Optimize GNS3StartNodeTool with device-type-aware wait time calculation
to significantly reduce startup time for fast devices (VPCS, IOU).
Changes:
- Add NODE_STARTUP_TIME configuration
* VPCS: 10s base + 2s per additional node
* IOU: 20s base + 3s per additional node
* Other devices: 120s base + 10s per additional node (conservative)
- Add calculate_startup_time() function
* Detects device types via node.node_type
* Uses fast startup time if all nodes are VPCS/IOU
* Uses conservative time if any slow device present
* Logs selected strategy and detected types
- Optimize GNS3StartNodeTool._run() method
* Retrieve node info (including node_type) before starting
* Calculate wait time based on detected device types
* Send start commands after info retrieval
* Use calculated wait time for progress bar
* Reuse collected node objects for status retrieval
Performance improvements:
- 1 VPCS node: 140s → 10s (93% faster)
- 5 VPCS nodes: 180s → 18s (90% faster)
- 1 IOU node: 140s → 20s (86% faster)
- 5 IOU nodes: 180s → 32s (82% faster)
- Mixed VPCS/IOU: 180s → 28s (84% faster)
Documentation:
- Update node-control-tools.md with dynamic wait time strategy
- Add device type comparison table
- Document performance improvements
- Update changelog
Code quality:
- All comments in English
- flake8 check passed
- mypy check passed
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 drivers for Huawei, Ruijie, and VPCS devices.
Key Features:
- Custom HuaweiTelnetCE driver for Huawei CloudEngine (no authentication)
- Custom RuijieTelnetEnhanced driver for Ruijie OS (interactive command handling)
- Custom VPCSTelnet driver for VPCS simulator (no authentication, ANSI code stripping)
- Cisco IOS Telnet support
- Dynamic device type detection from GNS3 tags
- Unified Nornir + Netmiko architecture
- Vendor-specific command handling (VRP system-view, Ruijie interactive prompts, VPCS simple prompts)
Tested Vendors:
- Cisco IOS (Telnet)
- Huawei CloudEngine (Telnet, custom driver)
- Ruijie (锐捷) OS (Telnet, custom enhanced driver)
- VPCS (Virtual PC Simulator, 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:
- Implementation: Add documentation to
implemented/when feature is complete - 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 |
Related Documentation
- GNS3 Server API Documentation
- GNS3 Web UI Documentation
- LangGraph Documentation
- FastAPI Documentation
Quick Links
- Current Feature Branch:
feature/ai-copilot-bridge - Main Branch:
master - Issue Tracker: GitHub Issues
Last updated: 2026-03-14