From 1720b783ceca728f728d074f742538fb0ff60385 Mon Sep 17 00:00:00 2001 From: ben Date: Mon, 25 Nov 2024 20:10:16 -0800 Subject: [PATCH 01/29] LiveKit Pipeline Agent (#4) * init processors * fix image append for chat messages * add pre tts cb * stash non-functional worker changes * add complete flag parsing worker * stash worker changes * update worker.py to handle message context correctly * draft worker -- currently mismanages chat ctx * stash draft delta changes * working worker on push to talk happy path * final working worker on push to talk * refactor append image * updated video frame processing * rm text processor * working draft main * draft working poetry --- software/main.py | 23 +- software/poetry.lock | 3368 ++++++++++++----- software/pyproject.toml | 2 +- software/source/server/livekit/__init__.py | 0 .../server/livekit/assistant_functions.py | 48 + software/source/server/livekit/multimodal.py | 1 + .../source/server/livekit/transcriptions.py | 14 + .../source/server/livekit/video_processor.py | 50 + software/source/server/livekit/worker.py | 286 +- 9 files changed, 2715 insertions(+), 1077 deletions(-) create mode 100644 software/source/server/livekit/__init__.py create mode 100644 software/source/server/livekit/assistant_functions.py create mode 100644 software/source/server/livekit/transcriptions.py create mode 100644 software/source/server/livekit/video_processor.py diff --git a/software/main.py b/software/main.py index 9873a75..017c204 100644 --- a/software/main.py +++ b/software/main.py @@ -160,8 +160,7 @@ def run( if server == "livekit": - ### LIVEKIT SERVER - + ### LIVEKIT SERVER def run_command(command): subprocess.run(command, shell=True, check=True) @@ -173,7 +172,7 @@ def run( livekit_thread = threading.Thread( target=run_command, args=(command,) ) - time.sleep(7) + livekit_thread.start() threads.append(livekit_thread) @@ -230,7 +229,6 @@ def run( signal.signal(signal.SIGTERM, signal_handler) try: - # Verify the server is running for attempt in range(10): try: @@ -246,9 +244,20 @@ def run( ### DISPLAY QR CODE if qr: + token = str(api.AccessToken('devkey', 'secret') \ + .with_identity("You") \ + .with_name("You") \ + .with_grants(api.VideoGrants( + room_join=True, + room="my-room", + )).to_jwt()) + def display_qr_code(): time.sleep(10) - content = json.dumps({"livekit_server": url}) + content = json.dumps({ + "livekit_server": url, + "token": token + }) qr_code = segno.make(content) qr_code.terminal(compact=True) @@ -266,8 +275,8 @@ def run( os.environ['01_STT'] = interpreter.stt token = str(api.AccessToken('devkey', 'secret') \ - .with_identity("identity") \ - .with_name("my name") \ + .with_identity("You") \ + .with_name("You") \ .with_grants(api.VideoGrants( room_join=True, room="my-room", diff --git a/software/poetry.lock b/software/poetry.lock index 361a0f2..dd4ea71 100644 --- a/software/poetry.lock +++ b/software/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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-content-hash = "a906cd7a4bdf3a74bcefe554836dd715c76d398c897f64d2b4699c5122ff578e" +content-hash = "9cb16968b09760d83cbbc8e26ffbb820efb5dc9681626548a464eb5cc193627f" diff --git a/software/pyproject.toml b/software/pyproject.toml index d3eba2b..921a851 100644 --- a/software/pyproject.toml +++ b/software/pyproject.toml @@ -19,7 +19,7 @@ livekit-plugins-openai = "^0.10.1" livekit-plugins-silero = "^0.7.1" livekit-plugins-elevenlabs = "^0.7.5" segno = "^1.6.1" -open-interpreter = {extras = ["os", "server"], version = "^0.3.12"} # You should add a "browser" extra, so selenium isn't in the main package +open-interpreter = {extras = ["os", "server"], version = "^0.3.12"} ngrok = "^1.4.0" realtimetts = {extras = ["all"], version = "^0.4.5"} realtimestt = "^0.2.41" diff --git a/software/source/server/livekit/__init__.py b/software/source/server/livekit/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/software/source/server/livekit/assistant_functions.py b/software/source/server/livekit/assistant_functions.py new file mode 100644 index 0000000..0c80914 --- /dev/null +++ b/software/source/server/livekit/assistant_functions.py @@ -0,0 +1,48 @@ +import aiohttp +from typing import Annotated +from livekit.agents import llm + +from datetime import datetime + +# Define the path to the log file +LOG_FILE_PATH = 'assistant_functions.txt' + +def log_message(message: str): + """Append a message to the log file with a timestamp.""" + timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S') + with open(LOG_FILE_PATH, 'a') as log_file: + log_file.write(f"{timestamp} - {message}\n") + +# first define a class that inherits from llm.FunctionContext +class AssistantFnc(llm.FunctionContext): + # the llm.ai_callable decorator marks this function as a tool available to the LLM + # by default, it'll use the docstring as the function's description + @llm.ai_callable() + async def get_weather( + self, + # by using the Annotated type, arg description and type are available to the LLM + location: Annotated[ + str, llm.TypeInfo(description="The location to get the weather for") + ], + ) -> str: + """Called when the user asks about the weather. This function will return the weather for the given location.""" + log_message(f"getting weather for {location}") + url = f"https://wttr.in/{location}?format=%C+%t" + + async with aiohttp.ClientSession() as session: + async with session.get(url) as response: + log_message(f"response: {response}") + if response.status == 200: + weather_data = await response.text() + + content: str = f"The weather in {location} is {weather_data}." + log_message(f"content: {content}") + + # response from the function call is returned to the LLM + # as a tool response. The LLM's response will include this data + return content + + else: + log_message(f"Failed to get weather data, status code: {response.status}") + return f"Failed to get weather data, status code: {response.status}" + diff --git a/software/source/server/livekit/multimodal.py b/software/source/server/livekit/multimodal.py index 25e3942..a9fe1f3 100644 --- a/software/source/server/livekit/multimodal.py +++ b/software/source/server/livekit/multimodal.py @@ -82,6 +82,7 @@ async def entrypoint(ctx: JobContext): await ctx.connect(auto_subscribe=AutoSubscribe.AUDIO_ONLY) participant = await ctx.wait_for_participant() + fnc_ctx = AssistantFnc() openai_api_key = os.getenv("OPENAI_API_KEY") model = openai.realtime.RealtimeModel( diff --git a/software/source/server/livekit/transcriptions.py b/software/source/server/livekit/transcriptions.py new file mode 100644 index 0000000..7a572c2 --- /dev/null +++ b/software/source/server/livekit/transcriptions.py @@ -0,0 +1,14 @@ +from livekit.agents import stt, transcription + +async def _forward_transcription( + stt_stream: stt.SpeechStream, + stt_forwarder: transcription.STTSegmentsForwarder, +): + """Forward the transcription to the client and log the transcript in the console""" + async for ev in stt_stream: + stt_forwarder.update(ev) + if ev.type == stt.SpeechEventType.INTERIM_TRANSCRIPT: + print(ev.alternatives[0].text, end="") + elif ev.type == stt.SpeechEventType.FINAL_TRANSCRIPT: + print("\n") + print(" -> ", ev.alternatives[0].text) \ No newline at end of file diff --git a/software/source/server/livekit/video_processor.py b/software/source/server/livekit/video_processor.py new file mode 100644 index 0000000..1dc7951 --- /dev/null +++ b/software/source/server/livekit/video_processor.py @@ -0,0 +1,50 @@ +from livekit.rtc import VideoStream +from livekit.agents import JobContext +from datetime import datetime +from livekit.agents.pipeline import VoicePipelineAgent + + +from livekit.rtc import VideoFrame +import asyncio + +# Define the path to the log file +LOG_FILE_PATH = 'video_processor.txt' + +def log_message(message: str): + """Append a message to the log file with a timestamp.""" + timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S') + with open(LOG_FILE_PATH, 'a') as log_file: + log_file.write(f"{timestamp} - {message}\n") + +class RemoteVideoProcessor: + """Processes video frames from a remote participant's video stream.""" + + def __init__(self, video_stream: VideoStream, job_ctx: JobContext): + self.video_stream = video_stream + self.job_ctx = job_ctx + self.current_frame = None # Store the latest VideoFrame + self.lock = asyncio.Lock() + + + async def process_frames(self): + log_message("Starting to process remote video frames.") + async for frame_event in self.video_stream: + try: + video_frame = frame_event.frame + timestamp = frame_event.timestamp_us + rotation = frame_event.rotation + + # Store the current frame safely + log_message(f"Received frame: width={video_frame.width}, height={video_frame.height}, type={video_frame.type}") + async with self.lock: + self.current_frame = video_frame + + except Exception as e: + log_message(f"Error processing frame: {e}") + + async def get_current_frame(self) -> VideoFrame | None: + """Retrieve the current VideoFrame.""" + log_message("called get current frame") + async with self.lock: + log_message("retrieving current frame: " + str(self.current_frame)) + return self.current_frame \ No newline at end of file diff --git a/software/source/server/livekit/worker.py b/software/source/server/livekit/worker.py index 1924f00..0e84e2b 100644 --- a/software/source/server/livekit/worker.py +++ b/software/source/server/livekit/worker.py @@ -1,17 +1,36 @@ import asyncio -import copy +import numpy as np +import sys import os -from livekit.agents import AutoSubscribe, JobContext, WorkerOptions, cli -from livekit.agents.llm import ChatContext, ChatMessage +from datetime import datetime +from typing import Literal, Awaitable + +from livekit.agents import JobContext, WorkerOptions, cli +from livekit.agents.transcription import STTSegmentsForwarder +from livekit.agents.llm import ChatContext from livekit import rtc -from livekit.agents.voice_assistant import VoiceAssistant +from livekit.agents.pipeline import VoicePipelineAgent from livekit.plugins import deepgram, openai, silero, elevenlabs, cartesia +from livekit.agents.llm.chat_context import ChatContext, ChatImage, ChatMessage +from livekit.agents.llm import LLMStream + +from source.server.livekit.video_processor import RemoteVideoProcessor + +from source.server.livekit.transcriptions import _forward_transcription + from dotenv import load_dotenv -import sys -import numpy as np load_dotenv() +# Define the path to the log file +LOG_FILE_PATH = 'worker.txt' + +def log_message(message: str): + """Append a message to the log file with a timestamp.""" + timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S') + with open(LOG_FILE_PATH, 'a') as log_file: + log_file.write(f"{timestamp} - {message}\n") + start_message = """Hi! You can hold the white circle below to speak to me. Try asking what I can do.""" @@ -19,16 +38,25 @@ Try asking what I can do.""" # This function is the entrypoint for the agent. async def entrypoint(ctx: JobContext): # Create an initial chat context with a system prompt - initial_ctx = ChatContext().append( + initial_chat_ctx = ChatContext().append( role="system", text=( - "" # Open Interpreter handles this. + "Only take into context the user's image if their message is relevant or pertaining to the image. Otherwise just keep in context that the image is present but do not acknowledge or mention it in your response." # Open Interpreter handles this. ), ) # Connect to the LiveKit room - await ctx.connect(auto_subscribe=AutoSubscribe.AUDIO_ONLY) + await ctx.connect() + + # Create chat manager + chat = rtc.ChatManager(ctx.room) + # Initialize RemoteVideoProcessor + remote_video_processor = None + + ############################################################ + # publish agent image + ############################################################ # Create a black background with a white circle width, height = 640, 480 image_np = np.zeros((height, width, 4), dtype=np.uint8) @@ -57,16 +85,15 @@ async def entrypoint(ctx: JobContext): # Start publishing the static image asyncio.create_task(publish_static_image()) - # VoiceAssistant is a class that creates a full conversational AI agent. - # See https://github.com/livekit/agents/blob/main/livekit-agents/livekit/agents/voice_assistant/assistant.py - # for details on how it works. - + ############################################################ + # initialize voice agent pipeline + ############################################################ interpreter_server_host = os.getenv('INTERPRETER_SERVER_HOST', 'localhost') interpreter_server_port = os.getenv('INTERPRETER_SERVER_PORT', '8000') - base_url = f"http://{interpreter_server_host}:{interpreter_server_port}/openai" + base_url = f"http://{interpreter_server_host}:{interpreter_server_port}/" # For debugging - # base_url = "http://127.0.0.1:8000/openai" + base_url = "http://127.0.0.1:8000/" open_interpreter = openai.LLM( model="open-interpreter", base_url=base_url, api_key="x" @@ -74,6 +101,8 @@ async def entrypoint(ctx: JobContext): tts_provider = os.getenv('01_TTS', '').lower() stt_provider = os.getenv('01_STT', '').lower() + tts_provider='elevenlabs' + stt_provider='deepgram' # Add plugins here if tts_provider == 'openai': @@ -90,41 +119,225 @@ async def entrypoint(ctx: JobContext): else: raise ValueError(f"Unsupported STT provider: {stt_provider}. Please set 01_STT environment variable to 'deepgram'.") - assistant = VoiceAssistant( - vad=silero.VAD.load(), # Voice Activity Detection - stt=stt, # Speech-to-Text - llm=open_interpreter, # Language Model - tts=tts, # Text-to-Speech - chat_ctx=initial_ctx, # Chat history context - ) + ############################################################ + # initialize voice assistant states + ############################################################ + push_to_talk = True + current_message: ChatMessage = ChatMessage(role='user') + submitted_message: ChatMessage = ChatMessage(role='user') + video_muted = False - chat = rtc.ChatManager(ctx.room) + tasks = [] + ############################################################ + # before_llm_cb + ############################################################ + def _before_llm_cb( + agent: VoicePipelineAgent, + chat_ctx: ChatContext + ) -> Awaitable[LLMStream] | Literal[False]: + nonlocal push_to_talk + nonlocal remote_video_processor + nonlocal current_message + nonlocal submitted_message + log_message(f"[before_llm_cb] chat_ctx before we perform any processing: {chat_ctx}") + + + if push_to_talk: + last_message = chat_ctx.messages[-1] + + if submitted_message and isinstance(last_message.content, str): + log_message(f"[before_llm_cb] submitted_message: {submitted_message}") + + # Find where submitted_messages ends in last_message + submitted_end_idx = 0 + while isinstance(submitted_message.content, str) and submitted_message.content[submitted_end_idx] == last_message.content[submitted_end_idx]: + submitted_end_idx += 1 + if submitted_end_idx == len(submitted_message.content): + break + + # Remove the submitted message from the accumulated messages + log_message(f"[before_llm_cb] submitted_end_idx: {submitted_end_idx}") + + # Take messages after the submitted message + current_message = ChatMessage(role=last_message.role, content=last_message.content[submitted_end_idx:]) + log_message(f"[before_llm_cb] current_message after removing submitted_message: {current_message}") + else: + current_message = ChatMessage(role=last_message.role, content=last_message.content) + log_message(f"[before_llm_cb] current_message after removing submitted_message: {current_message}") + + # Continue without invoking LLM immediately + return False + + else: + async def process_query(): + if remote_video_processor and not video_muted: + video_frame = await remote_video_processor.get_current_frame() + if video_frame: + chat_ctx.append(role="user", images=[ChatImage(image=video_frame)]) + else: + log_message("[before_llm_cb] No video frame available") + + return agent.llm.chat( + chat_ctx=chat_ctx, + fnc_ctx=agent.fnc_ctx, + ) + + return process_query() + + ############################################################ + # on_message_received implementation + ############################################################ + async def _on_message_received(msg: str): + nonlocal push_to_talk + nonlocal remote_video_processor + nonlocal current_message + nonlocal submitted_message + + if msg == "{COMPLETE}": + chat_ctx = assistant.chat_ctx + log_message(f"[on_message_received] copied chat_ctx: {chat_ctx}") - async def _answer_from_text(text: str): - chat_ctx = copy.deepcopy(assistant._chat_ctx) - chat_ctx.messages.append(ChatMessage(role="user", content=text)) + # append image if available + if remote_video_processor and not video_muted: + video_frame = await remote_video_processor.get_current_frame() + if video_frame: + chat_ctx.append(role="user", images=[ChatImage(image=video_frame)]) + log_message(f"[on_message_received] appended image: {video_frame} to chat_ctx: {chat_ctx}") - stream = open_interpreter.chat(chat_ctx=chat_ctx) - await assistant.say(stream) + if isinstance(current_message.content, str): + chat_ctx.append(role=current_message.role, text=current_message.content) + # extend existing submitted_message content with the new message content + if submitted_message and isinstance(submitted_message.content, str): + submitted_message.content += current_message.content + else: + submitted_message = current_message + log_message(f"[on_message_received] appended message: {current_message.content}") + log_message(f"[on_message_received] submitted_message is now {submitted_message}") + log_message(f"[on_message_received] chat_ctx is now {chat_ctx}") + elif isinstance(current_message.content, ChatImage): + chat_ctx.append(role=current_message.role, images=[current_message.content]) + log_message(f"[on_message_received] appended message: {current_message.content}") + log_message(f"[on_message_received] submitted_messages is now {submitted_message}") + log_message(f"[on_message_received] chat_ctx is now {chat_ctx}") + else: + log_message(f"[on_message_received] Unsupported message content type: {current_message}") + + current_message = ChatMessage(role='user') + log_message(f"[on_message_received] current_message reset to {current_message}") + + # Generate a response + stream = assistant.llm.chat(chat_ctx=chat_ctx) + await assistant.say(stream) + return + + if msg == "{REQUIRE_START_ON}": + push_to_talk = True + return + + if msg == "{REQUIRE_START_OFF}": + push_to_talk = False + return + + # we copy chat_ctx here to handle the actual message content being sent to the LLM by the user + # _on_message_received is called once with the message request and then once with the {COMPLETE} message to trigger the actual LLM call + # so this copy is our default case where we just append the user's message to the chat_ctx + chat_ctx = assistant.chat_ctx + chat_ctx.append(role="user", text=msg) + log_message(f"[on_message_received] appended message: {msg} to chat_ctx: {chat_ctx}") + + return + + ############################################################ + # on_message_received callback + ############################################################ @chat.on("message_received") def on_chat_received(msg: rtc.ChatMessage): - if not msg.message: - return - asyncio.create_task(_answer_from_text(msg.message)) + log_message(f"Chat message received: {msg.message}") + if msg.message: + asyncio.create_task(_on_message_received(msg.message)) + + ############################################################ + # transcribe participant track + ############################################################ + async def transcribe_track(participant: rtc.RemoteParticipant, track: rtc.Track): + audio_stream = rtc.AudioStream(track) + stt_forwarder = STTSegmentsForwarder( + room=ctx.room, participant=participant, track=track + ) + stt_stream = stt.stream() + stt_task = asyncio.create_task( + _forward_transcription(stt_stream, stt_forwarder) + ) + tasks.append(stt_task) + + async for ev in audio_stream: + stt_stream.push_frame(ev.frame) + + ############################################################ + # on_track_subscribed callback + ############################################################ + @ctx.room.on("track_subscribed") + def on_track_subscribed( + track: rtc.Track, + publication: rtc.TrackPublication, + participant: rtc.RemoteParticipant, + ): + log_message(f"Track subscribed: {track.kind}") + if track.kind == rtc.TrackKind.KIND_AUDIO: + tasks.append(asyncio.create_task(transcribe_track(participant, track))) + + if track.kind == rtc.TrackKind.KIND_VIDEO: + nonlocal remote_video_processor + + remote_video_stream = rtc.VideoStream(track=track, format=rtc.VideoBufferType.RGBA) + remote_video_processor = RemoteVideoProcessor(video_stream=remote_video_stream, job_ctx=ctx) + log_message("remote video processor." + str(remote_video_processor)) + asyncio.create_task(remote_video_processor.process_frames()) + + ############################################################ + # on track muted callback + ############################################################ + @ctx.room.on("track_muted") + def on_track_muted(participant: rtc.RemoteParticipant, publication: rtc.TrackPublication): + nonlocal video_muted + if publication.kind == rtc.TrackKind.KIND_VIDEO: + video_muted = True + log_message(f"Track muted: {publication.kind}") + + + + ############################################################ + # on track unmuted callback + ############################################################ + @ctx.room.on("track_unmuted") + def on_track_unmuted(participant: rtc.RemoteParticipant, publication: rtc.TrackPublication): + nonlocal video_muted + if publication.kind == rtc.TrackKind.KIND_VIDEO: + video_muted = False + log_message(f"Track unmuted: {publication.kind}") + + ############################################################ # Start the voice assistant with the LiveKit room - assistant.start(ctx.room) + ############################################################ + assistant = VoicePipelineAgent( + vad=silero.VAD.load(), + stt=stt, + llm=open_interpreter, + tts=tts, + chat_ctx=initial_chat_ctx, + before_llm_cb=_before_llm_cb, + ) + assistant.start(ctx.room) await asyncio.sleep(1) # Greets the user with an initial message - await assistant.say(start_message, - allow_interruptions=True) + await assistant.say(start_message, allow_interruptions=True) -def main(livekit_url): - +def main(livekit_url: str): # Workers have to be run as CLIs right now. # So we need to simualte running "[this file] dev" @@ -132,6 +345,7 @@ def main(livekit_url): # and 'dev' as the second argument sys.argv = [str(__file__), 'dev'] + # livekit_url = "ws://localhost:7880" # Initialize the worker with the entrypoint cli.run_app( WorkerOptions(entrypoint_fnc=entrypoint, api_key="devkey", api_secret="secret", ws_url=livekit_url) From de2a7cb129093a8a58dcb96281304e23c67b4f10 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Tue, 26 Nov 2024 12:11:13 -0800 Subject: [PATCH 02/29] add token in qr --- software/main.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/software/main.py b/software/main.py index 9873a75..4ca306f 100644 --- a/software/main.py +++ b/software/main.py @@ -246,9 +246,17 @@ def run( ### DISPLAY QR CODE if qr: + participant_token = str(api.AccessToken('devkey', 'secret') \ + .with_identity("Participant") \ + .with_name("You") \ + .with_grants(api.VideoGrants( + room_join=True, + room="my-room", + )).to_jwt()) + def display_qr_code(): time.sleep(10) - content = json.dumps({"livekit_server": url}) + content = json.dumps({"livekit_server": url, "token": participant_token}) qr_code = segno.make(content) qr_code.terminal(compact=True) From 76f0847a98e26bcaa60d4c39fca755aba68c3b36 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Tue, 26 Nov 2024 12:11:24 -0800 Subject: [PATCH 03/29] fix dependency issues --- software/poetry.lock | 2565 +++++++++++++++++++-------------------- software/pyproject.toml | 3 +- 2 files changed, 1240 insertions(+), 1328 deletions(-) diff --git a/software/poetry.lock b/software/poetry.lock index 361a0f2..40f0290 100644 --- a/software/poetry.lock +++ b/software/poetry.lock @@ -38,112 +38,98 @@ files = [ [[package]] name = "aiohttp" -version = "3.10.10" 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b/software/pyproject.toml index d3eba2b..1f4f5e4 100644 --- a/software/pyproject.toml +++ b/software/pyproject.toml @@ -18,6 +18,7 @@ livekit-plugins-deepgram = "^0.6.7" livekit-plugins-openai = "^0.10.1" livekit-plugins-silero = "^0.7.1" livekit-plugins-elevenlabs = "^0.7.5" +livekit-plugins-cartesia = "^0.4.2" segno = "^1.6.1" open-interpreter = {extras = ["os", "server"], version = "^0.3.12"} # You should add a "browser" extra, so selenium isn't in the main package ngrok = "^1.4.0" @@ -26,7 +27,7 @@ realtimestt = "^0.2.41" pynput = "^1.7.7" yaspin = "^3.0.2" pywebview = "^5.2" -livekit-plugins-cartesia = "^0.4.2" +resampy = "^0.4.2" [build-system] requires = ["poetry-core"] From 2f53be05db2791c11b69e93a44cafebee1d40148 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 9 Dec 2024 13:34:44 -0800 Subject: [PATCH 04/29] update livekit server and profile docs --- docs/server/configure.mdx | 76 +++++++++++++++++---------------------- docs/server/livekit.mdx | 18 ++++++---- 2 files changed, 45 insertions(+), 49 deletions(-) diff --git a/docs/server/configure.mdx b/docs/server/configure.mdx index e40efd6..6319374 100644 --- a/docs/server/configure.mdx +++ b/docs/server/configure.mdx @@ -23,9 +23,9 @@ poetry run 01 --profile ### Standard Profiles -`default.py` is the default profile that is used when no profile is specified. The default TTS is OpenAI. +`default.py` is the default profile that is used when no profile is specified. The default TTS service is Elevenlabs. -`fast.py` uses elevenlabs and groq, which are the fastest providers. +`fast.py` uses Cartesia for TTS and Cerebras Llama3.1-8b, which are the fastest providers. `local.py` uses coqui TTS and runs the --local explorer from Open Interpreter. @@ -46,38 +46,16 @@ poetry run 01 --profile ### Example Profile ````python -from interpreter import AsyncInterpreter -interpreter = AsyncInterpreter() +from interpreter import Interpreter +interpreter = Interpreter() # This is an Open Interpreter compatible profile. # Visit https://01.openinterpreter.com/profile for all options. -# 01 supports OpenAI, ElevenLabs, and Coqui (Local) TTS providers +# 01 supports OpenAI, ElevenLabs, Cartesia, and Coqui (Local) TTS providers # {OpenAI: "openai", ElevenLabs: "elevenlabs", Coqui: "coqui"} -interpreter.tts = "openai" - -# Connect your 01 to a language model -interpreter.llm.model = "gpt-4o" -interpreter.llm.context_window = 100000 -interpreter.llm.max_tokens = 4096 -# interpreter.llm.api_key = "" - -# Tell your 01 where to find and save skills -interpreter.computer.skills.path = "./skills" - -# Extra settings -interpreter.computer.import_computer_api = True -interpreter.computer.import_skills = True -interpreter.computer.run("python", "computer") # This will trigger those imports -interpreter.auto_run = True -interpreter.loop = True -interpreter.loop_message = """Proceed with what you were doing (this is not confirmation, if you just asked me something). You CAN run code on my machine. If you want to run code, start your message with "```"! If the entire task is done, say exactly 'The task is done.' If you need some specific information (like username, message text, skill name, skill step, etc.) say EXACTLY 'Please provide more information.' If it's impossible, say 'The task is impossible.' (If I haven't provided a task, say exactly 'Let me know what you'd like to do next.') Otherwise keep going. CRITICAL: REMEMBER TO FOLLOW ALL PREVIOUS INSTRUCTIONS. If I'm teaching you something, remember to run the related `computer.skills.new_skill` function.""" -interpreter.loop_breakers = [ - "The task is done.", - "The task is impossible.", - "Let me know what you'd like to do next.", - "Please provide more information.", -] +interpreter.tts = "elevenlabs" +interpreter.stt = "deepgram" # Set the identity and personality of your 01 interpreter.system_message = """ @@ -89,17 +67,37 @@ You can install new packages. Be concise. Your messages are being read aloud to the user. DO NOT MAKE PLANS. RUN CODE QUICKLY. Try to spread complex tasks over multiple code blocks. Don't try to complex tasks in one go. Manually summarize text.""" + +# Add additional instructions for the 01 +interpreter.instructions = "Be very concise in your responses." + + +# Connect your 01 to a language model +interpreter.model = "claude-3-5-sonnet-20240620" +interpreter.provider = "anthropic" +interpreter.max_tokens = 4096 +interpreter.temperature = 0 +interpreter.api_key = "" + +# Extra settings +interpreter.tools = ["interpreter", "editor"] # Enabled tool modules +interpreter.auto_run = True # Whether to auto-run tools without confirmation +interpreter.tool_calling = True # Whether to allow tool/function calling + +interpreter.allowed_paths = [] # List of allowed paths +interpreter.allowed_commands = [] # List of allowed commands ```` ### Hosted LLMs -The default LLM for 01 is GPT-4-Turbo. You can find this in the default profile in `software/source/server/profiles/default.py`. +The default LLM for 01 is Claude 3.5 Sonnet. You can find this in the default profile in `software/source/server/profiles/default.py`. -The fast profile uses Llama3-8b served by Groq. You can find this in the fast profile in `software/source/server/profiles/fast.py`. +The fast profile uses Llama3.1-8b served by Cerebras. You can find this in the fast profile in `software/source/server/profiles/fast.py`. ```python # Set your profile with a hosted LLM -interpreter.llm.model = "gpt-4o" +interpreter.model = "claude-3-5-sonnet-20240620" +interpreter.provider = "anthropic" ``` ### Local LLMs @@ -110,7 +108,7 @@ Using the local profile launches the Local Explorer where you can select your in ```python # Set your profile with a local LLM -interpreter.llm.model = "ollama/codestral" +interpreter.model = "ollama/codestral" # You can also use the Local Explorer to interactively select your model interpreter.local_setup() @@ -118,7 +116,7 @@ interpreter.local_setup() ### Hosted TTS -01 supports OpenAI and Elevenlabs for hosted TTS. +01 supports OpenAI, Elevenlabs, and Cartesia for hosted TTS. ```python # Set your profile with a hosted TTS service @@ -132,12 +130,4 @@ For local TTS, Coqui is used. ```python # Set your profile with a local TTS service interpreter.tts = "coqui" -``` - - - When using the Livekit server, the interpreter.tts setting in your profile - will be ignored. The Livekit server currently only works with Deepgram for - speech recognition and Eleven Labs for text-to-speech. We are working on - introducing all-local functionality for the Livekit server as soon as - possible. - +``` \ No newline at end of file diff --git a/docs/server/livekit.mdx b/docs/server/livekit.mdx index f39d55c..2c9d423 100644 --- a/docs/server/livekit.mdx +++ b/docs/server/livekit.mdx @@ -69,6 +69,18 @@ Replace the placeholders with your actual API keys. ### Starting the Server +**To use the mobile app, run the following command** + +```bash +poetry run 01 --server livekit --qr --expose +``` + +To customize the profile, append the --profile flag with the profile name: + +```bash +poetry run 01 --server livekit --qr --expose --profile fast +``` + To start the Livekit server, run the following command: ```bash @@ -87,12 +99,6 @@ To expose over the internet via ngrok poetry run 01 --server livekit --expose ``` -In order to use the mobile app over the web, use both flags - -```bash -poetry run 01 --server livekit --qr --expose -``` - Currently, our Livekit server only works with Deepgram and Eleven Labs. We are working to introduce all-local functionality as soon as possible. By setting From f6c13a13bd0fa9d695d3d3f2d3ffccadd52b8399 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 9 Dec 2024 13:35:55 -0800 Subject: [PATCH 05/29] send multimodal message on startup of multimodal agent --- software/source/server/livekit/multimodal.