Feature Extension Development Guide
To create a custom monitoring plugin, complete the following development process:
- Development readiness:Download the SDK from GitHub, included:
- Plug-in templates (Python+JSON)
- NVIDIA API Interface Documentation
- Debugging Simulator
- Core Development:through three key modules:
- data_collector.py - Hardware Data Collection
- ui_design.json - monitor panel layout
- command_handler.py - voice command response
Typical development cases:
- Added Sensor: Reads non-standard sensors on the motherboard through the HWiNFO64 interface
- Customized Alerts: Automatic voice alerts when SSD temperatures exceed thresholds
- Data visualization: Generate line graph tables with custom parameters
You can use the "Load Test Plugin" command during the testing phase, and for formal deployment, you need to put the compiled package into the Plugins directory. Each plug-in takes up a maximum of 10MB of video memory, performance optimization is recommended.
This answer comes from the articleProject G-Assist: an AI assistant that uses voice and text to optimize computer performanceThe
May not be reproduced without permission:AI productivity tools " How to extend hardware monitoring capabilities with Project G-Assist's plug-in system?
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