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Merge pull request #3434 from pipecat-ai/aleix/context-appregator-pair-tuple

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context aggregator pair tuple
This commit is contained in:
Aleix Conchillo Flaqué
2026-01-13 14:12:51 -08:00
committed by GitHub
parent 442e0e582d ee82377d68
commit bd9ee0d646
156 changed files with 461 additions and 471 deletions
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6
examples/foundational/04-transports-small-webrtc.py
View File

@@ -85,7 +85,7 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -98,11 +98,11 @@ async def run_example(webrtc_connection: SmallWebRTCConnection):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/04a-transports-daily.py
View File

@@ -68,7 +68,7 @@ async def main():
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -82,11 +82,11 @@ async def main():
pipeline = Pipeline(
[
transport.input(), # Transport user input
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/04b-transports-livekit.py
View File

@@ -78,7 +78,7 @@ async def main():
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -91,11 +91,11 @@ async def main():
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/06-listen-and-respond.py
View File

@@ -106,7 +106,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -119,12 +119,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
ml,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/06a-image-sync.py
View File

@@ -120,7 +120,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -138,12 +138,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
image_sync_aggregator,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/07-interruptible-cartesia-http.py
View File

@@ -77,7 +77,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -90,11 +90,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07-interruptible.py
View File

@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -89,11 +89,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07a-interruptible-speechmatics-vad.py
View File

@@ -131,7 +131,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(user_turn_strategies=ExternalUserTurnStrategies()),
)
@@ -140,11 +140,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07a-interruptible-speechmatics.py
View File

@@ -117,7 +117,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -132,11 +132,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07aa-interruptible-soniox.py
View File

@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -89,11 +89,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)
task = PipelineTask(

6
examples/foundational/07ab-interruptible-inworld-http.py
View File

@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -100,11 +100,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
transport.input(),
rtvi,
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/07ab-interruptible-inworld.py
View File

@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -95,11 +95,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
transport.input(),
rtvi,
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/07ac-interruptible-asyncai-http.py
View File

@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -97,11 +97,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07ac-interruptible-asyncai.py
View File

@@ -78,7 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -91,11 +91,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07ad-interruptible-aicoustics.py
View File

@@ -105,7 +105,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -118,12 +118,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
audiobuffer, # write audio data to a file
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07ae-interruptible-hume.py
View File

@@ -81,7 +81,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -97,11 +97,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
transport.input(), # Transport user input
rtvi,
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS (HumeTTSService with word timestamps)
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07af-interruptible-gradium.py
View File

@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -89,11 +89,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07b-interruptible-langchain.py
View File

@@ -103,7 +103,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
lc = LangchainProcessor(history_chain)
context = LLMContext()
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -116,11 +116,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
lc, # Langchain
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07c-interruptible-deepgram-flux.py
View File

@@ -71,7 +71,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(user_turn_strategies=ExternalUserTurnStrategies()),
)
@@ -80,11 +80,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07c-interruptible-deepgram-http.py
View File

@@ -81,7 +81,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -96,11 +96,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07c-interruptible-deepgram-sagemaker.py
View File

@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -99,11 +99,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07c-interruptible-deepgram-vad.py
View File

@@ -72,7 +72,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(user_turn_strategies=ExternalUserTurnStrategies()),
)
@@ -81,11 +81,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07c-interruptible-deepgram.py
View File

@@ -75,7 +75,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -88,11 +88,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07d-interruptible-elevenlabs-http.py
View File

@@ -85,7 +85,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -100,11 +100,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07d-interruptible-elevenlabs.py
View File

@@ -78,7 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -91,11 +91,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07e-interruptible-playht-http.py
View File

@@ -78,7 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -91,11 +91,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07e-interruptible-playht.py
View File

@@ -80,7 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -93,11 +93,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07f-interruptible-azure-http.py
View File

@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -97,11 +97,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07f-interruptible-azure.py
View File

@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -97,11 +97,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07g-interruptible-openai.py
View File

@@ -78,7 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -91,11 +91,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07h-interruptible-openpipe.py
View File

@@ -83,7 +83,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -96,11 +96,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07i-interruptible-xtts.py
View File

@@ -81,7 +81,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -96,11 +96,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07j-interruptible-gladia-vad.py
View File

@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(user_turn_strategies=ExternalUserTurnStrategies()),
)
@@ -95,11 +95,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07j-interruptible-gladia.py
View File

@@ -87,7 +87,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -100,11 +100,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07k-interruptible-lmnt.py
View File

@@ -75,7 +75,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -88,11 +88,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User respones
user_aggregator, # User respones
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07l-interruptible-groq.py
View File

@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -89,11 +89,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07m-interruptible-aws-strands.py
View File

@@ -120,7 +120,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# Setup context aggregators for message handling
context = LLMContext()
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -133,11 +133,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # Speech-to-text
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # Strands Agents processor
tts, # Text-to-speech
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07m-interruptible-aws.py
View File

