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3b4bc93e85
Added comprehensive node creation template system including: - Batch node creation workflow (HITL with preview) - Node template schema (groups, positioning, auto-linking) - Automatic positioning algorithms (grid, spine-leaf, hierarchical) - Auto-linking strategies (mesh, paired, linear) - Batch parallel execution (20-50 concurrent) - Performance benchmarks for 100-1000+ nodes - Complete enterprise data center example (724 nodes, 4280 links) Key benefits: - 98% token savings for node creation (5000 → 100 tokens for 100 nodes) - 90% time savings (10 min → 1 min for 100 nodes) - Auto-linking eliminates manual connection setup - Combined workflow: Create + configure 724 nodes in ~10 minutes Updated implementation phases to include Phase 2.5 for node creation templates.
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
├── template-based-configuration-roadmap.md # Future: Template-based config with HITL
└── 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
Template-Based Configuration with HITL (template-based-configuration-roadmap.md)
Status: 💡 Proposed | Target: Next Release
A revolutionary approach to network device configuration using Jinja2 templates with Human-in-the-Loop confirmations.
Key Features:
- Three-step HITL workflow (Template → Parameters → Execute)
- 70-80% token savings for multi-device configurations
- Template reusability across projects
- Human review at every critical step
- Configuration preview before execution
Benefits:
- Massive token cost reduction
- Enhanced safety through human oversight
- Template library for common configurations
- Multi-vendor support (Cisco, Huawei, H3C, etc.)
Implementation Timeline:
- Phase 1: Core MVP (3-5 days) - Basic template workflow
- Phase 2: UX Enhancement (2-3 days) - Review interfaces, preview
- Phase 3: Template Library (2-3 days) - Pre-built templates, caching
- Phase 4: Advanced Features (3-4 days) - Multi-vendor, composition, analytics
See template-based-configuration-roadmap.md for complete details.
Other Proposed Features
- Vision-based Topology Creation: Create network topologies from images/diagrams
- Enhanced HITL Workflows: Advanced confirmation patterns for other operations
- Web UI Enhancements: Improved management interfaces
- Configuration Diff & Comparison: Compare configurations across devices
- Rollback & Undo: Revert configuration changes
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: 2026-03-20