diff --git a/examples/wakeword_agent_dispatch/.env.example b/examples/wakeword_agent_dispatch/.env.example
new file mode 100644
index 00000000..06e40132
--- /dev/null
+++ b/examples/wakeword_agent_dispatch/.env.example
@@ -0,0 +1,31 @@
+# xAI Grok Voice Agent API (see https://docs.livekit.io/agents/models/realtime/plugins/xai/)
+XAI_API_KEY=
+
+# Optional: voice (Ara, Eve, Leo, Rex, Sal) and model override
+# LIVEKIT_AGENT_XAI_VOICE=Ara
+# LIVEKIT_AGENT_XAI_MODEL=grok-voice-fast-1.0
+
+# LiveKit connection settings
+LIVEKIT_URL=wss://your-project.livekit.cloud
+LIVEKIT_API_KEY=
+LIVEKIT_API_SECRET=
+
+# Example room and named agent dispatch settings
+LIVEKIT_ROOM=wakeword-preconnect
+LIVEKIT_AGENT_NAME=test-agent
+LIVEKIT_AGENT_METADATA=
+
+# Optional PortAudio device indices. Leave blank to use system defaults.
+LIVEKIT_AUDIO_INPUT_DEVICE=
+LIVEKIT_AUDIO_OUTPUT_DEVICE=
+
+# Wake word model settings
+LIVEKIT_WAKEWORD_MODEL=./models/hey_livekit.onnx
+LIVEKIT_WAKEWORD_NAME=hey_livekit
+LIVEKIT_WAKEWORD_THRESHOLD=0.5
+LIVEKIT_WAKEWORD_PREROLL_SECONDS=2.0
+LIVEKIT_PRECONNECT_BUFFER_SECONDS=10.0
+LIVEKIT_AGENT_WAIT_TIMEOUT=30.0
+
+# Debug directory to write preconnect buffer WAV files
+LIVEKIT_PRECONNECT_DEBUG_WAV=./debug
\ No newline at end of file
diff --git a/examples/wakeword_agent_dispatch/README.md b/examples/wakeword_agent_dispatch/README.md
new file mode 100644
index 00000000..1b7de2fb
--- /dev/null
+++ b/examples/wakeword_agent_dispatch/README.md
@@ -0,0 +1,87 @@
+# Wake Word Agent Dispatch Example
+
+This example keeps a local microphone track published from launch, listens for a wake word on
+that same microphone stream, dispatches a named LiveKit agent, and sends the pre-connect audio
+buffer to the first active agent participant. A companion `agent.py` provides a minimal voice
+assistant that ends its session when the user says `bye bye`.
+
+The example also keeps a short local preroll buffer so the pre-connect payload includes the wake
+word audio spoken before `LocalAudioTrack.start_preconnect_buffer()` could be called.
+
+## Requirements
+
+- Python 3.11 or newer
+- A microphone
+- A LiveKit project with an agent registered using `agent_name`
+- A wake word ONNX model, such as `hey_livekit.onnx`
+
+Install the example dependencies from this directory:
+
+```bash
+cd examples/wakeword_agent_dispatch
+uv sync --python 3.11
+```
+
+On macOS, `sounddevice` may require PortAudio:
+
+```bash
+brew install portaudio
+```
+
+On Ubuntu or Debian:
+
+```bash
+sudo apt install portaudio19-dev
+```
+
+## Configuration
+
+Set your LiveKit credentials and point the example at your wake word model:
+
+```bash
+export LIVEKIT_URL="wss://your-project.livekit.cloud"
+export LIVEKIT_API_KEY="..."
+export LIVEKIT_API_SECRET="..."
+export LIVEKIT_ROOM="wakeword-preconnect"
+export LIVEKIT_AGENT_NAME="test-agent"
+export LIVEKIT_WAKEWORD_MODEL="./models/hey_livekit.onnx"
+```
+
+Optional settings:
+
+```bash
+export LIVEKIT_WAKEWORD_NAME="hey_livekit"
+export LIVEKIT_WAKEWORD_THRESHOLD="0.5"
+export LIVEKIT_WAKEWORD_PREROLL_SECONDS="2.0"
+export LIVEKIT_PRECONNECT_BUFFER_SECONDS="10.0"
+export LIVEKIT_AGENT_METADATA=""
+export LIVEKIT_AGENT_WAIT_TIMEOUT="30.0"
+export LIVEKIT_AGENT_JOIN_DELAY_SECONDS="2.0"
+export LIVEKIT_AGENT_STT_MODEL="deepgram/nova-3"
+export LIVEKIT_AGENT_LLM_MODEL="openai/gpt-4o-mini"
+export LIVEKIT_AGENT_TTS_MODEL="cartesia/sonic-2"
+```
+
+## Run
+
+Start the named agent in one process:
+
+```bash
+uv run python agent.py dev
+```
+
+Then start the wake word client in another process:
+
+```bash
+uv run python wakeword_agent_dispatch.py
+```
+
+The script connects to LiveKit, publishes the microphone track immediately, and waits for the
+wake word. After detection, it dispatches `LIVEKIT_AGENT_NAME`, waits for an active agent
+participant, sends the buffered wake word audio to that participant, and disables wake word
+detection while the agent is active. When the agent ends its session, for example after the user
+says `bye bye`, the client clears the pre-connect buffer and local audio state before returning
+to idle wake word detection.
+
+For testing the pre-connect buffer, `agent.py` waits `LIVEKIT_AGENT_JOIN_DELAY_SECONDS` seconds
+before starting the room session. Set it to `0` to remove the artificial delay.
diff --git a/examples/wakeword_agent_dispatch/agent.py b/examples/wakeword_agent_dispatch/agent.py
new file mode 100644
index 00000000..21a256c4
--- /dev/null
+++ b/examples/wakeword_agent_dispatch/agent.py
@@ -0,0 +1,104 @@
+from __future__ import annotations
+
+import asyncio
+import logging
+import os
+
+from dotenv import find_dotenv, load_dotenv
+from livekit.agents import (
+    Agent,
+    AgentSession,
+    JobContext,
+    RunContext,
+    WorkerOptions,
+    cli,
+    function_tool,
+    room_io,
+)
+from livekit.plugins import xai
+
+logger = logging.getLogger("wakeword-agent")
+
+
+def _xai_realtime_model() -> xai.realtime.RealtimeModel:
+    """Grok Voice Agent API (OpenAI Realtime–compatible) end-to-end voice model."""
+    voice = os.getenv("LIVEKIT_AGENT_XAI_VOICE", "Ara")
+    model = os.getenv("LIVEKIT_AGENT_XAI_MODEL", "").strip()
+    if model:
+        return xai.realtime.RealtimeModel(model=model, voice=voice)
+    return xai.realtime.RealtimeModel(voice=voice)
+
+
+class BasicAssistant(Agent):
+    def __init__(self) -> None:
+        super().__init__(
+            instructions=(
+                "You are a brief, friendly voice assistant. Answer in one or two "
+                "sentences unless the user asks for more detail. When the user says "
+                "'bye livekit' or otherwise clearly asks to end the conversation, call "
+                "the end_session tool immediately."
+            ),
+            llm=_xai_realtime_model(),
+        )
+
+    @function_tool(name="end_session")
+    async def end_session(self, ctx: RunContext) -> None:
+        """
+        End the current voice session when the user says "bye livekit".
+
+        This is the final action for the conversation. Use it only when the user
+        clearly says "bye livekit" or otherwise asks to end the session.
+        """
+        logger.info("ending agent session after user goodbye")
+        ctx.session.say("Bye, see you next time.", allow_interruptions=False)
+        ctx.session.shutdown()
+
+
+async def entrypoint(ctx: JobContext) -> None:
+    session = AgentSession()
+    closed = asyncio.get_running_loop().create_future()
+    pre_connect_audio_timeout = float(
+        os.getenv("LIVEKIT_AGENT_PRECONNECT_AUDIO_TIMEOUT_SECONDS", "10.0")
+    )
+
+    @session.on("close")
+    def _on_close(_) -> None:
+        if not closed.done():
+            closed.set_result(None)
+
+    @session.on("user_input_transcribed")
+    def _on_user_input_transcribed(ev) -> None:
