137 lines
4.2 KiB
Python
137 lines
4.2 KiB
Python
#
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# Copyright (c) 2024–2025, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import asyncio
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import os
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import sys
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import aiohttp
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from dotenv import load_dotenv
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from loguru import logger
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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from pipecat.transports.services.helpers.daily_rest import (
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DailyMeetingTokenParams,
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DailyMeetingTokenProperties,
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DailyRESTHelper,
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DailyRoomParams,
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)
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load_dotenv(override=True)
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logger.remove(0)
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logger.add(sys.stderr, level="DEBUG")
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async def main():
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"""Main bot execution function."""
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async with aiohttp.ClientSession() as session:
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daily_rest_helper = DailyRESTHelper(
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daily_api_key=os.getenv("DAILY_API_KEY"),
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daily_api_url=os.getenv("DAILY_API_URL", "https://api.daily.co/v1"),
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aiohttp_session=session,
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)
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room = await daily_rest_helper.create_room(
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DailyRoomParams(properties={"enable_prejoin_ui": False})
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)
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token_params = DailyMeetingTokenParams(
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properties=DailyMeetingTokenProperties(
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is_owner=True,
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permissions={
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"hasPresence": False, # Example: join as a hidden participant
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},
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start_video_off=True,
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start_audio_off=True,
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)
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)
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token = await daily_rest_helper.get_token(room_url=room.url, params=token_params)
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# Set up Daily transport with video/audio parameters
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transport = DailyTransport(
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room.url,
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token,
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"Chatbot",
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DailyParams(
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audio_in_enabled=True,
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vad_analyzer=SileroVADAnalyzer(),
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transcription_enabled=True,
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),
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)
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# Initialize LLM service
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llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
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messages = [
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{
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"role": "system",
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"content": "Summerize the conversation so far in a single sentence.",
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},
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]
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# Set up conversation context and management
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# The context_aggregator will automatically collect conversation context
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context = OpenAILLMContext(messages)
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context_aggregator = llm.create_context_aggregator(context)
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#
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# RTVI events for Pipecat client UI
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#
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rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
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pipeline = Pipeline(
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[
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transport.input(),
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rtvi,
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context_aggregator.user(),
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llm,
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transport.output(),
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context_aggregator.assistant(),
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]
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)
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task = PipelineTask(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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enable_usage_metrics=True,
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),
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observers=[RTVIObserver(rtvi)],
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)
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@rtvi.event_handler("on_client_ready")
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async def on_client_ready(rtvi):
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await rtvi.set_bot_ready()
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# Kick off the conversation
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await task.queue_frames([context_aggregator.user().get_context_frame()])
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@transport.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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print(f"Participant joined: {participant}")
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await transport.capture_participant_transcription(participant["id"])
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@transport.event_handler("on_participant_left")
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async def on_participant_left(transport, participant, reason):
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print(f"Participant left: {participant}")
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await task.cancel()
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runner = PipelineRunner()
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await runner.run(task)
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if __name__ == "__main__":
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asyncio.run(main())
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