@@ -80,7 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -93,11 +93,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07n-interruptible-gemini-image.py
View File

@@ -102,7 +102,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -115,11 +115,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # Gemini TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07n-interruptible-gemini.py
View File

@@ -107,7 +107,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -120,11 +120,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # Gemini TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07n-interruptible-google-http.py
View File

@@ -90,7 +90,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -103,11 +103,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User respones
user_aggregator, # User respones
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07n-interruptible-google.py
View File

@@ -90,7 +90,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -103,11 +103,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User respones
user_aggregator, # User respones
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07o-interruptible-assemblyai.py
View File

@@ -80,7 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -93,11 +93,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07p-interruptible-krisp-viva.py
View File

@@ -95,7 +95,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -108,11 +108,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07p-interruptible-krisp.py
View File

@@ -78,7 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -91,11 +91,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07q-interruptible-rime-http.py
View File

@@ -83,7 +83,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -98,11 +98,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07q-interruptible-rime.py
View File

@@ -77,7 +77,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -90,11 +90,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07r-interruptible-nvidia.py
View File

@@ -76,7 +76,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -89,11 +89,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

8
examples/foundational/07s-interruptible-google-audio-in.py
View File

@@ -249,7 +249,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -257,7 +257,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
),
),
)
audio_collector = UserAudioCollector(context, context_aggregator.user())
audio_collector = UserAudioCollector(context, user_aggregator)
pull_transcript_out_of_llm_output = TranscriptExtractor(context)
fixup_context_messages = TranscriptionContextFixup(context)
@@ -265,12 +265,12 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
audio_collector,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
pull_transcript_out_of_llm_output,
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
fixup_context_messages,
]
)

6
examples/foundational/07t-interruptible-fish.py
View File

@@ -78,7 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -91,11 +91,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07v-interruptible-neuphonic-http.py
View File

@@ -82,7 +82,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -97,11 +97,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07v-interruptible-neuphonic.py
View File

@@ -77,7 +77,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -90,11 +90,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07w-interruptible-fal.py
View File

@@ -80,7 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -93,11 +93,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07x-interruptible-local.py
View File

@@ -62,7 +62,7 @@ async def main():
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -75,11 +75,11 @@ async def main():
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07y-interruptible-minimax.py
View File

@@ -84,7 +84,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -99,11 +99,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07z-interruptible-sarvam-http.py
View File

@@ -86,7 +86,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -101,11 +101,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/07z-interruptible-sarvam.py
View File

@@ -80,7 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -93,11 +93,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/08-custom-frame-processor.py
View File

@@ -115,7 +115,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -130,11 +130,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
metrics_frame_processor, # pretty print metrics frames
]
)

6
examples/foundational/10-wake-phrase.py
View File

@@ -79,7 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
hey_robot_filter = WakeCheckFilter(["hey robot", "hey, robot"])
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -93,11 +93,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
transport.input(), # Transport user input
stt, # STT
hey_robot_filter, # Filter out speech not directed at the robot
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/11-sound-effects.py
View File

@@ -127,7 +127,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -144,7 +144,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
in_sound,
fl2,
llm,
@@ -152,7 +152,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
tts,
out_sound,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/12-describe-image-openai.py
View File

@@ -73,7 +73,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -86,11 +86,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/12a-describe-image-anthropic.py
View File

@@ -73,7 +73,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -86,11 +86,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/12b-describe-image-aws.py
View File

@@ -80,7 +80,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -93,11 +93,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/12c-describe-image-gemini-flash.py
View File

@@ -73,7 +73,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -86,11 +86,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/14-function-calling.py
View File

@@ -126,7 +126,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -139,11 +139,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14a-function-calling-anthropic.py
View File

@@ -121,7 +121,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
messages = [{"role": "user", "content": "Say 'hello' to start the conversation."}]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -134,11 +134,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User spoken responses
user_aggregator, # User spoken responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses and tool context
assistant_aggregator, # Assistant spoken responses and tool context
]
)

6
examples/foundational/14c-function-calling-together.py
View File

@@ -112,7 +112,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -125,11 +125,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14d-function-calling-anthropic-video.py
View File

@@ -136,7 +136,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -149,11 +149,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/14d-function-calling-aws-video.py
View File

@@ -143,7 +143,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -156,11 +156,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/14d-function-calling-gemini-flash-video.py
View File

@@ -136,7 +136,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -149,11 +149,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/14d-function-calling-moondream-video.py
View File

@@ -166,7 +166,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -188,14 +188,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
ParallelPipeline(
[llm], # LLM
[moondream, moondream_text_wrapper],
),
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/14d-function-calling-openai-video.py
View File

@@ -136,7 +136,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -149,11 +149,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/14e-function-calling-google.py
View File

@@ -189,7 +189,7 @@ indicate you should use the get_image tool are:
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -202,11 +202,11 @@ indicate you should use the get_image tool are:
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14f-function-calling-groq.py
View File

