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Update foundational examples to use "user" role

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Use system_instruction on LLM service constructors instead of adding
system messages to LLMContext. Messages added to context now use
"user" role.
This commit is contained in:
Aleix Conchillo Flaqué
2026-03-05 16:17:32 -08:00
parent 18494658c3
commit 593b75bc8b
179 changed files with 271 additions and 335 deletions
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17
examples/foundational/20b-persistent-context-openai-realtime-beta.py
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@@ -31,7 +31,6 @@ from pipecat.services.openai_realtime_beta import (
SessionProperties,
TurnDetection,
)
from pipecat.services.openai_realtime_beta.events import AudioConfiguration, AudioInput
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -182,16 +181,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
session_properties = SessionProperties(
audio=AudioConfiguration(
input=AudioInput(
transcription=InputAudioTranscription(),
# Set openai TurnDetection parameters. Not setting this at all will turn it
# on by default
turn_detection=TurnDetection(silence_duration_ms=1000),
# Or set to False to disable openai turn detection and use transport VAD
# turn_detection=False,
)
),
input_audio_transcription=InputAudioTranscription(),
# Set openai TurnDetection parameters. Not setting this at all will turn
# it on by default
turn_detection=TurnDetection(silence_duration_ms=1000),
# Or set to False to disable openai turn detection and use transport VAD
# turn_detection=False,
# tools=tools,
instructions="""Your knowledge cutoff is 2023-10. You are a helpful and friendly AI.