Add call transfer to bot_daily

examples/dialin-chatbot/bot_daily.py

@@ -1,3 +1,8 @@
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
 import argparse
 import asyncio
 import os
@@ -5,6 +10,7 @@ import sys
 
 from dotenv import load_dotenv
 from loguru import logger
+from openai.types.chat import ChatCompletionToolParam
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import EndFrame
@@ -12,6 +18,8 @@ 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.ai_services import LLMService
+from pipecat.services.deepgram import DeepgramSTTService
 from pipecat.services.elevenlabs import ElevenLabsTTSService
 from pipecat.services.openai import OpenAILLMService
 from pipecat.transports.services.daily import DailyDialinSettings, DailyParams, DailyTransport
@@ -55,14 +63,44 @@ async def main(room_url: str, token: str, callId: str, callDomain: str):
 
     llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
 
+    content = f"""
+You are a delivery service customer support specialist supporting customers with their orders. 
+Begin with: "Hello, this is Hailey from customer support. What can I help you with today?"
+    """
+
     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 'Oh, hello! Who dares dial me at this hour?!'.",
+            "content": content,
         },
     ]
 
-    context = OpenAILLMContext(messages)
+    tools = [
+        ChatCompletionToolParam(
+            type="function",
+            function={
+                "name": "transfer_call",
+                "description": "Transfer the call to a person. This function is used to connect the call to a real person. Examples of real people are: managers, supervisors, or other customer support specialists. Any person is okay as long as they are not a bot.",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "call_id": {
+                            "type": "string",
+                            "description": "This is always {callId}.",
+                        },
+                        "summary": {
+                            "type": "string",
+                            "description": """
+Provide a concise summary in 3-5 sentences. Highlight any  important details or unusual aspects of the conversation.
+                            """,
+                        },
+                    },
+                },
+            },
+        )
+    ]
+
+    context = OpenAILLMContext(messages, tools)
     context_aggregator = llm.create_context_aggregator(context)
 
     pipeline = Pipeline(
@@ -87,6 +125,44 @@ async def main(room_url: str, token: str, callId: str, callDomain: str):
     async def on_participant_left(transport, participant, reason):
         await task.queue_frame(EndFrame())
 
+    @transport.event_handler("on_dialin_ready")
+    async def on_dialin_ready(_, sip_endpoint):
+        logger.info(f"on_dialin_ready: {sip_endpoint}")
+
+    @transport.event_handler("on_dialin_connected")
+    async def on_dialin_connected(transport, event):
+        logger.info(f"on_dialin_connected: {event}")
+        sip_session_id = event["sessionId"]
+
+        async def transfer_call(
+            function_name, tool_call_id, args, llm: LLMService, context, result_callback
+        ):
+            logger.debug(f"transfer_call: {function_name} {tool_call_id} {args}")
+
+            # sip_url = "sip:your_user_name@sip.linphone.org"
+
+            sip_url = (
+                f"sip:your_username@dailyco.sip.twilio.com?x-daily_id={room_url.split('/')[-1]}"
+            )
+
+            try:
+                await transport.sip_refer(
+                    settings={
+                        "sessionId": sip_session_id,
+                        "toEndPoint": sip_url,
+                    }
+                )
+            except Exception as e:
+                logger.error(f"An error occurred during SIP refer: {e}")
+                await result_callback({"transfer_call": False})
+
+            await result_callback({"transfer_call": True})
+
+        llm.register_function(
+            function_name="transfer_call",
+            callback=transfer_call,
+        )
+
     runner = PipelineRunner()
 
     await runner.run(task)