updated CHANGELOG with AICFilter and fix deprecations
This commit is contained in:
Aleix Conchillo Flaqué
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CHANGELOG.md
10
CHANGELOG.md
@@ -9,8 +9,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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### Added
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- Added a timeout around cancel input tasks to prevent indefinite
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hangs when cancellation is swallowed by third-party code.
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- Added new audio filter `AICFilter`, speech enhancement for improving VAD/STT
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performance, no ONNX dependency.
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See https://ai-coustics.com/sdk/
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- Added a timeout around cancel input tasks to prevent indefinite hangs when
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cancellation is swallowed by third-party code.
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- Added `pipecat.extensions.ivr` for automated IVR system navigation with
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configurable goals and conversation handling. Supports DTMF input, verbal
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@@ -75,7 +79,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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### Fixed
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- Fixed an issue where Deepgram swallowed `asyncio.CancelledError` during
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- Fixed an issue where Deepgram swallowed `asyncio.CancelledError` during
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disconnect, preventing tasks from being cancelled.
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- Fixed an issue where `PipelineTask` was not cleaning up the observers.
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@@ -62,7 +62,7 @@ You can connect to Pipecat from any platform using our official SDKs:
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| Video | [HeyGen](https://docs.pipecat.ai/server/services/video/heygen), [Tavus](https://docs.pipecat.ai/server/services/video/tavus), [Simli](https://docs.pipecat.ai/server/services/video/simli) |
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| Memory | [mem0](https://docs.pipecat.ai/server/services/memory/mem0) |
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| Vision & Image | [fal](https://docs.pipecat.ai/server/services/image-generation/fal), [Google Imagen](https://docs.pipecat.ai/server/services/image-generation/fal), [Moondream](https://docs.pipecat.ai/server/services/vision/moondream) |
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| Audio Processing | [Silero VAD](https://docs.pipecat.ai/server/utilities/audio/silero-vad-analyzer), [Krisp](https://docs.pipecat.ai/server/utilities/audio/krisp-filter), [Koala](https://docs.pipecat.ai/server/utilities/audio/koala-filter), [Noisereduce](https://docs.pipecat.ai/server/utilities/audio/noisereduce-filter) |
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| Audio Processing | [Silero VAD](https://docs.pipecat.ai/server/utilities/audio/silero-vad-analyzer), [Krisp](https://docs.pipecat.ai/server/utilities/audio/krisp-filter), [Koala](https://docs.pipecat.ai/server/utilities/audio/koala-filter), [ai-coustics](https://docs.pipecat.ai/server/utilities/audio/aic-filter), [Noisereduce](https://docs.pipecat.ai/server/utilities/audio/noisereduce-filter) |
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| Analytics & Metrics | [OpenTelemetry](https://docs.pipecat.ai/server/utilities/opentelemetry), [Sentry](https://docs.pipecat.ai/server/services/analytics/sentry) |
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📚 [View full services documentation →](https://docs.pipecat.ai/server/services/supported-services)
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@@ -14,6 +14,7 @@ from loguru import logger
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from pipecat.audio.filters.aic_filter import AICFilter
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from pipecat.audio.vad.silero import SileroVADAnalyzer
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from pipecat.frames.frames import LLMRunFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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@@ -21,8 +22,8 @@ from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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from pipecat.processors.audio.audio_buffer_processor import AudioBufferProcessor
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from pipecat.runner.types import RunnerArguments
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from pipecat.runner.utils import create_transport
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from pipecat.services.cartesia.tts import CartesiaTTSService
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from pipecat.services.deepgram.stt import DeepgramSTTService
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from pipecat.services.deepgram.tts import DeepgramTTSService
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from pipecat.services.openai.llm import OpenAILLMService
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from pipecat.transports.base_transport import BaseTransport, TransportParams
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from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
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@@ -31,7 +32,7 @@ from pipecat.transports.services.daily import DailyParams
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load_dotenv(override=True)
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# Create audio buffer processor with default settings
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# Create audio buffer processor so we can hear the audio fitler results.
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audiobuffer = AudioBufferProcessor(
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num_channels=2, # 1 for mono, 2 for stereo (user left, bot right)
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enable_turn_audio=False, # Enable per-turn audio recording
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@@ -78,7 +79,10 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
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tts = DeepgramTTSService(api_key=os.getenv("DEEPGRAM_API_KEY"), voice="aura-helios-en")
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tts = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="71a7ad14-091c-4e8e-a314-022ece01c121", # British Reading Lady
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)
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llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
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@@ -120,7 +124,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
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await audiobuffer.start_recording()
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# Kick off the conversation.
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messages.append({"role": "system", "content": "Please introduce yourself to the user."})
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await task.queue_frames([context_aggregator.user().get_context_frame()])
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await task.queue_frames([LLMRunFrame()])
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@audiobuffer.event_handler("on_audio_data")
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async def on_audio_data(buffer, audio, sample_rate, num_channels):
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