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pipecat/CHANGELOG.md
Aleix Conchillo Flaqué d402d91c2f update CHANGELOG for 0.0.43
2024-10-10 14:06:18 -07:00

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# Changelog
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).
## [0.0.43] - 2024-10-10
### Added
- Added a new util called `MarkdownTextFilter` which is a subclass of a new
base class called `BaseTextFilter`. This is a configurable utility which
is intended to filter text received by TTS services.
- Added new `RTVIUserLLMTextProcessor`. This processor will send an RTVI
`user-llm-text` message with the user content's that was sent to the LLM.
### Changed
- `TransportMessageFrame` doesn't have an `urgent` field anymore, instead
there's now a `TransportMessageUrgentFrame` which is a `SystemFrame` and
therefore skip all internal queuing.
- For TTS services, convert inputted languages to match each service's language
format
### Fixed
- Fixed an issue where changing a language with the Deepgram STT service
wouldn't apply the change. This was fixed by disconnecting and reconnecting
when the language changes.
## [0.0.42] - 2024-10-02
### Added
- `SentryMetrics` has been added to report frame processor metrics to
Sentry. This is now possible because `FrameProcessorMetrics` can now be passed
to `FrameProcessor`.
- Added Google TTS service and corresponding foundational example
`07n-interruptible-google.py`
- Added AWS Polly TTS support and `07m-interruptible-aws.py` as an example.
- Added InputParams to Azure TTS service.
- Added `LivekitTransport` (audio-only for now).
- RTVI 0.2.0 is now supported.
- All `FrameProcessors` can now register event handlers.
```
tts = SomeTTSService(...)
@tts.event_handler("on_connected"):
async def on_connected(processor):
...
```
- Added `AsyncGeneratorProcessor`. This processor can be used together with a
`FrameSerializer` as an async generator. It provides a `generator()` function
that returns an `AsyncGenerator` and that yields serialized frames.
- Added `EndTaskFrame` and `CancelTaskFrame`. These are new frames that are
meant to be pushed upstream to tell the pipeline task to stop nicely or
immediately respectively.
- Added configurable LLM parameters (e.g., temperature, top_p, max_tokens, seed)
for OpenAI, Anthropic, and Together AI services along with corresponding
setter functions.
- Added `sample_rate` as a constructor parameter for TTS services.
- Pipecat has a pipeline-based architecture. The pipeline consists of frame
processors linked to each other. The elements traveling across the pipeline
are called frames.
To have a deterministic behavior the frames traveling through the pipeline
should always be ordered, except system frames which are out-of-band
frames. To achieve that, each frame processor should only output frames from a
single task.
In this version all the frame processors have their own task to push
frames. That is, when `push_frame()` is called the given frame will be put
into an internal queue (with the exception of system frames) and a frame
processor task will push it out.
- Added pipeline clocks. A pipeline clock is used by the output transport to
know when a frame needs to be presented. For that, all frames now have an
optional `pts` field (prensentation timestamp). There's currently just one
clock implementation `SystemClock` and the `pts` field is currently only used
for `TextFrame`s (audio and image frames will be next).
- A clock can now be specified to `PipelineTask` (defaults to
`SystemClock`). This clock will be passed to each frame processor via the
`StartFrame`.
- Added `CartesiaHttpTTSService`.
- `DailyTransport` now supports setting the audio bitrate to improve audio
quality through the `DailyParams.audio_out_bitrate` parameter. The new
default is 96kbps.
- `DailyTransport` now uses the number of audio output channels (1 or 2) to set
mono or stereo audio when needed.
- Interruptions support has been added to `TwilioFrameSerializer` when using
`FastAPIWebsocketTransport`.
- Added new `LmntTTSService` text-to-speech service.
(see https://www.lmnt.com/)
- Added `TTSModelUpdateFrame`, `TTSLanguageUpdateFrame`, `STTModelUpdateFrame`,
and `STTLanguageUpdateFrame` frames to allow you to switch models, language
and voices in TTS and STT services.
- Added new `transcriptions.Language` enum.
### Changed
- Context frames are now pushed downstream from assistant context aggregators.
