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.
This commit is contained in:
Aleix Conchillo Flaqué
2026-05-20 16:39:45 -07:00
parent b9aed0d673
commit b03247f360
394 changed files with 4602 additions and 4487 deletions

View File

@@ -28,7 +28,7 @@ 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,
@@ -146,7 +146,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -161,15 +161,15 @@ 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):

View File

@@ -19,7 +19,7 @@ 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 (
AssistantTurnStoppedMessage,
@@ -165,8 +165,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
# Configure the pipeline task
task = PipelineTask(
# Configure the pipeline worker
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -183,7 +183,7 @@ 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()])
# HACK: if using the older Nova Sonic (pre-2) model, you need this special way of
# triggering the first assistant response. Note that this trigger requires a special
# corresponding bit of text in the system instruction.
@@ -193,7 +193,7 @@ 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()
@user_aggregator.event_handler("on_user_turn_stopped")
async def on_user_turn_stopped(aggregator, strategy, message: UserTurnStoppedMessage):
@@ -209,7 +209,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# Run the pipeline
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
await runner.run(task)
await runner.run(worker)
async def bot(runner_args: RunnerArguments):

View File

@@ -28,7 +28,7 @@ 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,
@@ -157,7 +157,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -172,15 +172,15 @@ 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):

View File

@@ -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,
@@ -187,7 +187,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -200,16 +200,16 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
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):

View File

@@ -26,7 +26,7 @@ from pipecat.adapters.schemas.tools_schema import ToolsSchema
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
from pipecat.runner.types import RunnerArguments
@@ -137,7 +137,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -152,15 +152,15 @@ 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):

View File

@@ -13,7 +13,7 @@ from loguru import logger
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
from pipecat.runner.types import RunnerArguments
@@ -171,8 +171,8 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
# Configure the pipeline task
task = PipelineTask(
# Configure the pipeline worker
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -186,17 +186,17 @@ 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 using standard context frame
await task.queue_frames([LLMRunFrame()])
await worker.queue_frames([LLMRunFrame()])
# Handle client disconnection events
@transport.event_handler("on_client_disconnected")
async def on_client_disconnected(transport, client):
logger.info(f"Client disconnected")
await task.cancel()
await worker.cancel()
# Run the pipeline
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
await runner.run(task)
await runner.run(worker)
# Clean up: delete the uploaded file and temporary file
if file_info:

View File

@@ -13,7 +13,7 @@ from loguru import logger
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
from pipecat.runner.types import RunnerArguments
@@ -96,7 +96,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -109,16 +109,16 @@ 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):

View File

@@ -15,7 +15,7 @@ from pipecat.adapters.schemas.tools_schema import AdapterType, ToolsSchema
from pipecat.frames.frames import EndTaskFrame, 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
from pipecat.processors.frame_processor import FrameDirection
@@ -160,7 +160,7 @@ 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):
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):

View File

@@ -7,7 +7,7 @@ from pipecat.adapters.schemas.tools_schema import AdapterType, ToolsSchema
from pipecat.frames.frames import Frame, LLMRunFrame
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
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
@@ -128,7 +128,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
)
@@ -143,16 +143,16 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
"content": "Please introduce yourself and let me know that you can help with current information by searching the web. Ask me what current information I'd like to know about.",
}
)
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):

View File

@@ -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 (
AssistantTurnStoppedMessage,
@@ -87,7 +87,7 @@ 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):
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()
@user_aggregator.event_handler("on_user_turn_stopped")
async def on_user_turn_stopped(aggregator, strategy, message: UserTurnStoppedMessage):
@@ -121,7 +121,7 @@ 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):

View File

@@ -16,7 +16,7 @@ from pipecat.adapters.schemas.tools_schema import ToolsSchema
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
from pipecat.runner.types import RunnerArguments
@@ -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):

View File

@@ -14,7 +14,7 @@ from loguru import logger
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
from pipecat.runner.types import RunnerArguments
@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -92,7 +92,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
await maybe_capture_participant_camera(transport, client, framerate=1)
await maybe_capture_participant_screen(transport, client, framerate=1)
await task.queue_frames([LLMRunFrame()])
await worker.queue_frames([LLMRunFrame()])
await asyncio.sleep(3)
logger.debug("Unpausing audio and video")
llm.set_audio_input_paused(False)
@@ -101,11 +101,11 @@ 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):

View File

@@ -16,7 +16,7 @@ from pipecat.adapters.schemas.tools_schema import AdapterType, ToolsSchema
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 (
AssistantTurnStoppedMessage,
@@ -143,7 +143,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -159,12 +159,12 @@ 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()])
@transport.event_handler("on_client_disconnected")
async def on_client_disconnected(transport, client):
logger.info(f"Client disconnected")
await task.cancel()
await worker.cancel()
@user_aggregator.event_handler("on_user_turn_stopped")
async def on_user_turn_stopped(aggregator, strategy, message: UserTurnStoppedMessage):
@@ -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):

View File

@@ -27,7 +27,7 @@ from pipecat.adapters.schemas.tools_schema import ToolsSchema
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
from pipecat.runner.types import RunnerArguments
@@ -141,7 +141,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -156,15 +156,15 @@ 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):

View File

@@ -42,7 +42,7 @@ from pipecat.observers.loggers.transcription_log_observer 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 (
AssistantTurnStoppedMessage,
@@ -227,7 +227,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -241,12 +241,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
async def on_client_connected(transport, client):
logger.info("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("Client disconnected")
await task.cancel()
await worker.cancel()
# Log transcript updates
@user_aggregator.event_handler("on_user_turn_stopped")
@@ -263,7 +263,7 @@ 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):