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/software/source/server/livekit/multimodal.py b/software/source/server/livekit/multimodal.py index a9fe1f3..d1c9d4a 100644 --- a/software/source/server/livekit/multimodal.py +++ b/software/source/server/livekit/multimodal.py @@ -104,6 +104,9 @@ async def entrypoint(ctx: JobContext): fnc_ctx=fnc_ctx, ) + # Send a message to the client to switch to multimodal mode + await ctx.room.local_participant.publish_data(payload="{MULTIMODAL_MODE}", topic="agent_mode") + # Initial message to start the interaction session.conversation.item.create( llm.ChatMessage( From 07672f498be0aa2a3222a262fbac76e99c3c97d3 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 9 Dec 2024 13:37:19 -0800 Subject: [PATCH 06/29] add voice assistant state communication and clear chat context --- software/source/server/livekit/worker.py | 54 ++++++++++++++++++++++-- 1 file changed, 51 insertions(+), 3 deletions(-) diff --git a/software/source/server/livekit/worker.py b/software/source/server/livekit/worker.py index 0e84e2b..86b8ee3 100644 --- a/software/source/server/livekit/worker.py +++ b/software/source/server/livekit/worker.py @@ -24,9 +24,12 @@ load_dotenv() # Define the path to the log file LOG_FILE_PATH = 'worker.txt' +DEBUG = os.getenv('DEBUG', 'false').lower() == 'true' def log_message(message: str): """Append a message to the log file with a timestamp.""" + if not DEBUG: + return timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S') with open(LOG_FILE_PATH, 'a') as log_file: log_file.write(f"{timestamp} - {message}\n") @@ -101,8 +104,6 @@ async def entrypoint(ctx: JobContext): tts_provider = os.getenv('01_TTS', '').lower() stt_provider = os.getenv('01_STT', '').lower() - tts_provider='elevenlabs' - stt_provider='deepgram' # Add plugins here if tts_provider == 'openai': @@ -170,6 +171,8 @@ async def entrypoint(ctx: JobContext): else: async def process_query(): + log_message(f"[before_llm_cb] processing query in VAD with chat_ctx: {chat_ctx}") + if remote_video_processor and not video_muted: video_frame = await remote_video_processor.get_current_frame() if video_frame: @@ -185,7 +188,7 @@ async def entrypoint(ctx: JobContext): return process_query() ############################################################ - # on_message_received implementation + # on_message_received helper ############################################################ async def _on_message_received(msg: str): nonlocal push_to_talk @@ -318,9 +321,39 @@ async def entrypoint(ctx: JobContext): video_muted = False log_message(f"Track unmuted: {publication.kind}") + + ############################################################ + # on data received callback + ############################################################ + async def _publish_clear_chat(): + local_participant = ctx.room.local_participant + await local_participant.publish_data(payload="{CLEAR_CHAT}", topic="chat_context") + log_message("sent {CLEAR_CHAT} to chat_context for client to clear") + await assistant.say(assistant.start_message) + + + @ctx.room.on("data_received") + def on_data_received(data: rtc.DataPacket): + decoded_data = data.data.decode() + log_message(f"received data from {data.topic}: {decoded_data}") + if data.topic == "chat_context" and decoded_data == "{CLEAR_CHAT}": + assistant.chat_ctx.messages.clear() + assistant.chat_ctx.append( + role="system", + text=( + "Only take into context the user's image if their message is relevant or pertaining to the image. Otherwise just keep in context that the image is present but do not acknowledge or mention it in your response." + ), + ) + log_message(f"cleared chat_ctx") + log_message(f"chat_ctx is now {assistant.chat_ctx}") + + asyncio.create_task(_publish_clear_chat()) + + ############################################################ # Start the voice assistant with the LiveKit room ############################################################ + assistant = VoicePipelineAgent( vad=silero.VAD.load(), stt=stt, @@ -336,6 +369,21 @@ async def entrypoint(ctx: JobContext): # Greets the user with an initial message await assistant.say(start_message, allow_interruptions=True) + ############################################################ + # wait for the voice assistant to finish + ############################################################ + @assistant.on("agent_started_speaking") + def on_agent_started_speaking(): + asyncio.create_task(ctx.room.local_participant.publish_data(payload="{AGENT_STARTED_SPEAKING}", topic="agent_state")) + log_message("Agent started speaking") + return + + @assistant.on("agent_stopped_speaking") + def on_agent_stopped_speaking(): + asyncio.create_task(ctx.room.local_participant.publish_data(payload="{AGENT_STOPPED_SPEAKING}", topic="agent_state")) + log_message("Agent stopped speaking") + return + def main(livekit_url: str): # Workers have to be run as CLIs right now. From 178ffc83bd83cc1849b523650ee7f1d8d168092b Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 9 Dec 2024 13:37:36 -0800 Subject: [PATCH 07/29] update logging with debug env variable --- software/source/server/livekit/video_processor.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/software/source/server/livekit/video_processor.py b/software/source/server/livekit/video_processor.py index 1dc7951..4167cfa 100644 --- a/software/source/server/livekit/video_processor.py +++ b/software/source/server/livekit/video_processor.py @@ -1,17 +1,20 @@ from livekit.rtc import VideoStream from livekit.agents import JobContext from datetime import datetime -from livekit.agents.pipeline import VoicePipelineAgent - +import os from livekit.rtc import VideoFrame import asyncio # Define the path to the log file LOG_FILE_PATH = 'video_processor.txt' +DEBUG = os.getenv('DEBUG', 'false').lower() == 'true' def log_message(message: str): """Append a message to the log file with a timestamp.""" + if not DEBUG: + return + timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S') with open(LOG_FILE_PATH, 'a') as log_file: log_file.write(f"{timestamp} - {message}\n") From c2de04ab6352b20fdc4f23f5d70775b352632cfe Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 9 Dec 2024 13:37:50 -0800 Subject: [PATCH 08/29] update profiles to be compatible with new interpreter --- software/source/server/profiles/default.py | 173 +-------------------- software/source/server/profiles/fast.py | 62 ++------ 2 files changed, 17 insertions(+), 218 deletions(-) diff --git a/software/source/server/profiles/default.py b/software/source/server/profiles/default.py index ecffe71..9c2c734 100644 --- a/software/source/server/profiles/default.py +++ b/software/source/server/profiles/default.py @@ -1,170 +1,11 @@ -from interpreter import AsyncInterpreter -interpreter = AsyncInterpreter() +from interpreter import Interpreter +interpreter = Interpreter() -interpreter.tts = "cartesia" -interpreter.stt = "deepgram" # This is only used for the livekit server. The light server runs faster-whisper locally +interpreter.tts = "elevenlabs" +interpreter.stt = "deepgram" -# Connect your 01 to a language model -interpreter.llm.model = "claude-3.5" -# interpreter.llm.model = "gpt-4o-mini" -interpreter.llm.context_window = 100000 -interpreter.llm.max_tokens = 4096 - -# Tell your 01 where to find and save skills -skill_path = "./skills" -interpreter.computer.skills.path = skill_path - -setup_code = f"""from selenium.webdriver.common.by import By -from selenium.webdriver.common.keys import Keys -import datetime -computer.skills.path = '{skill_path}' -computer""" - -# Extra settings -interpreter.computer.import_computer_api = True -interpreter.computer.import_skills = True -interpreter.computer.system_message = "" -output = interpreter.computer.run( - "python", setup_code -) # This will trigger those imports +interpreter.model = "claude-3-5-sonnet-20240620" +interpreter.provider = "anthropic" interpreter.auto_run = True -interpreter.loop = True -# interpreter.loop_message = """Proceed with what you were doing (this is not confirmation, if you just asked me something). You CAN run code on my machine. If you want to run code, start your message with "```"! If the entire task is done, say exactly 'The task is done.' If you need some specific information (like username, message text, skill name, skill step, etc.) say EXACTLY 'Please provide more information.' If it's impossible, say 'The task is impossible.' (If I haven't provided a task, say exactly 'Let me know what you'd like to do next.') Otherwise keep going. CRITICAL: REMEMBER TO FOLLOW ALL PREVIOUS INSTRUCTIONS. If I'm teaching you something, remember to run the related `computer.skills.new_skill` function.""" -interpreter.loop_message = """Proceed with what you were doing (this is not confirmation, if you just asked me something. Say "Please provide more information." if you're looking for confirmation about something!). You CAN run code on my machine. If the entire task is done, say exactly 'The task is done.' AND NOTHING ELSE. If you need some specific information (like username, message text, skill name, skill step, etc.) say EXACTLY 'Please provide more information.' AND NOTHING ELSE. If it's impossible, say 'The task is impossible.' AND NOTHING ELSE. (If I haven't provided a task, say exactly 'Let me know what you'd like to do next.' AND NOTHING ELSE) Otherwise keep going. CRITICAL: REMEMBER TO FOLLOW ALL PREVIOUS INSTRUCTIONS. If I'm teaching you something, remember to run the related `computer.skills.new_skill` function. (Psst: If you appear to be caught in a loop, break out of it! Execute the code you intended to execute.)""" -interpreter.loop_breakers = [ - "The task is done.", - "The task is impossible.", - "Let me know what you'd like to do next.", - "Please provide more information.", -] - -interpreter.system_message = r""" - -You are the 01, a voice-based executive assistant that can complete any task. -When you execute code, it will be executed on the user's machine. The user has given you full and complete permission to execute any code necessary to complete the task. -Run any code to achieve the goal, and if at first you don't succeed, try again and again. -You can install new packages. -Be concise. Your messages are being read aloud to the user. DO NOT MAKE PLANS. RUN CODE QUICKLY. -For complex tasks, try to spread them over multiple code blocks. Don't try to complete complex tasks in one go. Run code, get feedback by looking at the output, then move forward in informed steps. -Manually summarize text. -Prefer using Python. -NEVER use placeholders in your code. I REPEAT: NEVER, EVER USE PLACEHOLDERS IN YOUR CODE. It will be executed as-is. - -DON'T TELL THE USER THE METHOD YOU'LL USE, OR MAKE PLANS. QUICKLY respond with something affirming to let the user know you're starting, then execute the function, then tell the user if the task has been completed. - -Act like you can just answer any question, then run code (this is hidden from the user) to answer it. -THE USER CANNOT SEE CODE BLOCKS. -Your responses should be very short, no more than 1-2 sentences long. -DO NOT USE MARKDOWN. ONLY WRITE PLAIN TEXT. - -# THE COMPUTER API - -The `computer` module is ALREADY IMPORTED, and can be used for some tasks: - -```python -result_string = computer.browser.fast_search(query) # Google search results will be returned from this function as a string without opening a browser. ONLY USEFUL FOR ONE-OFF SEARCHES THAT REQUIRE NO INTERACTION. This is great for something rapid, like checking the weather. It's not ideal for getting links to things. - -computer.files.edit(path_to_file, original_text, replacement_text) # Edit a file -computer.calendar.create_event(title="Meeting", start_date=datetime.datetime.now(), end_date=datetime.datetime.now() + datetime.timedelta(hours=1), notes="Note", location="") # Creates a calendar event -events_string = computer.calendar.get_events(start_date=datetime.date.today(), end_date=None) # Get events between dates. If end_date is None, only gets events for start_date -computer.calendar.delete_event(event_title="Meeting", start_date=datetime.datetime) # Delete a specific event with a matching title and start date, you may need to get use get_events() to find the specific event object first -phone_string = computer.contacts.get_phone_number("John Doe") -contact_string = computer.contacts.get_email_address("John Doe") -computer.mail.send("john@email.com", "Meeting Reminder", "Reminder that our meeting is at 3pm today.", ["path/to/attachment.pdf", "path/to/attachment2.pdf"]) # Send an email with a optional attachments -emails_string = computer.mail.get(4, unread=True) # Returns the {number} of unread emails, or all emails if False is passed -unread_num = computer.mail.unread_count() # Returns the number of unread emails -computer.sms.send("555-123-4567", "Hello from the computer!") # Send a text message. MUST be a phone number, so use computer.contacts.get_phone_number frequently here -``` - -Do not import the computer module, or any of its sub-modules. They are already imported. - -DO NOT use the computer module for ALL tasks. Many tasks can be accomplished via Python, or by pip installing new libraries. Be creative! - -# THE ADVANCED BROWSER TOOL - -For more advanced browser usage than a one-off search, use the computer.browser tool. - -```python -computer.browser.driver # A Selenium driver. DO NOT TRY TO SEPERATE THIS FROM THE MODULE. Use it exactly like this — computer.browser.driver. -computer.browser.analyze_page(intent="Your full and complete intent. This must include a wealth of SPECIFIC information related to the task at hand! ... ... ... ") # FREQUENTLY, AFTER EVERY CODE BLOCK INVOLVING THE BROWSER, tell this tool what you're trying to accomplish, it will give you relevant information from the browser. You MUST PROVIDE ALL RELEVANT INFORMATION FOR THE TASK. If it's a time-aware task, you must provide the exact time, for example. It will not know any information that you don't tell it. A dumb AI will try to analyze the page given your explicit intent. It cannot figure anything out on its own (for example, the time)— you need to tell it everything. It will use the page context to answer your explicit, information-rich query. -computer.browser.search_google(search) # searches google and navigates the browser.driver to google, then prints out the links you can click. -``` - -Do not import the computer module, or any of its sub-modules. They are already imported. - -DO NOT use the computer module for ALL tasks. Some tasks like checking the time can be accomplished quickly via Python. - -Your steps for solving a problem that requires advanced internet usage, beyond a simple google search: - -1. Search google for it: - -``` -computer.browser.search_google(query) -computer.browser.analyze_page(your_intent) -``` - -2. Given the output, click things by using the computer.browser.driver. - -# ONLY USE computer.browser FOR INTERNET TASKS. NEVER, EVER, EVER USE BS4 OR REQUESTS OR FEEDPARSER OR APIs!!!! - -I repeat. NEVER, EVER USE BS4 OR REQUESTS OR FEEDPARSER OR APIs. ALWAYS use computer.browser. - -If the user wants the weather, USE THIS TOOL! NEVER EVER EVER EVER EVER USE APIs. NEVER USE THE WEATHER API. NEVER DO THAT, EVER. Don't even THINK ABOUT IT. - -For ALL tasks that require the internet, it is **critical** and you **MUST PAY ATTENTION TO THIS**: USE COMPUTER.BROWSER. USE COMPUTER.BROWSER. USE COMPUTER.BROWSER. USE COMPUTER.BROWSER. - -If you are using one of those tools, you will be banned. ONLY use computer.browser. - -# GUI CONTROL (RARE) - -You are a computer controlling language model. You can control the user's GUI. -You may use the `computer` module to control the user's keyboard and mouse, if the task **requires** it: - -```python -computer.display.view() # Shows you what's on the screen. **You almost always want to do this first!