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CLAUDE.md

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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
+
+jim-dify is a customized fork of Dify - an open-source LLM application development platform. It enables users to build and deploy AI-powered applications with visual workflows, knowledge bases, and various AI capabilities.
+
+## Key Commands
+
+### Frontend Development (web/)
+
+```bash
+cd web
+pnpm dev              # Start development server with debugging
+pnpm build            # Production build
+pnpm lint             # Run ESLint
+pnpm fix              # Auto-fix linting issues
+pnpm test             # Run Jest tests
+pnpm check-i18n       # Validate internationalization files
+```
+
+### Backend Development (api/)
+
+```bash
+cd api
+uv sync --dev         # Install dependencies (requires uv package manager)
+uv run flask run --host 0.0.0.0 --port=5001 --debug  # Start API server
+uv run pytest         # Run all tests
+uv run ruff check .   # Lint Python code
+uv run ruff format .  # Format Python code
+uv run mypy .         # Type check Python code
+```
+
+### Docker Development
+
+```bash
+# Build and push all images
+make build-all        # Build all Docker images
+make push-all         # Push all images to registry
+make build-push-all   # Build and push in one command
+
+# Start middleware services (PostgreSQL, Redis, etc.)
+cd docker
+docker compose -f docker-compose.middleware.yaml --profile weaviate -p dify up -d
+```
+
+## Architecture Overview
+
+### Frontend (Next.js + React + TypeScript)
+- **App Router**: Uses Next.js 15 app directory structure
+- **State Management**: Zustand for global state, React Context for component trees
+- **Data Fetching**: SWR and TanStack Query for server state
+- **Styling**: Tailwind CSS with custom design system
+- **Key Directories**:
+  - `web/app/` - Next.js pages and layouts
+  - `web/components/` - Reusable React components
+  - `web/service/` - API client layer
+  - `web/i18n/` - Internationalization files
+
+### Backend (Flask + Python)
+- **API Framework**: Flask with RESTful endpoints
+- **Database**: PostgreSQL with SQLAlchemy ORM
+- **Task Queue**: Celery with Redis for async operations
+- **Key Directories**:
+  - `api/controllers/` - HTTP endpoint handlers
+  - `api/core/` - Core business logic and AI integrations
+  - `api/models/` - Database models
+  - `api/services/` - Business service layer
+  - `api/tasks/` - Async task definitions
+
+### AI/LLM Integration
+- Supports multiple LLM providers (OpenAI, Anthropic, etc.)
+- Vector database integration for RAG (Retrieval Augmented Generation)
+- Workflow builder for complex AI pipelines
+- Agent capabilities with tool use
+
+## Development Workflow
+
+1. **Initial Setup**: 
+   - Backend requires PostgreSQL, Redis, and optionally a vector database
+   - Frontend uses pnpm for package management
+   - Both have separate .env configuration files
+
+2. **Code Quality**:
+   - Frontend: ESLint + TypeScript strict mode
+   - Backend: Ruff for linting, MyPy for type checking
+   - Both have comprehensive test suites
+
+3. **Deployment**:
+   - Primary deployment via Docker Compose
+   - Images pushed to `akiyu303/jim-*` registry
+   - Supports multiple deployment environments
+
+## Important Notes
+
+- ESLint and TypeScript errors are currently ignored in production builds for the frontend
+- The project uses standalone Next.js output mode for optimized Docker images
+- Multi-language support is extensive - always check i18n when adding new UI strings
+- Backend workers handle different task types: dataset processing, generation, mail, operations tracing
+- Environment variables control feature flags and integrations