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https://github.com/JamesTheGiblet/BuddAI.git
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- Added `ModelFineTuner` class for preparing training data and fine-tuning models based on user corrections. - Introduced `CodeValidator` class to validate generated code against various hardware and style rules, including safety checks and function naming conventions. - Developed skills for calculator operations, system information retrieval, weather fetching, and timer functionality. - Implemented a self-diagnostic skill to run unit tests and report results. - Created a dynamic skill loading mechanism to discover and register skills from the current directory. - Added unit tests for skills to ensure functionality and reliability.
27 lines
No EOL
812 B
Python
27 lines
No EOL
812 B
Python
import psutil
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def meta():
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"""
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Metadata for the System Info skill.
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"""
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return {
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"name": "System Info",
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"description": "Reports current CPU and RAM usage.",
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"triggers": ["cpu usage", "ram usage", "memory usage", "system stats", "how much ram", "cpu load"]
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}
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def run(payload):
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"""
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Fetches system metrics.
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"""
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# interval=0.1 ensures we get a fresh sample (blocking briefly)
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cpu_usage = psutil.cpu_percent(interval=0.1)
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mem = psutil.virtual_memory()
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total_gb = mem.total / (1024 ** 3)
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used_gb = mem.used / (1024 ** 3)
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percent_used = mem.percent
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return (f"🖥️ System Vital Signs:\n"
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f" 🧠 CPU Load: {cpu_usage}%\n"
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f" 💾 RAM Usage: {percent_used}% ({used_gb:.1f}GB / {total_gb:.1f}GB)") |