chore: rename PipelineTask to PipelineWorker

api/services/pipecat/event_handlers.py

@@ -21,7 +21,7 @@ from api.tasks.function_names import FunctionNames
 from pipecat.frames.frames import (
     Frame,
 )
-from pipecat.pipeline.task import PipelineTask
+from pipecat.pipeline.worker import PipelineWorker
 from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor
 from pipecat.utils.enums import EndTaskReason
 
@@ -58,7 +58,7 @@ async def _capture_call_event(
 
 
 def register_event_handlers(
-    task: PipelineTask,
+    task: PipelineWorker,
     transport,
     workflow_run_id: int,
     engine: PipecatEngine,
@@ -184,13 +184,13 @@ def register_event_handlers(
         )
 
     @task.event_handler("on_pipeline_started")
-    async def on_pipeline_started(_task: PipelineTask, _frame: Frame):
+    async def on_pipeline_started(_task: PipelineWorker, _frame: Frame):
         logger.debug("In on_pipeline_started callback handler")
         ready_state["pipeline_started"] = True
         await maybe_trigger_initial_response()
 
     @task.event_handler("on_pipeline_error")
-    async def on_pipeline_error(_task: PipelineTask, frame: Frame):
+    async def on_pipeline_error(_task: PipelineWorker, frame: Frame):
         logger.warning(f"Pipeline error for workflow run {workflow_run_id}: {frame}")
         try:
             workflow_run = await db_client.get_workflow_run_by_id(workflow_run_id)
@@ -218,7 +218,7 @@ def register_event_handlers(
 
     @task.event_handler("on_pipeline_finished")
     async def on_pipeline_finished(
-        task: PipelineTask,
+        task: PipelineWorker,
         _frame: Frame,
     ):
         logger.debug(f"In on_pipeline_finished callback handler")

api/services/pipecat/pipeline_builder.py

@@ -4,7 +4,7 @@ from loguru import logger
 
 from api.services.pipecat.audio_config import AudioConfig
 from pipecat.pipeline.pipeline import Pipeline
-from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.pipeline.worker import PipelineParams, PipelineWorker
 from pipecat.processors.aggregators.llm_context import LLMContext
 from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor
 from pipecat.utils.run_context import turn_var
@@ -194,7 +194,7 @@ def create_pipeline_task(
             f"out: {audio_config.transport_out_sample_rate}Hz"
         )
 
-    task = PipelineTask(
+    task = PipelineWorker(
         pipeline,
         params=pipeline_params,
         enable_tracing=True,

api/services/pipecat/run_pipeline.py

@@ -61,7 +61,6 @@ from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnal
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.audio.vad.vad_analyzer import VADParams
 from pipecat.extensions.voicemail.voicemail_detector import VoicemailDetector
-from pipecat.pipeline.base_task import PipelineTaskParams
 from pipecat.processors.aggregators.llm_response_universal import (
     LLMAssistantAggregatorParams,
     LLMContextAggregatorPair,
@@ -88,6 +87,7 @@ from pipecat.turns.user_stop import (
 from pipecat.turns.user_turn_strategies import UserTurnStrategies
 from pipecat.utils.enums import EndTaskReason, RealtimeFeedbackType
 from pipecat.utils.run_context import set_current_org_id, set_current_run_id
+from pipecat.workers.base_worker import WorkerParams
 
 # Setup tracing if enabled
 ensure_tracing()
@@ -822,7 +822,7 @@ async def _run_pipeline(
     try:
         # Run the pipeline
         loop = asyncio.get_running_loop()
-        params = PipelineTaskParams(loop=loop)
+        params = WorkerParams(loop=loop)
         await task.run(params)
         logger.info(f"Task completed for run {workflow_run_id}")
     except asyncio.CancelledError:

api/services/workflow/pipecat_engine.py

@@ -10,7 +10,7 @@ from pipecat.frames.frames import (
     LLMContextFrame,
     TTSSpeakFrame,
 )
-from pipecat.pipeline.task import PipelineTask
+from pipecat.pipeline.worker import PipelineWorker
 from pipecat.processors.aggregators.llm_context import LLMContext
 from pipecat.services.llm_service import FunctionCallParams
 from pipecat.services.settings import LLMSettings
@@ -60,7 +60,7 @@ class PipecatEngine:
     def __init__(
         self,
         *,
-        task: Optional[PipelineTask] = None,
+        task: Optional[PipelineWorker] = None,
         llm: Optional["LLMService"] = None,
         inference_llm: Optional["LLMService"] = None,
         context: Optional[LLMContext] = None,
@@ -842,7 +842,7 @@ class PipecatEngine:
         """
         self.context = context
 
-    def set_task(self, task: PipelineTask) -> None:
+    def set_task(self, task: PipelineWorker) -> None:
         """Set the pipeline task.
 
         This allows setting the task after the engine has been created,