Rename BaseTask → BaseWorker and reserve "task" for asyncio

Replaces every "task" identifier that referred to the BaseTask
abstraction with "worker". Asyncio task plumbing (asyncio.Task,
BaseTaskManager, TaskManager, create_task, cancel_task, etc.) stays
untouched. Highlights:

- Classes: BaseTask → BaseWorker, PipelineTask → PipelineWorker,
  LLMTask → LLMWorker, LLMContextTask → LLMContextWorker, TaskBus →
  WorkerBus, TaskRegistry → WorkerRegistry, TaskActivationArgs →
  WorkerActivationArgs, TaskReadyData → WorkerReadyData,
  TaskRegistryEntry → WorkerRegistryEntry, TaskObserver →
  WorkerObserver, all Bus*TaskMessage → Bus*WorkerMessage,
  BusAddTaskMessage.task field → worker, BusWorkerRegistryMessage.tasks
  field → workers.
- Methods/decorators: activate_task → activate_worker, deactivate_task
  → deactivate_worker, add_task → add_worker, watch_task →
  watch_worker, @task_ready → @worker_ready, setup_pipeline_task hook
  → setup_pipeline_worker.
- Params/fields: FrameProcessorSetup.pipeline_task and
  FunctionCallParams.pipeline_task → pipeline_worker. Parameter names
  like task_name → worker_name; spawn/run accept worker:.
- Files: pipeline/base_task.py → base_worker.py, pipeline/task.py →
  worker.py (plus a re-export shim at pipeline/task.py),
  task_observer.py → worker_observer.py, task_ready_decorator.py →
  worker_ready_decorator.py, pipecat.tasks → pipecat.workers,
  llm_task.py → llm_worker.py, llm_context_task.py →
  llm_context_worker.py, examples/multi-task → examples/multi-worker.

Back-compat:
- PipelineTask kept as a deprecated subclass of PipelineWorker that
  warns on construction.
- pipecat.pipeline.task re-exports PipelineWorker/PipelineTask/etc. so
  existing user imports keep working.
- FrameProcessor.pipeline_task kept as a deprecated property that
  forwards to pipeline_worker.

Local variables in examples that hold a worker (task = PipelineTask(...))
are renamed to worker = PipelineWorker(...). Asyncio-task locals
(runner_task, etc.) are preserved.