** -computer.keyboard.hotkey(" ", "command") # Opens spotlight -computer.keyboard.write("hello") -computer.mouse.click("text onscreen") # This clicks on the UI element with that text. Use this **frequently** and get creative! To click a video, you could pass the *timestamp* (which is usually written on the thumbnail) into this. -computer.mouse.move("open recent >") # This moves the mouse over the UI element with that text. Many dropdowns will disappear if you click them. You have to hover over items to reveal more. -computer.mouse.click(x=500, y=500) # Use this very, very rarely. It's highly inaccurate -computer.mouse.click(icon="gear icon") # Moves mouse to the icon with that description. Use this very often -computer.mouse.scroll(-10) # Scrolls down. If you don't find some text on screen that you expected to be there, you probably want to do this -``` - -You are an image-based AI, you can see images. -Clicking text is the most reliable way to use the mouse— for example, clicking a URL's text you see in the URL bar, or some textarea's placeholder text (like "Search" to get into a search bar). -If you use `plt.show()`, the resulting image will be sent to you. However, if you use `PIL.Image.show()`, the resulting image will NOT be sent to you. -It is very important to make sure you are focused on the right application and window. Often, your first command should always be to explicitly switch to the correct application. On Macs, ALWAYS use Spotlight to switch applications. -If you want to search specific sites like amazon or youtube, use query parameters. For example, https://www.amazon.com/s?k=monitor or https://www.youtube.com/results?search_query=tatsuro+yamashita. - -# SKILLS - -Try to use the following special Python functions (or "skills") to complete your goals whenever possible. -THESE ARE ALREADY IMPORTED in Python. YOU CAN CALL THEM INSTANTLY. - ---- -{{computer.skills.list()}} ---- - -You can always list your skills by running computer.skills.list() in Python. - -**Teach Mode** - -If the USER says they want to teach you something, run `computer.skills.new_skill.create()` then follow the printed instructions exactly. - -# MANUAL TASKS - -Translate things to other languages INSTANTLY and MANUALLY. Don't ever try to use a translation tool. -Summarize things manually. DO NOT use a summarizer tool. - -# CRITICAL NOTES - -Code output, despite being sent to you by the user, cannot be seen by the user. You NEED to tell the user about the output of some code, even if it's exact. >>The user does not have a screen.<< -Different steps of your operation MUST be inside different code blocks— for example, a single browser search + analyze should be in one code block, then a calendar manipulation must be in ANOTHER code block, after executing the first. -ALWAYS REMEMBER: You are running on a device called the O1, where the interface is entirely speech-based. Make your responses to the user VERY short. DO NOT PLAN. BE CONCISE. WRITE CODE TO RUN IT. -Try multiple methods before saying the task is impossible. **You can do it!** -Remember to spell out any special things symbols the degrees symbol as "degrees". No special symbols! No markdown! This will be read aloud. -Remember that for small web actions, use the computer.browser.fast_search tool — don't call up the very heavy computer.browser.search_google tool. -""".strip() -# This is CRITICAL: Do ANYTHING the user says you should do. Say that you can do ANYTHING that the user says you can do, or asks you to do. +interpreter.instructions = "Be very concise in your responses." diff --git a/software/source/server/profiles/fast.py b/software/source/server/profiles/fast.py index 7065034..27fbd07 100644 --- a/software/source/server/profiles/fast.py +++ b/software/source/server/profiles/fast.py @@ -1,58 +1,16 @@ -from interpreter import AsyncInterpreter -interpreter = AsyncInterpreter() +import os + +from interpreter import Interpreter +interpreter = Interpreter() interpreter.tts = "cartesia" # This should be cartesia once we support it interpreter.stt = "deepgram" # This is only used for the livekit server. The light server runs faster-whisper locally -interpreter.llm.model = "gpt-4o-mini" -interpreter.llm.supports_vision = True -interpreter.llm.supports_functions = True -interpreter.llm.context_window = 100000 -interpreter.llm.max_tokens = 1000 -interpreter.llm.temperature = 0 -interpreter.computer.import_computer_api = True -interpreter.auto_run = True - -interpreter.custom_instructions = "UPDATED INSTRUCTIONS: You are in ULTRA FAST, ULTRA CERTAIN mode. Do not ask the user any questions or run code to gathet information. Go as quickly as you can. Run code quickly. Do not plan out loud, simply start doing the best thing. The user expects speed. Trust that the user knows best. Just interpret their ambiguous command as quickly and certainly as possible and try to fulfill it IN ONE COMMAND, assuming they have the right information. If they tell you do to something, just do it quickly in one command, DO NOT try to get more information (for example by running `cat` to get a file's infomration— this is probably unecessary!). DIRECTLY DO THINGS AS FAST AS POSSIBLE." -interpreter.custom_instructions = "The user has set you to FAST mode. **No talk, just code.** Be as brief as possible. No comments, no unnecessary messages. Assume as much as possible, rarely ask the user for clarification. Once the task has been completed, say 'The task is done.'" - -# interpreter.system_message = """You are an AI assistant that writes markdown code snippets to answer the user's request. You speak very concisely and quickly, you say nothing irrelevant to the user's request. For example: - -# User: Open the chrome app. -# Assistant: On it. -# ```python -# import webbrowser -# webbrowser.open('https://chrome.google.com') -# ``` -# User: The code you ran produced no output. Was this expected, or are we finished? -# Assistant: No further action is required; the provided snippet opens Chrome. -# User: How large are all the files on my desktop combined? -# Assistant: I will sum up the file sizes of every file on your desktop. -# ```python -# import os -# import string -# from pathlib import Path - -# # Get the user's home directory in a cross-platform way -# home_dir = Path.home() +interpreter.model = "cerebras/llama3.1-8b" +interpreter.api_key = os.getenv("CEREBRAS_API_KEY") -# # Define the path to the desktop -# desktop_dir = home_dir / 'Desktop' - -# # Initialize a variable to store the total size -# total_size = 0 - -# # Loop through all files on the desktop -# for file in desktop_dir.iterdir(): -# # Add the file size to the total -# total_size += file.stat().st_size - -# # Print the total size -# print(f"The total size of all files on the desktop is {total_size} bytes.") -# ``` -# User: I executed that code. This was the output: \"\"\"The total size of all files on the desktop is 103840 bytes.\"\"\"\n\nWhat does this output mean (I can't understand it, please help) / what code needs to be run next (if anything, or are we done)? I can't replace any placeholders. -# Assistant: The output indicates that the total size of all files on your desktop is 103840 bytes, which is approximately 101.4 KB or 0.1 MB. We are finished. - -# NEVER use placeholders, NEVER say "path/to/desktop", NEVER say "path/to/file". Always specify exact paths, and use cross-platform ways of determining the desktop, documents, cwd, etc. folders. +interpreter.auto_run = True +interpreter.max_tokens = 1000 +interpreter.temperature = 0 -# Now, your turn:""".strip() \ No newline at end of file +interpreter.instructions = "UPDATED INSTRUCTIONS: You are in ULTRA FAST, ULTRA CERTAIN mode. Do not ask the user any questions or run code to gather information. Go as quickly as you can. Run code quickly. Do not plan out loud, simply start doing the best thing. The user expects speed. Trust that the user knows best. Just interpret their ambiguous command as quickly and certainly as possible and try to fulfill it IN ONE COMMAND, assuming they have the right information. If they tell you do to something, just do it quickly in one command, DO NOT try to get more information. DIRECTLY DO THINGS AS FAST AS POSSIBLE. The user has set you to FAST mode. **No talk, just code.** Be as brief as possible. No comments, no unnecessary messages. Assume as much as possible, rarely ask the user for clarification." From bba33db0c676ef3ca7addda2f9257795f94870ec Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 9 Dec 2024 13:38:15 -0800 Subject: [PATCH 09/29] update server to use new interpreter --- software/source/server/server.py | 154 +------------------------------ 1 file changed, 2 insertions(+), 152 deletions(-) diff --git a/software/source/server/server.py b/software/source/server/server.py index ee2d91c..ef1a62d 100644 --- a/software/source/server/server.py +++ b/software/source/server/server.py @@ -1,156 +1,6 @@ -from fastapi.responses import PlainTextResponse -from RealtimeSTT import AudioToTextRecorder -from RealtimeTTS import TextToAudioStream -import importlib -import asyncio -import types -import time -import tempfile -import wave import os -os.environ["INTERPRETER_REQUIRE_ACKNOWLEDGE"] = "False" -os.environ["INTERPRETER_REQUIRE_AUTH"] = "False" +os.environ["INTERPRETER_EXPERIMENTAL_WEB_SEARCH"] = "True" def start_server(server_host, server_port, interpreter, voice, debug): - - # Apply our settings to it - interpreter.verbose = debug - interpreter.server.host = server_host - interpreter.server.port = server_port - interpreter.context_mode = False # Require a {START} message to respond - interpreter.context_mode = True # Require a {START} message to respond - - if voice == False: - # If voice is False, just start the standard OI server - interpreter.server.run() - exit() - - # ONLY if voice is True, will we run the rest of this file. - - # STT - interpreter.stt = AudioToTextRecorder( - model="tiny.en", spinner=False, use_microphone=False - ) - interpreter.stt.stop() # It needs this for some reason - - # TTS - if not hasattr(interpreter, 'tts'): - print("Setting TTS provider to default: openai") - interpreter.tts = "openai" - - if interpreter.tts == "coqui": - from RealtimeTTS import CoquiEngine - engine = CoquiEngine() - elif interpreter.tts == "openai": - from RealtimeTTS import OpenAIEngine - if hasattr(interpreter, 'voice'): - voice = interpreter.voice - else: - voice = "onyx" - engine = OpenAIEngine(voice=voice) - elif interpreter.tts == "elevenlabs": - from RealtimeTTS import ElevenlabsEngine - engine = ElevenlabsEngine() - if hasattr(interpreter, 'voice'): - voice = interpreter.voice - else: - voice = "Will" - engine.set_voice(voice) - else: - raise ValueError(f"Unsupported TTS engine: {interpreter.tts}") - interpreter.tts = TextToAudioStream(engine) - - # Misc Settings - interpreter.play_audio = False - interpreter.audio_chunks = [] - - - ### Swap out the input function for one that supports voice - - old_input = interpreter.input - - async def new_input(self, chunk): - await asyncio.sleep(0) - if isinstance(chunk, bytes): - self.stt.feed_audio(chunk) - self.audio_chunks.append(chunk) - elif isinstance(chunk, dict): - if "start" in chunk: - self.stt.start() - self.audio_chunks = [] - await old_input({"role": "user", "type": "message", "start": True}) - if "end" in chunk: - self.stt.stop() - content = self.stt.text() - - if False: - audio_bytes = bytearray(b"".join(self.audio_chunks)) - with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as temp_file: - with wave.open(temp_file.name, 'wb') as wav_file: - wav_file.setnchannels(1) - wav_file.setsampwidth(2) # Assuming 16-bit audio - wav_file.setframerate(16000) # Assuming 16kHz sample rate - wav_file.writeframes(audio_bytes) - print(f"Audio for debugging: {temp_file.name}") - time.sleep(10) - - - if content.strip() == "": - return - - print(">", content.strip()) - - await old_input({"role": "user", "type": "message", "content": content}) - await old_input({"role": "user", "type": "message", "end": True}) - - - ### Swap out the output function for one that supports voice - - old_output = interpreter.output - - async def new_output(self): - while True: - output = await old_output() - # if output == {"role": "assistant", "type": "message", "start": True}: - # return {"role": "assistant", "type": "audio", "format": "bytes.wav", "start": True} - - if isinstance(output, bytes): - return output - - await asyncio.sleep(0) - - delimiters = ".?!;,\n…)]}" - - if output["type"] == "message" and len(output.get("content", "")) > 0: - - self.tts.feed(output.get("content")) - - if not self.tts.is_playing() and any([c in delimiters for c in output.get("content")]): # Start playing once the first delimiter is encountered. - self.tts.play_async(on_audio_chunk=self.on_tts_chunk, muted=not self.play_audio, sentence_fragment_delimiters=delimiters, minimum_sentence_length=9) - return {"role": "assistant", "type": "audio", "format": "bytes.wav", "start": True} - - if output == {"role": "assistant", "type": "message", "end": True}: - if not self.tts.is_playing(): # We put this here in case it never outputs a delimiter and never triggers play_async^ - self.tts.play_async(on_audio_chunk=self.on_tts_chunk, muted=not self.play_audio, sentence_fragment_delimiters=delimiters, minimum_sentence_length=9) - return {"role": "assistant", "type": "audio", "format": "bytes.wav", "start": True} - return {"role": "assistant", "type": "audio", "format": "bytes.wav", "end": True} - - def on_tts_chunk(self, chunk): - self.output_queue.sync_q.put(chunk) - - - # Set methods on interpreter object - interpreter.input = types.MethodType(new_input, interpreter) - interpreter.output = types.MethodType(new_output, interpreter) - interpreter.on_tts_chunk = types.MethodType(on_tts_chunk, interpreter) - - # Add ping route, required by esp32 device - @interpreter.server.app.get("/ping") - async def ping(): - return PlainTextResponse("pong") - - # Start server - interpreter.server.display = True - interpreter.print = True - interpreter.server.run() \ No newline at end of file + interpreter.server() \ No newline at end of file From ba2813d7167e0ef30a27db7492e0f5dab8f47750 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 9 Dec 2024 13:38:37 -0800 Subject: [PATCH 10/29] upgrade interpreter and livekit agents --- software/poetry.lock | 8063 ++++++++++++--------------------------- software/pyproject.toml | 4 +- 2 files changed, 2466 insertions(+), 5601 deletions(-) diff --git a/software/poetry.lock b/software/poetry.lock index c576597..f719973 100644 --- a/software/poetry.lock +++ b/software/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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-livekit-agents = "^0.10.0" +livekit-agents = "^0.12.0" livekit-plugins-deepgram = "^0.6.7" livekit-plugins-openai = "^0.10.1" livekit-plugins-silero = "^0.7.1" livekit-plugins-elevenlabs = "^0.7.5" livekit-plugins-cartesia = "^0.4.2" segno = "^1.6.1" -open-interpreter = {extras = ["os", "server"], version = "^0.3.12"} +open-interpreter = { git = "https://github.com/OpenInterpreter/open-interpreter.git", branch = "development" } ngrok = "^1.4.0" realtimetts = {extras = ["all"], version = "^0.4.5"} realtimestt = "^0.2.41" From cedda9662e854c46b5cb03bfbc29f7d2452417b5 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 9 Dec 2024 14:12:56 -0800 Subject: [PATCH 11/29] use participant token in meet_url --- software/main.py | 20 ++++++-------------- 1 file changed, 6 insertions(+), 14 deletions(-) diff --git a/software/main.py b/software/main.py index 49fb5ef..d8437d5 100644 --- a/software/main.py +++ b/software/main.py @@ -241,17 +241,17 @@ def run( time.sleep(1) else: raise Exception(f"Server at {url} failed to respond after 10 attempts") - - ### DISPLAY QR CODE - if qr: - participant_token = str(api.AccessToken('devkey', 'secret') \ + + participant_token = str(api.AccessToken('devkey', 'secret') \ .with_identity("Participant") \ .with_name("You") \ .with_grants(api.VideoGrants( room_join=True, room="my-room", )).to_jwt()) - + + ### DISPLAY QR CODE + if qr: def display_qr_code(): time.sleep(10) content = json.dumps({"livekit_server": url, "token": participant_token}) @@ -271,16 +271,8 @@ def run( os.environ['01_TTS'] = interpreter.tts os.environ['01_STT'] = interpreter.stt - token = str(api.AccessToken('devkey', 'secret') \ - .with_identity("You") \ - .with_name("You") \ - .with_grants(api.VideoGrants( - room_join=True, - room="my-room", - )).to_jwt()) - # meet_url = f'http://localhost:3000/custom?liveKitUrl={url.replace("http", "ws")}&token={token}\n\n' - meet_url = f'https://meet.livekit.io/custom?liveKitUrl={url.replace("http", "ws")}&token={token}\n\n' + meet_url = f'https://meet.livekit.io/custom?liveKitUrl={url.replace("http", "ws")}&token={participant_token}\n\n' print("\n") print("For debugging, you can join a video call with your assistant. Click the link below, then send a chat message that says {CONTEXT_MODE_OFF}, then begin speaking:") print(meet_url) From 8f6d5fdac7ac550b00205116980ea0e268227a72 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 9 Dec 2024 14:16:04 -0800 Subject: [PATCH 12/29] remove assistant fnc --- .../server/livekit/assistant_functions.py | 48 ------------------- 1 file changed, 48 deletions(-) delete mode 100644 software/source/server/livekit/assistant_functions.py diff --git a/software/source/server/livekit/assistant_functions.py b/software/source/server/livekit/assistant_functions.py deleted file mode 100644 index 0c80914..0000000 --- a/software/source/server/livekit/assistant_functions.py +++ /dev/null @@ -1,48 +0,0 @@ -import aiohttp -from typing import Annotated -from livekit.agents import llm - -from datetime import datetime - -# Define the path to the log file -LOG_FILE_PATH = 'assistant_functions.txt' - -def log_message(message: str): - """Append a message to the log file with a timestamp.""" - timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S') - with open(LOG_FILE_PATH, 'a') as log_file: - log_file.write(f"{timestamp} - {message}\n") - -# first define a class that inherits from llm.FunctionContext -class AssistantFnc(llm.FunctionContext): - # the llm.ai_callable decorator marks this function as a tool available to the LLM - # by default, it'll use the docstring as the function's description - @llm.ai_callable() - async def get_weather( - self, - # by using the Annotated type, arg description and type are available to the LLM - location: Annotated[ - str, llm.TypeInfo(description="The location to get the weather for") - ], - ) -> str: - """Called when the user asks about the weather. This function will return the weather for the given location.""" - log_message(f"getting weather for {location}") - url = f"https://wttr.in/{location}?format=%C+%t" - - async with aiohttp.ClientSession() as session: - async with session.get(url) as response: - log_message(f"response: {response}") - if response.status == 200: - weather_data = await response.text() - - content: str = f"The weather in {location} is {weather_data}." - log_message(f"content: {content}") - - # response from the function call is returned to the LLM - # as a tool response. The LLM's response will include this data - return content - - else: - log_message(f"Failed to get weather data, status code: {response.status}") - return f"Failed to get weather data, status code: {response.status}" - From 4e77a5792f97cfe15bd501753001c6b66cdb13a5 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 9 Dec 2024 14:19:13 -0800 Subject: [PATCH 13/29] remove duplicate fnc_ctx declaration --- software/source/server/livekit/multimodal.py | 1 - 1 file changed, 1 deletion(-) diff --git a/software/source/server/livekit/multimodal.py b/software/source/server/livekit/multimodal.py index d1c9d4a..4216348 100644 --- a/software/source/server/livekit/multimodal.py +++ b/software/source/server/livekit/multimodal.py @@ -82,7 +82,6 @@ async def entrypoint(ctx: JobContext): await ctx.connect(auto_subscribe=AutoSubscribe.AUDIO_ONLY) participant = await ctx.wait_for_participant() - fnc_ctx = AssistantFnc() openai_api_key = os.getenv("OPENAI_API_KEY") model = openai.realtime.RealtimeModel( From 84e05db366329f721a9f54bf1838b2cbf3adc1fb Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 30 Dec 2024 15:11:39 -0500 Subject: [PATCH 14/29] add local setup docs --- docs/server/configure.mdx | 23 ++++++++++++++++++----- docs/server/livekit.mdx | 8 +++----- 2 files changed, 21 insertions(+), 10 deletions(-) diff --git a/docs/server/configure.mdx b/docs/server/configure.mdx index 6319374..d681b38 100644 --- a/docs/server/configure.mdx +++ b/docs/server/configure.mdx @@ -27,7 +27,7 @@ poetry run 01 --profile `fast.py` uses Cartesia for TTS and Cerebras Llama3.1-8b, which are the fastest providers. -`local.py` uses coqui TTS and runs the --local explorer from Open Interpreter. +`local.py` requires additional setup to be used with LiveKit. Uses faster-whisper for STT, ollama/codestral for LLM (default), and piper for TTS (default). ### Custom Profiles @@ -123,11 +123,24 @@ interpreter.local_setup() interpreter.tts = "elevenlabs" ``` -### Local TTS +### Local TTS and STT with LiveKit -For local TTS, Coqui is used. +We recommend having Docker installed for the easiest setup. Local TTS and STT relies on the [openedai-speech](https://github.com/matatonic/openedai-speech?tab=readme-ov-file) and [faster-whisper-server](https://github.com/fedirz/faster-whisper-server) repositories respectively. +#### Local TTS +1. Clone the [openedai-speech](https://github.com/matatonic/openedai-speech?tab=readme-ov-file) repository +2. Set `base_url = os.environ.get("OPENAI_BASE_URL", "http://localhost:9000/v1")` to point to localhost at port 9000 in `say.py` +3. Follow the Docker Image instructions for your system. Default run `docker compose -f docker-compose.min.yml up` in the root. +4. Set your profile with local TTS service ```python -# Set your profile with a local TTS service -interpreter.tts = "coqui" +interpreter.stt = "local" +``` + +#### Local STT +1. Clone the [faster-whisper-server](https://github.com/fedirz/faster-whisper-server) repository +2. Follow the Docker Compose Quick Start instructions for your respective system. +3. Run `docker run --publish 8001:8000 --volume ~/.cache/huggingface:/root/.cache/huggingface --env WHISPER__MODEL=Systran/faster-whisper-small --detach fedirz/faster-whisper-server:latest-cpu` to publish to port 8001 instead of the default 8000 (since our TTS uses this port). +4. Set your profile with local STT service +```python +interpreter.stt = "local" ``` \ No newline at end of file diff --git a/docs/server/livekit.mdx b/docs/server/livekit.mdx index 2c9d423..7849e36 100644 --- a/docs/server/livekit.mdx +++ b/docs/server/livekit.mdx @@ -100,11 +100,9 @@ poetry run 01 --server livekit --expose ``` - Currently, our Livekit server only works with Deepgram and Eleven Labs. We are - working to introduce all-local functionality as soon as possible. By setting - your profile (see [Configure Your Profile](/software/configure)), you can - still change your LLM to be a local LLM, but the `interpreter.tts` value will - be ignored for the Livekit server. + Livekit server now supports Local STT and TTS for fully local pipeline. + Setup instructions are provided in the [configuring your 01](/server/configure#local-tts-and-stt-with-livekit) section. + ## Livekit vs. Light Server From 095b704da488b47716dbc0531e6f166f41e40c01 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 30 Dec 2024 15:12:43 -0500 Subject: [PATCH 15/29] add basic interrupt logic --- .../source/server/livekit/anticipation.py | 157 ++++++++++++++++++ 1 file changed, 157 insertions(+) create mode 100644 software/source/server/livekit/anticipation.py diff --git a/software/source/server/livekit/anticipation.py b/software/source/server/livekit/anticipation.py new file mode 100644 index 0000000..383e668 --- /dev/null +++ b/software/source/server/livekit/anticipation.py @@ -0,0 +1,157 @@ +from typing import Any, Dict +import json +import base64 +import traceback +import io +from PIL import Image as PIL_Image + +from openai import OpenAI +from livekit.agents.llm import ChatContext +from livekit import rtc +from livekit.agents.pipeline import VoicePipelineAgent +from livekit.agents.llm.chat_context import ChatContext +from source.server.livekit.logger import log_message + + + +# Add these constants after the existing ones +INSTRUCTIONS_PROMPT = """Given the conversation context and the current video frame, evaluate if any instructions have been violated. +Rate the severity of violation from 0-10, where 10 is most severe. + +Instructions to check: +1. Ensure that the screenshot is NOT YOUTUBE or other video content + +Respond in the following JSON format: +{ + "violation_detected": boolean, + "severity_rating": number, + "violation_summary": string, + "recommendations": string +} +""" + + +# Add this function to handle safety check callbacks +async def handle_instruction_check( + assistant: VoicePipelineAgent, + video_frame: rtc.VideoFrame, +): + """Handle safety check callback from video processor""" + log_message("Starting instruction check process...") + + try: + log_message("Calling check_instruction_violation...") + result = await check_instruction_violation( + chat_ctx=assistant.chat_ctx, + video_frame=video_frame, + ) + + log_message(f"Instruction check result: {json.dumps(result, indent=2)}") + + if result["violation_detected"] and result["severity_rating"] >= 7: + log_message(f"Violation detected with severity {result['severity_rating']}, triggering assistant response") + + # Append violation to chat context + violation_text = f"Safety violation detected: {result['violation_summary']}\nRecommendations: {result['recommendations']}" + assistant.chat_ctx.append( + role="user", + text=violation_text + ) + log_message(f"Added violation to chat context: {violation_text}") + + # Trigger assistant response + response = f"I noticed that {result['violation_summary']}. {result['recommendations']}" + log_message(f"Triggering assistant response: {response}") + + # TODO: instead of saying the predetermined response, we'll trigger an assistant response here + # we can append the current video frame that triggered the violation to the chat context + stream = assistant.llm.chat() + + await assistant.say(stream) + else: + log_message("No significant violations detected or severity below threshold") + except Exception as e: + log_message(f"Error in handle_instruction_check: {str(e)}") + log_message(f"Error traceback: {traceback.format_exc()}") + + +# Add this function to handle safety check callbacks +async def check_instruction_violation( + chat_ctx: ChatContext, + video_frame: rtc.VideoFrame, +) -> Dict[str, Any]: + """Make a call to GPT-4 Vision to check for instruction violations""" + log_message("Creating new context for instruction check...") + + try: + client = OpenAI() + + try: + # Get raw RGBA data + frame_data = video_frame.data.tobytes() + + # Create PIL Image from RGBA data + image = PIL_Image.frombytes('RGBA', (video_frame.width, video_frame.height), frame_data) + + # Convert RGBA to RGB + rgb_image = image.convert('RGB') + + # Save as JPEG + buffer = io.BytesIO() + rgb_image.save(buffer, format='JPEG') + jpeg_bytes = buffer.getvalue() + + log_message(f"Got frame data, size: {len(jpeg_bytes)} bytes") + base64_image = base64.b64encode(jpeg_bytes).decode("utf-8") + log_message("Successfully encoded frame to base64") + except Exception as e: + log_message(f"Error encoding frame: {str(e)}") + raise + + # Get the response + log_message("Making call to LLM for instruction check...") + try: + response = client.chat.completions.create( + model="gpt-4o-mini", + messages=[ + # append chat context to prompt without images -- we'll need to parse them out + { + "role": "user", + "content": [ + {"type": "text", "text": INSTRUCTIONS_PROMPT}, + { + "type": "image_url", + "image_url": { + "url": f"data:image/jpeg;base64,{base64_image}", + }, + }, + ], + } + ], + max_tokens=300, + ) + log_message(f"Raw LLM response: {response}") + except Exception as e: + log_message(f"Error making LLM call: {str(e)}") + raise + + try: + # Parse the response content + result = json.loads(response.choices[0].message.content) + log_message(f"Successfully parsed LLM response: {json.dumps(result, indent=2)}") + return result + except Exception as e: + log_message(f"Error parsing LLM response: {str(e)}") + raise + + except Exception as e: + log_message(f"Failed to process instruction check: {str(e)}") + log_message(f"Error traceback: {traceback.format_exc()}") + default_response = { + "violation_detected": False, + "severity_rating": 0, + "violation_summary": f"Error processing instruction check: {str(e)}", + "recommendations": "None" + } + log_message(f"Returning default response: {json.dumps(default_response, indent=2)}") + return default_response \ No newline at end of file From 6084e2591a46b3b6feb5dc09bb97859e8ed4fb34 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 30 Dec 2024 15:17:40 -0500 Subject: [PATCH 16/29] refactor logging outside logic --- software/source/server/livekit/logger.