188 lines
6.7 KiB
Python
188 lines
6.7 KiB
Python
#
|
||
# Copyright (c) 2024–2025, Daily
|
||
#
|
||
# SPDX-License-Identifier: BSD 2-Clause License
|
||
#
|
||
import argparse
|
||
import asyncio
|
||
import os
|
||
import sys
|
||
|
||
from call_connection_manager import CallConfigManager
|
||
from dotenv import load_dotenv
|
||
from loguru import logger
|
||
|
||
from pipecat.adapters.schemas.function_schema import FunctionSchema
|
||
from pipecat.adapters.schemas.tools_schema import ToolsSchema
|
||
from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||
from pipecat.frames.frames import EndTaskFrame
|
||
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.processors.frame_processor import FrameDirection
|
||
from pipecat.services.cartesia.tts import CartesiaTTSService
|
||
from pipecat.services.llm_service import LLMService
|
||
from pipecat.services.openai.llm import OpenAILLMService
|
||
from pipecat.transports.services.daily import DailyParams, DailyTransport
|
||
|
||
load_dotenv(override=True)
|
||
|
||
logger.remove(0)
|
||
logger.add(sys.stderr, level="DEBUG")
|
||
|
||
daily_api_key = os.getenv("DAILY_API_KEY", "")
|
||
daily_api_url = os.getenv("DAILY_API_URL", "https://api.daily.co/v1")
|
||
|
||
|
||
async def main(
|
||
room_url: str,
|
||
token: str,
|
||
body: dict,
|
||
):
|
||
# ------------ CONFIGURATION AND SETUP ------------
|
||
|
||
# Create a config manager using the provided body
|
||
call_config_manager = CallConfigManager.from_json_string(body) if body else CallConfigManager()
|
||
|
||
# Get important configuration values
|
||
dialout_settings = call_config_manager.get_dialout_settings()
|
||
test_mode = call_config_manager.is_test_mode()
|
||
|
||
# ------------ TRANSPORT SETUP ------------
|
||
|
||
transport_params = DailyParams(
|
||
api_url=daily_api_url,
|
||
api_key=daily_api_key,
|
||
audio_in_enabled=True,
|
||
audio_out_enabled=True,
|
||
camera_out_enabled=False,
|
||
vad_enabled=True,
|
||
vad_analyzer=SileroVADAnalyzer(),
|
||
transcription_enabled=True,
|
||
)
|
||
|
||
# Initialize transport with Daily
|
||
transport = DailyTransport(
|
||
room_url,
|
||
token,
|
||
"Simple Dial-out Bot",
|
||
transport_params,
|
||
)
|
||
|
||
# Initialize TTS
|
||
tts = CartesiaTTSService(
|
||
api_key=os.getenv("CARTESIA_API_KEY", ""),
|
||
voice_id="b7d50908-b17c-442d-ad8d-810c63997ed9", # Use Helpful Woman voice by default
|
||
)
|
||
|
||
# ------------ FUNCTION DEFINITIONS ------------
|
||
|
||
async def terminate_call(
|
||
function_name, tool_call_id, args, llm: LLMService, context, result_callback
|
||
):
|
||
"""Function the bot can call to terminate the call upon completion of a voicemail message."""
|
||
await llm.queue_frame(EndTaskFrame(), FrameDirection.UPSTREAM)
|
||
|
||
# Define function schemas for tools
|
||
terminate_call_function = FunctionSchema(
|
||
name="terminate_call",
|
||
description="Call this function to terminate the call.",
|
||
properties={},
|
||
required=[],
|
||
)
|
||
|
||
# Create tools schema
|
||
tools = ToolsSchema(standard_tools=[terminate_call_function])
|
||
|
||
# ------------ LLM AND CONTEXT SETUP ------------
|
||
|
||
# Set up the system instruction for the LLM
|
||
system_instruction = """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 introducing yourself. If the user ends the conversation, **IMMEDIATELY** call the `terminate_call` function. """
|
||
|
||
# Initialize LLM
|
||
llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
|
||
|
||
# Register functions with the LLM
|
||
llm.register_function("terminate_call", terminate_call)
|
||
|
||
# Create system message and initialize messages list
|
||
messages = [call_config_manager.create_system_message(system_instruction)]
|
||
|
||
# Initialize LLM context and aggregator
|
||
context = OpenAILLMContext(messages, tools)
|
||
context_aggregator = llm.create_context_aggregator(context)
|
||
|
||
# ------------ PIPELINE SETUP ------------
|
||
|
||
# Build pipeline
|
||
pipeline = Pipeline(
|
||
[
|
||
transport.input(), # Transport user input
|
||
context_aggregator.user(), # User responses
|
||
llm, # LLM
|
||
tts, # TTS
|
||
transport.output(), # Transport bot output
|
||
context_aggregator.assistant(), # Assistant spoken responses
|
||
]
|
||
)
|
||
|
||
# Create pipeline task
|
||
task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
|
||
|
||
# ------------ EVENT HANDLERS ------------
|
||
|
||
@transport.event_handler("on_joined")
|
||
async def on_joined(transport, data):
|
||
# Start dialout if needed
|
||
if not test_mode and dialout_settings:
|
||
logger.debug("Dialout settings detected; starting dialout")
|
||
await call_config_manager.start_dialout(transport, dialout_settings)
|
||
|
||
@transport.event_handler("on_dialout_connected")
|
||
async def on_dialout_connected(transport, data):
|
||
logger.debug(f"Dial-out connected: {data}")
|
||
|
||
@transport.event_handler("on_dialout_answered")
|
||
async def on_dialout_answered(transport, data):
|
||
logger.debug(f"Dial-out answered: {data}")
|
||
# Automatically start capturing transcription for the participant
|
||
await transport.capture_participant_transcription(data["sessionId"])
|
||
# The bot will wait to hear the user before the bot speaks
|
||
|
||
@transport.event_handler("on_first_participant_joined")
|
||
async def on_first_participant_joined(transport, participant):
|
||
if test_mode:
|
||
logger.debug(f"First participant joined: {participant['id']}")
|
||
await transport.capture_participant_transcription(participant["id"])
|
||
# The bot will wait to hear the user before the bot speaks
|
||
|
||
@transport.event_handler("on_participant_left")
|
||
async def on_participant_left(transport, participant, reason):
|
||
logger.debug(f"Participant left: {participant}, reason: {reason}")
|
||
await task.cancel()
|
||
|
||
# ------------ RUN PIPELINE ------------
|
||
|
||
if test_mode:
|
||
logger.debug("Running in test mode (can be tested in Daily Prebuilt)")
|
||
|
||
runner = PipelineRunner()
|
||
await runner.run(task)
|
||
|
||
|
||
if __name__ == "__main__":
|
||
parser = argparse.ArgumentParser(description="Simple Dial-out Bot")
|
||
parser.add_argument("-u", "--url", type=str, help="Room URL")
|
||
parser.add_argument("-t", "--token", type=str, help="Room Token")
|
||
parser.add_argument("-b", "--body", type=str, help="JSON configuration string")
|
||
|
||
args = parser.parse_args()
|
||
|
||
# Log the arguments for debugging
|
||
logger.info(f"Room URL: {args.url}")
|
||
logger.info(f"Token: {args.token}")
|
||
logger.info(f"Body provided: {bool(args.body)}")
|
||
|
||
asyncio.run(main(args.url, args.token, args.body))
|