examples/update-settings/llm/llm-anthropic.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Anthropic LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=AnthropicLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-aws-bedrock.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -101,22 +101,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating AWS Bedrock LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=AWSBedrockLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-aws-nova-sonic.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -73,7 +73,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -86,22 +86,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         context.add_message({"role": "developer", "content": "Tell me a fun fact."})
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating AWS Nova Sonic LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=AWSNovaSonicLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-azure-realtime.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     AssistantTurnStoppedMessage,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -97,11 +97,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_connected")
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Azure Realtime LLM settings: output_modalities=['text']")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(
                 delta=AzureRealtimeLLMService.Settings(
                     session_properties=events.SessionProperties(output_modalities=["text"])
@@ -111,7 +111,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         await asyncio.sleep(10)
         logger.info("Updating Azure Realtime LLM settings: output_modalities=['audio']")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(
                 delta=AzureRealtimeLLMService.Settings(
                     session_properties=events.SessionProperties(output_modalities=["audio"])
@@ -122,11 +122,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-azure.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -101,22 +101,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Azure LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=AzureLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-cerebras.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Cerebras LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=CerebrasLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-deepseek.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating DeepSeek LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=DeepSeekLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-fireworks.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Fireworks LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=FireworksLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-gemini-live-vertex.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -73,7 +73,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -88,22 +88,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Gemini Live Vertex LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=GeminiLiveVertexLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-gemini-live.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -71,7 +71,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -86,22 +86,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Gemini Live LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=GeminiLiveLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-google-vertex.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -101,22 +101,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Google Vertex LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=GoogleVertexLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-google.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Google LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=GoogleLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-grok-realtime.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     AssistantTurnStoppedMessage,
@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,11 +94,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_connected")
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Grok Realtime LLM settings: voice='Rex'")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(
                 delta=GrokRealtimeLLMService.Settings(
                     session_properties=events.SessionProperties(voice="Rex")
@@ -109,11 +109,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-grok.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Grok LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=GrokLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-groq.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Groq LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=GroqLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-mistral.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Mistral LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=MistralLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-nvidia.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating NVIDIA LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=NvidiaLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-ollama.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating OLLama LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=OLLamaLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-openai-realtime.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     AssistantTurnStoppedMessage,
@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,11 +94,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_connected")
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating OpenAI Realtime LLM settings: output_modalities=['text']")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(
                 delta=OpenAIRealtimeLLMService.Settings(
                     session_properties=events.SessionProperties(output_modalities=["text"])
@@ -108,7 +108,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         await asyncio.sleep(10)
         logger.info("Updating OpenAI Realtime LLM settings: output_modalities=['audio']")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(
                 delta=OpenAIRealtimeLLMService.Settings(
                     session_properties=events.SessionProperties(output_modalities=["audio"])
@@ -119,11 +119,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-openai-responses-http.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating OpenAI LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=OpenAIResponsesHttpLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-openai-responses.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,11 +99,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating OpenAI LLM settings: temperature=1")
-        await task.queue_frame(
+        await worker.queue_frame(
             # Known OpenAI Python issue (as of 2026-03-31): setting temperature
             # to non-integer value results in failure.
             # https://github.com/openai/openai-python/issues/2919
@@ -113,11 +113,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-openai.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating OpenAI LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=OpenAILLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-openrouter.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating OpenRouter LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=OpenRouterLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-perplexity.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,22 +94,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Perplexity LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=PerplexityLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-qwen.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Qwen LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=QwenLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-sambanova.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating SambaNova LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=SambaNovaLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-sarvam.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -101,22 +101,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info("Client connected")
         context.add_message({"role": "user", "content": "Please introduce yourself to the user."})
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Sarvam LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=SarvamLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info("Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-together.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Together LLM settings: temperature=0.1")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=TogetherLLMService.Settings(temperature=0.1))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/llm/llm-ultravox-realtime.py

@@ -17,7 +17,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, LLMUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     AssistantTurnStoppedMessage,
@@ -87,7 +87,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -105,28 +105,28 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_connected")
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Ultravox Realtime LLM settings: output_medium=text")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=UltravoxRealtimeLLMService.Settings(output_medium="text"))
         )
 
