_frontend
+```
+
+### Full Development Workflow
+```bash
+# Initialize the entire development environment
+make init
+
+# Run both frontend and backend
+make run_frontend
+make run_backend
+
+# Build and run the complete application
+make build_and_run
+
+# Format all code
+make format
+```
+
+### Testing and Quality
+```bash
+# Run all tests with coverage
+make coverage
+
+# Run linters
+make lint
+
+# Format code
+make format
+
+# Check spelling
+make codespell
+```
+
+## Environment Setup
+
+1. **Python**: Requires Python 3.10-3.12
+2. **Node.js**: Required for frontend development
+3. **Virtual Environment**: Activated via `.venv/bin/activate`
+4. **Environment Variables**: Copy from `.env.example` to `.env`
+
+## Database and Storage
+
+- **Database**: SQLAlchemy with PostgreSQL/SQLite support
+- **Migrations**: Alembic for database migrations
+- **Cache**: Redis for caching and session storage
+
+## Key Features
+
+- **Visual IDE**: Drag-and-drop workflow builder using React Flow
+- **Multi-agent Support**: Orchestrates multiple AI agents and conversations
+- **RAG Pipelines**: Complete RAG implementation with various vector stores
+- **API Publish**: Export flows as APIs
+- **Observability**: Integration with LangSmith, LangFuse, LangWatch
+- **Component System**: Extensible component architecture for custom integrations
+
+## Testing Structure
+
+- **Unit Tests**: `src/backend/tests/unit/`
+- **Integration Tests**: `src/backend/tests/integration/`
+- **Frontend Tests**: `src/frontend/__tests__/`
+- **Test Framework**: pytest with async support
+- **Coverage**: Generated coverage reports with `make coverage`
+
+## Custom Components
+
+The project supports custom components through:
+- `src/backend/base/langflow/custom/` - Custom component definitions
+- Component registry system for dynamic loading
+- Support for Python-based and API-based components
+
+## Deployment
+
+- **Docker**: Multi-stage Docker builds for production
+- **Cloud**: DataStax Langflow cloud service integration
+- **Self-hosted**: Complete Docker Compose setup available
+
+## 数据库
+
+- 当使用sqlite时，数据库路径为src/backend/base/langflow/langflow.db
+- 数据库路径为src/backend/base/langflow/langflow.db
+- 使用中文回答