+        logger.info(
+            "user transcript%s: %s",
+            " final" if ev.is_final else "",
+            ev.transcript or "<empty>",
+        )
+
+    @session.on("conversation_item_added")
+    def _on_conversation_item_added(ev) -> None:
+        logger.info("conversation item added: %s", ev.item)
+
+    await session.start(
+        agent=BasicAssistant(),
+        room=ctx.room,
+        room_options=room_io.RoomOptions(
+            audio_input=room_io.AudioInputOptions(
+                pre_connect_audio=True,
+                pre_connect_audio_timeout=pre_connect_audio_timeout,
+            ),
+        ),
+    )
+    await closed
+    ctx.shutdown("agent session ended")
+
+
+if __name__ == "__main__":
+    logging.basicConfig(level=logging.INFO)
+    load_dotenv(find_dotenv())
+
+    cli.run_app(
+        WorkerOptions(
+            entrypoint_fnc=entrypoint,
+            agent_name=os.getenv("LIVEKIT_AGENT_NAME", "test-agent"),
+        )
+    )
diff --git a/examples/wakeword_agent_dispatch/client.py b/examples/wakeword_agent_dispatch/client.py
new file mode 100644
index 00000000..e7898cd2
--- /dev/null
+++ b/examples/wakeword_agent_dispatch/client.py
@@ -0,0 +1,793 @@
+from __future__ import annotations
+
+import asyncio
+import contextlib
+import datetime
+import logging
+import os
+import signal
+import wave
+from collections import deque
+from dataclasses import dataclass
+from enum import Enum
+from pathlib import Path
+from typing import Any, Deque, Optional
+
+import numpy as np
+from dotenv import find_dotenv, load_dotenv
+from livekit import api, rtc
+
+SAMPLE_RATE = 48_000
+NUM_CHANNELS = 1
+WAKEWORD_SAMPLE_RATE = 16_000
+WAKEWORD_WINDOW_SAMPLES = 2 * WAKEWORD_SAMPLE_RATE
+OUTPUT_SAMPLE_RATE = 48_000
+OUTPUT_FRAME_SAMPLES = 480  # 10 ms at 48 kHz
+PRE_CONNECT_AUDIO_BUFFER_TOPIC = "lk.agent.pre-connect-audio-buffer"
+
+logger = logging.getLogger("wakeword-agent-dispatch")
+
+
+@dataclass(frozen=True)
+class Config:
+    url: str
+    api_key: str
+    api_secret: str
+    room_name: str
+    agent_name: str
+    wakeword_model: Path
+    wakeword_name: Optional[str]
+    wakeword_threshold: float
+    wakeword_preroll_seconds: float
+    preconnect_buffer_seconds: float
+    preconnect_debug_wav: Path | None
+    agent_metadata: str
+    agent_wait_timeout: float
+    audio_input_device: int | None
+    audio_output_device: int | None
+
+    @staticmethod
+    def from_env() -> "Config":
+        url = os.getenv("LIVEKIT_URL")
+        api_key = os.getenv("LIVEKIT_API_KEY")
+        api_secret = os.getenv("LIVEKIT_API_SECRET")
+        if not url or not api_key or not api_secret:
+            raise RuntimeError(
+                "LIVEKIT_URL, LIVEKIT_API_KEY, and LIVEKIT_API_SECRET must be set"
+            )
+
+        return Config(
+            url=url,
+            api_key=api_key,
+            api_secret=api_secret,
+            room_name=os.getenv("LIVEKIT_ROOM", "wakeword-preconnect"),
+            agent_name=os.getenv("LIVEKIT_AGENT_NAME", "test-agent"),
+            wakeword_model=Path(
+                os.getenv("LIVEKIT_WAKEWORD_MODEL", "./models/hey_livekit.onnx")
+            ),
+            wakeword_name=os.getenv("LIVEKIT_WAKEWORD_NAME"),
+            wakeword_threshold=float(os.getenv("LIVEKIT_WAKEWORD_THRESHOLD", "0.5")),
+            wakeword_preroll_seconds=float(
+                os.getenv("LIVEKIT_WAKEWORD_PREROLL_SECONDS", "2.0")
+            ),
+            preconnect_buffer_seconds=float(
+                os.getenv("LIVEKIT_PRECONNECT_BUFFER_SECONDS", "10.0")
+            ),
+            preconnect_debug_wav=(
+                Path(debug_wav).expanduser()
+                if (debug_wav := os.getenv("LIVEKIT_PRECONNECT_DEBUG_WAV"))
+                else None
+            ),
+            agent_metadata=os.getenv("LIVEKIT_AGENT_METADATA", ""),
+            agent_wait_timeout=float(os.getenv("LIVEKIT_AGENT_WAIT_TIMEOUT", "30.0")),
+            audio_input_device=Config._optional_int_from_env(
+                "LIVEKIT_AUDIO_INPUT_DEVICE"
+            ),
+            audio_output_device=Config._optional_int_from_env(
+                "LIVEKIT_AUDIO_OUTPUT_DEVICE"
+            ),
+        )
+
+    @staticmethod
+    def _optional_int_from_env(name: str) -> int | None:
+        raw = os.getenv(name)
+        if raw is None or not raw.strip():
+            return None
+
+        try:
+            return int(raw)
+        except ValueError:
+            raise RuntimeError(f"{name} must be an integer device index") from None
+
+
+def _describe_audio_device(device_index: int | None, kind: str) -> str:
+    import sounddevice as sd  # type: ignore[import-not-found, import-untyped]
+
+    selected_index = device_index
+    if selected_index is None:
+        default_device = sd.default.device
+        if isinstance(default_device, (list, tuple)):
+            selected_index = default_device[0 if kind == "input" else 1]
+
+    if selected_index is None:
+        return "system default"
+
+    try:
+        device = sd.query_devices(selected_index)
+        return f"{selected_index} ({device['name']})"
+    except Exception:
+        return str(selected_index)
+
+
+@dataclass(frozen=True)
+class MicChunk:
+    data: bytes
+    samples_per_channel: int
+
+
+class PreconnectAudioBuffer:
+    def __init__(self, max_duration: float) -> None:
+        self._max_samples = self._duration_to_samples(max_duration)
+        self._chunks: Deque[MicChunk] = deque()
+        self._samples = 0
+
+    @staticmethod
+    def _duration_to_samples(duration: float) -> int:
+        return max(1, int(duration * SAMPLE_RATE))
+
+    def set_max_duration(self, max_duration: float) -> None:
+        self._max_samples = self._duration_to_samples(max_duration)
+        self._trim()
+
+    def append(self, chunk: MicChunk) -> None:
+        self._chunks.append(chunk)
+        self._samples += chunk.samples_per_channel
+        self._trim()
+
+    def _trim(self) -> None:
+        while self._samples > self._max_samples and len(self._chunks) > 1:
+            dropped = self._chunks.popleft()
+            self._samples -= dropped.samples_per_channel
+
+    def capture(self) -> bytes:
+        data = b"".join(chunk.data for chunk in self._chunks)
+        self.clear()
+        return data
+
+    def clear(self) -> None:
+        self._chunks.clear()
+        self._samples = 0
+
+
+class WakeWordAudioWindow:
+    def __init__(self, max_samples: int) -> None:
+        self._max_samples = max_samples
+        self._chunks: Deque[np.ndarray] = deque()
+        self._samples = 0
+
+    def append(self, samples: np.ndarray) -> None:
+        if samples.size == 0:
+            return
+
+        samples = samples.reshape(-1)
+        self._chunks.append(samples)
+        self._samples += samples.size
