scripts/edge/README.md

Edge Conversion Scripts

This directory contains optional utility scripts to convert the Orqanta AI / Psycho model to formats like TFLite or ONNX if required.

Note: Orqanta AI already features precompiled native C/C++ engine binaries in bin/android-arm64/orqanta and bin/linux-x86_64/orqanta that run natively on Android (Car / Smartwatch) and Linux laptops with <80MB RAM and sub-50ms CPU latency, without needing TFLite or ONNX!

Scripts

Script	Target Platform	Description
convert_to_tflite.py	Android‑based car (or any Android device)	Optional exporter bridge to TensorFlow Lite (.tflite).
convert_to_onnx.py	Linux laptop (or any Linux system)	Optional exporter bridge to ONNX (.onnx).

Requirements

• Python 3.9+
• For TFLite conversion: pip install tensorflow
• For ONNX conversion: pip install torch onnx

Direct Native Edge Execution (Recommended)

Instead of converting, use the zero-overhead native engine directly:

# On Linux Laptops (x86_64):
./bin/linux-x86_64/orqanta --model models/orqanta.cact --tools examples/linux_laptop/laptop_tools.json --prompt "Check battery"

# On Android Automotive / Smartwatch (ARM64):
adb push bin/android-arm64/orqanta /data/local/tmp/
adb push models/orqanta.cact /data/local/tmp/
adb shell "/data/local/tmp/orqanta --model /data/local/tmp/orqanta.cact --prompt 'Hello'"