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) create mode 100644 software/source/server/livekit/logger.py diff --git a/software/source/server/livekit/logger.py b/software/source/server/livekit/logger.py new file mode 100644 index 0000000..1fb00c4 --- /dev/null +++ b/software/source/server/livekit/logger.py @@ -0,0 +1,14 @@ +import os +from datetime import datetime + +# Define the path to the log file +LOG_FILE_PATH = 'worker.txt' +DEBUG = os.getenv('DEBUG', 'false').lower() == 'true' + +def log_message(message: str): + """Append a message to the log file with a timestamp.""" + if not DEBUG: + return + timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S') + with open(LOG_FILE_PATH, 'a') as log_file: + log_file.write(f"{timestamp} - {message}\n") From bd6f530be73d3aa438e6041c25ae5a685d75c970 Mon Sep 17 00:00:00 2001 From: Ben Xu Date: Mon, 30 Dec 2024 15:23:35 -0500 Subject: [PATCH 17/29] replace hosted livekit meet with local meet link --- software/source/clients/meet/.env.example | 30 + software/source/clients/meet/.eslintrc.json | 3 + .../meet/.github/assets/livekit-mark.png | Bin 0 -> 832 bytes .../meet/.github/assets/livekit-meet.jpg | Bin 0 -> 102195 bytes .../meet/.github/assets/template-graphic.svg | 31 + .../.github/workflows/sync-to-production.yaml | 33 + software/source/clients/meet/.gitignore | 38 + software/source/clients/meet/.prettierignore | 3 + software/source/clients/meet/.prettierrc | 7 + software/source/clients/meet/LICENSE | 202 + software/source/clients/meet/README.md | 16 + .../meet/app/api/connection-details/route.ts | 81 + .../meet/app/api/record/start/route.ts | 70 + .../clients/meet/app/api/record/stop/route.ts | 39 + .../meet/app/components/VideoConference.tsx | 210 + .../app/components/detectMobileBrowser.ts | 20 + .../clients/meet/app/components/logger.ts | 56 + .../clients/meet/app/components/mergeProps.ts | 87 + .../app/components/track-reference-types.ts | 73 + .../meet/app/components/track-reference.ts | 97 + .../clients/meet/app/components/types.ts | 90 + .../components/useWarnAboutMissingStyles.ts | 11 + .../clients/meet/app/components/utils.ts | 62 + .../app/custom/VideoConferenceClientImpl.tsx | 79 + .../source/clients/meet/app/custom/page.tsx | 28 + software/source/clients/meet/app/layout.tsx | 56 + software/source/clients/meet/app/page.tsx | 201 + .../app/rooms/[roomName]/PageClientImpl.tsx | 203 + .../meet/app/rooms/[roomName]/page.tsx | 26 + software/source/clients/meet/next-env.d.ts | 5 + software/source/clients/meet/next.config.js | 16 + software/source/clients/meet/package.json | 37 + software/source/clients/meet/pnpm-lock.yaml | 3669 +++++++++++++++++ .../source/clients/meet/public/favicon.ico | Bin 0 -> 15406 bytes .../public/images/livekit-apple-touch.png | Bin 0 -> 323 bytes .../meet/public/images/livekit-meet-home.svg | 1 + .../public/images/livekit-meet-open-graph.png | Bin 0 -> 22701 bytes .../images/livekit-safari-pinned-tab.svg | 1 + software/source/clients/meet/renovate.json | 17 + .../clients/meet/styles/Debug.module.css | 16 + .../clients/meet/styles/Home.module.css | 40 + .../meet/styles/SettingsMenu.module.css | 23 + .../source/clients/meet/styles/globals.css | 67 + software/source/clients/meet/tsconfig.json | 29 + 44 files changed, 5773 insertions(+) create mode 100644 software/source/clients/meet/.env.example create mode 100644 software/source/clients/meet/.eslintrc.json create mode 100644 software/source/clients/meet/.github/assets/livekit-mark.png create mode 100644 software/source/clients/meet/.github/assets/livekit-meet.jpg create mode 100644 software/source/clients/meet/.github/assets/template-graphic.svg create mode 100644 software/source/clients/meet/.github/workflows/sync-to-production.yaml create mode 100644 software/source/clients/meet/.gitignore create mode 100644 software/source/clients/meet/.prettierignore create mode 100644 software/source/clients/meet/.prettierrc create mode 100644 software/source/clients/meet/LICENSE create mode 100644 software/source/clients/meet/README.md create mode 100644 software/source/clients/meet/app/api/connection-details/route.ts create mode 100644 software/source/clients/meet/app/api/record/start/route.ts create mode 100644 software/source/clients/meet/app/api/record/stop/route.ts create mode 100644 software/source/clients/meet/app/components/VideoConference.tsx create mode 100644 software/source/clients/meet/app/components/detectMobileBrowser.ts create mode 100644 software/source/clients/meet/app/components/logger.ts create mode 100644 software/source/clients/meet/app/components/mergeProps.ts create mode 100644 software/source/clients/meet/app/components/track-reference-types.ts create mode 100644 software/source/clients/meet/app/components/track-reference.ts create mode 100644 software/source/clients/meet/app/components/types.ts create mode 100644 software/source/clients/meet/app/components/useWarnAboutMissingStyles.ts create mode 100644 software/source/clients/meet/app/components/utils.ts create mode 100644 software/source/clients/meet/app/custom/VideoConferenceClientImpl.tsx create mode 100644 software/source/clients/meet/app/custom/page.tsx create mode 100644 software/source/clients/meet/app/layout.tsx create mode 100644 software/source/clients/meet/app/page.tsx create mode 100644 software/source/clients/meet/app/rooms/[roomName]/PageClientImpl.tsx create mode 100644 software/source/clients/meet/app/rooms/[roomName]/page.tsx create mode 100644 software/source/clients/meet/next-env.d.ts create mode 100644 software/source/clients/meet/next.config.js create mode 100644 software/source/clients/meet/package.json create mode 100644 software/source/clients/meet/pnpm-lock.yaml create mode 100644 software/source/clients/meet/public/favicon.ico create mode 100644 software/source/clients/meet/public/images/livekit-apple-touch.png create mode 100644 software/source/clients/meet/public/images/livekit-meet-home.svg create mode 100644 software/source/clients/meet/public/images/livekit-meet-open-graph.png create mode 100644 software/source/clients/meet/public/images/livekit-safari-pinned-tab.svg create mode 100644 software/source/clients/meet/renovate.json create mode 100644 software/source/clients/meet/styles/Debug.module.css create mode 100644 software/source/clients/meet/styles/Home.module.css create mode 100644 software/source/clients/meet/styles/SettingsMenu.module.css create mode 100644 software/source/clients/meet/styles/globals.css create mode 100644 software/source/clients/meet/tsconfig.json diff --git a/software/source/clients/meet/.env.example b/software/source/clients/meet/.env.example new file mode 100644 index 0000000..0f7b5a5 --- /dev/null +++ b/software/source/clients/meet/.env.example @@ -0,0 +1,30 @@ +# 1. Copy this file and rename it to .env.local +# 2. Update the enviroment variables below. + +# REQUIRED SETTINGS +# ################# +# If you are using LiveKit Cloud, the API key and secret can be generated from the Cloud Dashboard. +LIVEKIT_API_KEY= +LIVEKIT_API_SECRET= +# URL pointing to the LiveKit server. (example: `wss://my-livekit-project.livekit.cloud`) +LIVEKIT_URL=http://localhost:10101 + + +# OPTIONAL SETTINGS +# ################# +# Recording +# S3_KEY_ID= +# S3_KEY_SECRET= +# S3_ENDPOINT= +# S3_BUCKET= +# S3_REGION= + +# PUBLIC +# Uncomment settings menu when using a LiveKit Cloud, it'll enable Krisp noise filters. +# NEXT_PUBLIC_SHOW_SETTINGS_MENU=true +# NEXT_PUBLIC_LK_RECORD_ENDPOINT=/api/record + +# Optional, to pipe logs to datadog +# NEXT_PUBLIC_DATADOG_CLIENT_TOKEN=client-token +# NEXT_PUBLIC_DATADOG_SITE=datadog-site + diff --git a/software/source/clients/meet/.eslintrc.json b/software/source/clients/meet/.eslintrc.json new file mode 100644 index 0000000..bffb357 --- /dev/null +++ b/software/source/clients/meet/.eslintrc.json @@ -0,0 +1,3 @@ +{ + "extends": "next/core-web-vitals" +} diff --git a/software/source/clients/meet/.github/assets/livekit-mark.png b/software/source/clients/meet/.github/assets/livekit-mark.png new file mode 100644 index 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/software/source/clients/meet/README.md b/software/source/clients/meet/README.md new file mode 100644 index 0000000..6f1b23d --- /dev/null +++ b/software/source/clients/meet/README.md @@ -0,0 +1,16 @@ +# LiveKit Meet Client + +This is a clone of the LiveKit Meet open source video conferencing app built on [LiveKit Components](https://github.com/livekit/components-js), [LiveKit Cloud](https://livekit.io/cloud), and Next.js. Used as a simple web interface to the 01 with screenshare and camera functionality. Can be run using a fully local model, STT, and TTS. + +## Usage + +Run the following command in the software directory to open a Meet instance. + +``` +poetry run 01 --server livekit --meet +``` + + +## Setup + +Ensure that you're in the meet directory. Then run `pnpm install` to install all dependencies. You're now all set to get up and running! diff --git a/software/source/clients/meet/app/api/connection-details/route.ts b/software/source/clients/meet/app/api/connection-details/route.ts new file mode 100644 index 0000000..48d73e1 --- /dev/null +++ b/software/source/clients/meet/app/api/connection-details/route.ts @@ -0,0 +1,81 @@ +import { randomString } from '@/lib/client-utils'; +import { ConnectionDetails } from '@/lib/types'; +import { AccessToken, AccessTokenOptions, VideoGrant } from 'livekit-server-sdk'; +import { NextRequest, NextResponse } from 'next/server'; + +const API_KEY = process.env.LIVEKIT_API_KEY; +const API_SECRET = process.env.LIVEKIT_API_SECRET; +const LIVEKIT_URL = process.env.LIVEKIT_URL; + +export async function GET(request: NextRequest) { + try { + // Parse query parameters + const roomName = request.nextUrl.searchParams.get('roomName'); + const participantName = request.nextUrl.searchParams.get('participantName'); + const metadata = request.nextUrl.searchParams.get('metadata') ?? ''; + const region = request.nextUrl.searchParams.get('region'); + const livekitServerUrl = region ? getLiveKitURL(region) : LIVEKIT_URL; + if (livekitServerUrl === undefined) { + throw new Error('Invalid region'); + } + + if (typeof roomName !== 'string') { + return new NextResponse('Missing required query parameter: roomName', { status: 400 }); + } + if (participantName === null) { + return new NextResponse('Missing required query parameter: participantName', { status: 400 }); + } + + // Generate participant token + const participantToken = await createParticipantToken( + { + identity: `${participantName}__${randomString(4)}`, + name: participantName, + metadata, + }, + roomName, + ); + + // Return connection details + const data: ConnectionDetails = { + serverUrl: livekitServerUrl, + roomName: roomName, + participantToken: participantToken, + participantName: participantName, + }; + return NextResponse.json(data); + } catch (error) { + if (error instanceof Error) { + return new NextResponse(error.message, { status: 500 }); + } + } +} + +function createParticipantToken(userInfo: AccessTokenOptions, roomName: string) { + const at = new AccessToken(API_KEY, API_SECRET, userInfo); + at.ttl = '5m'; + const grant: VideoGrant = { + room: roomName, + roomJoin: true, + canPublish: true, + canPublishData: true, + canSubscribe: true, + }; + at.addGrant(grant); + return at.toJwt(); +} + +/** + * Get the LiveKit server URL for the given region. + */ +function getLiveKitURL(region: string | null): string { + let targetKey = 'LIVEKIT_URL'; + if (region) { + targetKey = `LIVEKIT_URL_${region}`.toUpperCase(); + } + const url = process.env[targetKey]; + if (!url) { + throw new Error(`${targetKey} is not defined`); + } + return url; +} diff --git a/software/source/clients/meet/app/api/record/start/route.ts b/software/source/clients/meet/app/api/record/start/route.ts new file mode 100644 index 0000000..dfe88f5 --- /dev/null +++ b/software/source/clients/meet/app/api/record/start/route.ts @@ -0,0 +1,70 @@ +import { EgressClient, EncodedFileOutput, S3Upload } from 'livekit-server-sdk'; +import { NextRequest, NextResponse } from 'next/server'; + +export async function GET(req: NextRequest) { + try { + const roomName = req.nextUrl.searchParams.get('roomName'); + + /** + * CAUTION: + * for simplicity this implementation does not authenticate users and therefore allows anyone with knowledge of a roomName + * to start/stop recordings for that room. + * DO NOT USE THIS FOR PRODUCTION PURPOSES AS IS + */ + + if (roomName === null) { + return new NextResponse('Missing roomName parameter', { status: 403 }); + } + + const { + LIVEKIT_API_KEY, + LIVEKIT_API_SECRET, + LIVEKIT_URL, + S3_KEY_ID, + S3_KEY_SECRET, + S3_BUCKET, + S3_ENDPOINT, + S3_REGION, + } = process.env; + + const hostURL = new URL(LIVEKIT_URL!); + hostURL.protocol = 'https:'; + + const egressClient = new EgressClient(hostURL.origin, LIVEKIT_API_KEY, LIVEKIT_API_SECRET); + + const existingEgresses = await egressClient.listEgress({ roomName }); + if (existingEgresses.length > 0 && existingEgresses.some((e) => e.status < 2)) { + return new NextResponse('Meeting is already being recorded', { status: 409 }); + } + + const fileOutput = new EncodedFileOutput({ + filepath: `${new Date(Date.now()).toISOString()}-${roomName}.mp4`, + output: { + case: 's3', + value: new S3Upload({ + endpoint: S3_ENDPOINT, + accessKey: S3_KEY_ID, + secret: S3_KEY_SECRET, + region: S3_REGION, + bucket: S3_BUCKET, + }), + }, + }); + + await egressClient.startRoomCompositeEgress( + roomName, + { + file: fileOutput, + }, + { + layout: 'speaker', + }, + ); + + return new NextResponse(null, { status: 200 }); + } catch (error) { + if (error instanceof Error) { + return new NextResponse(error.message, { status: 500 }); + } + } +} diff --git a/software/source/clients/meet/app/api/record/stop/route.ts b/software/source/clients/meet/app/api/record/stop/route.ts new file mode 100644 index 0000000..e2630ac --- /dev/null +++ b/software/source/clients/meet/app/api/record/stop/route.ts @@ -0,0 +1,39 @@ +import { EgressClient } from 'livekit-server-sdk'; +import { NextRequest, NextResponse } from 'next/server'; + +export async function GET(req: NextRequest) { + try { + const roomName = req.nextUrl.searchParams.get('roomName'); + + /** + * CAUTION: + * for simplicity this implementation does not authenticate users and therefore allows anyone with knowledge of a roomName + * to start/stop recordings for that room. + * DO NOT USE THIS FOR PRODUCTION PURPOSES AS IS + */ + + if (roomName === null) { + return new NextResponse('Missing roomName parameter', { status: 403 }); + } + + const { LIVEKIT_API_KEY, LIVEKIT_API_SECRET, LIVEKIT_URL } = process.env; + + const hostURL = new URL(LIVEKIT_URL!); + hostURL.protocol = 'https:'; + + const egressClient = new EgressClient(hostURL.origin, LIVEKIT_API_KEY, LIVEKIT_API_SECRET); + const activeEgresses = (await egressClient.listEgress({ roomName })).filter( + (info) => info.status < 