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.
Add detailed section explaining that plaintext API keys for group configurations are never exposed through the application API, even to super admins. This clarifies the security design where group configs are intended for inheritance only, not manual viewing, while maintaining internal decryption for inheritance functionality.
Update the LLM model configs API documentation to provide clearer explanations of API key visibility controls and encryption behavior. The changes include:
- Enhanced visibility table with more specific scenarios and encryption states
- Added detailed rules explaining when API keys are visible as plaintext, hidden (null), or shown encrypted
- Clarified super admin capabilities and database-level access
- Updated JSON examples to reflect actual encrypted values and null placeholders
- Added important notes about Fernet encryption, on-the-fly decryption, and group config behavior
These updates provide better transparency about security measures and help users understand what to expect when viewing different types of configurations.
Changed the example value of `copilot_mode` from "lab_assistant" to "lab_automation_assistant" in the API documentation to reflect the correct mode name used in the system.
The `python scripts/show_model_context_limits.py` command was removed from the documentation as it is no longer necessary or relevant for users configuring model context limits. The remaining content still provides clear guidance on calculating context limits in K tokens.
- Rename "teaching" mode to "teaching_assistant" for better clarity
- Rename "lab_assistant" mode to "lab_automation_assistant" to reflect expanded capabilities
- Implement mode-specific tool sets: teaching_assistant gets read-only diagnostic tools only, while lab_automation_assistant gets full diagnostic and configuration tools
- Update API documentation examples to reflect new mode names
- Maintain backward compatibility with default tool set initialization
- Add `copilot_mode` field to request examples in API documentation
- Update prompt loader to read `copilot_mode` from flattened config structure
- Support both "teaching" and "lab_assistant" modes for different assistant behaviors
- Add `copilot_mode` field to LLM model configs API with "teaching" (diagnostics only) and "lab_assistant" (full configuration access) modes
- Introduce new `ExecuteMultipleDeviceConfigCommands` tool for executing configuration commands on multiple devices
- Include `tags` field in node data structure for enhanced project management
- Update API documentation examples to reflect new `copilot_mode` field and context limit additions
- Add `context_limit` as required field for LLM model configurations
- Add `context_strategy` as optional field with three trimming strategies
- Update API documentation with detailed examples for GPT-4o and Claude 3.5 Sonnet
- Clarify that context limit is specified in K tokens (thousands of tokens)
- Update example payloads to reflect current model versions and new fields
- Move AI chat API design document to gns3-copilot directory
- Add comprehensive HITL implementation plan with architecture and workflow
- Introduce human-in-the-loop confirmation for dangerous configuration commands
- Include state management, API endpoints, and frontend integration details
- Provide testing plan and deployment steps for the new feature
