Ruckus ZTP
Overview
An Agentic AI system that autonomously manages RUCKUS ICX network infrastructure through Zero-Touch Provisioning (ZTP). This cutting-edge project showcases the power of AI agents with tool-calling capabilities to interact with physical network devices, make intelligent decisions, and execute complex network operations without human intervention.
The AI agent uses advanced tool orchestration to discover devices, analyze network topology, generate optimal configurations, and deploy them across the infrastructure. Starting with a single seed switch, the agent autonomously builds out entire networks while continuously monitoring and self-healing.
Key Innovation: Natural language chat interface powered by LLMs enables network engineers to interact with the infrastructure using conversational commands. The AI agent translates these into specific tool calls that configure switches, analyze problems, and provide intelligent recommendations.
Key Features
Automated Discovery
LLDP and L2 trace-based device discovery with MAC tracking for complete network mapping
Web & CLI Interfaces
Dual interface design for both GUI users and automation workflows
Real-time Monitoring
Continuous background monitoring with automated configuration drift detection
Agentic AI with Tools
Autonomous AI agent with tool-calling capabilities to configure switches, analyze logs, and execute network commands
Topology Visualization
Dynamic network topology mapping with real-time status updates
Credential Management
Secure, automatic credential handling across the network infrastructure
Technical Architecture
The ZTP agent employs a sophisticated multi-threaded architecture designed for scalability and reliability:
- Discovery Engine: Multi-protocol device discovery using LLDP, CDP, and MAC address tables
- Configuration Engine: Template-based configuration with variable substitution and validation
- Monitoring Daemon: Continuous background monitoring with configurable intervals
- State Machine: Device lifecycle management with rollback capabilities
- REST API: Full-featured API for integration with existing tools
- Event System: Real-time event streaming for monitoring and alerting
The system maintains a comprehensive device database tracking configuration state, connectivity, and operational metrics, enabling intelligent decision-making for configuration updates and troubleshooting scenarios.
Agentic AI Innovation
This project exemplifies the future of network management through Agentic AI - autonomous systems that combine LLMs with tool-calling to interact with physical infrastructure. The AI agent makes decisions, executes actions, and learns from network behavior to continuously improve operations.
Technology Stack
Enterprise Value
Ruckus ZTP demonstrates cutting-edge expertise in:
- Agentic AI Systems: Building autonomous agents that interact with physical infrastructure
- Tool Orchestration: AI agents that intelligently select and execute tools based on context
- Natural Language Operations: Conversational interfaces for complex technical systems
- Autonomous Decision Making: AI that analyzes, decides, and acts without human intervention
- Self-Healing Networks: Intelligent agents that detect and resolve issues proactively
- Responsible AI Design: Built-in guardrails, approval workflows, and audit logging for safe autonomous operations
- Future-Ready Architecture: Positioned at the forefront of AI-driven infrastructure management