# J4F Assistant: Comprehensive Project Documentation ## High-Level Overview J4F Assistant is a **production-ready, enterprise-grade AI assistant framework** featuring: - 🚀 **NATS-Powered Pipeline Processing** - Scalable, real-time data transformation workflows - 🔐 **Enterprise Authentication** - OIDC/Keycloak with comprehensive RBAC system - 🧠 **LangChain-Powered Streaming** - Advanced AI capabilities with conversation memory - 🏗️ **Fully Modular Architecture** - Complete separation of concerns, highly extensible - ⚡ **Multi-Interface Support** - Web UI, CLI, and comprehensive API endpoints - 🛡️ **Production Security** - Command execution, risk analysis, audit logging - 🐳 **Complete Deployment Infrastructure** - Docker, Kubernetes, Helm charts --- ## 📚 Comprehensive Documentation Index ### 🏗️ **Core Architecture & Systems** - [**Architecture & Project Structure**](structure/Architecture.md) - Complete modular architecture overview - [**Pipeline System Overview**](pipeline/Overview.md) ⭐ **MAJOR FEATURE** - NATS-based data processing workflows - [**Backend Overview & Developer Notes**](backend/Overview.md) - LangChain streaming, core components - [**Frontend Overview**](frontend/Overview.md) - Modern UI architecture and components ### 🔐 **Security & Authentication** - [**Authentication & Authorization System**](auth/Overview.md) ⭐ **COMPREHENSIVE** - OIDC/Keycloak + RBAC - [**Security & Command Execution**](security/CommandExecution.md) - Secure operations and audit logging ### 🚀 **Deployment & Operations** - [**Deployment Infrastructure**](deployment/Overview.md) ⭐ **PRODUCTION-READY** - Docker, K8s, Helm - [**API Reference**](api/Reference.md) - Complete API documentation ### 📖 **Getting Started** - [**Home (this page)**](home.md) - Project overview and navigation --- ## 🎯 Quick Navigation by Role ### **Developers** 1. [Architecture Overview](structure/Architecture.md) - Understand the modular design 2. [Pipeline System](pipeline/Overview.md) ⭐ **FLAGSHIP FEATURE** - Learn the NATS-based data processing workflows 3. [Pipeline Step Development Guide](pipeline/Step-Development-Guide.md) ⭐ **NEW** - Create custom processing modules with templates and patterns 4. [Backend Overview](backend/Overview.md) - Core components and streaming 5. [API Reference](api/Reference.md) - Available endpoints and usage ### **DevOps/Infrastructure** 1. [Deployment Infrastructure](deployment/Overview.md) - Complete deployment guide 2. [Authentication Setup](auth/Overview.md) - OIDC/Keycloak configuration 3. [Security Framework](security/CommandExecution.md) - Security implementation 4. [Architecture Overview](structure/Architecture.md) - System design understanding ### **Users/Administrators** 1. [Authentication System](auth/Overview.md) - User roles and permissions 2. [Frontend Overview](frontend/Overview.md) - UI features and capabilities 3. [API Reference](api/Reference.md) - Available features and endpoints 4. [Security Overview](security/CommandExecution.md) - Security features and controls --- ## 🚀 Major Features & Capabilities ### **Advanced Pipeline Processing** ⭐ **FLAGSHIP FEATURE** - **Visual Pipeline Editor**: Production-ready drag-and-drop interface for pipeline creation ✅ **LIVE NOW** - **Real-time Streaming**: NATS-based message processing with live data transformation and zero buffering delays - **Modular Steps**: Composable processing steps (markdown normalization, content filtering, syntax highlighting, etc.) - **Scalable Architecture**: Distributed processing with backpressure handling and conversation isolation - **Configuration-Driven**: Visual and database-stored pipeline definitions with runtime composition and version control - **Developer-Friendly**: Comprehensive step development guide with templates, patterns, and best practices ### **Enterprise-Grade Authentication** - **Multi-Provider OIDC**: Keycloak, Auth0, and custom provider support - **Comprehensive RBAC**: Five-tier role system (User → Admin → Dev → Lead → TheDude) - **Granular Permissions**: Fine-grained API and feature access control - **Session Management**: Secure, persistent sessions with automatic token refresh ### **Production-Ready Architecture** - **Complete Modularity**: Every component is focused, reusable, and independently testable - **LangChain Integration**: Advanced AI capabilities with conversation memory and tool integration - **Security Framework**: Risk analysis, audit logging, secure command execution - **Multi-Interface**: Web UI, CLI, and comprehensive REST/WebSocket APIs ### **Deployment Infrastructure** - **Container-First**: Docker Compose for development, Kubernetes for production - **Helm Charts**: Production-ready Kubernetes deployment with auto-scaling - **Environment Management**: Dev, staging, production configurations - **Monitoring & Health Checks**: Built-in observability and performance monitoring --- ## 🔧 System Requirements & Dependencies ### **Core Dependencies** - **Node.js 18+** - Application runtime - **MongoDB 7+** - Primary database for conversations, pipelines, user data - **NATS Server** - Message queue for pipeline processing - **Ollama/Anthropic/OpenAI** - AI model providers ### **Optional Components** - **Keycloak** - Enterprise authentication (can run without auth) - **Redis** - Session storage and caching (optional) - **Prometheus/Grafana** - Monitoring and metrics (recommended for production) --- ## 🚦 Quick Start Paths ### **Development Setup** ```bash git clone cd j4f-assistant cp .env.example .env docker-compose up -d ``` ### **Production Deployment** ```bash helm install j4f-assistant ./helm/j4f-assistant \ --namespace production --create-namespace \ --values values-prod.yaml ``` ### **Pipeline Development** ⭐ **NEW** ```bash # Create new pipeline step vim src/pipeline/steps/myStep.js # Use the step template from the development guide export async function* myStep(input, config = {}) { for await (const chunk of input) { yield processChunk(chunk); } } # Register step vim src/pipeline/stepRegistry.js # Test pipeline curl -X POST /api/unified/stream -d '{"message":"test"}' ``` --- ## 📖 Additional Resources - **Repository**: Main codebase with implementation details - **Wiki**: This comprehensive documentation system - **Issue Tracker**: Feature requests and bug reports - **Contributing Guide**: Development guidelines and contribution process --- *This documentation reflects the current state of the J4F Assistant as a sophisticated, production-ready AI assistant framework with enterprise-grade features and comprehensive deployment infrastructure.*