- Slim custom_gns3fy.py to connector-only Gns3Connector and rename to
connector.py; delete the unused Node/Link/Project dataclasses and
endpoint wrapper methods (~3000 lines)
- Move the MCP node/link handler implementations into
gns3_client/api_handlers.py as the shared REST client layer consumed
by both the MCP service and copilot tools; add available_filters
handler (exposed as link_available_filters MCP tool) and
build_gns3_ctx() for copilot callers
- Rewrite the tools_v2 node/link tools on top of the handlers: batch
lifecycle actions now run in parallel, node creation is a single
POST, project-wide status reads replace per-node GETs
- Port Project.nodes_inventory/links_summary aggregation into
project_inventory.py (output shape preserved) and rewrite the
topology reader / project info tools on it, dropping the unused
stats/snapshots/drawings calls
- Delete the dead mcp/nodes.py and mcp/links.py (NODE_TOOLS/LINK_TOOLS
had no consumers; __init__ imports handlers from api_handlers)
- Retarget mcp handler tests to patch api_handlers._get_connector and
replace test_custom_gns3fy.py with inventory contract tests
## Summary
Add a complete fault injection system for GNS3 Copilot, migrate all
skills from local Python files to an external Git repository with
hot reload support, and restructure Copilot API under /copilot/.
## Key Changes
### Fault Injection
- New troubleshooting_injection mode with InjectionSkillsTool
- 368 fault scenarios across 39 protocol categories
- Context-based filtering (LLM must pass topology protocols)
### External Skills Repository
- SkillsManager: Git clone/pull, version tracking, smart updates
- SkillsLoader: YAML skills + Markdown prompts from external repo
- Hot reload via POST /copilot/reload/skills
- Configurable via gns3_server.conf
### Architecture
- API unified under /copilot/ prefix
- SkillsManager moved from Controller to agent module
- Lazy initialization with startup background preload
- Per-command Git timeout, smart update checks
- Forbidden commands hot-reloadable from external repo
- 32 INFO logs downgraded to DEBUG
Updated the author name and copyright statements across the
gns3_copilot module. The name has been standardized from
"Guobin Yue" to "Yue Guobin (岳国宾)" to reflect the correct
author attribution including Chinese characters.
- Added `temperature` parameter to Chat API documentation with implementation notes
- Improved code formatting in context_manager.py with consistent string quotes and line breaks
- Added section on future runtime LLM parameter override capabilities
- Updated API schemas to include temperature parameter (currently unused but reserved for future implementation)
Add copyright notice and author attribution to multiple Python files in the gns3-copilot module. This ensures proper licensing attribution and clarifies authorship for the project files.
Removed repetitive "This module is part of the GNS3-Copilot project" and GitHub URL comments from multiple module docstrings. These comments were redundant since the project information is already established in the main package documentation. This cleanup improves code readability and reduces maintenance overhead by eliminating duplicate attribution statements across the codebase.
- Refactor system message structure to combine system prompt and topology info using template variables
- Update token calculation process with merged system message approach
- Clarify priority order for message retention during context window management
- Add detailed token counting implementation using tiktoken library
- Include boundary case handling for system message exceeding budget
- Add SPDX license headers to tool files for proper licensing documentation
Improve logging in GNS3 topology reader to provide more structured and informative output. The previous single-line JSON log has been replaced with separate info and debug logs:
- Info log now includes project ID, project name, node count, and link count
- Debug log retains the full topology details for deeper inspection
This makes it easier to monitor topology retrieval in production while keeping detailed data available for debugging.
Updated import statements across multiple agent files to use absolute paths starting with `gns3server.agent.gns3_copilot` instead of relative `gns3_copilot` imports. This ensures proper module resolution within the gns3-server package structure and prevents import errors when the agent is executed from different contexts.
Integrate the gns3-copilot AI assistant module to provide intelligent
automation and interaction capabilities for GNS3 network emulation.
Key components:
- AI agent framework with LLM integration (supports Qwen vision model)
- GNS3 client library for project topology management
- Extensive prompt templates for various network operation scenarios
- Tool library for node creation, linking, configuration, and management
- Support for English level assessment (A1-C2) and specialized personas
- Network drawing and topology visualization tools
- Linux device automation via Nornir/Telnetlib
- Window controller for UI interaction
Features:
- Multi-modal AI agent with vision capabilities
- Automated network topology deployment and configuration
- Interactive node and drawing management
- File-based project operations (read, write, list)
- Specialized prompts for different scenarios and skill levels
- Comprehensive tool set for network device management
