Just start with the user idle timer

examples/foundational/17-detect-user-idle.py

@@ -6,16 +6,30 @@
 
 import argparse
 import os
+from dataclasses import dataclass
 
 from dotenv import load_dotenv
 from loguru import logger
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
-from pipecat.frames.frames import EndFrame, LLMMessagesFrame, TTSSpeakFrame
+from pipecat.frames.frames import (
+    BotSpeakingFrame,
+    BotStartedSpeakingFrame,
+    BotStoppedSpeakingFrame,
+    EndFrame,
+    Frame,
+    LLMMessagesFrame,
+    StartInterruptionFrame,
+    TTSSpeakFrame,
+    UserStartedSpeakingFrame,
+    UserStoppedSpeakingFrame,
+)
+from pipecat.observers.base_observer import BaseObserver
 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, FrameProcessor
 from pipecat.processors.user_idle_processor import UserIdleProcessor
 from pipecat.services.cartesia.tts import CartesiaTTSService
 from pipecat.services.deepgram.stt import DeepgramSTTService
@@ -27,6 +41,84 @@ from pipecat.transports.network.webrtc_connection import SmallWebRTCConnection
 load_dotenv(override=True)
 
 
+class DebugObserver(BaseObserver):
+    """Observer to log interruptions and bot speaking events to the console.
+
+    Logs all frame instances of:
+    - StartInterruptionFrame
+    - BotStartedSpeakingFrame
+    - BotStoppedSpeakingFrame
+
+    This allows you to see the frame flow from processor to processor through the pipeline for these frames.
+    Log format: [EVENT TYPE]: [source processor] → [destination processor] at [timestamp]s
+    """
+
+    async def on_push_frame(
+        self,
+        src: FrameProcessor,
+        dst: FrameProcessor,
+        frame: Frame,
+        direction: FrameDirection,
+        timestamp: int,
+    ):
+        # Convert timestamp to seconds for readability
+        time_sec = timestamp / 1_000_000_000
+
+        # Create direction arrow
+        arrow = "→" if direction == FrameDirection.DOWNSTREAM else "←"
+
+        if isinstance(frame, StartInterruptionFrame):
+            logger.info(f"⚡ INTERRUPTION START: {src} {arrow} {dst} at {time_sec:.2f}s")
+        elif isinstance(frame, BotStartedSpeakingFrame):
+            logger.info(f"🤖 BOT START SPEAKING: {src} {arrow} {dst} at {time_sec:.2f}s")
+        elif isinstance(frame, BotStoppedSpeakingFrame):
+            logger.info(f"🤖 BOT STOP SPEAKING: {src} {arrow} {dst} at {time_sec:.2f}s")
+
+
+@dataclass
+class StartConversationFrame(Frame):
+    """Frame to initiate a conversation.
+
+    This frame is used to signal the start of a conversation in the pipeline.
+    It can be used to trigger specific actions or responses from the system.
+    """
+
+    pass
+
+
+class ConversationStarterProcessor(FrameProcessor):
+    def __init__(self, message: str = "Hi! I'm a default message!"):
+        super().__init__()
+        self.message = message
+        self._user_stopped_speaking_count = 0
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection) -> None:
+        """Say a default message when the user starts speaking.
+
+        This processor listens for the UserStartedSpeakingFrame and sends a default message
+        when the user starts speaking for the first time.
+
+        Args:
+            frame: The frame to process
+            direction: Direction of the frame flow
+        """
+        await super().process_frame(frame, direction)
+
+        if isinstance(frame, (StartConversationFrame, UserStoppedSpeakingFrame)):
+            self._user_stopped_speaking_count += 1
+            logger.info(
+                f"++ {frame.name} User stopped speaking, count: {self._user_stopped_speaking_count}"
+            )
+            if self._user_stopped_speaking_count == 1:
+                # First time user started speaking, send the message
+                await self.push_frame(TTSSpeakFrame(self.message))
+            else:
+                await self.push_frame(frame)
+        else:
+            # Pass through other frames
+            await self.push_frame(frame)
+
+
 async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespace):
     logger.info(f"Starting bot")
 
@@ -59,15 +151,10 @@ async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespac
     context_aggregator = llm.create_context_aggregator(context)
 
     async def handle_user_idle(user_idle: UserIdleProcessor, retry_count: int) -> bool:
+        logger.info(f"User idle, timeout : {user_idle._timeout} retry count: {retry_count}")
         if retry_count == 1:
-            # First attempt: Add a gentle prompt to the conversation
-            messages.append(
-                {
-                    "role": "system",
-                    "content": "The user has been quiet. Politely and briefly ask if they're still there.",
-                }
-            )
-            await user_idle.push_frame(LLMMessagesFrame(messages))
+            # First attempt: Trigger the conversation starter
+            await user_idle.push_frame(StartConversationFrame())
             return True
         elif retry_count == 2:
             # Second attempt: More direct prompt
@@ -84,16 +171,19 @@ async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespac
             await user_idle.push_frame(
                 TTSSpeakFrame("It seems like you're busy right now. Have a nice day!")
             )
-            await task.queue_frame(EndFrame())
+            await user_idle.push_frame(EndFrame(), FrameDirection.UPSTREAM)
             return False
 
-    user_idle = UserIdleProcessor(callback=handle_user_idle, timeout=5.0)
+    user_idle = UserIdleProcessor(callback=handle_user_idle, timeout=4.0)
+
+    conversation_starter = ConversationStarterProcessor(message="This is a default message.")
 
     pipeline = Pipeline(
         [
             transport.input(),  # Transport user input
             stt,
             user_idle,  # Idle user check-in
+            conversation_starter,
             context_aggregator.user(),
             llm,  # LLM
             tts,  # TTS
@@ -108,15 +198,15 @@ async def run_bot(webrtc_connection: SmallWebRTCConnection, _: argparse.Namespac
             allow_interruptions=True,
             enable_metrics=True,
             report_only_initial_ttfb=True,
+            observers=[DebugObserver()],
         ),
     )
 
     @transport.event_handler("on_client_connected")
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
-        # Kick off the conversation.
-        messages.append({"role": "system", "content": "Please introduce yourself to the user."})
-        await task.queue_frames([context_aggregator.user().get_context_frame()])
+        # Start the user idle timer
+        await task.queue_frames([BotSpeakingFrame()])
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):