OpenAI Open-sources Plant Talk: Connect your microphone and sensors to have your potted plant chat with you in real-time

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According to Beating Monitoring, OpenAI's open-source education project Plant Talk combines Realtime API, multimodal vision models, and Arduino microcontrollers to enable indoor plants to perceive their environment and engage in voice conversations.

The project supports low-latency full-duplex voice communication with plants via a computer camera and microphone, and can connect to capacitive soil moisture sensors and LM393 light sensors through Arduino. The plant's AI role (such as the default role George) retrieves hardware data via function calling. When users ask if the plant is lacking water or light, the AI calls tools to read real-time physical indicators, estimates plant dryness, branch count, and maximum span (using a 25-cent coin as a size reference), and responds in a personified plant voice.

In terms of security and interface design, the backend Express server delegates WebRTC connection security to the frontend by requesting a temporary client key (Ephemeral Token), preventing the leakage of the main API key on the client side. Visual recognition and periodic observation use the Responses API combined with Zod schemas to achieve structured output. The codebase also includes an internal operation guide for AI agents, AGENTS.md, which instructs AI assistants to guide users step-by-step through software environment setup and hardware assembly.
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