+
+        while self._samples > self._max_samples:
+            excess = self._samples - self._max_samples
+            oldest = self._chunks[0]
+            if oldest.size <= excess:
+                self._chunks.popleft()
+                self._samples -= oldest.size
+            else:
+                self._chunks[0] = oldest[excess:]
+                self._samples -= excess
+
+    @property
+    def is_full(self) -> bool:
+        return self._samples == self._max_samples
+
+    def samples(self) -> np.ndarray:
+        if len(self._chunks) == 1:
+            return self._chunks[0].copy()
+
+        return np.concatenate(self._chunks)
+
+    def clear(self) -> None:
+        self._chunks.clear()
+        self._samples = 0
+
+
+class ClientMode(Enum):
+    IDLE = "idle"
+    DISPATCHING = "dispatching"
+    IN_SESSION = "in_session"
+
+
+@dataclass
+class ClientState:
+    mode: ClientMode = ClientMode.IDLE
+    agent_identity: str | None = None
+    dispatch_task: asyncio.Task[str] | None = None
+
+
+def _chunk_to_audio_frame(chunk: MicChunk) -> rtc.AudioFrame:
+    return rtc.AudioFrame(
+        data=chunk.data,
+        sample_rate=SAMPLE_RATE,
+        num_channels=NUM_CHANNELS,
+        samples_per_channel=chunk.samples_per_channel,
+    )
+
+
+def _put_chunk(queue: asyncio.Queue[MicChunk], chunk: MicChunk) -> None:
+    if queue.full():
+        try:
+            queue.get_nowait()
+        except asyncio.QueueEmpty:
+            pass
+
+    try:
+        queue.put_nowait(chunk)
+    except asyncio.QueueFull:
+        pass
+
+
+def _is_active_agent(participant: rtc.RemoteParticipant) -> bool:
+    return (
+        participant.kind == rtc.ParticipantKind.PARTICIPANT_KIND_AGENT
+        and participant.state == rtc.ParticipantState.PARTICIPANT_STATE_ACTIVE
+    )
+
+
+async def _wait_for_active_agent(room: rtc.Room, timeout: float) -> rtc.RemoteParticipant:
+    for participant in room.remote_participants.values():
+        if _is_active_agent(participant):
+            return participant
+
+    loop = asyncio.get_running_loop()
+    future: asyncio.Future[rtc.RemoteParticipant] = loop.create_future()
+
+    def _on_participant_active(participant: rtc.RemoteParticipant) -> None:
+        if _is_active_agent(participant) and not future.done():
+            future.set_result(participant)
+
+    room.on("participant_active", _on_participant_active)
+    try:
+        return await asyncio.wait_for(future, timeout=timeout)
+    finally:
+        room.off("participant_active", _on_participant_active)
+
+
+def _preconnect_debug_wav_path(path: Path) -> Path:
+    if path.suffix.lower() == ".wav":
+        return path
+
+    timestamp = datetime.datetime.now().strftime("%Y%m%d-%H%M%S-%f")
+    return path / f"preconnect-buffer-{timestamp}.wav"
+
+
+def _write_preconnect_debug_wav(
+    path: Path,
+    pcm_data: bytes,
+    *,
+    sample_rate: int,
+    num_channels: int,
+) -> Path:
+    output_path = _preconnect_debug_wav_path(path)
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+
+    with wave.open(str(output_path), "wb") as wav_file:
+        wav_file.setnchannels(num_channels)
+        wav_file.setsampwidth(2)
+        wav_file.setframerate(sample_rate)
+        wav_file.writeframes(pcm_data)
+
+    return output_path
+
+
+async def _send_preconnect_buffer(
+    track: rtc.LocalAudioTrack,
+    audio_queue: asyncio.Queue[MicChunk],
+    preconnect_buffer: PreconnectAudioBuffer,
+    *,
+    destination_identity: str,
+    debug_wav: Path | None,
+) -> None:
+    participant = getattr(track, "_participant", None)
+    if participant is None:
+        raise RuntimeError("track is not published")
+
+    source = getattr(track, "_source", None)
+    if source is None:
+        raise RuntimeError("track has no audio source")
+
+    async with track._send_lock:
+        drained = _drain_audio_queue_to_buffer(audio_queue, preconnect_buffer)
+        if drained:
+            logger.info("included %d queued audio chunks in pre-connect buffer", drained)
+
+        data = preconnect_buffer.capture()
+        if not data:
+            return
+
+        if debug_wav is not None:
+            output_path = _write_preconnect_debug_wav(
+                debug_wav,
+                data,
+                sample_rate=source.sample_rate,
+                num_channels=source.num_channels,
+            )
+            duration = len(data) / (source.sample_rate * source.num_channels * 2)
+            logger.info(
+                "wrote pre-connect buffer debug WAV %s (%.2fs, %d bytes)",
+                output_path,
+                duration,
+                len(data),
+            )
+
+        writer = await participant.stream_bytes(
+            "preconnect-buffer",
+            topic=PRE_CONNECT_AUDIO_BUFFER_TOPIC,
+            mime_type="application/octet-stream",
+            destination_identities=[destination_identity],
+            attributes={
+                "trackId": track._publication_sid or track.sid,
+                "sampleRate": str(source.sample_rate),
+                "channels": str(source.num_channels),
+            },
+        )
+
+        await writer.write(data)
+        await writer.aclose()
+
+
+async def _dispatch_agent_and_send_buffer(
+    lkapi: api.LiveKitAPI,
+    room: rtc.Room,
+    track: rtc.LocalAudioTrack,
+    audio_queue: asyncio.Queue[MicChunk],
+    preconnect_buffer: PreconnectAudioBuffer,
+    config: Config,
+) -> str:
+    dispatch = await lkapi.agent_dispatch.create_dispatch(
+        api.CreateAgentDispatchRequest(
+            agent_name=config.agent_name,
+            room=config.room_name,
+            metadata=config.agent_metadata,
+        )
+    )
+    logger.info("created dispatch %s for agent %s", dispatch.id, config.agent_name)
+
+    agent = await _wait_for_active_agent(room, timeout=config.agent_wait_timeout)
+    logger.info("agent participant %s is active; sending buffered audio", agent.identity)
+    await _send_preconnect_buffer(
+        track,
+        audio_queue,
+        preconnect_buffer,
+        destination_identity=agent.identity,
+        debug_wav=config.preconnect_debug_wav,
+    )
+    logger.info("sent pre-connect buffer to %s", agent.identity)
+    return agent.identity
+
+
+def _drain_audio_queue(audio_queue: asyncio.Queue[MicChunk]) -> int:
+    drained = 0
+    while True:
+        try:
+            audio_queue.get_nowait()
+            drained += 1
+        except asyncio.QueueEmpty:
+            return drained
+
+
+def _drain_audio_queue_to_buffer(
+    audio_queue: asyncio.Queue[MicChunk],
+    preconnect_buffer: PreconnectAudioBuffer,
+) -> int:
+    drained = 0
+    while True:
+        try:
+            chunk = audio_queue.get_nowait()
+        except asyncio.QueueEmpty:
+            return drained
