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examples: update all examples to use the new LLMContextAggregatorPair tuple

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This commit is contained in:
Aleix Conchillo Flaqué
2026-01-13 13:40:03 -08:00
parent 1ab3bf2ef6
commit 861588e4a3
155 changed files with 450 additions and 475 deletions
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6
examples/foundational/46-video-processing.py
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@@ -116,7 +116,7 @@ async def run_bot(pipecat_transport):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -131,7 +131,7 @@ async def run_bot(pipecat_transport):
pipeline = Pipeline(
[
pipecat_transport.input(),
context_aggregator.user(),
user_aggregator,
rtvi,
llm, # LLM
EdgeDetectionProcessor(
@@ -139,7 +139,7 @@ async def run_bot(pipecat_transport):
pipecat_transport._params.video_out_height,
), # Sending the video back to the user
pipecat_transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)