Merge pull request #3082 from pipecat-ai/aleix/pipecat-0.0.95

update CHANGELOG for 0.0.95
This commit is contained in:
Aleix Conchillo Flaqué
2025-11-18 21:17:07 -08:00
committed by GitHub
8 changed files with 39 additions and 23 deletions

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@@ -5,7 +5,7 @@ All notable changes to **Pipecat** will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
## [0.0.95] - 2025-11-18
### Added
@@ -26,9 +26,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Changed
- ⚠️ Breaking change: `LLMContext.create_image_message()` and
`LLMContext.create_audio_message()` are now async methods. This fixes and
issue where the asyncio event loop would be blocked while encoding audio or
- ⚠️ Breaking change: `LLMContext.create_image_message()`,
`LLMContext.create_audio_message()`, `LLMContext.add_image_frame_message()`
and `LLMContext.add_audio_frames_message()` are now async methods. This fixes
an issue where the asyncio event loop would be blocked while encoding audio or
images.
- `ConsumerProcessor` now queues frames from the producer internally instead of
@@ -69,6 +70,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
### Fixed
- Fixed a `SimliVideoService` connection issue.
- Fixed an issue in the `Runner` where, when using `SmallWebRTCTransport`, the
`request_data` was not being passed to the `SmallWebRTCRunnerArguments` body.

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@@ -391,7 +391,7 @@ class AudioAccumulator(FrameProcessor):
)
self._user_speaking = False
context = LLMContext()
context.add_audio_frames_message(audio_frames=self._audio_frames)
await context.add_audio_frames_message(audio_frames=self._audio_frames)
await self.push_frame(LLMContextFrame(context=context))
elif isinstance(frame, InputAudioRawFrame):
# Append the audio frame to our buffer. Treat the buffer as a ring buffer, dropping the oldest

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@@ -99,7 +99,7 @@ local-smart-turn = [ "coremltools>=8.0", "transformers", "torch>=2.5.0,<3", "tor
local-smart-turn-v3 = [ "transformers", "onnxruntime>=1.20.1,<2" ]
remote-smart-turn = []
silero = [ "onnxruntime>=1.20.1,<2" ]
simli = [ "simli-ai~=0.1.25"]
simli = [ "simli-ai~=1.0.3"]
soniox = [ "pipecat-ai[websockets-base]" ]
soundfile = [ "soundfile~=0.13.1" ]
speechmatics = [ "speechmatics-rt>=0.5.0" ]

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@@ -30,8 +30,8 @@ EVAL_SIMPLE_MATH = EvalConfig(
)
EVAL_WEATHER = EvalConfig(
prompt="What's the weather in San Francisco?",
eval="The user says something specific about the current weather in San Francisco, including the degrees.",
prompt="What's the weather in San Francisco (in farhenheit or celsius)?",
eval="The user says something specific about the current weather in San Francisco, including the degrees (in farhenheit or celsius).",
)
EVAL_ONLINE_SEARCH = EvalConfig(
@@ -70,7 +70,7 @@ EVAL_VOICEMAIL = EvalConfig(
EVAL_CONVERSATION = EvalConfig(
prompt="Hello, this is Mark.",
eval="The user replies with a greeting.",
eval="The user acknowledges the greeting.",
eval_speaks_first=True,
)

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@@ -180,7 +180,7 @@ class LLMContext:
text: Optional text to include with the audio.
"""
def encode_audio():
async def encode_audio():
sample_rate = audio_frames[0].sample_rate
num_channels = audio_frames[0].num_channels
@@ -198,7 +198,7 @@ class LLMContext:
encoded_audio = base64.b64encode(buffer.getvalue()).decode("utf-8")
return encoded_audio
encoded_audio = asyncio.to_thread(encode_audio)
encoded_audio = await asyncio.to_thread(encode_audio)
content.append(
{
@@ -333,7 +333,7 @@ class LLMContext:
"""
self._tool_choice = tool_choice
def add_image_frame_message(
async def add_image_frame_message(
self, *, format: str, size: tuple[int, int], image: bytes, text: Optional[str] = None
):
"""Add a message containing an image frame.
@@ -344,10 +344,12 @@ class LLMContext:
image: Raw image bytes.
text: Optional text to include with the image.
"""
message = LLMContext.create_image_message(format=format, size=size, image=image, text=text)
message = await LLMContext.create_image_message(
format=format, size=size, image=image, text=text
)
self.add_message(message)
def add_audio_frames_message(
async def add_audio_frames_message(
self, *, audio_frames: list[AudioRawFrame], text: str = "Audio follows"
):
"""Add a message containing audio frames.
@@ -356,7 +358,7 @@ class LLMContext:
audio_frames: List of audio frame objects to include.
text: Optional text to include with the audio.
"""
message = LLMContext.create_audio_message(audio_frames=audio_frames, text=text)
message = await LLMContext.create_audio_message(audio_frames=audio_frames, text=text)
self.add_message(message)
@staticmethod