- Removed Silero VAD torch dependency.
- Updated individual update settings frame classes into a single
`ServiceUpdateSettingsFrame` class.
- We now distinguish between input and output audio and image frames. We
introduce `InputAudioRawFrame`, `OutputAudioRawFrame`, `InputImageRawFrame`
and `OutputImageRawFrame` (and other subclasses of those). The input frames
usually come from an input transport and are meant to be processed inside the
pipeline to generate new frames. However, the input frames will not be sent
through an output transport. The output frames can also be processed by any
frame processor in the pipeline and they are allowed to be sent by the output
transport.
- `ParallelTask` has been renamed to `SyncParallelPipeline`. A
`SyncParallelPipeline` is a frame processor that contains a list of different
pipelines to be executed concurrently. The difference between a
`SyncParallelPipeline` and a `ParallelPipeline` is that, given an input frame,
the `SyncParallelPipeline` will wait for all the internal pipelines to
complete. This is achieved by making sure the last processor in each of the
pipelines is synchronous (e.g. an HTTP-based service that waits for the
response).
- `StartFrame` is back a system frame to make sure it's processed immediately by
all processors. `EndFrame` stays a control frame since it needs to be ordered
allowing the frames in the pipeline to be processed.
- Updated `MoondreamService` revision to `2024-08-26`.
- `CartesiaTTSService` and `ElevenLabsTTSService` now add presentation
timestamps to their text output. This allows the output transport to push the
text frames downstream at almost the same time the words are spoken. We say
"almost" because currently the audio frames don't have presentation timestamp
but they should be played at roughly the same time.
- `DailyTransport.on_joined` event now returns the full session data instead of
just the participant.
- `CartesiaTTSService` is now a subclass of `TTSService`.
- `DeepgramSTTService` is now a subclass of `STTService`.
- `WhisperSTTService` is now a subclass of `SegmentedSTTService`. A
`SegmentedSTTService` is a `STTService` where the provided audio is given in a
big chunk (i.e. from when the user starts speaking until the user stops
speaking) instead of a continous stream.
### Fixed
- Fixed OpenAI multiple function calls.
- Fixed a Cartesia TTS issue that would cause audio to be truncated in some
cases.
- Fixed a `BaseOutputTransport` issue that would stop audio and video rendering
tasks (after receiving and `EndFrame`) before the internal queue was emptied,
causing the pipeline to finish prematurely.
- `StartFrame` should be the first frame every processor receives to avoid
situations where things are not initialized (because initialization happens on
`StartFrame`) and other frames come in resulting in undesired behavior.
### Performance
- `obj_id()` and `obj_count()` now use `itertools.count` avoiding the need of
`threading.Lock`.
### Other
- Pipecat now uses Ruff as its formatter (https://github.com/astral-sh/ruff).
## [0.0.41] - 2024-08-22
### Added
- Added `LivekitFrameSerializer` audio frame serializer.
### Fixed
- Fix `FastAPIWebsocketOutputTransport` variable name clash with subclass.
- Fix an `AnthropicLLMService` issue with empty arguments in function calling.
### Other
- Fixed `studypal` example errors.
## [0.0.40] - 2024-08-20
### Added
- VAD parameters can now be dynamicallt updated using the
`VADParamsUpdateFrame`.
- `ErrorFrame` has now a `fatal` field to indicate the bot should exit if a
fatal error is pushed upstream (false by default). A new `FatalErrorFrame`
that sets this flag to true has been added.
- `AnthropicLLMService` now supports function calling and initial support for
prompt caching.
(see https://www.anthropic.com/news/prompt-caching)
- `ElevenLabsTTSService` can now specify ElevenLabs input parameters such as
`output_format`.
- `TwilioFrameSerializer` can now specify Twilio's and Pipecat's desired sample
rates to use.
- Added new `on_participant_updated` event to `DailyTransport`.
- Added `DailyRESTHelper.delete_room_by_name()` and
`DailyRESTHelper.delete_room_by_url()`.
- Added LLM and TTS usage metrics. Those are enabled when
`PipelineParams.enable_usage_metrics` is True.
