Add dialout to the Daily phone example (#998)
* added dialout to daily phone example * cleanup * cleanup * pre-commit hook * Fix typo * More explicit README instructions --------- Co-authored-by: Mark Backman <mark@daily.co>
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chadbailey59
134
examples/phone-chatbot/bot_daily.py
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134
examples/phone-chatbot/bot_daily.py
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import argparse
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import asyncio
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import os
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import sys
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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.frames.frames import EndFrame
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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.services.elevenlabs import ElevenLabsTTSService
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from pipecat.services.openai import OpenAILLMService
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from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport
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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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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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async def main(room_url: str, token: str, callId: str, callDomain: str, dialout_number: str | None):
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# dialin_settings are only needed if Daily's SIP URI is used
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# If you are handling this via Twilio, Telnyx, set this to None
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# and handle call-forwarding when on_dialin_ready fires.
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dialin_settings = DailyDialinSettings(call_id=callId, call_domain=callDomain)
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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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api_url=daily_api_url,
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api_key=daily_api_key,
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dialin_settings=dialin_settings,
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audio_in_enabled=True,
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audio_out_enabled=True,
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camera_out_enabled=False,
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vad_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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tts = ElevenLabsTTSService(
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api_key=os.getenv("ELEVENLABS_API_KEY", ""),
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voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""),
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)
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llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
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messages = [
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{
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"role": "system",
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"content": "You are Chatbot, a friendly, helpful robot. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio so don't include special characters in your answers. Respond to what the user said in a creative and helpful way, but keep your responses brief. Start by saying 'Oh, hello! I'm a friendly chatbot. How can I help you?'.",
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},
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]
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context = OpenAILLMContext(messages)
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context_aggregator = llm.create_context_aggregator(context)
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pipeline = Pipeline(
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[
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transport.input(),
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context_aggregator.user(),
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llm,
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tts,
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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(pipeline, PipelineParams(allow_interruptions=True))
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if dialout_number:
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logger.debug("dialout number detected; doing dialout")
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# Configure some handlers for dialing out
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@transport.event_handler("on_joined")
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async def on_joined(transport, data):
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logger.debug(f"Joined; starting dialout to: {dialout_number}")
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await transport.start_dialout({"phoneNumber": dialout_number})
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@transport.event_handler("on_dialout_connected")
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async def on_dialout_connected(transport, data):
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logger.debug(f"Dial-out connected: {data}")
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@transport.event_handler("on_dialout_answered")
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async def on_dialout_answered(transport, data):
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logger.debug(f"Dial-out answered: {data}")
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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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await transport.capture_participant_transcription(participant["id"])
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# unlike the dialin case, for the dialout case, the caller will speak first. Presumably
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# they will answer the phone and say "Hello?" Since we've captured their transcript,
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# That will put a frame into the pipeline and prompt an LLM completion, which is how the
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# bot will then greet the user.
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else:
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logger.debug("no dialout number; assuming dialin")
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# Different handlers for dialin
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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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await transport.capture_participant_transcription(participant["id"])
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# For the dialin case, we want the bot to answer the phone and greet the user. We
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# can prompt the bot to speak by putting the context into the pipeline.
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await task.queue_frames([context_aggregator.user().get_context_frame()])
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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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await task.queue_frame(EndFrame())
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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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parser = argparse.ArgumentParser(description="Pipecat Simple ChatBot")
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parser.add_argument("-u", type=str, help="Room URL")
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parser.add_argument("-t", type=str, help="Token")
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parser.add_argument("-i", type=str, help="Call ID")
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parser.add_argument("-d", type=str, help="Call Domain")
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parser.add_argument("-o", type=str, help="Dialout number", default=None)
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config = parser.parse_args()
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asyncio.run(main(config.u, config.t, config.i, config.d, config.o))
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