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/transports/transports-daily.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,
@@ -79,7 +79,7 @@ async def main():
             ]
         )
 
-        task = PipelineTask(
+        worker = PipelineWorker(
             pipeline,
             params=PipelineParams(
                 enable_metrics=True,
@@ -94,15 +94,15 @@ async def main():
             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_participant_left")
         async def on_participant_left(transport, participant, reason):
-            await task.cancel()
+            await worker.cancel()
 
         runner = PipelineRunner()
 
-        await runner.run(task)
+        await runner.run(worker)
 
 
 if __name__ == "__main__":

examples/transports/transports-livekit.py

@@ -22,7 +22,7 @@ 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,
@@ -87,7 +87,7 @@ async def main():
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -100,7 +100,7 @@ async def main():
     @transport.event_handler("on_first_participant_joined")
     async def on_first_participant_joined(transport, participant_id):
         await asyncio.sleep(1)
-        await task.queue_frame(
+        await worker.queue_frame(
             TTSSpeakFrame(
                 "Hello there! How are you doing today? Would you like to talk about the weather?"
             )
@@ -116,7 +116,7 @@ async def main():
         # convert data from bytes to string
         json_data = json.loads(data)
 
-        await task.queue_frames(
+        await worker.queue_frames(
             [
                 InterruptionFrame(),
                 UserStartedSpeakingFrame(),
@@ -131,7 +131,7 @@ async def main():
 
     runner = PipelineRunner()
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 if __name__ == "__main__":

examples/transports/transports-small-webrtc.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,
@@ -96,7 +96,7 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -111,16 +111,16 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):
         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=False)
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 @app.get("/", include_in_schema=False)
@@ -150,7 +150,7 @@ async def offer(request: dict, background_tasks: BackgroundTasks):
             pcs_map.pop(webrtc_connection.pc_id, None)
 
         # Run example function with SmallWebRTC transport arguments.
-        background_tasks.add_task(run_example, pipecat_connection)
+        background_tasks.add_worker(run_example, pipecat_connection)
 
     answer = pipecat_connection.get_answer()
     # Updating the peer connection inside the map

examples/transports/transports-vonage.py

@@ -20,7 +20,7 @@ from pipecat.frames.frames import LLMRunFrame
 from pipecat.observers.loggers.transcription_log_observer import TranscriptionLogObserver
 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,
@@ -109,7 +109,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
         ]
     )
 
-    task = PipelineTask(
+    worker = PipelineWorker(
         pipeline,
         params=PipelineParams(
             enable_metrics=True,
@@ -123,11 +123,11 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
     @event_handler("on_client_connected")
     async def on_client_connected(transport: VonageVideoConnectorTransport, client: object) -> None:
         logger.info("Client connected")
-        await task.queue_frames([LLMRunFrame()])
+        await worker.queue_frames([LLMRunFrame()])
 
     runner = PipelineRunner()
 
-    await runner.run(task)
+    await runner.run(worker)
 
 
 if __name__ == "__main__":