+        preconnect_buffer.append(chunk)
+        drained += 1
+
+
+async def _wait_mic_chunk_or_shutdown(
+    audio_queue: asyncio.Queue[MicChunk],
+    shutdown: asyncio.Event,
+) -> MicChunk | None:
+    """Return the next mic chunk, or None when shutdown was requested."""
+    if shutdown.is_set():
+        return None
+    get_chunk = asyncio.create_task(audio_queue.get())
+    wait_shutdown = asyncio.create_task(shutdown.wait())
+    done, pending = await asyncio.wait(
+        {get_chunk, wait_shutdown},
+        return_when=asyncio.FIRST_COMPLETED,
+    )
+    for task in pending:
+        task.cancel()
+        with contextlib.suppress(asyncio.CancelledError):
+            await task
+    if wait_shutdown in done:
+        return None
+    return get_chunk.result()
+
+
+def _reset_wakeword_model(model: Any) -> None:
+    reset = getattr(model, "reset", None)
+    if callable(reset):
+        reset()
+
+
+async def _monitor_mic_track(
+    track: rtc.LocalAudioTrack,
+    audio_queue: asyncio.Queue[MicChunk],
+) -> None:
+    audio_stream = rtc.AudioStream(
+        track=track,
+        sample_rate=SAMPLE_RATE,
+        num_channels=NUM_CHANNELS,
+        frame_size_ms=10,
+    )
+    try:
+        async for event in audio_stream:
+            frame = event.frame
+            _put_chunk(
+                audio_queue,
+                MicChunk(
+                    data=frame.data.tobytes(),
+                    samples_per_channel=frame.samples_per_channel,
+                ),
+            )
+    finally:
+        await audio_stream.aclose()
+
+
+async def _run_audio_loop(
+    audio_queue: asyncio.Queue[MicChunk],
+    model: Any,
+    source: rtc.AudioSource,
+    track: rtc.LocalAudioTrack,
+    room: rtc.Room,
+    lkapi: api.LiveKitAPI,
+    config: Config,
+    shutdown: asyncio.Event,
+) -> None:
+    preconnect_buffer = PreconnectAudioBuffer(config.wakeword_preroll_seconds)
+    wakeword_window = WakeWordAudioWindow(WAKEWORD_WINDOW_SAMPLES)
+    wakeword_resampler = rtc.AudioResampler(SAMPLE_RATE, WAKEWORD_SAMPLE_RATE)
+    state = ClientState()
+
+    def _reset_to_idle(reason: str, *, cancel_dispatch: bool = True) -> None:
+        nonlocal wakeword_resampler
+
+        if cancel_dispatch and state.dispatch_task and not state.dispatch_task.done():
+            state.dispatch_task.cancel()
+
+        state.dispatch_task = None
+        state.agent_identity = None
+        state.mode = ClientMode.IDLE
+        source.clear_queue()
+        preconnect_buffer.set_max_duration(config.wakeword_preroll_seconds)
+        preconnect_buffer.clear()
+        wakeword_window.clear()
+        wakeword_resampler = rtc.AudioResampler(SAMPLE_RATE, WAKEWORD_SAMPLE_RATE)
+        drained = _drain_audio_queue(audio_queue)
+        _reset_wakeword_model(model)
+        logger.info(
+            "reset to idle mode after %s; dropped %d queued audio chunks",
+            reason,
+            drained,
+        )
+
+    def _on_participant_active(participant: rtc.RemoteParticipant) -> None:
+        if not _is_active_agent(participant):
+            return
+
+        if state.mode == ClientMode.IDLE:
+            state.mode = ClientMode.IN_SESSION
+            state.agent_identity = participant.identity
+            logger.info(
+                "agent participant %s is active; wake word detection disabled",
+                participant.identity,
+            )
+
+    def _on_participant_disconnected(participant: rtc.RemoteParticipant) -> None:
+        if participant.kind != rtc.ParticipantKind.PARTICIPANT_KIND_AGENT:
+            return
+
+        if (
+            state.mode == ClientMode.IN_SESSION
+            and state.agent_identity == participant.identity
+        ):
+            logger.info("agent participant %s disconnected", participant.identity)
+            _reset_to_idle("agent session ended")
+
+    def _on_dispatch_done(task: asyncio.Task[str]) -> None:
+        if state.dispatch_task is task:
+            state.dispatch_task = None
+
+        if task.cancelled():
+            return
+
+        try:
+            agent_identity = task.result()
+        except Exception:
+            logger.exception("agent dispatch or pre-connect buffer send failed")
+            _reset_to_idle("dispatch failed", cancel_dispatch=False)
+            return
+
+        agent = room.remote_participants.get(agent_identity)
+        if agent is None:
+            _reset_to_idle("agent left before session could start", cancel_dispatch=False)
+            return
+
+        state.mode = ClientMode.IN_SESSION
+        state.agent_identity = agent_identity
+        logger.info(
+            "agent session is active for %s; wake word detection remains disabled",
+            agent_identity,
+        )
+
+    logger.info("listening for wake word using %s", config.wakeword_model)
+
+    room.on("participant_active", _on_participant_active)
+    room.on("participant_disconnected", _on_participant_disconnected)
+    for participant in room.remote_participants.values():
+        _on_participant_active(participant)
+
+    try:
+        while True:
+            chunk = await _wait_mic_chunk_or_shutdown(audio_queue, shutdown)
+            if chunk is None:
+                logger.info("audio loop stopping (shutdown requested)")
+                break
+
+            if state.mode in (ClientMode.IDLE, ClientMode.DISPATCHING):
+                preconnect_buffer.append(chunk)
+
+            if state.mode == ClientMode.IDLE:
+                for wakeword_frame in wakeword_resampler.push(_chunk_to_audio_frame(chunk)):
+                    samples = np.frombuffer(wakeword_frame.data, dtype=np.int16)
+                    wakeword_window.append(samples)
+                if not wakeword_window.is_full:
+                    continue
+
+                scores = model.predict(wakeword_window.samples())
+                if not scores:
+                    continue
+
+                wakeword_name = config.wakeword_name or next(iter(scores))
+                confidence = float(scores.get(wakeword_name, 0.0))
+
+                if confidence >= config.wakeword_threshold:
+                    state.mode = ClientMode.DISPATCHING
+                    logger.info(
+                        "detected %s with confidence %.2f; wake word detection disabled",
+                        wakeword_name,
+                        confidence,
+                    )
+
+                    # Keep one ordered buffer from the monitor stream so the wakeword
+                    # preroll and dispatch audio do not cross timing domains.
+                    preconnect_buffer.set_max_duration(config.preconnect_buffer_seconds)
+
+                    state.dispatch_task = asyncio.create_task(
+                        _dispatch_agent_and_send_buffer(
+                            lkapi,
