专做零食的网站平面设计画图软件

room = LiveKit.create(appContext = applicationContext)
room.connect(wsUrl, token)

// 发送消息
coroutineScope.launch {val data: ByteArray = //...// 发送有损消息给全员，LOSSY表示数据发送一次，无顺序保证。这对于优先考虑交付速度的实时更新来说是理想的选择。room.localParticipant.publishData(data, DataPublishReliability.LOSSY)// 发送可靠的消息给指定成员，RELIABLE表示发送数据时最多重试3次并保证顺序。适合优先保证交付而不是抵延迟的场景，例如室内聊天。val identities = listOf(Participant.Identity("alice"),Participant.Identity("bob"),)room.localParticipant.publishData(data, DataPublishReliability.RELIABLE, identities)
}// 处理接收到的消息
coroutineScope.launch {room.events.collect { event ->if(event is RoomEvent.DataReceived) {// Process data}}
}

// Turns camera track on
room.localParticipant.setCameraEnabled(true)// Turns microphone track on
room.localParticipant.setMicrophoneEnabled(true)

// Create an intent launcher for screen capture
// This *must* be registered prior to onCreate(), ideally as an instance val
val screenCaptureIntentLauncher = registerForActivityResult(ActivityResultContracts.StartActivityForResult()
) { result ->val resultCode = result.resultCodeval data = result.dataif (resultCode != Activity.RESULT_OK || data == null) {return@registerForActivityResult}lifecycleScope.launch {room.localParticipant.setScreenShareEnabled(true, data)}
}// When it's time to enable the screen share, perform the following
val mediaProjectionManager =getSystemService(MEDIA_PROJECTION_SERVICE) as MediaProjectionManager
screenCaptureIntentLauncher.launch(mediaProjectionManager.createScreenCaptureIntent())

// Option 1: set room defaults
val options = RoomOptions(audioTrackCaptureDefaults = LocalAudioTrackOptions(noiseSuppression = true,echoCancellation = true,autoGainControl = true,highPassFilter = true,typingNoiseDetection = true,),videoTrackCaptureDefaults = LocalVideoTrackOptions(deviceId = "",position = CameraPosition.FRONT,captureParams = VideoPreset169.H1080.capture,),audioTrackPublishDefaults = AudioTrackPublishDefaults(audioBitrate = 20_000,dtx = true,),videoTrackPublishDefaults = VideoTrackPublishDefaults(videoEncoding = VideoPreset169.H1080.encoding,)
)
var room = LiveKit.create(...roomOptions = options,
)// Option 2: create tracks manually
val localParticipant = room.localParticipant
val audioTrack = localParticipant.createAudioTrack("audio")
localParticipant.publishAudioTrack(audioTrack)val videoTrack = localParticipant.createVideoTrack("video", LocalVideoTrackOptions(CameraPosition.FRONT,VideoPreset169.H1080.capture
))
localParticipant.publishVideoTrack(videoTrack)

coroutineScope.launch {room.events.collect { event ->when(event) {is RoomEvent.TrackSubscribed -> {// Audio tracks are automatically played.val videoTrack = event.track as? VideoTrack ?: return@collectvideoTrack.addRenderer(videoRenderer)}else -> {}}}
}

# server.py
import os
from livekit import api
from flask import Flaskapp = Flask(__name__)@app.route('/getToken')
def getToken():token = api.AccessToken(os.getenv('LIVEKIT_API_KEY'), os.getenv('LIVEKIT_API_SECRET')) \.with_identity("identity") \.with_name("my name") \.with_grants(api.VideoGrants(room_join=True,room="my-room",))return token.to_jwt()

livekit-cli token create   --api-key devkey --api-secret secret   --join --room test_room --identity test_user   --valid-for 24h

async def entrypoint(ctx: JobContext):async def my_shutdown_hook():# save user state...ctx.add_shutdown_callback(my_shutdown_hook)

import asynciofrom livekit.agents import AutoSubscribe, JobContext, WorkerOptions, cli, llm
from livekit.agents.voice_assistant import VoiceAssistant
from livekit.plugins import deepgram, openai, silero# This function is the entrypoint for the agent.
async def entrypoint(ctx: JobContext):# Create an initial chat context with a system promptinitial_ctx = llm.ChatContext().append(role="system",text=("You are a voice assistant created by LiveKit. Your interface with users will be voice. ""You should use short and concise responses, and avoiding usage of unpronouncable punctuation."),)# Connect to the LiveKit room# indicating that the agent will only subscribe to audio tracksawait ctx.connect(auto_subscribe=AutoSubscribe.AUDIO_ONLY)# VoiceAssistant is a class that creates a full conversational AI agent.# See https://github.com/livekit/agents/tree/main/livekit-agents/livekit/agents/voice_assistant# for details on how it works.assistant = VoiceAssistant(vad=silero.VAD.load(),stt=deepgram.STT(),llm=openai.LLM(),tts=openai.TTS(),chat_ctx=initial_ctx,)# Start the voice assistant with the LiveKit roomassistant.start(ctx.room)await asyncio.sleep(1)# Greets the user with an initial messageawait assistant.say("Hey, how can I help you today?", allow_interruptions=True)if __name__ == "__main__":# Initialize the worker with the entrypointcli.run_app(WorkerOptions(entrypoint_fnc=entrypoint))

opts = WorkerOptions(...# when omitted, the default is JobType.JT_ROOMworker_type=JobType.JT_ROOM,
)

@ctx.room.on("track_subscribed")
def on_track_subscribed(track: rtc.Track,publication: rtc.TrackPublication,participant: rtc.RemoteParticipant,
):# 监听音频流if track.kind == rtc.TrackKind.KIND_AUDIO:audio_stream = rtc.AudioStream(track)async for event in audio_stream:do_something(event.frame)

SAMPLE_RATE = 48000
NUM_CHANNELS = 1 # mono audio
AMPLITUDE = 2 ** 8 - 1
SAMPLES_PER_CHANNEL = 480 # 10ms at 48kHzasync def entrypoint(ctx: JobContext):await ctx.connect()source = rtc.AudioSource(SAMPLE_RATE, NUM_CHANNELS)track = rtc.LocalAudioTrack.create_audio_track("example-track", source)# since the agent is a participant, our audio I/O is its "microphone"options = rtc.TrackPublishOptions(source=rtc.TrackSource.SOURCE_MICROPHONE)# ctx.agent is an alias for ctx.room.local_participantpublication = await ctx.agent.publish_track(track, options)frequency = 440async def _sinewave():audio_frame = rtc.AudioFrame.create(SAMPLE_RATE, NUM_CHANNELS, SAMPLES_PER_CHANNEL)audio_data = np.frombuffer(audio_frame.data, dtype=np.int16)time = np.arange(SAMPLES_PER_CHANNEL) / SAMPLE_RATEtotal_samples = 0while True:time = (total_samples + np.arange(SAMPLES_PER_CHANNEL)) / SAMPLE_RATEsinewave = (AMPLITUDE * np.sin(2 * np.pi * frequency * time)).astype(np.int16)np.copyto(audio_data, sinewave)# send this frame to the trackawait source.capture_frame(frame)total_samples += samples_per_channel

@room.on("data_received")
def on_data_received(data: rtc.DataPacket):logging.info("received data from %s: %s", data.participant.identity, data.data)# string payload will be encoded to bytes with UTF-8
await room.local_participant.publish_data("my payload",reliable=True,destination_identities=["identity1", "identity2"],topic="topic1")