💻 programming

OpenAI Realtime Embedded SDK

Real-time API embedded SDK for microcontrollers such as ESP32

#OpenAI
#Real-time API
#ESP32
#microcontroller
#Embedded development
OpenAI Realtime Embedded SDK

Product Details

openai-realtime-embedded-sdk is an SDK designed specifically for microcontrollers, allowing developers to implement real-time API functions on microcontrollers such as ESP32. The development and testing of this SDK is mainly carried out on ESP32S3 and Linux platforms, allowing developers to use it directly on Linux without physical hardware. The SDK supports configuring the device by setting the Wi-Fi SSID and password and OpenAI API key, and is able to build and run programs. Its importance lies in providing microcontrollers with the ability to interact with powerful APIs, expanding the application scope of microcontrollers, especially in scenarios that require real-time data processing and decision-making.

Main Features

1
Supports development and testing of ESP32S3 and Linux platforms
2
Allow setting Wi-Fi and API keys via environment variables
3
Provides a complete tool chain for building and running programs
4
Support Docker one-click build process
5
Interact with OpenAI real-time API via SDK
6
Suitable for application scenarios that require real-time data processing and decision-making

How to Use

1
1. Make sure protoc and protobufc are installed in the system.
2
2. Use idf.py to set the target platform, for example: idf.py set-target esp32s3.
3
3. Configure device-specific settings through idf.py menuconfig.
4
4. Set the Wi-Fi SSID and password and OpenAI API key as environment variables.
5
5. Use idf.py build to build the project.
6
6. If building for ESP32S3, use sudo -E idf.py flash to burn the program to the device.
7
7. If building for Linux, run the generated binary directly, for example: ./build/src.elf.

Target Users

The target audience is embedded system developers, IoT device manufacturers, and scientific researchers who need to implement intelligent decision-making on microcontrollers. Due to its ease of integration and use, the SDK is particularly suitable for users seeking to implement advanced data processing capabilities on resource-constrained devices.

Examples

Use SDK to implement voice control of smart home devices on ESP32

In the field of industrial automation, SDK enables microcontrollers to respond to sensor data in real time

In the field of scientific research, SDK is used for real-time inference of machine learning models.

Quick Access

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Categories

💻 programming
› Development and Tools
› API service

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