+                            room,
+                            track,
+                            audio_queue,
+                            preconnect_buffer,
+                            config,
+                        )
+                    )
+                    state.dispatch_task.add_done_callback(_on_dispatch_done)
+    finally:
+        room.off("participant_active", _on_participant_active)
+        room.off("participant_disconnected", _on_participant_disconnected)
+        _reset_to_idle("audio loop stopped")
+
+
+async def main() -> None:
+    logging.basicConfig(
+        level=logging.INFO,
+        format="%(asctime)s.%(msecs)03d %(levelname)s %(name)s %(message)s",
+        datefmt="%H:%M:%S",
+    )
+    load_dotenv(find_dotenv())
+
+    config = Config.from_env()
+    if not config.wakeword_model.exists():
+        raise RuntimeError(f"wake word model not found: {config.wakeword_model}")
+
+    from livekit.wakeword import WakeWordModel
+
+    shutdown_event = asyncio.Event()
+
+    model = WakeWordModel(models=[str(config.wakeword_model)])
+    audio_queue: asyncio.Queue[MicChunk] = asyncio.Queue(maxsize=100)
+    devices = rtc.MediaDevices(
+        input_sample_rate=SAMPLE_RATE,
+        output_sample_rate=OUTPUT_SAMPLE_RATE,
+        num_channels=NUM_CHANNELS,
+        blocksize=OUTPUT_FRAME_SAMPLES,
+    )
+    logger.info(
+        "using audio devices input=%s output=%s",
+        _describe_audio_device(config.audio_input_device, "input"),
+        _describe_audio_device(config.audio_output_device, "output"),
+    )
+    mic = devices.open_input(
+        enable_aec=True,
+        input_device=config.audio_input_device,
+    )
+    player = devices.open_output(output_device=config.audio_output_device)
+    room = rtc.Room()
+    lkapi = api.LiveKitAPI(config.url, config.api_key, config.api_secret)
+    background_tasks: set[asyncio.Task[None]] = set()
+
+    def _create_background_task(coro) -> None:
+        task = asyncio.create_task(coro)
+        background_tasks.add(task)
+        task.add_done_callback(background_tasks.discard)
+
+    async def _log_transcription_stream(
+        reader: rtc.TextStreamReader,
+        participant_identity: str,
+    ) -> None:
+        chunks: list[str] = []
+        try:
+            async for chunk in reader:
+                chunks.append(chunk)
+                logger.info(
+                    "transcription chunk from %s: %s",
+                    participant_identity,
+                    chunk,
+                )
+
+            transcript = "".join(chunks).strip()
+            logger.info(
+                "transcription stream from %s complete: %s attributes=%s",
+                participant_identity,
+                transcript or "<empty>",
+                reader.info.attributes,
+            )
+        except asyncio.CancelledError:
+            raise
+        except Exception:
+            logger.exception(
+                "failed to read transcription stream from %s",
+                participant_identity,
+            )
+
+    def _on_transcription_stream(
+        reader: rtc.TextStreamReader,
+        participant_identity: str,
+    ) -> None:
+        _create_background_task(
+            _log_transcription_stream(reader, participant_identity)
+        )
+
+    def _maybe_play_agent_track(
+        track: rtc.Track,
+        participant: rtc.RemoteParticipant,
+    ) -> None:
+        if (
+            track.kind != rtc.TrackKind.KIND_AUDIO
+            or participant.kind != rtc.ParticipantKind.PARTICIPANT_KIND_AGENT
+        ):
+            return
+
+        _create_background_task(player.add_track(track))
+        logger.info(
+            "playing agent audio track %s from %s",
+            track.sid,
+            participant.identity,
+        )
+
+    def _on_track_subscribed(
+        track: rtc.Track,
+        publication: rtc.RemoteTrackPublication,
+        participant: rtc.RemoteParticipant,
+    ) -> None:
+        _maybe_play_agent_track(track, participant)
+
+    def _on_track_unsubscribed(
+        track: rtc.Track,
+        publication: rtc.RemoteTrackPublication,
+        participant: rtc.RemoteParticipant,
+    ) -> None:
+        _create_background_task(player.remove_track(track))
+        logger.info(
+            "stopped playing audio track %s from %s",
+            track.sid,
+            participant.identity,
+        )
+
+    room.on("track_subscribed", _on_track_subscribed)
+    room.on("track_unsubscribed", _on_track_unsubscribed)
+    room.register_text_stream_handler("lk.transcription", _on_transcription_stream)
+
+    token = (
+        api.AccessToken(config.api_key, config.api_secret)
+        .with_identity("wakeword-client")
+        .with_name("Wake Word Client")
+        .with_grants(api.VideoGrants(room_join=True, room=config.room_name))
+        .to_jwt()
+    )
+
+    loop = asyncio.get_running_loop()
+    signal_handlers_registered = False
+
+    def _request_shutdown() -> None:
+        if not shutdown_event.is_set():
+            logger.info("shutdown requested; stopping wake word client…")
+        shutdown_event.set()
+
+    try:
+        await room.connect(config.url, token)
+        logger.info("connected to room %s", room.name)
+
+        try:
+            for sig in (signal.SIGINT, signal.SIGTERM):
+                loop.add_signal_handler(sig, _request_shutdown)
+            signal_handlers_registered = True
+        except (NotImplementedError, RuntimeError):
+            # Some platforms (e.g. Windows) may not support signal handlers on the event loop.
+            pass
+
+        track = rtc.LocalAudioTrack.create_audio_track("wakeword-mic", mic.source)
+
+        options = rtc.TrackPublishOptions()
+        options.source = rtc.TrackSource.SOURCE_MICROPHONE
+        options.preconnect_buffer = True
+        publication = await room.local_participant.publish_track(track, options)
+        logger.info("published microphone track %s", publication.sid)
+
+        await player.start()
+        _create_background_task(_monitor_mic_track(track, audio_queue))
+
+        await _run_audio_loop(
+            audio_queue,
+            model,
+            mic.source,
+            track,
+            room,
+            lkapi,
+            config,
+            shutdown_event,
+        )
+    finally:
+        if signal_handlers_registered:
+            for sig in (signal.SIGINT, signal.SIGTERM):
+                with contextlib.suppress(Exception):
+                    loop.remove_signal_handler(sig)
+
+        for task in list(background_tasks):
+            task.cancel()
+        for task in list(background_tasks):
+            with contextlib.suppress(asyncio.CancelledError):
+                await task
+
+        # Close playback before capture so PortAudio + AEC reverse path tear down cleanly.