         await asyncio.sleep(10)
         logger.info("Updating Ultravox Realtime LLM settings: output_medium=voice")
-        await task.queue_frame(
+        await worker.queue_frame(
             LLMUpdateSettingsFrame(delta=UltravoxRealtimeLLMService.Settings(output_medium="voice"))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-assemblyai.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -89,7 +89,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -107,11 +107,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(15)
         logger.info("🔄 Updating keyterms: Adding difficult names for boosting")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(
                 delta=AssemblyAISTTService.Settings(
                     keyterms_prompt=["Xiomara", "Saoirse", "Krzystof", "Nguyen", "Pipecat"]
@@ -123,11 +123,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-aws-transcribe.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating AWS Transcribe STT settings: language=es")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=AWSTranscribeSTTService.Settings(language=Language.ES))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-azure.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -103,22 +103,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Azure STT settings: language=es")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=AzureSTTService.Settings(language=Language.ES))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-cartesia.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Cartesia STT settings: language=es")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=CartesiaSTTService.Settings(language=Language.ES))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-deepgram-flux.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -98,7 +98,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -113,13 +113,13 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         # Update configure-able fields mid-stream (sent via Configure message,
         # no reconnect needed).
         await asyncio.sleep(10)
         logger.info("Updating Deepgram Flux STT settings: eot_threshold, keyterm")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(
                 delta=DeepgramFluxSTTService.Settings(
                     eot_threshold=0.8,
@@ -132,7 +132,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         # Sent as a Configure message — no reconnect needed.
         await asyncio.sleep(10)
         logger.info("Updating Deepgram Flux STT settings: language_hints=[es]")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(
                 delta=DeepgramFluxSTTService.Settings(language_hints=[Language.ES])
             )
@@ -141,11 +141,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-deepgram-sagemaker.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -103,12 +103,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         # NOTE: after this change, the bot will only respond if you speak Spanish
         await asyncio.sleep(10)
         logger.info("Updating Deepgram SageMaker STT settings: language=es, punctuate=False")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(
                 delta=DeepgramSageMakerSTTService.Settings(
                     language=Language.ES,
@@ -120,18 +120,18 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         # Old-style dict update (for backward-compat testing):
         # await asyncio.sleep(10)
         # logger.info("Updating Deepgram SageMaker STT settings via dict: punctuate=False, filler_words=True")
-        # await task.queue_frame(
+        # await worker.queue_frame(
         #     STTUpdateSettingsFrame(settings={"punctuate": False, "filler_words": True})
         # )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-deepgram.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,12 +100,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         # NOTE: after this change, the bot will only respond if you speak Spanish
         await asyncio.sleep(10)
         logger.info("Updating Deepgram STT settings: language=es, punctuate=False")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(
                 delta=DeepgramSTTService.Settings(
                     language=Language.ES,
@@ -117,18 +117,18 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         # Old-style dict update (for backward-compat testing):
         # await asyncio.sleep(10)
         # logger.info("Updating Deepgram STT settings via dict: punctuate=False, filler_words=True")
-        # await task.queue_frame(
+        # await worker.queue_frame(
         #     STTUpdateSettingsFrame(settings={"punctuate": False, "filler_words": True})
         # )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-elevenlabs-realtime.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,11 +100,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating ElevenLabs Realtime STT settings: language=es")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(
                 delta=ElevenLabsRealtimeSTTService.Settings(language=Language.ES)
             )
@@ -113,11 +113,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-elevenlabs.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -90,7 +90,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -105,22 +105,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info("Updating ElevenLabs STT settings: language=es")
-            await task.queue_frame(
+            await worker.queue_frame(
                 STTUpdateSettingsFrame(delta=ElevenLabsSTTService.Settings(language=Language.ES))
             )
 
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-fal.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
-        logger.info('Updating Fal STT settings: task="translate"')
-        await task.queue_frame(
-            STTUpdateSettingsFrame(delta=FalSTTService.Settings(task="translate"))
+        logger.info('Updating Fal STT settings: worker="translate"')
+        await worker.queue_frame(
+            STTUpdateSettingsFrame(delta=FalSTTService.Settings(worker="translate"))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-gladia.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Gladia STT settings: language=es")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=GladiaSTTService.Settings(language=Language.ES))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-google.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Google STT settings: language=es")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=GoogleSTTService.Settings(language=Language.ES))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-gradium.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Gradium STT settings: delay_in_frames=5")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=GradiumSTTService.Settings(delay_in_frames=16))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-groq.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -101,20 +101,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating Groq STT settings: language="es"')
-        await task.queue_frame(STTUpdateSettingsFrame(delta=GroqSTTService.Settings(language="es")))
+        await worker.queue_frame(
+            STTUpdateSettingsFrame(delta=GroqSTTService.Settings(language="es"))
+        )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-nvidia-segmented.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating NVIDIA Segmented STT settings: profanity_filter=True")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=NvidiaSegmentedSTTService.Settings(profanity_filter=True))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-nvidia.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating NVIDIA STT settings: language=es")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=NvidiaSTTService.Settings(language=Language.ES))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-openai-realtime.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating OpenAI Realtime STT settings: language=es")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=OpenAIRealtimeSTTService.Settings(language=Language.ES))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-sarvam.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Sarvam STT settings: language=en-IN")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=SarvamSTTService.Settings(language=Language.EN_IN))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-soniox.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -80,7 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -95,22 +95,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Soniox STT settings: language_hints=[es]")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=SonioxSTTService.Settings(language_hints=[Language.ES]))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-speechmatics.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -92,7 +92,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -107,17 +107,17 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Speechmatics STT settings: language=es")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=SpeechmaticsSTTService.Settings(language=Language.ES))
         )
 
         await asyncio.sleep(10)
         logger.info("Updating Speechmatics STT settings: focus_speakers=['S1']")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(delta=SpeechmaticsSTTService.Settings(focus_speakers=["S1"]))
         )
 
