import argparse import asyncio import os import sys from dotenv import load_dotenv from loguru import logger from twilio.rest import Client from pipecat.audio.vad.silero import SileroVADAnalyzer from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.task import PipelineParams, PipelineTask from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext from pipecat.services.elevenlabs import ElevenLabsTTSService from pipecat.services.openai import OpenAILLMService from pipecat.transports.services.daily import DailyParams, DailyTransport load_dotenv(override=True) logger.remove(0) logger.add(sys.stderr, level="DEBUG") twilio_account_sid = os.getenv("TWILIO_ACCOUNT_SID") twilio_auth_token = os.getenv("TWILIO_AUTH_TOKEN") twilioclient = Client(twilio_account_sid, twilio_auth_token) daily_api_key = os.getenv("DAILY_API_KEY", "") async def main(room_url: str, token: str, callId: str, sipUri: str): # dialin_settings are only needed if Daily's SIP URI is used # If you are handling this via Twilio, Telnyx, set this to None # and handle call-forwarding when on_dialin_ready fires. transport = DailyTransport( room_url, token, "Chatbot", DailyParams( api_key=daily_api_key, dialin_settings=None, # Not required for Twilio audio_in_enabled=True, audio_out_enabled=True, camera_out_enabled=False, vad_enabled=True, vad_analyzer=SileroVADAnalyzer(), transcription_enabled=True, ), ) tts = ElevenLabsTTSService( api_key=os.getenv("ELEVENLABS_API_KEY", ""), voice_id=os.getenv("ELEVENLABS_VOICE_ID", ""), ) llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o") messages = [ { "role": "system", "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 'Hello! Who dares dial me at this hour?!'.", }, ] context = OpenAILLMContext(messages) context_aggregator = llm.create_context_aggregator(context) pipeline = Pipeline( [ transport.input(), context_aggregator.user(), llm, tts, transport.output(), context_aggregator.assistant(), ] ) task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True)) @transport.event_handler("on_first_participant_joined") async def on_first_participant_joined(transport, participant): await transport.capture_participant_transcription(participant["id"]) await task.queue_frames([context_aggregator.user().get_context_frame()]) @transport.event_handler("on_participant_left") async def on_participant_left(transport, participant, reason): await task.cancel() @transport.event_handler("on_dialin_ready") async def on_dialin_ready(transport, cdata): # For Twilio, Telnyx, etc. You need to update the state of the call # and forward it to the sip_uri.. print(f"Forwarding call: {callId} {sipUri}") try: # The TwiML is updated using Twilio's client library call = twilioclient.calls(callId).update( twiml=f"{sipUri}" ) except Exception as e: raise Exception(f"Failed to forward call: {str(e)}") runner = PipelineRunner() await runner.run(task) if __name__ == "__main__": parser = argparse.ArgumentParser(description="Pipecat Simple ChatBot") parser.add_argument("-u", type=str, help="Room URL") parser.add_argument("-t", type=str, help="Token") parser.add_argument("-i", type=str, help="Call ID") parser.add_argument("-s", type=str, help="SIP URI") config = parser.parse_args() asyncio.run(main(config.u, config.t, config.i, config.s))