- `AudioRawFrame`s are now pushed downstream from the base output
transport. This allows capturing the exact words the bot says by adding an STT
service at the end of the pipeline.
- Added new `GStreamerPipelineSource`. This processor can generate image or
audio frames from a GStreamer pipeline (e.g. reading an MP4 file, and RTP
stream or anything supported by GStreamer).
- Added `TransportParams.audio_out_is_live`. This flag is False by default and
it is useful to indicate we should not synchronize audio with sporadic images.
- Added new `BotStartedSpeakingFrame` and `BotStoppedSpeakingFrame` control
frames. These frames are pushed upstream and they should wrap
`BotSpeakingFrame`.
- Transports now allow you to register event handlers without decorators.
### Changed
- Support RTVI message protocol 0.1. This includes new messages, support for
messages responses, support for actions, configuration, webhooks and a bunch
of new cool stuff.
(see https://docs.rtvi.ai/)
- `SileroVAD` dependency is now imported via pip's `silero-vad` package.
- `ElevenLabsTTSService` now uses `eleven_turbo_v2_5` model by default.
- `BotSpeakingFrame` is now a control frame.
- `StartFrame` is now a control frame similar to `EndFrame`.
- `DeepgramTTSService` now is more customizable. You can adjust the encoding and
sample rate.
### Fixed
- `TTSStartFrame` and `TTSStopFrame` are now sent when TTS really starts and
stops. This allows for knowing when the bot starts and stops speaking even
with asynchronous services (like Cartesia).
- Fixed `AzureSTTService` transcription frame timestamps.
- Fixed an issue with `DailyRESTHelper.create_room()` expirations which would
cause this function to stop working after the initial expiration elapsed.
- Improved `EndFrame` and `CancelFrame` handling. `EndFrame` should end things
gracefully while a `CancelFrame` should cancel all running tasks as soon as
possible.
- Fixed an issue in `AIService` that would cause a yielded `None` value to be
processed.
- RTVI's `bot-ready` message is now sent when the RTVI pipeline is ready and
a first participant joins.
- Fixed a `BaseInputTransport` issue that was causing incoming system frames to
be queued instead of being pushed immediately.
- Fixed a `BaseInputTransport` issue that was causing start/stop interruptions
incoming frames to not cancel tasks and be processed properly.
### Other
- Added `studypal` example (from to the Cartesia folks!).
- Most examples now use Cartesia.
- Added examples `foundational/19a-tools-anthropic.py`,
`foundational/19b-tools-video-anthropic.py` and
`foundational/19a-tools-togetherai.py`.
- Added examples `foundational/18-gstreamer-filesrc.py` and
`foundational/18a-gstreamer-videotestsrc.py` that show how to use
`GStreamerPipelineSource`
- Remove `requests` library usage.
- Cleanup examples and use `DailyRESTHelper`.
## [0.0.39] - 2024-07-23
### Fixed
- Fixed a regression introduced in 0.0.38 that would cause Daily transcription
to stop the Pipeline.
## [0.0.38] - 2024-07-23
### Added
- Added `force_reload`, `skip_validation` and `trust_repo` to `SileroVAD` and
`SileroVADAnalyzer`. This allows caching and various GitHub repo validations.
- Added `send_initial_empty_metrics` flag to `PipelineParams` to request for
initial empty metrics (zero values). True by default.
### Fixed
- Fixed initial metrics format. It was using the wrong keys name/time instead of
processor/value.
- STT services should be using ISO 8601 time format for transcription frames.
- Fixed an issue that would cause Daily transport to show a stop transcription
error when actually none occurred.
## [0.0.37] - 2024-07-22
### Added
- Added `RTVIProcessor` which implements the RTVI-AI standard.
See https://github.com/rtvi-ai
- Added `BotInterruptionFrame` which allows interrupting the bot while talking.
- Added `LLMMessagesAppendFrame` which allows appending messages to the current
LLM context.
- Added `LLMMessagesUpdateFrame` which allows changing the LLM context for the
one provided in this new frame.
- Added `LLMModelUpdateFrame` which allows updating the LLM model.
- Added `TTSSpeakFrame` which causes the bot say some text. This text will not
be part of the LLM context.