@@ -125,7 +125,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         logger.info(
             "Updating Speechmatics STT settings: speaker_active_format=<SPEAKER_{speaker_id}>{text}</SPEAKER_{speaker_id}>"
         )
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(
                 delta=SpeechmaticsSTTService.Settings(
                     speaker_active_format="<SPEAKER_{speaker_id}>{text}</SPEAKER_{speaker_id}>"
@@ -136,11 +136,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-whisper-api.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -91,7 +91,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -106,20 +106,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating OpenAI STT settings: language="es"')
-        await task.queue_frame(STTUpdateSettingsFrame(delta=BaseWhisperSTTSettings(language="es")))
+        await worker.queue_frame(
+            STTUpdateSettingsFrame(delta=BaseWhisperSTTSettings(language="es"))
+        )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-whisper-mlx.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -103,12 +103,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         # NOTE: after this change, the bot will only respond if you speak Spanish
         await asyncio.sleep(10)
         logger.info("Updating Whisper MLX STT settings: model=TINY")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(
                 delta=WhisperSTTServiceMLX.Settings(
                     model=MLXModel.TINY.value,
@@ -119,11 +119,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/stt/stt-whisper.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -103,11 +103,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Whisper STT settings: model=LARGE")
-        await task.queue_frame(
+        await worker.queue_frame(
             STTUpdateSettingsFrame(
                 delta=WhisperSTTService.Settings(
                     model=Model.LARGE.value,
@@ -118,11 +118,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-asyncai-http.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -90,7 +90,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -105,22 +105,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info("Updating AsyncAI HTTP TTS settings: language=es")
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(delta=AsyncAIHttpTTSService.Settings(language=Language.ES))
             )
 
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-asyncai.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating AsyncAI TTS settings: language=es")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=AsyncAITTSService.Settings(language=Language.ES))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-aws-polly.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,22 +94,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating AWS Polly TTS settings: rate="fast"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=AWSPollyTTSService.Settings(rate="fast"))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-azure-http.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -97,22 +97,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating Azure TTS settings: rate="0.7", style="sad"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=AzureHttpTTSService.Settings(rate="0.7", style="sad"))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-azure.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -97,22 +97,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating Azure TTS settings: rate="0.7", style="sad"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=AzureTTSService.Settings(rate="0.7", style="sad"))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-camb.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -80,7 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -95,11 +95,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Camb TTS settings: language -> Spanish, voice -> Pirate Captain")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(
                 delta=CambTTSService.Settings(language=Language.ES, voice=147319)
             )
@@ -108,11 +108,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-cartesia-http.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,11 +99,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Cartesia HTTP TTS settings: speed increased to 1.5")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(
                 delta=CartesiaHttpTTSService.Settings(generation_config=GenerationConfig(speed=1.5))
             )
@@ -112,11 +112,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-cartesia.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -102,11 +102,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Cartesia TTS settings: speed increased to 1.5")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(
                 delta=CartesiaTTSService.Settings(generation_config=GenerationConfig(speed=1.5))
             )
@@ -115,11 +115,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-deepgram-http.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -101,11 +101,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info('Updating Deepgram TTS settings: voice="aura-2-aries-en"')
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(
                     delta=DeepgramHttpTTSService.Settings(voice="aura-2-aries-en")
                 )
@@ -113,7 +113,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
             await asyncio.sleep(10)
             logger.info('Updating Deepgram TTS settings: voice="aura-2-luna-en"')
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(
                     delta=DeepgramHttpTTSService.Settings(voice="aura-2-luna-en")
                 )
@@ -122,11 +122,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-deepgram-sagemaker.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -83,7 +83,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -98,11 +98,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating Deepgram SageMaker TTS settings: voice="aura-2-aries-en"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(
                 delta=DeepgramSageMakerTTSService.Settings(voice="aura-2-aries-en")
             )
@@ -110,7 +110,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
         await asyncio.sleep(10)
         logger.info('Updating Deepgram SageMaker TTS settings: voice="aura-2-luna-en"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(
                 delta=DeepgramSageMakerTTSService.Settings(voice="aura-2-luna-en")
             )
@@ -119,11 +119,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-deepgram.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,28 +94,28 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating Deepgram TTS settings: voice="aura-2-aries-en"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=DeepgramTTSService.Settings(voice="aura-2-aries-en"))
         )
 
