This repository provides guidance and examples for integrating the OpenAI Realtime API with WebRTC on microcontrollers and embedded platforms. It targets developers working with resource-constrained devices who need to leverage advanced AI capabilities locally. The primary benefit is enabling real-time AI interactions on edge devices without constant cloud connectivity.

How It Works

The project focuses on utilizing WebRTC for real-time audio and data streaming between embedded devices and the OpenAI Realtime API. It leverages existing SDKs and provides platform-specific examples, such as those for Espressif (ESP32), to facilitate integration. The approach aims to minimize latency and bandwidth requirements by processing data closer to the source.

Quick Start & Requirements

• Primary install / run command: Refer to platform-specific examples within the repository.
• Non-default prerequisites and dependencies: Espressif ESP32 development environment, WebRTC compatible hardware.
• Links: Espressif example: openai_demo

Highlighted Details

• Focus on WebRTC for real-time communication.
• Official examples for Espressif (ESP32) platforms.
• Original OpenAI Embedded SDK implementation available on the esp32 branch.

Maintenance & Community

This repository is maintained by OpenAI. Further community interaction details are not specified in the README.

Licensing & Compatibility

The repository does not explicitly state a license. Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The project primarily targets the ESP32 platform, and support for other embedded systems may be limited or require custom implementation. The "realtime" aspect is dependent on network conditions and device processing power.