- Added `TTSVoiceUpdateFrame` which allows updating the TTS voice.
### Removed
- We remove the `LLMResponseStartFrame` and `LLMResponseEndFrame` frames. These
were added in the past to properly handle interruptions for the
`LLMAssistantContextAggregator`. But the `LLMContextAggregator` is now based
on `LLMResponseAggregator` which handles interruptions properly by just
processing the `StartInterruptionFrame`, so there's no need for these extra
frames any more.
### Fixed
- Fixed an issue with `StatelessTextTransformer` where it was pushing a string
instead of a `TextFrame`.
- `TTSService` end of sentence detection has been improved. It now works with
acronyms, numbers, hours and others.
- Fixed an issue in `TTSService` that would not properly flush the current
aggregated sentence if an `LLMFullResponseEndFrame` was found.
### Performance
- `CartesiaTTSService` now uses websockets which improves speed. It also
leverages the new Cartesia contexts which maintains generated audio prosody
when multiple inputs are sent, therefore improving audio quality a lot.
## [0.0.36] - 2024-07-02
### Added
- Added `GladiaSTTService`.
See https://docs.gladia.io/chapters/speech-to-text-api/pages/live-speech-recognition
- Added `XTTSService`. This is a local Text-To-Speech service.
See https://github.com/coqui-ai/TTS
- Added `UserIdleProcessor`. This processor can be used to wait for any
interaction with the user. If the user doesn't say anything within a given
timeout a provided callback is called.
- Added `IdleFrameProcessor`. This processor can be used to wait for frames
within a given timeout. If no frame is received within the timeout a provided
callback is called.
- Added new frame `BotSpeakingFrame`. This frame will be continuously pushed
upstream while the bot is talking.
- It is now possible to specify a Silero VAD version when using `SileroVADAnalyzer`
or `SileroVAD`.
- Added `AysncFrameProcessor` and `AsyncAIService`. Some services like
`DeepgramSTTService` need to process things asynchronously. For example, audio
is sent to Deepgram but transcriptions are not returned immediately. In these
cases we still require all frames (except system frames) to be pushed
downstream from a single task. That's what `AsyncFrameProcessor` is for. It
creates a task and all frames should be pushed from that task. So, whenever a
new Deepgram transcription is ready that transcription will also be pushed
from this internal task.
- The `MetricsFrame` now includes processing metrics if metrics are enabled. The
processing metrics indicate the time a processor needs to generate all its
output. Note that not all processors generate these kind of metrics.
### Changed
- `WhisperSTTService` model can now also be a string.
- Added missing \* keyword separators in services.
### Fixed
- `WebsocketServerTransport` doesn't try to send frames anymore if serializers
returns `None`.
- Fixed an issue where exceptions that occurred inside frame processors were
being swallowed and not displayed.
- Fixed an issue in `FastAPIWebsocketTransport` where it would still try to send
data to the websocket after being closed.
### Other
- Added Fly.io deployment example in `examples/deployment/flyio-example`.
- Added new `17-detect-user-idle.py` example that shows how to use the new
`UserIdleProcessor`.
## [0.0.35] - 2024-06-28
### Changed
- `FastAPIWebsocketParams` now require a serializer.
- `TwilioFrameSerializer` now requires a `streamSid`.
### Fixed
- Silero VAD number of frames needs to be 512 for 16000 sample rate or 256 for
8000 sample rate.
## [0.0.34] - 2024-06-25
### Fixed
- Fixed an issue with asynchronous STT services (Deepgram and Azure) that could
interruptions to ignore transcriptions.
- Fixed an issue introduced in 0.0.33 that would cause the LLM to generate
shorter output.
## [0.0.33] - 2024-06-25
### Changed
- Upgraded to Cartesia's new Python library 1.0.0. `CartesiaTTSService` now
expects a voice ID instead of a voice name (you can get the voice ID from
Cartesia's playground). You can also specify the audio `sample_rate` and
`encoding` instead of the previous `output_format`.
### Fixed
- Fixed an issue with asynchronous STT services (Deepgram and Azure) that could
cause static audio issues and interruptions to not work properly when dealing
with multiple LLMs sentences.