+        with contextlib.suppress(Exception):
+            await player.aclose()
+        with contextlib.suppress(Exception):
+            await mic.aclose()
+
+        room.unregister_text_stream_handler("lk.transcription")
+        await lkapi.aclose()
+        await room.disconnect()
+
+
+if __name__ == "__main__":
+    try:
+        asyncio.run(main())
+    except KeyboardInterrupt:
+        pass
diff --git a/examples/wakeword_agent_dispatch/models/hey_livekit.onnx b/examples/wakeword_agent_dispatch/models/hey_livekit.onnx
new file mode 100644
index 00000000..22b15625
Binary files /dev/null and b/examples/wakeword_agent_dispatch/models/hey_livekit.onnx differ
diff --git a/examples/wakeword_agent_dispatch/pyproject.toml b/examples/wakeword_agent_dispatch/pyproject.toml
new file mode 100644
index 00000000..3e7c9923
--- /dev/null
+++ b/examples/wakeword_agent_dispatch/pyproject.toml
@@ -0,0 +1,19 @@
+[project]
+name = "wakeword-agent-dispatch-example"
+version = "0.1.0"
+description = "Wake word-triggered LiveKit agent dispatch with pre-connect audio buffering"
+requires-python = ">=3.11"
+dependencies = [
+    "livekit",
+    "livekit-agents[xai]>=1.3.0",
+    "livekit-api",
+    "livekit-protocol",
+    "livekit-wakeword>=0.1.1",
+    "python-dotenv>=1.0.0",
+    "sounddevice>=0.4.6",
+]
+
+[tool.uv.sources]
+livekit = { path = "../../livekit-rtc", editable = true }
+livekit-api = { path = "../../livekit-api", editable = true }
+livekit-protocol = { path = "../../livekit-protocol", editable = true }
diff --git a/examples/wakeword_agent_dispatch/uv.lock b/examples/wakeword_agent_dispatch/uv.lock
new file mode 100644
index 00000000..7b462eee
--- /dev/null
+++ b/examples/wakeword_agent_dispatch/uv.lock
@@ -0,0 +1,2132 @@
+version = 1
+revision = 2
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+    { url = "https://files.pythonhosted.org/packages/51/47/3fa2286c3cb162c71cdb34c4224d5745a1ceceb391b2bd9b19b668a8d724/yarl-1.23.0-cp314-cp314t-win_arm64.whl", hash = "sha256:44bb7bef4ea409384e3f8bc36c063d77ea1b8d4a5b2706956c0d6695f07dcc25", size = 86041, upload-time = "2026-03-01T22:07:49.026Z" },
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+]
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+[[package]]
+name = "zipp"
+version = "3.23.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/30/21/093488dfc7cc8964ded15ab726fad40f25fd3d788fd741cc1c5a17d78ee8/zipp-3.23.1.tar.gz", hash = "sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110", size = 25965, upload-time = "2026-04-13T23:21:46.6Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/08/8a/0861bec20485572fbddf3dfba2910e38fe249796cb73ecdeb74e07eeb8d3/zipp-3.23.1-py3-none-any.whl", hash = "sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc", size = 10378, upload-time = "2026-04-13T23:21:45.386Z" },
+]
diff --git a/livekit-rtc/livekit/rtc/__init__.py b/livekit-rtc/livekit/rtc/__init__.py
index cc9c1b1e..35aa5241 100644
--- a/livekit-rtc/livekit/rtc/__init__.py
+++ b/livekit-rtc/livekit/rtc/__init__.py
@@ -39,6 +39,7 @@
 )
 from ._proto.video_frame_pb2 import VideoBufferType, VideoCodec, VideoRotation
 from .audio_frame import AudioFrame
+from .audio_ring_buffer import AudioRingBuffer
 from .audio_source import AudioSource
 from .audio_stream import AudioFrameEvent, AudioStream, NoiseCancellationOptions
 from .audio_filter import AudioFilter
@@ -137,6 +138,7 @@
     "VideoRotation",
     "stats",
     "AudioFrame",
+    "AudioRingBuffer",
     "AudioSource",
     "AudioStream",
     "NoiseCancellationOptions",
diff --git a/livekit-rtc/livekit/rtc/audio_ring_buffer.py b/livekit-rtc/livekit/rtc/audio_ring_buffer.py
new file mode 100644
index 00000000..a2532208
--- /dev/null
+++ b/livekit-rtc/livekit/rtc/audio_ring_buffer.py
@@ -0,0 +1,81 @@
+from __future__ import annotations
+
+import threading
+
+from .audio_frame import AudioFrame
+
+
+class AudioRingBuffer:
+    """Pre-allocated circular buffer for raw PCM audio data.
+
+    Stores int16 PCM samples in a fixed-size bytearray. Push is zero-allocation.
+    """
+
+    def __init__(self, max_duration: float, sample_rate: int, num_channels: int) -> None:
+        self._sample_rate = sample_rate
+        self._num_channels = num_channels
+        self._bytes_per_second = sample_rate * num_channels * 2  # int16
+        self._max_bytes = int(max_duration * self._bytes_per_second)
+        if self._max_bytes <= 0:
+            raise ValueError("max_duration must be positive")
+
+        self._buf = bytearray(self._max_bytes)
+        self._write_pos = 0
+        self._size = 0
+        self._lock = threading.Lock()
+
+    @property
+    def duration(self) -> float:
+        with self._lock:
+            return self._size / self._bytes_per_second
+
+    @property
+    def max_duration(self) -> float:
+        return self._max_bytes / self._bytes_per_second
+
+    def push(self, frame: AudioFrame) -> None:
+        data = frame.data.cast("b")
+        n = len(data)
+        if n == 0:
+            return
+
+        with self._lock:
+            if n >= self._max_bytes:
+                # frame larger than buffer — keep only the tail
+                self._buf[:] = data[n - self._max_bytes :]
+                self._write_pos = 0
+                self._size = self._max_bytes
+                return
+
+            end = self._write_pos + n
+            if end <= self._max_bytes:
+                self._buf[self._write_pos : end] = data
+            else:
+                first = self._max_bytes - self._write_pos
+                self._buf[self._write_pos : self._max_bytes] = data[:first]
+                self._buf[: n - first] = data[first:]
+
+            self._write_pos = end % self._max_bytes
+            self._size = min(self._size + n, self._max_bytes)
+
+    def capture(self) -> bytes:
+        """Snapshot the buffer contents and reset. Returns raw PCM bytes."""
+        with self._lock:
+            if self._size == 0:
+                return b""
+
+            read_pos = (self._write_pos - self._size) % self._max_bytes
+            if read_pos + self._size <= self._max_bytes:
+                data = bytes(self._buf[read_pos : read_pos + self._size])
+            else:
+                first = self._max_bytes - read_pos
+                data = bytes(self._buf[read_pos:]) + bytes(self._buf[: self._size - first])
+
+            self._write_pos = 0
+            self._size = 0
+            return data
+
+    def clear(self) -> None:
+        with self._lock:
+            self._write_pos = 0
+            self._size = 0
diff --git a/livekit-rtc/livekit/rtc/audio_source.py b/livekit-rtc/livekit/rtc/audio_source.py
index 63cc1a5d..c592ed77 100644
--- a/livekit-rtc/livekit/rtc/audio_source.py
+++ b/livekit-rtc/livekit/rtc/audio_source.py
@@ -16,12 +16,16 @@
 
