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:
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.pipeline.worker import PipelineParams, PipelineWorker
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from pipecat.processors.aggregators.llm_context import LLMContext
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from pipecat.processors.aggregators.llm_response_universal import (
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LLMContextAggregatorPair,
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@@ -89,7 +89,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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]
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)
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task = PipelineTask(
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worker = PipelineWorker(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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@@ -107,11 +107,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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await worker.queue_frames([LLMRunFrame()])
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await asyncio.sleep(15)
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logger.info("🔄 Updating keyterms: Adding difficult names for boosting")
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await task.queue_frame(
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await worker.queue_frame(
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STTUpdateSettingsFrame(
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delta=AssemblyAISTTService.Settings(
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keyterms_prompt=["Xiomara", "Saoirse", "Krzystof", "Nguyen", "Pipecat"]
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@@ -123,11 +123,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await task.cancel()
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await worker.cancel()
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.run(task)
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await runner.run(worker)
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async def bot(runner_args: RunnerArguments):
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@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.pipeline.worker import PipelineParams, PipelineWorker
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from pipecat.processors.aggregators.llm_context import LLMContext
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from pipecat.processors.aggregators.llm_response_universal import (
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LLMContextAggregatorPair,
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@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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]
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)
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task = PipelineTask(
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worker = PipelineWorker(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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await worker.queue_frames([LLMRunFrame()])
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await asyncio.sleep(10)
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logger.info("Updating AWS Transcribe STT settings: language=es")
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await task.queue_frame(
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await worker.queue_frame(
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STTUpdateSettingsFrame(delta=AWSTranscribeSTTService.Settings(language=Language.ES))
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)
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await task.cancel()
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await worker.cancel()
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.run(task)
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await runner.run(worker)
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async def bot(runner_args: RunnerArguments):
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@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.pipeline.worker import PipelineParams, PipelineWorker
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from pipecat.processors.aggregators.llm_context import LLMContext
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from pipecat.processors.aggregators.llm_response_universal import (
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LLMContextAggregatorPair,
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@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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]
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)
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task = PipelineTask(
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worker = PipelineWorker(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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@@ -103,22 +103,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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await worker.queue_frames([LLMRunFrame()])
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await asyncio.sleep(10)
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logger.info("Updating Azure STT settings: language=es")
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await task.queue_frame(
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await worker.queue_frame(
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STTUpdateSettingsFrame(delta=AzureSTTService.Settings(language=Language.ES))
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)
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await task.cancel()
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await worker.cancel()
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.run(task)
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await runner.run(worker)
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async def bot(runner_args: RunnerArguments):
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@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.pipeline.worker import PipelineParams, PipelineWorker
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from pipecat.processors.aggregators.llm_context import LLMContext
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from pipecat.processors.aggregators.llm_response_universal import (
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LLMContextAggregatorPair,
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@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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]
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)
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task = PipelineTask(
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worker = PipelineWorker(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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await worker.queue_frames([LLMRunFrame()])
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await asyncio.sleep(10)
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logger.info("Updating Cartesia STT settings: language=es")
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await task.queue_frame(
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await worker.queue_frame(
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STTUpdateSettingsFrame(delta=CartesiaSTTService.Settings(language=Language.ES))
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)
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await task.cancel()
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await worker.cancel()
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.run(task)
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await runner.run(worker)
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async def bot(runner_args: RunnerArguments):
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@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.pipeline.worker import PipelineParams, PipelineWorker
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from pipecat.processors.aggregators.llm_context import LLMContext
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from pipecat.processors.aggregators.llm_response_universal import (
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LLMContextAggregatorPair,
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@@ -98,7 +98,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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]
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)
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task = PipelineTask(
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worker = PipelineWorker(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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@@ -113,13 +113,13 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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await worker.queue_frames([LLMRunFrame()])
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# Update configure-able fields mid-stream (sent via Configure message,
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# no reconnect needed).
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await asyncio.sleep(10)
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logger.info("Updating Deepgram Flux STT settings: eot_threshold, keyterm")
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await task.queue_frame(
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await worker.queue_frame(
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STTUpdateSettingsFrame(
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delta=DeepgramFluxSTTService.Settings(
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eot_threshold=0.8,
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@@ -132,7 +132,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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# Sent as a Configure message — no reconnect needed.
