Skip to content

Add RTVIProcessor to foundational example 38b #2927

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Nov 6, 2025
Merged

Add RTVIProcessor to foundational example 38b #2927

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
06e86cc
Add RTVIProcessor to foundational example 38b
marcus-daily Oct 28, 2025
961e285
Remove arg from RTVIProcessor
markbackman Nov 6, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 12 additions & 3 deletions examples/foundational/38b-smart-turn-local.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,7 @@
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.llm_context import LLMContext
from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
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.cartesia.tts import CartesiaTTSService
Expand Down Expand Up @@ -78,9 +79,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(context)

rtvi = RTVIProcessor()

pipeline = Pipeline(
[
transport.input(), # Transport user input
rtvi,
stt,
context_aggregator.user(), # User responses
llm, # LLM
Expand All @@ -96,15 +100,20 @@ 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")
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()])

@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
logger.info(f"Client connected")
# Kick off the conversation.
messages.append({"role": "system", "content": "Please introduce yourself to the user."})
await task.queue_frames([LLMRunFrame()])

@transport.event_handler("on_client_disconnected")
async def on_client_disconnected(transport, client):
Expand Down