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/function-calling/function-calling-anthropic-async-stream.py

@@ -38,7 +38,7 @@ from pipecat.frames.frames import (
 )
 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,
@@ -171,7 +171,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -186,16 +186,16 @@ 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()])
 
     @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/function-calling/function-calling-anthropic-async.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 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,
@@ -140,7 +140,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -156,16 +156,16 @@ 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()])
 
     @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/function-calling/function-calling-anthropic-video.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame, UserImageRequestFrame
 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,
@@ -143,7 +143,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -168,16 +168,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 "content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-anthropic.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 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,
@@ -125,7 +125,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -141,16 +141,16 @@ 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()])
 
     @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/function-calling/function-calling-aws-video.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame, UserImageRequestFrame
 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,
@@ -148,7 +148,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -173,16 +173,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 "content": f"Please introduce yourself to the user briefly; don't mention the camera. Use '{client_id}' as the user ID during function calls.",
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-aws.py

@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 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,
@@ -134,7 +134,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -150,16 +150,16 @@ 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()])
 
     @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/function-calling/function-calling-azure.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -120,7 +120,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -133,16 +133,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-cerebras.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -129,7 +129,7 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -142,16 +142,16 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-deepseek.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -130,7 +130,7 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -143,16 +143,16 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-direct.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -121,7 +121,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -134,16 +134,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-fireworks.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 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,
@@ -123,7 +123,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -139,16 +139,16 @@ 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()])
 
     @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/function-calling/function-calling-google-async-stream.py

@@ -38,7 +38,7 @@ from pipecat.frames.frames import (
 )
 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,
@@ -175,7 +175,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -190,16 +190,16 @@ 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()])
 
     @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/function-calling/function-calling-google-async.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame, UserImageRequestFrame
 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,
@@ -208,7 +208,7 @@ indicate you should use the get_image tool are:
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -232,16 +232,16 @@ indicate you should use the get_image tool are:
                 "content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-google-vertex.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -121,7 +121,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -140,16 +140,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 "content": "Please introduce yourself to the user.",
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-google-video.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame, UserImageRequestFrame
 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,
@@ -143,7 +143,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -168,16 +168,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 "content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-google.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame, UserImageRequestFrame
 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,
@@ -200,7 +200,7 @@ indicate you should use the get_image tool are:
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -224,16 +224,16 @@ indicate you should use the get_image tool are:
                 "content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-grok.py

@@ -17,7 +17,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 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,
@@ -117,7 +117,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -133,16 +133,16 @@ 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()])
 
         @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/function-calling/function-calling-groq.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -118,7 +118,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -131,16 +131,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-missing-handler.py

@@ -48,7 +48,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 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,
@@ -141,7 +141,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(enable_metrics=True, enable_usage_metrics=True),
         idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
@@ -164,15 +164,15 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 ),
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-mistral.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 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,
@@ -131,7 +131,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -144,16 +144,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-moondream-video.py

@@ -24,7 +24,7 @@ from pipecat.frames.frames import (
 from pipecat.pipeline.parallel_pipeline import ParallelPipeline
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
-from pipecat.pipeline.task import PipelineTask
+from pipecat.pipeline.worker import PipelineWorker
 from pipecat.processors.aggregators.llm_context import LLMContext
 from pipecat.processors.aggregators.llm_response_universal import (
     LLMContextAggregatorPair,
@@ -185,7 +185,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
     )
@@ -206,16 +206,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 "content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-nebius.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -135,7 +135,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -151,16 +151,16 @@ 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()])
 
     @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/function-calling/function-calling-novita.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -136,7 +136,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -149,16 +149,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-nvidia.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -122,7 +122,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -135,16 +135,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-ollama.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -136,7 +136,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -149,16 +149,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-openai-async-stream.py

@@ -38,7 +38,7 @@ from pipecat.frames.frames import (
 )
 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,
@@ -175,7 +175,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -190,16 +190,16 @@ 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()])
 
     @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/function-calling/function-calling-openai-async.py

@@ -19,7 +19,7 @@ from pipecat.frames.frames import (
 )
 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,
@@ -153,7 +153,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -168,16 +168,16 @@ 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()])
 
     @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/function-calling/function-calling-openai-responses-async-stream.py

@@ -38,7 +38,7 @@ from pipecat.frames.frames import (
 )
 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,
@@ -175,7 +175,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -187,16 +187,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-openai-responses-async.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -157,7 +157,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -173,16 +173,16 @@ 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()])
 
     @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/function-calling/function-calling-openai-responses-http.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -135,7 +135,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -151,16 +151,16 @@ 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()])
 
     @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/function-calling/function-calling-openai-responses-video-http.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame, UserImageRequestFrame
 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,
@@ -143,7 +143,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -167,12 +167,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 "content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     @tts.event_handler("on_tts_request")
     async def on_tts_request(tts, context_id: str, text: str):
@@ -180,7 +180,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/function-calling/function-calling-openai-responses-video.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame, UserImageRequestFrame
 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,
@@ -143,7 +143,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -167,12 +167,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 "content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     @tts.event_handler("on_tts_request")
     async def on_tts_request(tts, context_id: str, text: str):
@@ -180,7 +180,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/function-calling/function-calling-openai-responses.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -143,7 +143,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -159,16 +159,16 @@ 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()])
 
     @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/function-calling/function-calling-openai-video.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame, UserImageRequestFrame
 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,
@@ -143,7 +143,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -167,12 +167,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
                 "content": f"Please introduce yourself to the user. Use '{client_id}' as the user ID during function calls.",
             }
         )
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @transport.event_handler("on_client_disconnected")
     async def on_client_disconnected(transport, client):
         logger.info(f"Client disconnected")
-        await task.cancel()
+        await worker.cancel()
 
     @tts.event_handler("on_tts_request")
     async def on_tts_request(tts, context_id: str, text: str):
@@ -180,7 +180,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 async def bot(runner_args: RunnerArguments):

examples/function-calling/function-calling-openai.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -136,7 +136,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -148,16 +148,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-openrouter.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -123,7 +123,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -136,16 +136,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-perplexity.py

@@ -20,7 +20,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame
 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,
@@ -108,16 +108,16 @@ 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()])
 
     @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/function-calling/function-calling-qwen.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -121,7 +121,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -134,16 +134,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-sambanova.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -120,7 +120,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -133,16 +133,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     async def on_client_connected(transport, client):
         logger.info(f"Client connected")
         # Kick off the conversation.
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     @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/function-calling/function-calling-sarvam.py

@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -140,7 +140,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -156,16 +156,16 @@ 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()])
 
     @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/function-calling/function-calling-together.py

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 from pipecat.frames.frames import LLMRunFrame, TTSSpeakFrame
 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,
@@ -118,7 +118,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -134,16 +134,16 @@ 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()])
 
     @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):