         await asyncio.sleep(10)
         logger.info('Updating Deepgram TTS settings: voice="aura-2-luna-en"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=DeepgramTTSService.Settings(voice="aura-2-luna-en"))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-elevenlabs-http.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -92,7 +92,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -107,22 +107,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info("Updating ElevenLabs TTS settings: speed=0.7")
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(delta=ElevenLabsHttpTTSService.Settings(speed=0.7))
             )
 
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-elevenlabs.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -87,7 +87,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -102,17 +102,17 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating ElevenLabs TTS settings: speed=0.7")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=ElevenLabsTTSService.Settings(speed=0.7))
         )
 
         await asyncio.sleep(10)
         logger.info("Updating ElevenLabs TTS settings: switching to a different voice")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(
                 delta=ElevenLabsTTSService.Settings(
                     voice=os.getenv(
@@ -126,11 +126,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-fish.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Fish Audio TTS settings: prosody_speed=1.5")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=FishAudioTTSService.Settings(prosody_speed=1.5))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-gemini.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -103,11 +103,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating Gemini TTS settings: prompt="Speak slowly and dramatically"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(
                 delta=GeminiTTSService.Settings(prompt="Speak slowly and dramatically")
             )
@@ -116,11 +116,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-google-http.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,22 +94,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Google HTTP TTS settings: speaking_rate=1.4")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=GoogleHttpTTSService.Settings(speaking_rate=1.4))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-google-stream.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,22 +94,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Google Stream TTS settings: speaking_rate=1.4")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=GoogleTTSService.Settings(speaking_rate=1.4))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-gradium.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -97,22 +97,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating Gradium TTS settings: voice="LFZvm12tW_z0xfGo"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=GradiumTTSService.Settings(voice="LFZvm12tW_z0xfGo"))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-groq.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,20 +94,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Groq TTS settings: voice=troy")
-        await task.queue_frame(TTSUpdateSettingsFrame(delta=GroqTTSService.Settings(voice="troy")))
+        await worker.queue_frame(
+            TTSUpdateSettingsFrame(delta=GroqTTSService.Settings(voice="troy"))
+        )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-hume.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -97,11 +97,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating Hume TTS settings: speed=2.0, description="Speak with excitement"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(
                 delta=HumeTTSService.Settings(speed=2.0, description="Speak with excitement")
             )
@@ -110,11 +110,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-inworld-http.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -83,7 +83,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -98,11 +98,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info("Updating Inworld TTS settings: speaking_rate=1.5, temperature=0.8")
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(
                     delta=InworldHttpTTSService.Settings(speaking_rate=1.5, temperature=0.8)
                 )
@@ -111,11 +111,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-inworld.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,11 +94,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Inworld TTS settings: speaking_rate=1.5, temperature=0.8")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(
                 delta=InworldTTSService.Settings(speaking_rate=1.5, temperature=0.8)
             )
@@ -107,11 +107,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-kokoro.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -83,7 +83,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -98,22 +98,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating Kokoro TTS settings: voice="am_adam"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=KokoroTTSService.Settings(voice="am_adam"))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-lmnt.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -97,20 +97,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating LMNT TTS settings: voice="tyler"')
-        await task.queue_frame(TTSUpdateSettingsFrame(delta=LmntTTSService.Settings(voice="tyler")))
+        await worker.queue_frame(
+            TTSUpdateSettingsFrame(delta=LmntTTSService.Settings(voice="tyler"))
+        )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-minimax.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -100,11 +100,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info('Updating MiniMax TTS settings: speed=1.5, emotion="happy"')
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(
                     delta=MiniMaxHttpTTSService.Settings(speed=1.5, emotion="happy")
                 )
@@ -113,11 +113,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-neuphonic-http.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info("Updating Neuphonic HTTP TTS settings: speed=1.4")
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(delta=NeuphonicHttpTTSService.Settings(speed=1.4))
             )
 
