YueGuobin 364ff93783 efactor(copilot): adopt Nornir best
practice for multi-vendor device support

   Refactor Nornir configuration to use host-level connection_options
   instead of dynamic groups, following Nornir's configuration priority
   model (host > group > defaults).

   **Problem:**
   Previous implementation used first device's configuration for all
   devices, causing Cisco devices to use Huawei driver and vice versa.

   **Solution:**
   - Each host now has device-specific connection_options at host level
   - Single generic "network_devices" group for shared settings
   - Host-level config automatically overrides group-level config

   **Changes:**
   - Remove: _get_nornir_groups_config() helper function
   - Remove: _get_nornir_group() helper function
   - Simplify: _initialize_nornir() to use single generic group
   - Update: get_gns3_device_port.py() to return host-level config
   - Reserve: platform field for future NAPALM/scrapli plugin support

   **Benefits:**
   - Cleaner code structure (no dynamic group creation)
   - Follows Nornir best practice ("configuration proximity")
   - Easy to extend with new device types
   - Properly handles mixed-vendor topologies
2026-03-13 09:32:18 +08:00
..

GNS3 AI Copilot Documentation

This directory contains design documentation, implementation guides, and future plans for the GNS3 AI Copilot feature.

Directory Structure

docs/gns3-copilot/
├── README.md                    # This file
└── implemented/                 # Implemented features and designs
    ├── chat-api.md             # Chat API design (SSE, session management)
    ├── llm-model-configs.md    # LLM model configuration system
    ├── command-security.md     # Command security and filtering
    ├── context-window-management.md  # Context window optimization
    ├── node-control-tools.md   # Node start/stop/suspend tools for lab automation
    └── multi-vendor-device-support.md  # Multi-vendor device support (Cisco, Huawei)

Implemented Features

Chat API (implemented/chat-api.md)

The core Chat API that enables AI-powered conversations within GNS3 projects.

Key Features:

  • Server-Sent Events (SSE) for streaming responses
  • Project-level session isolation
  • Session management (CRUD operations)
  • Statistics tracking (messages, tokens, LLM calls)
  • User-level LLM configuration

Status: Implemented

LLM Model Configs (implemented/llm-model-configs.md)

Multi-level LLM model configuration system.

Key Features:

  • System-wide defaults
  • Group-level configurations
  • User-level overrides
  • Runtime parameter adjustment
  • Model provider abstraction

Status: Implemented

Command Security (implemented/command-security.md)

Security framework for AI-generated commands.

Key Features:

  • Command filtering and validation
  • Dangerous operation detection
  • HITL (Human-in-the-Loop) confirmations
  • Audit logging

Status: Implemented

Context Window Management (implemented/context-window-management.md)

Optimization strategies for handling large project contexts.

Key Features:

  • Intelligent content filtering
  • Token usage optimization
  • Summary generation
  • Context compression

Status: Implemented

Node Control Tools (implemented/node-control-tools.md)

Tools for controlling network device lifecycle in GNS3 projects.

Key Features:

  • Start nodes with progress tracking
  • Quick start for automated workflows
  • Stop nodes for lab shutdown
  • Batch operations support
  • Mode-based access control

Status: Implemented

Multi-Vendor Device Support (implemented/multi-vendor-device-support.md)

Multi-vendor network device support with custom Netmiko driver for Huawei devices.

Key Features:

  • Custom HuaweiTelnetCE driver for GNS3 emulation (no authentication)
  • Cisco IOS Telnet support
  • Dynamic device type detection from GNS3 tags
  • Automatic Nornir group generation
  • VRP-specific command handling (system-view, return confirmation)

Tested Vendors:

  • Cisco IOS (Telnet)
  • Huawei CloudEngine (Telnet, custom driver)

Status: Implemented

Future Enhancements

The following features are currently under consideration or development:

  • Configuration Templates: Template-based configuration generation for multi-vendor network devices
  • Vision-based Topology Creation: Create network topologies from images/diagrams
  • Enhanced HITL Workflows: Advanced Human-in-the-Loop confirmation patterns
  • Web UI Enhancements: Improved management interfaces

Contributing

When adding new documentation:

  1. Implementation: Add documentation to implemented/ when feature is complete
  2. Naming: Use concise names like {feature}.md

Document Status Legend

Status Description
Implemented Feature is fully implemented and deployed
📋 Design Complete Design is done, awaiting implementation
🚧 In Progress Currently being implemented
💡 Proposed Initial idea or proposal
  • Current Feature Branch: feature/ai-copilot-bridge
  • Main Branch: master
  • Issue Tracker: GitHub Issues

Last updated: 2026-03-12