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@@ -793,7 +793,7 @@ class LLMAssistantAggregator(LLMContextAggregator):
logger.debug(f"{self} Appending UserImageRawFrame to LLM context (size: {frame.size})")
self._context.add_image_frame_message(
await self._context.add_image_frame_message(
format=frame.format,
size=frame.size,
image=frame.image,

View File

@@ -84,6 +84,10 @@ class SimliVideoService(FrameProcessor):
Please use 'api_key' and 'face_id' parameters instead.
use_turn_server: Whether to use TURN server for connection. Defaults to False.
.. deprecated:: 0.0.95
The 'use_turn_server' parameter is deprecated and will be removed in a future version.
latency_interval: Latency interval setting for sending health checks to check
the latency to Simli Servers. Defaults to 0.
simli_url: URL of the simli servers. Can be changed for custom deployments
@@ -135,14 +139,20 @@ class SimliVideoService(FrameProcessor):
config = SimliConfig(**config_kwargs)
if use_turn_server:
warnings.warn(
"The 'use_turn_server' parameter is deprecated and will be removed in a future version.",
DeprecationWarning,
stacklevel=2,
)
self._initialized = False
# Add buffer time to session limits
config.maxIdleTime += 5
config.maxSessionLength += 5
self._simli_client = SimliClient(
config,
use_turn_server,
latency_interval,
config=config,
latencyInterval=latency_interval,
simliURL=simli_url,
)

9
uv.lock generated
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@@ -4727,7 +4727,7 @@ requires-dist = [
{ name = "resampy", specifier = "~=0.4.3" },
{ name = "sarvamai", marker = "extra == 'sarvam'", specifier = "==0.1.21" },
{ name = "sentry-sdk", marker = "extra == 'sentry'", specifier = ">=2.28.0,<3" },
{ name = "simli-ai", marker = "extra == 'simli'", specifier = "~=0.1.25" },
{ name = "simli-ai", marker = "extra == 'simli'", specifier = "~=1.0.3" },
{ name = "soundfile", marker = "extra == 'soundfile'", specifier = "~=0.13.1" },
{ name = "soxr", specifier = "~=0.5.0" },
{ name = "speechmatics-rt", marker = "extra == 'speechmatics'", specifier = ">=0.5.0" },
@@ -6496,18 +6496,19 @@ wheels = [
[[package]]
name = "simli-ai"
version = "0.1.25"
version = "1.0.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiortc" },
{ name = "av" },
{ name = "httpx" },
{ name = "livekit" },
{ name = "numpy" },
{ name = "websockets" },
]
sdist = { url = "https://files.pythonhosted.org/packages/64/6a/b28f90baf76f6a60865985f6233ff44abc72d45b66b76658bff3961e20a7/simli_ai-0.1.25.tar.gz", hash = "sha256:7a00b3426dc26a6a421641072c3e49014b7950c621cf4544152f35c58d13fcff", size = 13182, upload-time = "2025-11-06T16:27:08.862Z" }
sdist = { url = "https://files.pythonhosted.org/packages/81/03/b0b3e12c68fd3f9c57f6afeee67841349e4866b88760f413357af3043ae4/simli_ai-1.0.3.tar.gz", hash = "sha256:e96b0621a1dbd9582b2ae3d51eefd4995983b49c1f1061eb9239707b15a1ee27", size = 13350, upload-time = "2025-11-13T12:22:32.514Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/ac/57/ae1032fd88214ea4ee6d3028c817c12a999eb90a67766bbab31e9819385a/simli_ai-0.1.25-py3-none-any.whl", hash = "sha256:7d01f65321dc9052f25e15d0463af6a20a86c6d37d9a7b3a2c4b01cbec0a54ed", size = 13651, upload-time = "2025-11-06T16:27:07.765Z" },
{ url = "https://files.pythonhosted.org/packages/5e/d1/dc382ba529de0d2d51f35e9bfd20b41d8f5c96404a3aa24bae97a5a5e51f/simli_ai-1.0.3-py3-none-any.whl", hash = "sha256:ffafa7540aa28833e207be8f3b199367c7f500dac1a8ba0108395bfb7d8362bc", size = 13863, upload-time = "2025-11-13T12:22:31.218Z" },
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[[package]]