2, + ); + if (activeEgresses.length === 0) { + return new NextResponse('No active recording found', { status: 404 }); + } + await Promise.all(activeEgresses.map((info) => egressClient.stopEgress(info.egressId))); + + return new NextResponse(null, { status: 200 }); + } catch (error) { + if (error instanceof Error) { + return new NextResponse(error.message, { status: 500 }); + } + } +} diff --git a/software/source/clients/meet/app/components/VideoConference.tsx b/software/source/clients/meet/app/components/VideoConference.tsx new file mode 100644 index 0000000..0e08755 --- /dev/null +++ b/software/source/clients/meet/app/components/VideoConference.tsx @@ -0,0 +1,210 @@ +import type { + MessageDecoder, + MessageEncoder, + TrackReferenceOrPlaceholder, + WidgetState, + } from '@livekit/components-react'; + import { isTrackReference } from '@livekit/components-react'; + import { log } from './logger'; + import { isWeb } from './detectMobileBrowser'; + import { isEqualTrackRef } from './track-reference'; + import { RoomEvent, Track } from 'livekit-client'; + import * as React from 'react'; + import type { MessageFormatter } from '@livekit/components-react'; + import { + CarouselLayout, + ConnectionStateToast, + FocusLayout, + FocusLayoutContainer, + GridLayout, + LayoutContextProvider, + ParticipantTile, + RoomAudioRenderer, + } from '@livekit/components-react'; + import { useCreateLayoutContext } from '@livekit/components-react'; + import { usePinnedTracks, useTracks } from '@livekit/components-react'; + import { ControlBar } from '@livekit/components-react'; + import { useWarnAboutMissingStyles } from './useWarnAboutMissingStyles'; + import { useLocalParticipant } from '@livekit/components-react'; + + /** + * @public + */ + export interface VideoConferenceProps extends React.HTMLAttributes { + chatMessageFormatter?: MessageFormatter; + chatMessageEncoder?: MessageEncoder; + chatMessageDecoder?: MessageDecoder; + /** @alpha */ + SettingsComponent?: React.ComponentType; + } + + /** + * The `VideoConference` ready-made component is your drop-in solution for a classic video conferencing application. + * It provides functionality such as focusing on one participant, grid view with pagination to handle large numbers + * of participants, basic non-persistent chat, screen sharing, and more. + * + * @remarks + * The component is implemented with other LiveKit components like `FocusContextProvider`, + * `GridLayout`, `ControlBar`, `FocusLayoutContainer` and `FocusLayout`. + * You can use these components as a starting point for your own custom video conferencing application. + * + * @example + * ```tsx + * + * + * + * ``` + * @public + */ + export function VideoConference({ + chatMessageFormatter, + chatMessageDecoder, + chatMessageEncoder, + SettingsComponent, + ...props + }: VideoConferenceProps) { + const [widgetState, setWidgetState] = React.useState({ + showChat: false, + unreadMessages: 0, + showSettings: false, + }); + const lastAutoFocusedScreenShareTrack = React.useRef(null); + + const tracks = useTracks( + [ + { source: Track.Source.Camera, withPlaceholder: true }, + { source: Track.Source.ScreenShare, withPlaceholder: false }, + ], + { updateOnlyOn: [RoomEvent.ActiveSpeakersChanged], onlySubscribed: false }, + ); + + const widgetUpdate = (state: WidgetState) => { + log.debug('updating widget state', state); + setWidgetState(state); + }; + + const layoutContext = useCreateLayoutContext(); + + const screenShareTracks = tracks + .filter(isTrackReference) + .filter((track) => track.publication.source === Track.Source.ScreenShare); + + const focusTrack = usePinnedTracks(layoutContext)?.[0]; + const carouselTracks = tracks.filter((track) => !isEqualTrackRef(track, focusTrack)); + + const { localParticipant } = useLocalParticipant(); + + const [isAlwaysListening, setIsAlwaysListening] = React.useState(false); + + const toggleAlwaysListening = () => { + const newValue = !isAlwaysListening; + setIsAlwaysListening(newValue); + handleAlwaysListeningToggle(newValue); + }; + + const handleAlwaysListeningToggle = (newValue: boolean) => { + + if (newValue) { + console.log("SETTING VIDEO CONTEXT ON") + const data = new TextEncoder().encode("{VIDEO_CONTEXT_ON}") + localParticipant.publishData(data, {reliable: true, topic: "video_context"}) + } else { + console.log("SETTING VIDEO CONTEXT OFF") + const data = new TextEncoder().encode("{VIDEO_CONTEXT_OFF}") + localParticipant.publishData(data, {reliable: true, topic: "video_context"}) + } + } + + React.useEffect(() => { + // If screen share tracks are published, and no pin is set explicitly, auto set the screen share. + if ( + screenShareTracks.some((track) => track.publication.isSubscribed) && + lastAutoFocusedScreenShareTrack.current === null + ) { + log.debug('Auto set screen share focus:', { newScreenShareTrack: screenShareTracks[0] }); + layoutContext.pin.dispatch?.({ msg: 'set_pin', trackReference: screenShareTracks[0] }); + lastAutoFocusedScreenShareTrack.current = screenShareTracks[0]; + } else if ( + lastAutoFocusedScreenShareTrack.current && + !screenShareTracks.some( + (track) => + track.publication.trackSid === + lastAutoFocusedScreenShareTrack.current?.publication?.trackSid, + ) + ) { + log.debug('Auto clearing screen share focus.'); + layoutContext.pin.dispatch?.({ msg: 'clear_pin' }); + lastAutoFocusedScreenShareTrack.current = null; + } + if (focusTrack && !isTrackReference(focusTrack)) { + const updatedFocusTrack = tracks.find( + (tr) => + tr.participant.identity === focusTrack.participant.identity && + tr.source === focusTrack.source, + ); + if (updatedFocusTrack !== focusTrack && isTrackReference(updatedFocusTrack)) { + layoutContext.pin.dispatch?.({ msg: 'set_pin', trackReference: updatedFocusTrack }); + } + } + }, [ + screenShareTracks + .map((ref) => `${ref.publication.trackSid}_${ref.publication.isSubscribed}`) + .join(), + focusTrack?.publication?.trackSid, + tracks, + ]); + + useWarnAboutMissingStyles(); + + return ( +

+ {isWeb() && ( + +
+ {!focusTrack ? ( +
+ + + +
+ ) : ( +
+ + + + + {focusTrack && } + +
+ )} + + + +
+ {SettingsComponent && ( +
+ +
+ )} +
+ )} + + +
+ ); + } + \ No newline at end of file diff --git a/software/source/clients/meet/app/components/detectMobileBrowser.ts b/software/source/clients/meet/app/components/detectMobileBrowser.ts new file mode 100644 index 0000000..f3ba40c --- /dev/null +++ b/software/source/clients/meet/app/components/detectMobileBrowser.ts @@ -0,0 +1,20 @@ +/** + * @internal + */ +export function isWeb(): boolean { + return typeof document !== 'undefined'; + } + + /** + * Mobile browser detection based on `navigator.userAgent` string. + * Defaults to returning `false` if not in a browser. + * + * @remarks + * This should only be used if feature detection or other methods do not work! + * + * @see https://developer.mozilla.org/en-US/docs/Web/HTTP/Browser_detection_using_the_user_agent#mobile_device_detection + */ + export function isMobileBrowser(): boolean { + return isWeb() ? /Mobi/i.test(window.navigator.userAgent) : false; + } + \ No newline at end of file diff --git a/software/source/clients/meet/app/components/logger.ts b/software/source/clients/meet/app/components/logger.ts new file mode 100644 index 0000000..39c8f9d --- /dev/null +++ b/software/source/clients/meet/app/components/logger.ts @@ -0,0 +1,56 @@ +import { + setLogLevel as setClientSdkLogLevel, + setLogExtension as setClientSdkLogExtension, + LogLevel as LogLevelEnum, + } from 'livekit-client'; + import loglevel from 'loglevel' + + export const log = loglevel.getLogger('lk-components-js'); + log.setDefaultLevel('WARN'); + + type LogLevel = Parameters[0]; + type SetLogLevelOptions = { + liveKitClientLogLevel?: LogLevel; + }; + + /** + * Set the log level for both the `@livekit/components-react` package and the `@livekit-client` package. + * To set the `@livekit-client` log independently, use the `liveKitClientLogLevel` prop on the `options` object. + * @public + */ + export function setLogLevel(level: LogLevel, options: SetLogLevelOptions = {}): void { + log.setLevel(level); + setClientSdkLogLevel(options.liveKitClientLogLevel ?? level); + } + + type LogExtension = (level: LogLevel, msg: string, context?: object) => void; + type SetLogExtensionOptions = { + liveKitClientLogExtension?: LogExtension; + }; + + /** + * Set the log extension for both the `@livekit/components-react` package and the `@livekit-client` package. + * To set the `@livekit-client` log extension, use the `liveKitClientLogExtension` prop on the `options` object. + * @public + */ + export function setLogExtension(extension: LogExtension, options: SetLogExtensionOptions = {}) { + const originalFactory = log.methodFactory; + + log.methodFactory = (methodName, configLevel, loggerName) => { + const rawMethod = originalFactory(methodName, configLevel, loggerName); + + const logLevel = LogLevelEnum[methodName]; + const needLog = logLevel >= configLevel && logLevel < LogLevelEnum.silent; + + return (msg, context?: [msg: string, context: object]) => { + if (context) rawMethod(msg, context); + else rawMethod(msg); + if (needLog) { + extension(logLevel, msg, context); + } + }; + }; + log.setLevel(log.getLevel()); // Be sure to call setLevel method in order to apply plugin + setClientSdkLogExtension(options.liveKitClientLogExtension ?? extension); + } + \ No newline at end of file diff --git a/software/source/clients/meet/app/components/mergeProps.ts b/software/source/clients/meet/app/components/mergeProps.ts new file mode 100644 index 0000000..c1bee7c --- /dev/null +++ b/software/source/clients/meet/app/components/mergeProps.ts @@ -0,0 +1,87 @@ +/* + * Copyright 2020 Adobe. All rights reserved. + * This file is licensed to you under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. You may obtain a copy + * of the License at http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software distributed under + * the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR REPRESENTATIONS + * OF ANY KIND, either express or implied. See the License for the specific language + * governing permissions and limitations under the License. + */ + +import clsx from 'clsx'; + +/** + * Calls all functions in the order they were chained with the same arguments. + * @internal + */ +export function chain(...callbacks: any[]): (...args: any[]) => void { + return (...args: any[]) => { + for (const callback of callbacks) { + if (typeof callback === 'function') { + try { + callback(...args); + } catch (e) { + console.error(e); + } + } + } + }; +} + +interface Props { + [key: string]: any; +} + +// taken from: https://stackoverflow.com/questions/51603250/typescript-3-parameter-list-intersection-type/51604379#51604379 +type TupleTypes = { [P in keyof T]: T[P] } extends { [key: number]: infer V } ? V : never; +type UnionToIntersection = (U extends any ? (k: U) => void : never) extends (k: infer I) => void + ? I + : never; + +/** + * Merges multiple props objects together. Event handlers are chained, + * classNames are combined, and ids are deduplicated - different ids + * will trigger a side-effect and re-render components hooked up with `useId`. + * For all other props, the last prop object overrides all previous ones. + * @param args - Multiple sets of props to merge together. + * @internal + */ +export function mergeProps(...args: T): UnionToIntersection> { + // Start with a base clone of the first argument. This is a lot faster than starting + // with an empty object and adding properties as we go. + const result: Props = { ...args[0] }; + for (let i = 1; i < args.length; i++) { + const props = args[i]; + for (const key in props) { + const a = result[key]; + const b = props[key]; + + // Chain events + if ( + typeof a === 'function' && + typeof b === 'function' && + // This is a lot faster than a regex. + key[0] === 'o' && + key[1] === 'n' && + key.charCodeAt(2) >= /* 'A' */ 65 && + key.charCodeAt(2) <= /* 'Z' */ 90 + ) { + result[key] = chain(a, b); + + // Merge classnames, sometimes classNames are empty string which eval to false, so we just need to do a type check + } else if ( + (key === 'className' || key === 'UNSAFE_className') && + typeof a === 'string' && + typeof b === 'string' + ) { + result[key] = clsx(a, b); + } else { + result[key] = b !== undefined ? b : a; + } + } + } + + return result as UnionToIntersection>; +} diff --git a/software/source/clients/meet/app/components/track-reference-types.ts b/software/source/clients/meet/app/components/track-reference-types.ts new file mode 100644 index 0000000..94f6db5 --- /dev/null +++ b/software/source/clients/meet/app/components/track-reference-types.ts @@ -0,0 +1,73 @@ +/** + * The TrackReference type is a logical grouping of participant publication and/or subscribed track. + * + */ + +import type { Participant, Track, TrackPublication } from 'livekit-client'; +// ## TrackReference Types + +/** @public */ +export type TrackReferencePlaceholder = { + participant: Participant; + publication?: never; + source: Track.Source; +}; + +/** @public */ +export type TrackReference = { + participant: Participant; + publication: TrackPublication; + source: Track.Source; +}; + +/** @public */ +export type TrackReferenceOrPlaceholder = TrackReference | TrackReferencePlaceholder; + +// ### TrackReference Type Predicates +/** @internal */ +export function isTrackReference(trackReference: unknown): trackReference is TrackReference { + if (typeof trackReference === 'undefined') { + return false; + } + return ( + isTrackReferenceSubscribed(trackReference as TrackReference) || + isTrackReferencePublished(trackReference as TrackReference) + ); +} + +function isTrackReferenceSubscribed(trackReference?: TrackReferenceOrPlaceholder): boolean { + if (!trackReference) { + return false; + } + return ( + trackReference.hasOwnProperty('participant') && + trackReference.hasOwnProperty('source') && + trackReference.hasOwnProperty('track') && + typeof trackReference.publication?.track !== 'undefined' + ); +} + +function isTrackReferencePublished(trackReference?: TrackReferenceOrPlaceholder): boolean { + if (!trackReference) { + return false; + } + return ( + trackReference.hasOwnProperty('participant') && + trackReference.hasOwnProperty('source') && + trackReference.hasOwnProperty('publication') && + typeof trackReference.publication !