View File

@@ -42,7 +42,7 @@ from pipecat.observers.loggers.transcription_log_observer 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 (
AssistantTurnStoppedMessage,
@@ -162,7 +162,7 @@ Always be helpful and proactive in offering assistance.""",
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -175,12 +175,12 @@ Always be helpful and proactive in offering assistance.""",
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
logger.info("Client connected")
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()
@user_aggregator.event_handler("on_user_turn_stopped")
async def on_user_turn_stopped(aggregator, strategy, message: UserTurnStoppedMessage):
@@ -194,7 +194,7 @@ Always be helpful and proactive in offering assistance.""",
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
await runner.run(task)
await runner.run(worker)
async def bot(runner_args: RunnerArguments):

View File

@@ -28,7 +28,7 @@ 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,
@@ -160,7 +160,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -175,15 +175,15 @@ 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):

View File

@@ -15,7 +15,7 @@ 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,
@@ -119,7 +119,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -136,16 +136,16 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
await maybe_capture_participant_camera(transport, client, framerate=1)
await maybe_capture_participant_screen(transport, client, framerate=1)
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):

View File

@@ -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,
@@ -191,7 +191,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -204,16 +204,16 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
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):

View File

@@ -19,7 +19,7 @@ from pipecat.frames.frames import LLMRunFrame, LLMSetToolsFrame
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 (
AssistantTurnStoppedMessage,
@@ -200,7 +200,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -214,27 +214,27 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
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()])
# Add a new tool at runtime after a delay.
await asyncio.sleep(15)
new_tools = ToolsSchema(
standard_tools=[weather_function, restaurant_function, get_news_function]
)
await task.queue_frames([LLMSetToolsFrame(tools=new_tools)])
await worker.queue_frames([LLMSetToolsFrame(tools=new_tools)])
# Alternative pattern, useful if you're changing other session properties, too.
# (Though note that tools in your LLMContext take precedence over those
# in session properties, so if you have context-provided tools, prefer
# LLMSetToolsFrame instead, as it updates your context. Ditto for
# updating system instructions: send an LLMMessagesUpdateFrame with
# context messages updated with your new desired system message.)
# await task.queue_frames(
# await worker.queue_frames(
# [LLMUpdateSettingsFrame(settings=SessionProperties(tools=new_tools).model_dump())]
# )
# Reasoning effort can be changed at runtime too. Only
# reasoning-capable Realtime models (e.g. gpt-realtime-2) support this.
# await task.queue_frames(
# await worker.queue_frames(
# [
# LLMUpdateSettingsFrame(
# delta=OpenAIRealtimeLLMService.Settings(
@@ -249,7 +249,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
@transport.event_handler("on_client_disconnected")
async def on_client_disconnected(transport, client):
logger.info(f"Client disconnected")
await task.cancel()
await worker.cancel()
# Log transcript updates
@user_aggregator.event_handler("on_user_turn_stopped")
@@ -266,7 +266,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
await runner.run(task)
await runner.run(worker)
async def bot(runner_args: RunnerArguments):

View File

@@ -29,7 +29,7 @@ from pipecat.adapters.schemas.tools_schema import ToolsSchema
from pipecat.audio.vad.silero import SileroVADAnalyzer
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,
@@ -152,7 +152,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
)
task = PipelineTask(
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -168,10 +168,10 @@ 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):

View File

@@ -16,7 +16,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.audio.vad.vad_analyzer import VADParams
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,
@@ -213,8 +213,8 @@ There is also a secret menu that changes daily. If the user asks about it, use t
]
)
# Configure the pipeline task
task = PipelineTask(
# Configure the pipeline worker
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -232,7 +232,7 @@ There is also a secret menu that changes daily. If the user asks about it, use t
@transport.event_handler("on_client_disconnected")
async def on_client_disconnected(transport, client):
logger.info(f"Client disconnected")
await task.cancel()
await worker.cancel()
@user_aggregator.event_handler("on_user_turn_stopped")
async def on_user_turn_stopped(aggregator, strategy, message: UserTurnStoppedMessage):
@@ -248,7 +248,7 @@ There is also a secret menu that changes daily. If the user asks about it, use t
# Run the pipeline
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
await runner.run(task)
await runner.run(worker)
async def bot(runner_args: RunnerArguments):

View File

@@ -15,7 +15,7 @@ from pipecat.adapters.schemas.tools_schema import ToolsSchema
from pipecat.audio.vad.silero import SileroVADAnalyzer
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,
@@ -203,8 +203,8 @@ There is also a secret menu that changes daily. If the user asks about it, use t
]
)
# Configure the pipeline task
task = PipelineTask(
# Configure the pipeline worker
worker = PipelineWorker(
pipeline,
params=PipelineParams(
enable_metrics=True,
@@ -222,7 +222,7 @@ There is also a secret menu that changes daily. If the user asks about it, use t
@transport.event_handler("on_client_disconnected")
async def on_client_disconnected(transport, client):
logger.info(f"Client disconnected")
await task.cancel()
await worker.cancel()
@user_aggregator.event_handler("on_user_turn_stopped")
async def on_user_turn_stopped(aggregator, strategy, message: UserTurnStoppedMessage):
@@ -238,7 +238,7 @@ There is also a secret menu that changes daily. If the user asks about it, use t
# Run the pipeline
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
await runner.run(task)
await runner.run(worker)
async def bot(runner_args: RunnerArguments):