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It handles all the complexities on the client and server side (microphone, speaker, VAD, network communication, etc) and provides ready-to-use implementations for various AI providers.\n\n# @micdrop/client\n\nThe heart of a Micdrop call, with nothing platform specific in it: the protocol, the call state, the voice activity detection, the recording and the playback scheduling.\n\n**You install it through a platform package rather than on its own:**\n\n- [`@micdrop/web`](../web) for a browser\n- [`@micdrop/react-native`](../react-native) for iOS and Android\n\nBoth re-export everything here, so `import { Micdrop } from '@micdrop/web'` gives you the same objects this package defines.\n\n## What lives here\n\n- `MicdropClient` and the `Micdrop` singleton: the WebSocket protocol, the call state, reconnection, interruption\n- `Mic` and `Speaker`: one microphone and one speaker for the app, in front of a pluggable driver\n- `MicRecorder`: the reserve of audio, the chunking at 16 kHz, the wiring to the VAD\n- `VolumeVAD`, `SileroVAD`, `MultipleVAD`: voice activity detection, the same on every platform\n- `Pcm16AudioStream`: gapless playback of the chunks as they arrive\n- `VolumeMeter`: the level the VAD and the level meters read\n\n## Writing a platform package\n\nA platform provides two things, and gets everything above for free.\n\n```ts\nimport { Mic, MicDriver, Speaker, SpeakerDriver } from '@micdrop/client'\n\nclass MyMic extends MicDriver {\n  // start() captures, then emits Frames with mono float samples\n}\n\nclass MySpeaker extends SpeakerDriver {\n  // play() queues 16 kHz PCM16\n}\n\nMic.setDriver(new MyMic())\nSpeaker.setDriver(new MySpeaker())\n```\n\n`Pcm16AudioStream` does the playback scheduling for you if the platform offers something like Web Audio: give it an `AudioSink`, which is the small slice of it that Micdrop needs, and call its `destroy()` when the driver stops. When the output needs a moment once the microphone opens, as with Firefox and a Bluetooth headset switching to its call profile, call `warmUp(duration)`: the stream plays silence that long and holds the first answer until it is over.\n\nFor Silero, provide the inference and the state machine comes from here:\n\n```ts\nimport { setSileroModelLoader } from '@micdrop/client'\n\nsetSileroModelLoader(async () => myModel) // process(frame) => probability\n```\n\n## Tests\n\nThe whole package runs in Node, from the audio helpers up to a full call against a real `MicdropServer`.\n\n```bash\npnpm --filter @micdrop/client test\n```\n\n## Documentation\n\nRead the full [client documentation](https://micdrop.dev/docs/client) on the [website](https://micdrop.dev).\n\n## License\n\nMIT\n\n## Author\n\nOriginally developed for [Raconte.ai](https://www.raconte.ai), created and open sourced by [Godefroy de Compreignac](https://github.com/Godefroy)\n","readmeFilename":"README.md"}