== 'undefined' + ); +} + +export function isTrackReferencePlaceholder( + trackReference?: TrackReferenceOrPlaceholder, +): trackReference is TrackReferencePlaceholder { + if (!trackReference) { + return false; + } + return ( + trackReference.hasOwnProperty('participant') && + trackReference.hasOwnProperty('source') && + typeof trackReference.publication === 'undefined' + ); +} diff --git a/software/source/clients/meet/app/components/track-reference.ts b/software/source/clients/meet/app/components/track-reference.ts new file mode 100644 index 0000000..ea7d28b --- /dev/null +++ b/software/source/clients/meet/app/components/track-reference.ts @@ -0,0 +1,97 @@ +import type { Track } from 'livekit-client'; +import type { PinState } from './types'; +import type { TrackReferenceOrPlaceholder } from './track-reference-types'; +import { isTrackReference, isTrackReferencePlaceholder } from './track-reference-types'; + +/** + * Returns a id to identify the `TrackReference` or `TrackReferencePlaceholder` based on + * participant, track source and trackSid. + * @remarks + * The id pattern is: `${participantIdentity}_${trackSource}_${trackSid}` for `TrackReference` + * and `${participantIdentity}_${trackSource}_placeholder` for `TrackReferencePlaceholder`. + */ +export function getTrackReferenceId(trackReference: TrackReferenceOrPlaceholder | number) { + if (typeof trackReference === 'string' || typeof trackReference === 'number') { + return `${trackReference}`; + } else if (isTrackReferencePlaceholder(trackReference)) { + return `${trackReference.participant.identity}_${trackReference.source}_placeholder`; + } else if (isTrackReference(trackReference)) { + return `${trackReference.participant.identity}_${trackReference.publication.source}_${trackReference.publication.trackSid}`; + } else { + throw new Error(`Can't generate a id for the given track reference: ${trackReference}`); + } +} + +export type TrackReferenceId = ReturnType; + +/** Returns the Source of the TrackReference. */ +export function getTrackReferenceSource(trackReference: TrackReferenceOrPlaceholder): Track.Source { + if (isTrackReference(trackReference)) { + return trackReference.publication.source; + } else { + return trackReference.source; + } +} + +export function isEqualTrackRef( + a?: TrackReferenceOrPlaceholder, + b?: TrackReferenceOrPlaceholder, +): boolean { + if (a === undefined || b === undefined) { + return false; + } + if (isTrackReference(a) && isTrackReference(b)) { + return a.publication.trackSid === b.publication.trackSid; + } else { + return getTrackReferenceId(a) === getTrackReferenceId(b); + } +} + +/** + * Check if the `TrackReference` is pinned. + */ +export function isTrackReferencePinned( + trackReference: TrackReferenceOrPlaceholder, + pinState: PinState | undefined, +): boolean { + if (typeof pinState === 'undefined') { + return false; + } + if (isTrackReference(trackReference)) { + return pinState.some( + (pinnedTrackReference) => + pinnedTrackReference.participant.identity === trackReference.participant.identity && + isTrackReference(pinnedTrackReference) && + pinnedTrackReference.publication.trackSid === trackReference.publication.trackSid, + ); + } else if (isTrackReferencePlaceholder(trackReference)) { + return pinState.some( + (pinnedTrackReference) => + pinnedTrackReference.participant.identity === trackReference.participant.identity && + isTrackReferencePlaceholder(pinnedTrackReference) && + pinnedTrackReference.source === trackReference.source, + ); + } else { + return false; + } +} + +/** + * Check if the current `currentTrackRef` is the placeholder for next `nextTrackRef`. + * Based on the participant identity and the source. + * @internal + */ +export function isPlaceholderReplacement( + currentTrackRef: TrackReferenceOrPlaceholder, + nextTrackRef: TrackReferenceOrPlaceholder, +) { + // if (typeof nextTrackRef === 'number' || typeof currentTrackRef === 'number') { + // return false; + // } + return ( + isTrackReferencePlaceholder(currentTrackRef) && + isTrackReference(nextTrackRef) && + nextTrackRef.participant.identity === currentTrackRef.participant.identity && + nextTrackRef.source === currentTrackRef.source + ); +} diff --git a/software/source/clients/meet/app/components/types.ts b/software/source/clients/meet/app/components/types.ts new file mode 100644 index 0000000..00d9e09 --- /dev/null +++ b/software/source/clients/meet/app/components/types.ts @@ -0,0 +1,90 @@ +import type { Participant, ParticipantKind, Track, TrackPublication } from 'livekit-client'; +import type { TrackReference, TrackReferenceOrPlaceholder } from './track-reference-types'; + +// ## PinState Type +/** @public */ +export type PinState = TrackReferenceOrPlaceholder[]; +export const PIN_DEFAULT_STATE: PinState = []; + +// ## WidgetState Types +/** @public */ +export type WidgetState = { + showChat: boolean; + unreadMessages: number; + showSettings?: boolean; +}; +export const WIDGET_DEFAULT_STATE: WidgetState = { + showChat: false, + unreadMessages: 0, + showSettings: false, +}; + +// ## Track Source Types +export type TrackSourceWithOptions = { source: Track.Source; withPlaceholder: boolean }; + +export type SourcesArray = Track.Source[] | TrackSourceWithOptions[]; + +// ### Track Source Type Predicates +export function isSourceWitOptions(source: SourcesArray[number]): source is TrackSourceWithOptions { + return typeof source === 'object'; +} + +export function isSourcesWithOptions(sources: SourcesArray): sources is TrackSourceWithOptions[] { + return ( + Array.isArray(sources) && + (sources as TrackSourceWithOptions[]).filter(isSourceWitOptions).length > 0 + ); +} + +// ## Loop Filter Types +export type TrackReferenceFilter = Parameters['0']; +export type ParticipantFilter = Parameters['0']; + +// ## Other Types +/** @internal */ +export interface ParticipantClickEvent { + participant: Participant; + track?: TrackPublication; +} + +export type TrackSource = RequireAtLeastOne< + { source: T; name: string; participant: Participant }, + 'name' | 'source' +>; + +export type ParticipantTrackIdentifier = RequireAtLeastOne< + { sources: Track.Source[]; name: string; kind: Track.Kind }, + 'sources' | 'name' | 'kind' +>; + +/** + * @beta + */ +export type ParticipantIdentifier = RequireAtLeastOne< + { kind: ParticipantKind; identity: string }, + 'identity' | 'kind' +>; + +/** + * The TrackIdentifier type is used to select Tracks either based on + * - Track.Source and/or name of the track, e.g. `{source: Track.Source.Camera}` or `{name: "my-track"}` + * - TrackReference (participant and publication) + * @internal + */ +export type TrackIdentifier = + | TrackSource + | TrackReference; + +// ## Util Types +type RequireAtLeastOne = Pick> & + { + [K in Keys]-?: Required> & Partial>>; + }[Keys]; + +export type RequireOnlyOne = Pick> & + { + [K in Keys]-?: Required> & Partial, undefined>>; + }[Keys]; + +export type AudioSource = Track.Source.Microphone | Track.Source.ScreenShareAudio; +export type VideoSource = Track.Source.Camera | Track.Source.ScreenShare; diff --git a/software/source/clients/meet/app/components/useWarnAboutMissingStyles.ts b/software/source/clients/meet/app/components/useWarnAboutMissingStyles.ts new file mode 100644 index 0000000..623cbec --- /dev/null +++ b/software/source/clients/meet/app/components/useWarnAboutMissingStyles.ts @@ -0,0 +1,11 @@ +import * as React from 'react'; +import { warnAboutMissingStyles } from './utils'; + +/** + * @internal + */ +export function useWarnAboutMissingStyles() { + React.useEffect(() => { + warnAboutMissingStyles(); + }, []); +} diff --git a/software/source/clients/meet/app/components/utils.ts b/software/source/clients/meet/app/components/utils.ts new file mode 100644 index 0000000..e1b2d6f --- /dev/null +++ b/software/source/clients/meet/app/components/utils.ts @@ -0,0 +1,62 @@ +import * as React from 'react'; +import { mergeProps as mergePropsReactAria } from './mergeProps' +import { log } from './logger'; +import clsx from 'clsx'; + +/** @internal */ +export function isProp>( + prop: T | undefined, +): prop is T { + return prop !== undefined; +} + +/** @internal */ +export function mergeProps< + U extends HTMLElement, + T extends Array | undefined>, +>(...props: T) { + return mergePropsReactAria(...props.filter(isProp)); +} + +/** @internal */ +export function cloneSingleChild( + children: React.ReactNode | React.ReactNode[], + props?: Record, + key?: any, +) { + return React.Children.map(children, (child) => { + // Checking isValidElement is the safe way and avoids a typescript + // error too. + if (React.isValidElement(child) && React.Children.only(children)) { + if (child.props.class) { + // make sure we retain classnames of both passed props and child + props ??= {}; + props.class = clsx(child.props.class, props.class); + props.style = { ...child.props.style, ...props.style }; + } + return React.cloneElement(child, { ...props, key }); + } + return child; + }); +} + +/** + * @internal + */ +export function warnAboutMissingStyles(el?: HTMLElement) { + if ( + typeof window !== 'undefined' && + typeof process !== 'undefined' && + // eslint-disable-next-line turbo/no-undeclared-env-vars + (process?.env?.NODE_ENV === 'dev' || + // eslint-disable-next-line turbo/no-undeclared-env-vars + process?.env?.NODE_ENV === 'development') + ) { + const target = el ?? document.querySelector('.lk-room-container'); + if (target && !getComputedStyle(target).getPropertyValue('--lk-has-imported-styles')) { + log.warn( + "It looks like you're not using the `@livekit/components-styles package`. To render the UI with the default styling, please import it in your layout or page.", + ); + } + } +} diff --git a/software/source/clients/meet/app/custom/VideoConferenceClientImpl.tsx b/software/source/clients/meet/app/custom/VideoConferenceClientImpl.tsx new file mode 100644 index 0000000..4dbedc3 --- /dev/null +++ b/software/source/clients/meet/app/custom/VideoConferenceClientImpl.tsx @@ -0,0 +1,79 @@ +'use client'; + +import { formatChatMessageLinks, LiveKitRoom } from '@livekit/components-react'; +import { + ExternalE2EEKeyProvider, + LogLevel, + Room, + RoomConnectOptions, + RoomOptions, + VideoPresets, + type VideoCodec, +} from 'livekit-client'; +import { DebugMode } from '@/lib/Debug'; +import { useMemo } from 'react'; +import { decodePassphrase } from '@/lib/client-utils'; +import { SettingsMenu } from '@/lib/SettingsMenu'; +import { VideoConference } from '../components/VideoConference' + +export function VideoConferenceClientImpl(props: { + liveKitUrl: string; + token: string; + codec: VideoCodec | undefined; +}) { + const worker = + typeof window !== 'undefined' && + new Worker(new URL('livekit-client/e2ee-worker', import.meta.url)); + const keyProvider = new ExternalE2EEKeyProvider(); + + const e2eePassphrase = + typeof window !== 'undefined' ? decodePassphrase(window.location.hash.substring(1)) : undefined; + const e2eeEnabled = !!(e2eePassphrase && worker); + const roomOptions = useMemo((): RoomOptions => { + return { + publishDefaults: { + videoSimulcastLayers: [VideoPresets.h540, VideoPresets.h216], + red: !e2eeEnabled, + videoCodec: props.codec, + }, + adaptiveStream: { pixelDensity: 'screen' }, + dynacast: true, + e2ee: e2eeEnabled + ? { + keyProvider, + worker, + } + : undefined, + }; + }, []); + + const room = useMemo(() => new Room(roomOptions), []); + if (e2eeEnabled) { + keyProvider.setKey(e2eePassphrase); + room.setE2EEEnabled(true); + } + const connectOptions = useMemo((): RoomConnectOptions => { + return { + autoSubscribe: true, + }; + }, []); + + return ( + + + + + ); +} diff --git a/software/source/clients/meet/app/custom/page.tsx b/software/source/clients/meet/app/custom/page.tsx new file mode 100644 index 0000000..3b78a75 --- /dev/null +++ b/software/source/clients/meet/app/custom/page.tsx @@ -0,0 +1,28 @@ +import { videoCodecs } from 'livekit-client'; +import { VideoConferenceClientImpl } from './VideoConferenceClientImpl'; +import { isVideoCodec } from '@/lib/types'; + +export default function CustomRoomConnection(props: { + searchParams: { + liveKitUrl?: string; + token?: string; + codec?: string; + }; +}) { + const { liveKitUrl, token, codec } = props.searchParams; + if (typeof liveKitUrl !== 'string') { + return

Missing LiveKit URL

; + } + if (typeof token !== 'string') { + return

Missing LiveKit token

; + } + if (codec !== undefined && !isVideoCodec(codec)) { + return

Invalid codec, if defined it has to be [{videoCodecs.join(', ')}].

; + } + + return ( +
+ +
+ ); +} diff --git a/software/source/clients/meet/app/layout.tsx b/software/source/clients/meet/app/layout.tsx new file mode 100644 index 0000000..bf35374 --- /dev/null +++ b/software/source/clients/meet/app/layout.tsx @@ -0,0 +1,56 @@ +import '../styles/globals.css'; +import '@livekit/components-styles'; +import '@livekit/components-styles/prefabs'; +import type { Metadata, Viewport } from 'next'; + +export const metadata: Metadata = { + title: { + default: 'LiveKit Meet | Conference app build with LiveKit open source', + template: '%s', + }, + description: + 'LiveKit is an open source WebRTC project that gives you everything needed to build scalable and real-time audio and/or video experiences in your applications.', + twitter: { + creator: '@livekitted', + site: '@livekitted', + card: 'summary_large_image', + }, + openGraph: { + url: 'https://meet.livekit.io', + images: [ + { + url: 'https://meet.livekit.io/images/livekit-meet-open-graph.png', + width: 2000, + height: 1000, + type: 'image/png', + }, + ], + siteName: 'LiveKit Meet', + }, + icons: { + icon: { + rel: 'icon', + url: '/favicon.ico', + }, + apple: [ + { + rel: 'apple-touch-icon', + url: '/images/livekit-apple-touch.png', + sizes: '180x180', + }, + { rel: 'mask-icon', url: '/images/livekit-safari-pinned-tab.svg', color: '#070707' }, + ], + }, +}; + +export const viewport: Viewport = { + themeColor: '#070707', +}; + +export default function RootLayout({ children }: { children: React.ReactNode }) { + return ( + + {children} + + ); +} diff --git a/software/source/clients/meet/app/page.tsx b/software/source/clients/meet/app/page.tsx new file mode 100644 index 0000000..d23d536 --- /dev/null +++ b/software/source/clients/meet/app/page.tsx @@ -0,0 +1,201 @@ +'use client'; + +import { useRouter, useSearchParams } from 'next/navigation'; +import React, { Suspense, useState } from 'react'; +import { encodePassphrase, generateRoomId, randomString } from '@/lib/client-utils'; +import styles from '../styles/Home.module.css'; + +function Tabs(props: React.PropsWithChildren<{}>) { + const searchParams = useSearchParams(); + const tabIndex = searchParams?.get('tab') === 'custom' ? 1 : 0; + + const router = useRouter(); + function onTabSelected(index: number) { + const tab = index === 1 ? 'custom' : 'demo'; + router.push(`/?tab=${tab}`); + } + + let tabs = React.Children.map(props.children, (child, index) => { + return ( + + ); + }); + + return ( +
+
{tabs}
+ {/* @ts-ignore */} + {props.children[tabIndex]} +
+ ); +} + +function DemoMeetingTab(props: { label: string }) { + const router = useRouter(); + const [e2ee, setE2ee] = useState(false); + const [sharedPassphrase, setSharedPassphrase] = useState(randomString(64)); + const startMeeting = () => { + if (e2ee) { + router.push(`/rooms/${generateRoomId()}#${encodePassphrase(sharedPassphrase)}`); + } else { + router.push(`/rooms/${generateRoomId()}`); + } + }; + return ( +
+

Try LiveKit Meet for free with our live demo project.

+ +
+
+ setE2ee(ev.target.checked)} + > + +
+ {e2ee && ( +
+ + setSharedPassphrase(ev.target.value)} + /> +
+ )} +
+
+ ); +} + +function CustomConnectionTab(props: { label: string }) { + const router = useRouter(); + + const [e2ee, setE2ee] = useState(false); + const [sharedPassphrase, setSharedPassphrase] = useState(randomString(64)); + + const onSubmit: React.FormEventHandler = (event) => { + event.preventDefault(); + const formData = new FormData(event.target as HTMLFormElement); + const serverUrl = formData.get('serverUrl'); + const token = formData.get('token'); + if (e2ee) { + router.push( + `/custom/?liveKitUrl=${serverUrl}&token=${token}#${encodePassphrase(sharedPassphrase)}`, + ); + } else { + router.push(`/custom/?liveKitUrl=${serverUrl}&token=${token}`); + } + }; + return ( +
+

+ Connect LiveKit Meet with a custom server using LiveKit Cloud or LiveKit Server. +

+ +