- Fixed an issue that could mix new LLM responses with previous ones when
handling interruptions.
- Fixed a Daily transport blocking situation that occurred while reading audio
frames after a participant left the room. Needs daily-python >= 0.10.1.
## [0.0.32] - 2024-06-22
### Added
- Allow specifying a `DeepgramSTTService` url which allows using on-prem
Deepgram.
- Added new `FastAPIWebsocketTransport`. This is a new websocket transport that
can be integrated with FastAPI websockets.
- Added new `TwilioFrameSerializer`. This is a new serializer that knows how to
serialize and deserialize audio frames from Twilio.
- Added Daily transport event: `on_dialout_answered`. See
https://reference-python.daily.co/api_reference.html#daily.EventHandler
- Added new `AzureSTTService`. This allows you to use Azure Speech-To-Text.
### Performance
- Convert `BaseOutputTransport` and `BaseOutputTransport` to fully use asyncio
and remove the use of threads.
### Other
- Added `twilio-chatbot`. This is an example that shows how to integrate Twilio
phone numbers with a Pipecat bot.
- Updated `07f-interruptible-azure.py` to use `AzureLLMService`,
`AzureSTTService` and `AzureTTSService`.
## [0.0.31] - 2024-06-13
### Performance
- Break long audio frames into 20ms chunks instead of 10ms.
## [0.0.30] - 2024-06-13
### Added
- Added `report_only_initial_ttfb` to `PipelineParams`. This will make it so
only the initial TTFB metrics after the user stops talking are reported.
- Added `OpenPipeLLMService`. This service will let you run OpenAI through
OpenPipe's SDK.
- Allow specifying frame processors' name through a new `name` constructor
argument.
- Added `DeepgramSTTService`. This service has an ongoing websocket
connection. To handle this, it subclasses `AIService` instead of
`STTService`. The output of this service will be pushed from the same task,
except system frames like `StartFrame`, `CancelFrame` or
`StartInterruptionFrame`.
### Changed
- `FrameSerializer.deserialize()` can now return `None` in case it is not
possible to desearialize the given data.
- `daily_rest.DailyRoomProperties` now allows extra unknown parameters.
### Fixed
- Fixed an issue where `DailyRoomProperties.exp` always had the same old
timestamp unless set by the user.
- Fixed a couple of issues with `WebsocketServerTransport`. It needed to use
`push_audio_frame()` and also VAD was not working properly.
- Fixed an issue that would cause LLM aggregator to fail with small
`VADParams.stop_secs` values.
- Fixed an issue where `BaseOutputTransport` would send longer audio frames
preventing interruptions.
### Other
- Added new `07h-interruptible-openpipe.py` example. This example shows how to
use OpenPipe to run OpenAI LLMs and get the logs stored in OpenPipe.
- Added new `dialin-chatbot` example. This examples shows how to call the bot
using a phone number.
## [0.0.29] - 2024-06-07
### Added
- Added a new `FunctionFilter`. This filter will let you filter frames based on
a given function, except system messages which should never be filtered.
- Added `FrameProcessor.can_generate_metrics()` method to indicate if a
processor can generate metrics. In the future this might get an extra argument
to ask for a specific type of metric.
- Added `BasePipeline`. All pipeline classes should be based on this class. All
subclasses should implement a `processors_with_metrics()` method that returns
a list of all `FrameProcessor`s in the pipeline that can generate metrics.
- Added `enable_metrics` to `PipelineParams`.
- Added `MetricsFrame`. The `MetricsFrame` will report different metrics in the
system. Right now, it can report TTFB (Time To First Byte) values for
different services, that is the time spent between the arrival of a `Frame` to
the processor/service until the first `DataFrame` is pushed downstream. If
metrics are enabled an intial `MetricsFrame` with all the services in the
pipeline will be sent.
- Added TTFB metrics and debug logging for TTS services.
### Changed
- Moved `ParallelTask` to `pipecat.pipeline.parallel_task`.
### Fixed
- Fixed PlayHT TTS service to work properly async.