 import time
 import asyncio
+from typing import TYPE_CHECKING
 
 from ._ffi_client import FfiHandle, FfiClient
 from ._proto import audio_frame_pb2 as proto_audio_frame
 from ._proto import ffi_pb2 as proto_ffi
 from .audio_frame import AudioFrame
 
+if TYPE_CHECKING:
+    from .audio_ring_buffer import AudioRingBuffer
+
 
 class AudioSource:
     """
@@ -69,6 +73,7 @@ def __init__(
         self._q_size = 0.0
         self._join_handle: asyncio.TimerHandle | None = None
         self._join_fut: asyncio.Future[None] | None = None
+        self._preconnect_buffer: AudioRingBuffer | None = None
 
     @property
     def sample_rate(self) -> int:
@@ -119,6 +124,9 @@ async def capture_frame(self, frame: AudioFrame) -> None:
         if frame.samples_per_channel == 0 or self._ffi_handle.disposed:
             return
 
+        if self._preconnect_buffer is not None:
+            self._preconnect_buffer.push(frame)
+
         now = time.monotonic()
         elapsed = 0.0 if self._last_capture == 0.0 else now - self._last_capture
         self._q_size += frame.samples_per_channel / self.sample_rate - elapsed
@@ -162,6 +170,9 @@ async def wait_for_playout(self) -> None:
 
         await asyncio.shield(self._join_fut)
 
+    def _set_preconnect_buffer(self, buf: AudioRingBuffer | None) -> None:
+        self._preconnect_buffer = buf
+
     def _release_waiter(self) -> None:
         if self._join_fut is None:
             return  # could be None when clear_queue is called
diff --git a/livekit-rtc/livekit/rtc/media_devices.py b/livekit-rtc/livekit/rtc/media_devices.py
index 4958a9de..07cc5e75 100644
--- a/livekit-rtc/livekit/rtc/media_devices.py
+++ b/livekit-rtc/livekit/rtc/media_devices.py
@@ -493,6 +493,21 @@ def open_input(
         # Queue from callback to async task
         q: asyncio.Queue[AudioFrame] = asyncio.Queue(maxsize=queue_capacity)
 
+        def _enqueue_frame(frame: AudioFrame) -> None:
+            try:
+                q.put_nowait(frame)
+            except asyncio.QueueFull:
+                # Capture must never surface QueueFull on the event loop thread.
+                # Drop the oldest frame so the published mic stays close to realtime.
+                try:
+                    q.get_nowait()
+                except asyncio.QueueEmpty:
+                    return
+                try:
+                    q.put_nowait(frame)
+                except asyncio.QueueFull:
+                    pass
+
         def _input_callback(
             indata: np.ndarray, frame_count: int, time_info: Any, status: Any
         ) -> None:
@@ -532,9 +547,7 @@ def _input_callback(
                         # Continue even if APM processing fails
                         pass
                 try:
-                    # Non-blocking: drop if full
-                    if not q.full():
-                        loop.call_soon_threadsafe(q.put_nowait, frame)
+                    loop.call_soon_threadsafe(_enqueue_frame, frame)
                 except Exception:
                     pass
 
diff --git a/livekit-rtc/livekit/rtc/participant.py b/livekit-rtc/livekit/rtc/participant.py
index 150477d5..d6a80a33 100644
--- a/livekit-rtc/livekit/rtc/participant.py
+++ b/livekit-rtc/livekit/rtc/participant.py
@@ -20,7 +20,7 @@
 import os
 import mimetypes
 import aiofiles
-from typing import List, Union, Callable, Dict, Awaitable, Optional, Mapping, cast, TypeVar
+from typing import TYPE_CHECKING, List, Union, Callable, Dict, Awaitable, Optional, Mapping, cast, TypeVar
 from abc import abstractmethod, ABC
 
 from ._ffi_client import FfiClient, FfiHandle
@@ -36,7 +36,7 @@
     ParticipantTrackPermission,
 )
 from ._utils import BroadcastQueue
-from .track import LocalTrack
+from .track import LocalAudioTrack, LocalTrack
 from .track_publication import (
     LocalTrackPublication,
     RemoteTrackPublication,
@@ -57,6 +57,9 @@
 from .data_track import LocalDataTrack
 from ._proto import data_track_pb2 as proto_data_track
 
+if TYPE_CHECKING:
+    from .room import Room
+
 
 class PublishTrackError(Exception):
     def __init__(self, message: str) -> None:
@@ -189,6 +192,7 @@ def __init__(
         self._room_queue = room_queue
         self._track_publications: dict[str, LocalTrackPublication] = {}  # type: ignore
         self._rpc_handlers: Dict[str, RpcHandler] = {}
+        self._room: Room | None = None
 
     @property
     def track_publications(self) -> Mapping[str, LocalTrackPublication]:
@@ -728,7 +732,11 @@ async def publish_data_track(
         return LocalDataTrack(cb.publish_data_track.track)
 
     async def publish_track(
-        self, track: LocalTrack, options: TrackPublishOptions = TrackPublishOptions()
+        self,
+        track: LocalTrack,
+        options: TrackPublishOptions = TrackPublishOptions(),
+        *,
+        preconnect_buffer_auto_send_to: str | None = None,
     ) -> LocalTrackPublication:
         """
         Publish a local track to the room.
@@ -736,6 +744,8 @@ async def publish_track(
         Args:
             track (LocalTrack): The track to publish.
             options (TrackPublishOptions, optional): Options for publishing the track.
+            preconnect_buffer_auto_send_to (str, optional): If set, automatically sends the
+                preconnect buffer when a participant with this identity becomes active.
 