@@ -109,7 +109,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -122,11 +122,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14g-function-calling-grok.py
View File

@@ -105,7 +105,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -118,11 +118,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14h-function-calling-azure.py
View File

@@ -113,7 +113,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -126,11 +126,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14i-function-calling-fireworks.py
View File

@@ -116,7 +116,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -129,11 +129,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14j-function-calling-nvidia.py
View File

@@ -118,7 +118,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -131,11 +131,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14k-function-calling-cerebras.py
View File

@@ -119,7 +119,7 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -132,11 +132,11 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14l-function-calling-deepseek.py
View File

@@ -119,7 +119,7 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -132,11 +132,11 @@ Start by asking me for my location. Then, use 'get_weather_current' to give me a
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14m-function-calling-openrouter.py
View File

@@ -113,7 +113,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -126,11 +126,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14n-function-calling-perplexity.py
View File

@@ -83,7 +83,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -96,11 +96,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14p-function-calling-gemini-vertex-ai.py
View File

@@ -114,7 +114,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -127,11 +127,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14q-function-calling-qwen.py
View File

@@ -111,7 +111,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -124,11 +124,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14r-function-calling-aws.py
View File

@@ -126,7 +126,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -139,11 +139,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14s-function-calling-sambanova.py
View File

@@ -115,7 +115,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -128,11 +128,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14t-function-calling-direct.py
View File

@@ -112,7 +112,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -125,11 +125,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14u-function-calling-ollama.py
View File

@@ -127,7 +127,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -140,11 +140,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14v-function-calling-openai.py
View File

@@ -134,7 +134,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -147,11 +147,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14w-function-calling-mistral.py
View File

@@ -122,7 +122,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -135,11 +135,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/14x-function-calling-openpipe.py
View File

@@ -132,7 +132,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -145,11 +145,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(),
stt,
context_aggregator.user(),
user_aggregator,
llm,
tts,
transport.output(),
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/15-switch-voices.py
View File

@@ -144,7 +144,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -157,11 +157,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt,
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS with switch voice functionality
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/15a-switch-languages.py
View File

@@ -134,7 +134,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -147,11 +147,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(), # User responses
user_aggregator, # User responses
llm, # LLM
tts, # TTS (bot will speak the chosen language)
transport.output(), # Transport bot output
context_aggregator.assistant(), # Assistant spoken responses
assistant_aggregator, # Assistant spoken responses
]
)

6
examples/foundational/16-gpu-container-local-bot.py
View File

@@ -88,7 +88,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -101,11 +101,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(),
user_aggregator,
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/17-detect-user-idle.py
View File

@@ -78,7 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -119,11 +119,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
transport.input(), # Transport user input
stt,
user_idle, # Idle user check-in
context_aggregator.user(),
user_aggregator,
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(),
assistant_aggregator,
]
)

5
examples/foundational/19-openai-realtime.py
View File

@@ -188,10 +188,7 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
tools,
)
context_aggregator = LLMContextAggregatorPair(context)
user_aggregator = context_aggregator.user()
assistant_aggregator = context_aggregator.assistant()
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline(
[

6
examples/foundational/19a-azure-realtime.py
View File

@@ -173,15 +173,15 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
tools,
)
context_aggregator = LLMContextAggregatorPair(context)
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline(
[
transport.input(), # Transport user input
context_aggregator.user(),
user_aggregator,
llm, # LLM
transport.output(), # Transport bot output
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/19b-openai-realtime-text.py
View File

@@ -171,16 +171,16 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
tools,
)
context_aggregator = LLMContextAggregatorPair(context)
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline(
[
transport.input(), # Transport user input
context_aggregator.user(),
user_aggregator,
llm, # LLM
tts, # TTS
transport.output(), # Transport bot output
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/19c-openai-realtime-live-video.py
View File

@@ -104,15 +104,15 @@ Remember, your responses should be short. Just one or two sentences, usually. Re
[{"role": "user", "content": "Say hello!"}],
)
context_aggregator = LLMContextAggregatorPair(context)
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline(
[
transport.input(), # Transport user input
context_aggregator.user(),
user_aggregator,
llm, # LLM
transport.output(), # Transport bot output
context_aggregator.assistant(),
assistant_aggregator,
]
)

6
examples/foundational/20a-persistent-context-openai.py
View File

@@ -201,7 +201,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
llm.register_function("load_conversation", load_conversation)
context = LLMContext(messages, tools)
context_aggregator = LLMContextAggregatorPair(
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
user_turn_strategies=UserTurnStrategies(
@@ -214,11 +214,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
[
transport.input(), # Transport user input
stt, # STT
context_aggregator.user(),
user_aggregator,
llm, # LLM
tts,
transport.output(), # Transport bot output
context_aggregator.assistant(),
assistant_aggregator,
]
)

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