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await asyncio.sleep(10)
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logger.info("Updating Deepgram Flux STT settings: language_hints=[es]")
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await task.queue_frame(
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await worker.queue_frame(
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STTUpdateSettingsFrame(
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delta=DeepgramFluxSTTService.Settings(language_hints=[Language.ES])
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)
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@@ -141,11 +141,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await task.cancel()
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await worker.cancel()
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.run(task)
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await runner.run(worker)
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async def bot(runner_args: RunnerArguments):
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@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.pipeline.worker import PipelineParams, PipelineWorker
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from pipecat.processors.aggregators.llm_context import LLMContext
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from pipecat.processors.aggregators.llm_response_universal import (
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LLMContextAggregatorPair,
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@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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]
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)
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task = PipelineTask(
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worker = PipelineWorker(
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pipeline,
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params=PipelineParams(
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enable_metrics=True,
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@@ -103,12 +103,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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context.add_message(
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{"role": "developer", "content": "Please introduce yourself to the user."}
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)
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await task.queue_frames([LLMRunFrame()])
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await worker.queue_frames([LLMRunFrame()])
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# NOTE: after this change, the bot will only respond if you speak Spanish
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await asyncio.sleep(10)
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logger.info("Updating Deepgram SageMaker STT settings: language=es, punctuate=False")
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await task.queue_frame(
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await worker.queue_frame(
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STTUpdateSettingsFrame(
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delta=DeepgramSageMakerSTTService.Settings(
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language=Language.ES,
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@@ -120,18 +120,18 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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# Old-style dict update (for backward-compat testing):
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# await asyncio.sleep(10)
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# logger.info("Updating Deepgram SageMaker STT settings via dict: punctuate=False, filler_words=True")
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# await task.queue_frame(
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# await worker.queue_frame(
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# STTUpdateSettingsFrame(settings={"punctuate": False, "filler_words": True})
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# )
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@transport.event_handler("on_client_disconnected")
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async def on_client_disconnected(transport, client):
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logger.info(f"Client disconnected")
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await task.cancel()
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await worker.cancel()
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
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await runner.run(task)
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await runner.run(worker)
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async def bot(runner_args: RunnerArguments):
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@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.pipeline.worker import PipelineParams, PipelineWorker
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from pipecat.processors.aggregators.llm_context import LLMContext
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from pipecat.processors.aggregators.llm_response_universal import (
|
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LLMContextAggregatorPair,
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@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
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]
|
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)
|
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|
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task = PipelineTask(
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worker = PipelineWorker(
|
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pipeline,
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params=PipelineParams(
|
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enable_metrics=True,
|
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@@ -100,12 +100,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
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context.add_message(
|
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{"role": "developer", "content": "Please introduce yourself to the user."}
|
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)
|
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await task.queue_frames([LLMRunFrame()])
|
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await worker.queue_frames([LLMRunFrame()])
|
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|
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# NOTE: after this change, the bot will only respond if you speak Spanish
|
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await asyncio.sleep(10)
|
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logger.info("Updating Deepgram STT settings: language=es, punctuate=False")
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await task.queue_frame(
|
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await worker.queue_frame(
|
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STTUpdateSettingsFrame(
|
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delta=DeepgramSTTService.Settings(
|
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language=Language.ES,
|
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@@ -117,18 +117,18 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
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# Old-style dict update (for backward-compat testing):
|
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# await asyncio.sleep(10)
|
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# logger.info("Updating Deepgram STT settings via dict: punctuate=False, filler_words=True")
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# await task.queue_frame(
|
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# await worker.queue_frame(
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# STTUpdateSettingsFrame(settings={"punctuate": False, "filler_words": True})
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# )
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|
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@transport.event_handler("on_client_disconnected")
|
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async def on_client_disconnected(transport, client):
|
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logger.info(f"Client disconnected")
|
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await task.cancel()
|
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await worker.cancel()
|
||||
|
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runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
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|
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await runner.run(task)
|
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await runner.run(worker)
|
||||
|
||||
|
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async def bot(runner_args: RunnerArguments):
|
||||
|
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@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -100,11 +100,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating ElevenLabs Realtime STT settings: language=es")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(
|
||||
delta=ElevenLabsRealtimeSTTService.Settings(language=Language.ES)
|
||||
)
|
||||
@@ -113,11 +113,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -15,7 +15,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -90,7 +90,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -105,22 +105,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating ElevenLabs STT settings: language=es")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=ElevenLabsSTTService.Settings(language=Language.ES))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info('Updating Fal STT settings: task="translate"')
|
||||
await task.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=FalSTTService.Settings(task="translate"))
|
||||
logger.info('Updating Fal STT settings: worker="translate"')
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=FalSTTService.Settings(worker="translate"))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating Gladia STT settings: language=es")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=GladiaSTTService.Settings(language=Language.ES))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating Google STT settings: language=es")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=GoogleSTTService.Settings(language=Language.ES))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating Gradium STT settings: delay_in_frames=5")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=GradiumSTTService.Settings(delay_in_frames=16))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -101,20 +101,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info('Updating Groq STT settings: language="es"')
|
||||
await task.queue_frame(STTUpdateSettingsFrame(delta=GroqSTTService.Settings(language="es")))
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=GroqSTTService.Settings(language="es"))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -99,22 +99,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating NVIDIA Segmented STT settings: profanity_filter=True")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=NvidiaSegmentedSTTService.Settings(profanity_filter=True))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating NVIDIA STT settings: language=es")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=NvidiaSTTService.Settings(language=Language.ES))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating OpenAI Realtime STT settings: language=es")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=OpenAIRealtimeSTTService.Settings(language=Language.ES))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -100,22 +100,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating Sarvam STT settings: language=en-IN")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=SarvamSTTService.Settings(language=Language.EN_IN))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -80,7 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -95,22 +95,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating Soniox STT settings: language_hints=[es]")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=SonioxSTTService.Settings(language_hints=[Language.ES]))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -92,7 +92,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -107,17 +107,17 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating Speechmatics STT settings: language=es")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=SpeechmaticsSTTService.Settings(language=Language.ES))
|
||||
)
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating Speechmatics STT settings: focus_speakers=['S1']")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=SpeechmaticsSTTService.Settings(focus_speakers=["S1"]))
|
||||
)
|
||||
|
||||
@@ -125,7 +125,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
logger.info(
|
||||
"Updating Speechmatics STT settings: speaker_active_format=<SPEAKER_{speaker_id}>{text}</SPEAKER_{speaker_id}>"
|
||||
)
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(
|
||||
delta=SpeechmaticsSTTService.Settings(
|
||||
speaker_active_format="<SPEAKER_{speaker_id}>{text}</SPEAKER_{speaker_id}>"
|
||||
@@ -136,11 +136,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -91,7 +91,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -106,20 +106,22 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info('Updating OpenAI STT settings: language="es"')
|
||||
await task.queue_frame(STTUpdateSettingsFrame(delta=BaseWhisperSTTSettings(language="es")))
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(delta=BaseWhisperSTTSettings(language="es"))
|
||||
)
|
||||
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -103,12 +103,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
# NOTE: after this change, the bot will only respond if you speak Spanish
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating Whisper MLX STT settings: model=TINY")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(
|
||||
delta=WhisperSTTServiceMLX.Settings(
|
||||
model=MLXModel.TINY.value,
|
||||
@@ -119,11 +119,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
@@ -14,7 +14,7 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
|
||||
from pipecat.frames.frames import LLMRunFrame, STTUpdateSettingsFrame
|
||||
from pipecat.pipeline.pipeline import Pipeline
|
||||
from pipecat.pipeline.runner import PipelineRunner
|
||||
from pipecat.pipeline.task import PipelineParams, PipelineTask
|
||||
from pipecat.pipeline.worker import PipelineParams, PipelineWorker
|
||||
from pipecat.processors.aggregators.llm_context import LLMContext
|
||||
from pipecat.processors.aggregators.llm_response_universal import (
|
||||
LLMContextAggregatorPair,
|
||||
@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
]
|
||||
)
|
||||
|
||||
task = PipelineTask(
|
||||
worker = PipelineWorker(
|
||||
pipeline,
|
||||
params=PipelineParams(
|
||||
enable_metrics=True,
|
||||
@@ -103,11 +103,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
context.add_message(
|
||||
{"role": "developer", "content": "Please introduce yourself to the user."}
|
||||
)
|
||||
await task.queue_frames([LLMRunFrame()])
|
||||
await worker.queue_frames([LLMRunFrame()])
|
||||
|
||||
await asyncio.sleep(10)
|
||||
logger.info("Updating Whisper STT settings: model=LARGE")
|
||||
await task.queue_frame(
|
||||
await worker.queue_frame(
|
||||
STTUpdateSettingsFrame(
|
||||
delta=WhisperSTTService.Settings(
|
||||
model=Model.LARGE.value,
|
||||
@@ -118,11 +118,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
|
||||
@transport.event_handler("on_client_disconnected")
|
||||
async def on_client_disconnected(transport, client):
|
||||
logger.info(f"Client disconnected")
|
||||
await task.cancel()
|
||||
await worker.cancel()
|
||||
|
||||
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)
|
||||
|
||||
await runner.run(task)
|
||||
await runner.run(worker)
|
||||
|
||||
|
||||
async def bot(runner_args: RunnerArguments):
|
||||
|
||||
Reference in New Issue
Block a user