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-neuphonic.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,22 +94,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Neuphonic TTS settings: speed=1.4")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=NeuphonicTTSService.Settings(speed=1.4))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-nvidia.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -80,7 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -95,22 +95,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info('Updating NVIDIA TTS settings: language="ES_US"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=NvidiaTTSService.Settings(language=Language.ES_US))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-openai.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             audio_out_sample_rate=24000,
@@ -95,20 +95,20 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating OpenAI TTS settings: speed=2.0")
-        await task.queue_frame(TTSUpdateSettingsFrame(delta=OpenAITTSService.Settings(speed=2.0)))
+        await worker.queue_frame(TTSUpdateSettingsFrame(delta=OpenAITTSService.Settings(speed=2.0)))
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-piper-http.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -101,11 +101,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info('Updating Piper HTTP TTS settings: voice="en_US-lessac-medium"')
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(
                     delta=PiperHttpTTSService.Settings(voice="en_US-lessac-medium")
                 )
@@ -114,11 +114,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-piper.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -83,7 +83,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -98,25 +98,25 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         # NOTE: Local Piper loads the voice model once at init, so runtime voice
         # changes are not applied. This update will log an "unhandled settings"
         # warning. Use PiperHttpTTSService for dynamic voice switching.
         await asyncio.sleep(10)
         logger.info('Updating Piper TTS settings: voice="en_US-lessac-medium"')
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(delta=PiperTTSService.Settings(voice="en_US-lessac-medium"))
         )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-resembleai.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -97,11 +97,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating ResembleAI TTS settings: voice (changed)")
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSUpdateSettingsFrame(
                 delta=ResembleAITTSService.Settings(voice=os.environ["RESEMBLE_VOICE_UUID_ALT"])
             )
@@ -110,11 +110,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-rime-http.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -87,7 +87,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -102,22 +102,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info("Updating Rime TTS settings: voice=rex")
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(delta=RimeHttpTTSService.Settings(voice="rex"))
             )
 
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-rime.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -97,20 +97,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Rime TTS settings: voice=bond")
-        await task.queue_frame(TTSUpdateSettingsFrame(delta=RimeTTSService.Settings(voice="bond")))
+        await worker.queue_frame(
+            TTSUpdateSettingsFrame(delta=RimeTTSService.Settings(voice="bond"))
+        )
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-sarvam-http.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -83,7 +83,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -98,22 +98,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info("Updating Sarvam TTS settings: pace=1.5")
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(delta=SarvamHttpTTSService.Settings(pace=1.5))
             )
 
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-sarvam.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -94,20 +94,20 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         context.add_message(
             {"role": "developer", "content": "Please introduce yourself to the user."}
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
         await asyncio.sleep(10)
         logger.info("Updating Sarvam TTS settings: pace=1.5")
-        await task.queue_frame(TTSUpdateSettingsFrame(delta=SarvamTTSService.Settings(pace=1.5)))
+        await worker.queue_frame(TTSUpdateSettingsFrame(delta=SarvamTTSService.Settings(pace=1.5)))
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-speechmatics.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info('Updating Speechmatics TTS settings: voice="theo"')
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(delta=SpeechmaticsTTSService.Settings(voice="theo"))
             )
 
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/update-settings/tts/tts-xtts.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSUpdateSettingsFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-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.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -103,22 +103,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             context.add_message(
                 {"role": "developer", "content": "Please introduce yourself to the user."}
             )
-            await task.queue_frames([LLMRunFrame()])
+            await worker.queue_frames([LLMRunFrame()])
 
             await asyncio.sleep(10)
             logger.info('Updating XTTS TTS settings: voice="Ana Florence"')
-            await task.queue_frame(
+            await worker.queue_frame(
                 TTSUpdateSettingsFrame(delta=XTTSService.Settings(voice="Ana Florence"))
             )
 
         @transport.event_handler("on_client_disconnected")
         async def on_client_disconnected(transport, client):
             logger.info(f"Client disconnected")
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):