openai/openai-realtime-console
React app for inspecting, building and debugging with the Realtime API
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 7 contributors on GitHub.
Gained 85% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides a React-based console app for inspecting, building, and debugging interactions with the OpenAI Realtime API using WebRTC.
- Enables real-time event monitoring and client-side function calling with a minimal, easy-to-extend template leveraging modern web technologies.
- Use for developing and testing real-time communication features in applications integrating OpenAI's Realtime API.
- Use for learning how to implement WebRTC data channels for low-latency, peer-to-peer API event transmission in JavaScript.
- Use for debugging and visualizing JSON payloads of client-server events during development of realtime AI-powered apps.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
Watch-outs
- Warning: No commits in over a year (last push Aug 2025).
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
This is an example application showing how to use the OpenAI Realtime API with WebRTC.
Before you begin, you'll need an OpenAI API key - create one in the dashboard here. Create a
.envfile from the example file and set your API key in there:Running this application locally requires Node.js to be installed. Install dependencies for the application with:
This should start the console application on http://localhost:3000.
This application is a minimal template that uses express to serve the React frontend contained in the
/clientfolder. The server is configured to use vite to build the React frontend.This application shows how to send and receive Realtime API events over the WebRTC data channel and configure client-side function calling. You can also view the JSON payloads for client and server events using the logging panel in the UI.
For a more comprehensive example, see the OpenAI Realtime Agents demo built with Next.js, using an agentic architecture inspired by OpenAI Swarm.
The previous version of this application that used WebSockets on the client (not recommended in browsers) can be found here.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.4K-2
Open issues
54+1
Compared with peers in Backend
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| anthropics/skills | 187.8K | +2.9K | 15 | — |
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| NationalSecurityAgency/ghidra | 98.2K | +2.3K | 64 | 14 days ago |
| microsoft/VibeVoice | 56.0K | +1.1K | 29 | — |
| openai/openai-realtime-console | 3.6K | — | 9 | — |
| Category median | 56.0K | +2.3K | 29 | — |
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