Progress on updating foundational examples to avoid using the newly-deprecated LLMMessagesFrame.

Skipping over 07b-interruptible-langchain.py for now, as it requires deeper changes involving `LLMUserResponseAggregator` and `LLMAssistantResponseAggregator`.
This commit is contained in:
Paul Kompfner
2025-08-06 12:03:40 -04:00
parent 64e48e4660
commit f0391c3280
7 changed files with 47 additions and 60 deletions

View File

@@ -9,10 +9,14 @@ import os
from dotenv import load_dotenv
from loguru import logger
from pipecat.frames.frames import EndFrame, LLMMessagesFrame
from pipecat.frames.frames import EndFrame
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineTask
from pipecat.processors.aggregators.openai_llm_context import (
OpenAILLMContext,
OpenAILLMContextFrame,
)
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService
@@ -59,7 +63,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# Register an event handler so we can play the audio when the client joins
@transport.event_handler("on_client_connected")
async def on_client_connected(transport, client):
await task.queue_frames([LLMMessagesFrame(messages), EndFrame()])
await task.queue_frames([OpenAILLMContextFrame(OpenAILLMContext(messages)), EndFrame()])
runner = PipelineRunner(handle_sigint=runner_args.handle_sigint)