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Update 12d example to use LLMContext, now that AWS Bedrock supports it

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This commit is contained in:
Paul Kompfner
2025-09-09 16:24:13 -04:00
parent 8ccd220a60
commit fedb8a201f
1 changed files with 4 additions and 6 deletions
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10
examples/foundational/12d-describe-video-aws.py
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@@ -13,6 +13,7 @@ from loguru import logger
from pipecat.audio.vad.silero import SileroVADAnalyzer from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import ( from pipecat.frames.frames import (
Frame, Frame,
LLMContextFrame,
TextFrame, TextFrame,
TTSSpeakFrame, TTSSpeakFrame,
UserImageRawFrame, UserImageRawFrame,
@@ -21,10 +22,7 @@ from pipecat.frames.frames import (
from pipecat.pipeline.pipeline import Pipeline from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.openai_llm_context import ( from pipecat.processors.aggregators.llm_context import LLMContext
OpenAILLMContext,
OpenAILLMContextFrame,
)
from pipecat.processors.aggregators.user_response import UserResponseAggregator from pipecat.processors.aggregators.user_response import UserResponseAggregator
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
from pipecat.runner.types import RunnerArguments from pipecat.runner.types import RunnerArguments
@@ -73,14 +71,14 @@ class UserImageProcessor(FrameProcessor):
if isinstance(frame, UserImageRawFrame): if isinstance(frame, UserImageRawFrame):
if frame.request and frame.request.context: if frame.request and frame.request.context:
# Note: AWS Bedrock does not yet support the universal LLMContext # Note: AWS Bedrock does not yet support the universal LLMContext
context = OpenAILLMContext() context = LLMContext()
context.add_image_frame_message( context.add_image_frame_message(
image=frame.image, image=frame.image,
text=frame.request.context, text=frame.request.context,
size=frame.size, size=frame.size,
format=frame.format, format=frame.format,
) )
frame = OpenAILLMContextFrame(context) frame = LLMContextFrame(context)
await self.push_frame(frame) await self.push_frame(frame)
else: else:
await self.push_frame(frame, direction) await self.push_frame(frame, direction)