transfer call

api/services/pipecat/event_handlers.py

@@ -80,14 +80,29 @@ def register_event_handlers(
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(_transport, _participant):
         call_disposed = engine.is_call_disposed()
+        transfer_in_progress = getattr(engine, '_transfer_in_progress', False)
+        
+        logger.info(f"[TRANSFER-DEBUG] on_client_disconnected triggered")
+        logger.info(f"[TRANSFER-DEBUG] Engine instance ID in event_handler: {id(engine)}")
+        logger.info(f"[TRANSFER-DEBUG] Engine type in event_handler: {type(engine)}")
+        logger.info(f"[TRANSFER-DEBUG] transfer_in_progress attribute exists: {hasattr(engine, '_transfer_in_progress')}")
+        logger.info(f"[TRANSFER-DEBUG] transfer_in_progress value: {transfer_in_progress}")
+        logger.info(f"[TRANSFER-DEBUG] Call disposed: {call_disposed}")
+        
         logger.debug(
-            f"In on_client_disconnected callback handler. Call disposed: {call_disposed}"
+            f"In on_client_disconnected callback handler. Call disposed: {call_disposed}, "
+            f"Transfer in progress: {transfer_in_progress}"
         )
 
         # Stop recordings
         await audio_buffer.stop_recording()
 
-        # End the call
+        # Skip auto hang-up if transfer is in progress
+        if transfer_in_progress:
+            logger.info("Transfer in progress - skipping auto hang-up, letting redirect handle call")
+            return
+        logger.info("Transfer in progress - False, proceeding with hang up")
+        # Normal hang-up logic for non-transfer disconnections
         await engine.end_call_with_reason(
             EndTaskReason.USER_HANGUP.value, abort_immediately=True
         )

api/services/pipecat/pipeline_builder.py

@@ -71,6 +71,12 @@ def build_pipeline(
             user_context_aggregator,
             llm,  # LLM
             pipeline_engine_callback_processor,
+        ]
+    )
+    
+    
+    processors.extend(
+        [
             tts,  # TTS
             transport.output(),  # Transport bot output
             audio_buffer,  # AudioBufferProcessor - records both input and output audio

api/services/pipecat/run_pipeline.py

@@ -115,6 +115,7 @@ async def run_pipeline_twilio(
     # Create audio configuration for Twilio
     audio_config = create_audio_config(WorkflowRunMode.TWILIO.value)
 
+
     transport = await create_twilio_transport(
         websocket_client,
         stream_sid,
@@ -125,6 +126,7 @@ async def run_pipeline_twilio(
         vad_config,
         ambient_noise_config,
     )
+    
     await _run_pipeline(
         transport,
         workflow_id,
@@ -543,6 +545,7 @@ async def _run_pipeline(
 
     engine = PipecatEngine(
         llm=llm,
+        transport=transport,
         workflow=workflow_graph,
         call_context_vars=merged_call_context_vars,
         workflow_run_id=workflow_run_id,
@@ -552,7 +555,7 @@ async def _run_pipeline(
         embeddings_base_url=embeddings_base_url,
     )
 
-    # Create pipeline components with audio configuration
+    # Create pipeline components
     audio_buffer, context = create_pipeline_components(audio_config)
 
     # Set the context and audio_buffer after creation

api/services/pipecat/transport_setup.py

@@ -24,6 +24,7 @@ from pipecat.transports.websocket.fastapi import (
     FastAPIWebsocketParams,
     FastAPIWebsocketTransport,
 )
+from loguru import logger
 
 librnnoise_path = os.path.normpath(
     str(APP_ROOT_DIR / "native" / "rnnoise" / "librnnoise.so")