## [0.0.28] - 2024-06-05
### Fixed
- Fixed an issue with `SileroVADAnalyzer` that would cause memory to keep
growing indefinitely.
## [0.0.27] - 2024-06-05
### Added
- Added `DailyTransport.participants()` and `DailyTransport.participant_counts()`.
## [0.0.26] - 2024-06-05
### Added
- Added `OpenAITTSService`.
- Allow passing `output_format` and `model_id` to `CartesiaTTSService` to change
audio sample format and the model to use.
- Added `DailyRESTHelper` which helps you create Daily rooms and tokens in an
easy way.
- `PipelineTask` now has a `has_finished()` method to indicate if the task has
completed. If a task is never ran `has_finished()` will return False.
- `PipelineRunner` now supports SIGTERM. If received, the runner will be
canceled.
### Fixed
- Fixed an issue where `BaseInputTransport` and `BaseOutputTransport` where
stopping push tasks before pushing `EndFrame` frames could cause the bots to
get stuck.
- Fixed an error closing local audio transports.
- Fixed an issue with Deepgram TTS that was introduced in the previous release.
- Fixed `AnthropicLLMService` interruptions. If an interruption occurred, a
`user` message could be appended after the previous `user` message. Anthropic
does not allow that because it requires alternate `user` and `assistant`
messages.
### Performance
- The `BaseInputTransport` does not pull audio frames from sub-classes any
more. Instead, sub-classes now push audio frames into a queue in the base
class. Also, `DailyInputTransport` now pushes audio frames every 20ms instead
of 10ms.
- Remove redundant camera input thread from `DailyInputTransport`. This should
improve performance a little bit when processing participant videos.
- Load Cartesia voice on startup.
## [0.0.25] - 2024-05-31
### Added
- Added WebsocketServerTransport. This will create a websocket server and will
read messages coming from a client. The messages are serialized/deserialized
with protobufs. See `examples/websocket-server` for a detailed example.
- Added function calling (LLMService.register_function()). This will allow the
LLM to call functions you have registered when needed. For example, if you
register a function to get the weather in Los Angeles and ask the LLM about
the weather in Los Angeles, the LLM will call your function.
See https://platform.openai.com/docs/guides/function-calling
- Added new `LangchainProcessor`.
- Added Cartesia TTS support (https://cartesia.ai/)
### Fixed
- Fixed SileroVAD frame processor.
- Fixed an issue where `camera_out_enabled` would cause the highg CPU usage if
no image was provided.
### Performance
- Removed unnecessary audio input tasks.
## [0.0.24] - 2024-05-29
### Added
- Exposed `on_dialin_ready` for Daily transport SIP endpoint handling. This
notifies when the Daily room SIP endpoints are ready. This allows integrating
with third-party services like Twilio.
- Exposed Daily transport `on_app_message` event.
- Added Daily transport `on_call_state_updated` event.
- Added Daily transport `start_recording()`, `stop_recording` and
`stop_dialout`.
### Changed
- Added `PipelineParams`. This replaces the `allow_interruptions` argument in
`PipelineTask` and will allow future parameters in the future.
- Fixed Deepgram Aura TTS base_url and added ErrorFrame reporting.
- GoogleLLMService `api_key` argument is now mandatory.
### Fixed
- Daily tranport `dialin-ready` doesn't not block anymore and it now handles
timeouts.
- Fixed AzureLLMService.
## [0.0.23] - 2024-05-23
### Fixed
- Fixed an issue handling Daily transport `dialin-ready` event.
## [0.0.22] - 2024-05-23
### Added
- Added Daily transport `start_dialout()` to be able to make phone or SIP calls.
See https://reference-python.daily.co/api_reference.html#daily.CallClient.start_dialout
- Added Daily transport support for dial-in use cases.
- Added Daily transport events: `on_dialout_connected`, `on_dialout_stopped`,
`on_dialout_error` and `on_dialout_warning`. See
https://reference-python.daily.co/api_reference.html#daily.EventHandler
## [0.0.21] - 2024-05-22
### Added
- Added vision support to Anthropic service.
- Added `WakeCheckFilter` which allows you to pass information downstream only
if you say a certain phrase/word.
