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examples(foundational): remove RTVI (automatically added by PipelineTask)

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This commit is contained in:
Aleix Conchillo Flaqué
2026-01-21 14:16:51 -08:00
parent e85a00cc0e
commit 054e504868
6 changed files with 4 additions and 40 deletions
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5
examples/foundational/07zb-interruptible-inworld-http.py
View File

@@ -23,7 +23,6 @@ from pipecat.processors.aggregators.llm_response_universal import (
LLMContextAggregatorPair,
LLMUserAggregatorParams,
)
from pipecat.processors.frameworks.rtvi import RTVIObserver, RTVIProcessor
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.deepgram.stt import DeepgramSTTService
@@ -93,12 +92,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
),
)
rtvi = RTVIProcessor()
pipeline = Pipeline(
[
transport.input(),
rtvi,
stt,
user_aggregator,
llm,
@@ -115,7 +111,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
enable_usage_metrics=True,
),
observers=[
RTVIObserver(rtvi),
DebugLogObserver(
frame_types={
TTSTextFrame: (BaseOutputTransport, FrameEndpoint.SOURCE),

5
examples/foundational/07zb-interruptible-inworld.py
View File

@@ -22,7 +22,6 @@ from pipecat.processors.aggregators.llm_response_universal import (
LLMContextAggregatorPair,
LLMUserAggregatorParams,
)
from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.deepgram.stt import DeepgramSTTService
@@ -88,12 +87,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
),
)
rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
pipeline = Pipeline(
[
transport.input(),
rtvi,
stt,
user_aggregator,
llm,
@@ -110,7 +106,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
enable_usage_metrics=True,
),
observers=[
RTVIObserver(rtvi),
DebugLogObserver(
frame_types={
TTSTextFrame: (BaseOutputTransport, FrameEndpoint.SOURCE),

9
examples/foundational/07ze-interruptible-hume.py
View File

@@ -22,7 +22,6 @@ from pipecat.processors.aggregators.llm_response_universal import (
LLMContextAggregatorPair,
LLMUserAggregatorParams,
)
from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.deepgram.stt import DeepgramSTTService
@@ -90,12 +89,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
),
)
rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
pipeline = Pipeline(
[
transport.input(), # Transport user input
rtvi,
stt,
user_aggregator, # User responses
llm, # LLM
@@ -114,7 +110,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
),
idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
observers=[
RTVIObserver(rtvi),
DebugLogObserver(
frame_types={
TTSTextFrame: (BaseOutputTransport, FrameEndpoint.SOURCE),
@@ -123,10 +118,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
],
)
@rtvi.event_handler("on_client_ready")
async def on_client_ready(rtvi):
await rtvi.set_bot_ready()
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
logger.info(f"Client connected")

7
examples/foundational/37-mem0.py
View File

@@ -59,7 +59,6 @@ from pipecat.processors.aggregators.llm_response_universal import (
LLMContextAggregatorPair,
LLMUserAggregatorParams,
)
from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.deepgram.stt import DeepgramSTTService
@@ -255,12 +254,10 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
),
),
)
rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
pipeline = Pipeline(
[
transport.input(),
rtvi,
stt,
user_aggregator,
memory,
@@ -278,12 +275,10 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
enable_usage_metrics=True,
),
idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
observers=[RTVIObserver(rtvi)],
)
@rtvi.event_handler("on_client_ready")
@task.rtvi.event_handler("on_client_ready")
async def on_client_ready(rtvi):
await rtvi.set_bot_ready()
# Get personalized greeting based on user memories. Can pass agent_id and run_id as per requirement of the application to manage short term memory or agent specific memory.
greeting = await get_initial_greeting(
memory_client=memory.memory_client, user_id=USER_ID, agent_id=None, run_id=None

7
examples/foundational/38b-smart-turn-local.py
View File

@@ -22,7 +22,6 @@ from pipecat.processors.aggregators.llm_response_universal import (
LLMContextAggregatorPair,
LLMUserAggregatorParams,
)
from pipecat.processors.frameworks.rtvi import RTVIObserver, RTVIProcessor
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService
@@ -87,8 +86,6 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
),
)
rtvi = RTVIProcessor()
pipeline = Pipeline(
[
transport.input(), # Transport user input
@@ -108,13 +105,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
enable_metrics=True,
enable_usage_metrics=True,
),
observers=[RTVIObserver(rtvi)],
idle_timeout_secs=runner_args.pipeline_idle_timeout_secs,
)
@rtvi.event_handler("on_client_ready")
@task.rtvi.event_handler("on_client_ready")
async def on_client_ready(rtvi):
await rtvi.set_bot_ready()
# Kick off the conversation
messages.append({"role": "system", "content": "Please introduce yourself to the user."})
await task.queue_frames([LLMRunFrame()])

11
examples/foundational/46-video-processing.py
View File

@@ -1,5 +1,5 @@
#
# Copyright (c) 2025, Daily
# Copyright (c) 2024-2026, Daily
#
# SPDX-License-Identifier: BSD 2-Clause License
#
@@ -22,7 +22,6 @@ from pipecat.processors.aggregators.llm_response_universal import (
LLMUserAggregatorParams,
)
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
from pipecat.processors.frameworks.rtvi import RTVIObserver, RTVIProcessor
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.google.gemini_live.llm import GeminiLiveLLMService
@@ -125,14 +124,10 @@ async def run_bot(pipecat_transport):
),
)
# RTVI events for Pipecat client UI
rtvi = RTVIProcessor()
pipeline = Pipeline(
[
pipecat_transport.input(),
user_aggregator,
rtvi,
llm, # LLM
EdgeDetectionProcessor(
pipecat_transport._params.video_out_width,
@@ -149,13 +144,11 @@ async def run_bot(pipecat_transport):
enable_metrics=True,
enable_usage_metrics=True,
),
observers=[RTVIObserver(rtvi)],
)
@rtvi.event_handler("on_client_ready")
@task.rtvi.event_handler("on_client_ready")
async def on_client_ready(rtvi):
logger.info("Pipecat client ready.")
await rtvi.set_bot_ready()
# Kick off the conversation.
await task.queue_frames([LLMRunFrame()])