

Openai Realtime Embedded SDK
Overview :
The openai-realtime-embedded-sdk is an SDK specifically designed for microcontrollers, allowing developers to implement real-time API functionalities on devices like the ESP32. The development and testing of this SDK mainly occur on the ESP32S3 and Linux platforms, enabling developers to use it directly on Linux without physical hardware. The SDK supports device configuration through setting Wi-Fi SSID, password, and OpenAI API key, and allows building and running programs. Its significance lies in enabling microcontrollers to interact with powerful APIs, thereby expanding their application scope, especially in scenarios requiring real-time data processing and decision-making.
Target Users :
The target audience includes embedded system developers, IoT device manufacturers, and researchers requiring intelligent decision-making capabilities on microcontrollers. This SDK is particularly suitable for users seeking advanced data processing capabilities on resource-constrained devices, due to its ease of integration and use.
Use Cases
Implement voice control for smart home devices using the SDK on ESP32
Enable real-time response to sensor data in industrial automation through the SDK
Utilize the SDK for real-time inference of machine learning models in research fields
Features
Supports development and testing on ESP32S3 and Linux platforms
Allows setting Wi-Fi and API keys via environment variables
Provides a complete toolchain for building and running programs
Supports one-click Docker build processes
Facilitates interaction with OpenAI Real-time API through the SDK
Applicable in scenarios requiring real-time data processing and decision-making
How to Use
1. Ensure that protoc and protobufc are installed on the system.
2. Use idf.py to set the target platform, for example: idf.py set-target esp32s3.
3. Configure device-specific settings via idf.py menuconfig.
4. Set the Wi-Fi SSID, password, and OpenAI API key as environment variables.
5. Build the project using idf.py build.
6. If building for ESP32S3, flash the program to the device with sudo -E idf.py flash.
7. If building for Linux, run the generated binary directly, for example: ./build/src.elf.
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