         Returns:
             LocalTrackPublication: The publication of the published track.
@@ -763,11 +773,67 @@ async def publish_track(
             track._info.sid = track_publication.sid
             self._track_publications[track_publication.sid] = track_publication
 
+            if isinstance(track, LocalAudioTrack):
+                track._participant = self
+                track._publication_sid = track_publication.sid
+
+                if preconnect_buffer_auto_send_to:
+                    if track.has_preconnect_buffer:
+                        self._setup_preconnect_auto_send(
+                            track, preconnect_buffer_auto_send_to
+                        )
+                    else:
+                        logger.warning(
+                            "preconnect_buffer_auto_send_to set but no preconnect buffer "
+                            "is active — call track.start_preconnect_buffer() first"
+                        )
+
             queue.task_done()
             return track_publication
         finally:
             self._room_queue.unsubscribe(queue)
 
+    def _setup_preconnect_auto_send(
+        self, track: LocalAudioTrack, target_identity: str
+    ) -> None:
+        room = self._room
+        if room is None:
+            return
+
+        def _send_buffer(participant: RemoteParticipant) -> None:
+            if not track.has_preconnect_buffer:
+                return
+
+            task = asyncio.create_task(
+                track.send_preconnect_buffer(destination_identity=participant.identity)
+            )
+
+            def _on_done(task: asyncio.Task[None]) -> None:
+                try:
+                    task.result()
+                except Exception:
+                    logger.exception("failed to auto-send preconnect buffer")
+
+            task.add_done_callback(_on_done)
+
+        def _on_participant_active(participant: RemoteParticipant) -> None:
+            if participant.identity != target_identity:
+                return
+            if not track.has_preconnect_buffer:
+                return
+            room.off("participant_active", _on_participant_active)
+            _send_buffer(participant)
+
+        participant = room.remote_participants.get(target_identity)
+        if (
+            participant is not None
+            and participant.state == proto_participant.PARTICIPANT_STATE_ACTIVE
+        ):
+            _send_buffer(participant)
+            return
+
+        room.on("participant_active", _on_participant_active)
+
     async def unpublish_track(self, track_sid: str) -> None:
         """
         Unpublish a track from the room.
diff --git a/livekit-rtc/livekit/rtc/room.py b/livekit-rtc/livekit/rtc/room.py
index 7fd778ae..f1ff3ae8 100644
--- a/livekit-rtc/livekit/rtc/room.py
+++ b/livekit-rtc/livekit/rtc/room.py
@@ -525,6 +525,7 @@ def on_participant_connected(participant):
         self._local_participant = LocalParticipant(
             self._room_queue, cb.connect.result.local_participant
         )
+        self._local_participant._room = self
 
         for pt in cb.connect.result.participants:
             rp = self._create_remote_participant(pt.participant)
diff --git a/livekit-rtc/livekit/rtc/track.py b/livekit-rtc/livekit/rtc/track.py
index 8a6fe692..11b76f26 100644
--- a/livekit-rtc/livekit/rtc/track.py
+++ b/livekit-rtc/livekit/rtc/track.py
@@ -12,16 +12,24 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from __future__ import annotations
+
+import asyncio
 from typing import TYPE_CHECKING, List, Union
+
 from ._ffi_client import FfiHandle, FfiClient
 from ._proto import ffi_pb2 as proto_ffi
 from ._proto import track_pb2 as proto_track
 from ._proto import stats_pb2 as proto_stats
 
 if TYPE_CHECKING:
+    from .audio_ring_buffer import AudioRingBuffer
     from .audio_source import AudioSource
+    from .participant import LocalParticipant
     from .video_source import VideoSource
 
+PRE_CONNECT_AUDIO_BUFFER_TOPIC = "lk.agent.pre-connect-audio-buffer"
+
 
 class Track:
     def __init__(self, owned_info: proto_track.OwnedTrack):
@@ -68,26 +76,80 @@ async def get_stats(self) -> List[proto_stats.RtcStats]:
 
 
 class LocalAudioTrack(Track):
-    def __init__(self, info: proto_track.OwnedTrack):
+    def __init__(self, info: proto_track.OwnedTrack, source: AudioSource | None = None):
         super().__init__(info)
+        self._source = source
+        self._preconnect_buffer: AudioRingBuffer | None = None
+        self._participant: LocalParticipant | None = None
+        self._publication_sid: str | None = None
+        self._send_lock = asyncio.Lock()
 
     @staticmethod
-    def create_audio_track(name: str, source: "AudioSource") -> "LocalAudioTrack":
+    def create_audio_track(name: str, source: AudioSource) -> LocalAudioTrack:
         req = proto_ffi.FfiRequest()
         req.create_audio_track.name = name
         req.create_audio_track.source_handle = source._ffi_handle.handle
 
         resp = FfiClient.instance.request(req)
-        return LocalAudioTrack(resp.create_audio_track.track)
+        return LocalAudioTrack(resp.create_audio_track.track, source=source)
 
-    def mute(self):
+    @property
+    def has_preconnect_buffer(self) -> bool:
+        return self._preconnect_buffer is not None
+
+    def start_preconnect_buffer(self, *, max_duration: float = 10.0) -> None:
+        if self._source is None:
+            raise RuntimeError("track has no audio source")
+
+        from .audio_ring_buffer import AudioRingBuffer
+
+        self._preconnect_buffer = AudioRingBuffer(
+            max_duration=max_duration,
+            sample_rate=self._source.sample_rate,
+            num_channels=self._source.num_channels,
+        )
+        self._source._set_preconnect_buffer(self._preconnect_buffer)
+
+    def stop_preconnect_buffer(self) -> None:
+        if self._source is not None:
+            self._source._set_preconnect_buffer(None)
+        self._preconnect_buffer = None
+
+    async def send_preconnect_buffer(self, *, destination_identity: str) -> None:
+        if self._participant is None:
+            raise RuntimeError("track is not published")
+        if self._preconnect_buffer is None:
+            raise RuntimeError("preconnect buffer is not active")
+
+        async with self._send_lock:
+            data = self._preconnect_buffer.capture()
+            if not data:
+                return
+
+            assert self._source is not None
+            writer = await self._participant.stream_bytes(
+                "preconnect-buffer",
+                topic=PRE_CONNECT_AUDIO_BUFFER_TOPIC,
+                mime_type="application/octet-stream",
+                destination_identities=[destination_identity],
+                attributes={
+                    "trackId": self._publication_sid or self.sid,
+                    "sampleRate": str(self._source.sample_rate),
+                    "channels": str(self._source.num_channels),
+                },
+            )
+
+            await writer.write(data)
+            await writer.aclose()
+
+    def mute(self) -> None:
         req = proto_ffi.FfiRequest()
         req.local_track_mute.track_handle = self._ffi_handle.handle
         req.local_track_mute.mute = True
         FfiClient.instance.request(req)
         self._info.muted = True
 
-    def unmute(self):
+    def unmute(self) -> None:
         req = proto_ffi.FfiRequest()
         req.local_track_mute.track_handle = self._ffi_handle.handle
         req.local_track_mute.mute = False