Ruckus ZTP

[Type]: Network Automation
[Language]: Python
[Focus]: Zero-Touch Provisioning

> 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:

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

Python (81.4%)
JavaScript (11.4%)
HTML/CSS
SNMP/SSH
REST API
WebSockets
Agentic AI
Tool Calling
LLM Integration

> Enterprise Value

Ruckus ZTP demonstrates cutting-edge expertise in:

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