def connect(
        self,
        *,
        model: str,
        extra_query: Query = {},
        extra_headers: Headers = {},
        websocket_connection_options: WebsocketConnectionOptions = {},
    ) -> RealtimeConnectionManager:
        """
        The Realtime API enables you to build low-latency, multi-modal conversational experiences. It currently supports text and audio as both input and output, as well as function calling.

        Some notable benefits of the API include:

        - Native speech-to-speech: Skipping an intermediate text format means low latency and nuanced output.
        - Natural, steerable voices: The models have natural inflection and can laugh, whisper, and adhere to tone direction.
        - Simultaneous multimodal output: Text is useful for moderation; faster-than-realtime audio ensures stable playback.

        The Realtime API is a stateful, event-based API that communicates over a WebSocket.
        """
        return RealtimeConnectionManager(
            client=self._client,
            extra_query=extra_query,
            extra_headers=extra_headers,
            websocket_connection_options=websocket_connection_options,
            model=model,
        )

        The Realtime API enables you to build low-latency, multi-modal conversational experiences. It currently supports text and audio as both input and output, as well as function calling.

        Some notable benefits of the API include:

        - Native speech-to-speech: Skipping an intermediate text format means low latency and nuanced output.
        - Natural, steerable voices: The models have natural inflection and can laugh, whisper, and adhere to tone direction.
        - Simultaneous multimodal output: Text is useful for moderation; faster-than-realtime audio ensures stable playback.

        The Realtime API is a stateful, event-based API that communicates over a WebSocket.
        
src/openai/resources/beta/realtime/realtime.py