### Changed
- `Filter` has been renamed to `FrameFilter` and it's now under
`processors/filters`.
### Fixed
- Fixed Anthropic service to use new frame types.
- Fixed an issue in `LLMUserResponseAggregator` and `UserResponseAggregator`
that would cause frames after a brief pause to not be pushed to the LLM.
- Clear the audio output buffer if we are interrupted.
- Re-add exponential smoothing after volume calculation. This makes sure the
volume value being used doesn't fluctuate so much.
## [0.0.20] - 2024-05-22
### Added
- In order to improve interruptions we now compute a loudness level using
[pyloudnorm](https://github.com/csteinmetz1/pyloudnorm). The audio coming
WebRTC transports (e.g. Daily) have an Automatic Gain Control (AGC) algorithm
applied to the signal, however we don't do that on our local PyAudio
signals. This means that currently incoming audio from PyAudio is kind of
broken. We will fix it in future releases.
### Fixed
- Fixed an issue where `StartInterruptionFrame` would cause
`LLMUserResponseAggregator` to push the accumulated text causing the LLM
respond in the wrong task. The `StartInterruptionFrame` should not trigger any
new LLM response because that would be spoken in a different task.
- Fixed an issue where tasks and threads could be paused because the executor
didn't have more tasks available. This was causing issues when cancelling and
recreating tasks during interruptions.
## [0.0.19] - 2024-05-20
### Changed
- `LLMUserResponseAggregator` and `LLMAssistantResponseAggregator` internal
messages are now exposed through the `messages` property.
### Fixed
- Fixed an issue where `LLMAssistantResponseAggregator` was not accumulating the
full response but short sentences instead. If there's an interruption we only
accumulate what the bot has spoken until now in a long response as well.
## [0.0.18] - 2024-05-20
### Fixed
- Fixed an issue in `DailyOuputTransport` where transport messages were not
being sent.
## [0.0.17] - 2024-05-19
### Added
- Added `google.generativeai` model support, including vision. This new `google`
service defaults to using `gemini-1.5-flash-latest`. Example in
`examples/foundational/12a-describe-video-gemini-flash.py`.
- Added vision support to `openai` service. Example in
`examples/foundational/12a-describe-video-gemini-flash.py`.
- Added initial interruptions support. The assistant contexts (or aggregators)
should now be placed after the output transport. This way, only the completed
spoken context is added to the assistant context.
- Added `VADParams` so you can control voice confidence level and others.
- `VADAnalyzer` now uses an exponential smoothed volume to improve speech
detection. This is useful when voice confidence is high (because there's
someone talking near you) but volume is low.
### Fixed
- Fixed an issue where TTSService was not pushing TextFrames downstream.
- Fixed issues with Ctrl-C program termination.
- Fixed an issue that was causing `StopTaskFrame` to actually not exit the
`PipelineTask`.
## [0.0.16] - 2024-05-16
### Fixed
- `DailyTransport`: don't publish camera and audio tracks if not enabled.
- Fixed an issue in `BaseInputTransport` that was causing frames pushed
downstream not pushed in the right order.
## [0.0.15] - 2024-05-15
### Fixed
- Quick hot fix for receiving `DailyTransportMessage`.
## [0.0.14] - 2024-05-15
### Added
- Added `DailyTransport` event `on_participant_left`.
- Added support for receiving `DailyTransportMessage`.
### Fixed
- Images are now resized to the size of the output camera. This was causing
images not being displayed.
- Fixed an issue in `DailyTransport` that would not allow the input processor to
shutdown if no participant ever joined the room.
- Fixed base transports start and stop. In some situation processors would halt
or not shutdown properly.
## [0.0.13] - 2024-05-14
### Changed
- `MoondreamService` argument `model_id` is now `model`.
- `VADAnalyzer` arguments have been renamed for more clarity.
### Fixed
- Fixed an issue with `DailyInputTransport` and `DailyOutputTransport` that
could cause some threads to not start properly.
- Fixed `STTService`. Add `max_silence_secs` and `max_buffer_secs` to handle
better what's being passed to the STT service. