diff --git a/examples/foundational/07zb-interruptible-inworld-http.py b/examples/foundational/07zb-interruptible-inworld-http.py
index b2bf05660..c67984f7c 100644
--- a/examples/foundational/07zb-interruptible-inworld-http.py
+++ b/examples/foundational/07zb-interruptible-inworld-http.py
@@ -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),
diff --git a/examples/foundational/07zb-interruptible-inworld.py b/examples/foundational/07zb-interruptible-inworld.py
index 8d3d351a5..46e07dc5f 100644
--- a/examples/foundational/07zb-interruptible-inworld.py
+++ b/examples/foundational/07zb-interruptible-inworld.py
@@ -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),
diff --git a/examples/foundational/07ze-interruptible-hume.py b/examples/foundational/07ze-interruptible-hume.py
index 33ea4d278..e9a8e355c 100644
--- a/examples/foundational/07ze-interruptible-hume.py
+++ b/examples/foundational/07ze-interruptible-hume.py
@@ -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")
diff --git a/examples/foundational/37-mem0.py b/examples/foundational/37-mem0.py
index c82d39edc..08a739c0a 100644
--- a/examples/foundational/37-mem0.py
+++ b/examples/foundational/37-mem0.py
@@ -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
diff --git a/examples/foundational/38b-smart-turn-local.py b/examples/foundational/38b-smart-turn-local.py
index 37112de4d..85a320631 100644
--- a/examples/foundational/38b-smart-turn-local.py
+++ b/examples/foundational/38b-smart-turn-local.py
@@ -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()])
diff --git a/examples/foundational/46-video-processing.py b/examples/foundational/46-video-processing.py
index c35843eab..bb3d57f04 100644
--- a/examples/foundational/46-video-processing.py
+++ b/examples/foundational/46-video-processing.py
@@ -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()])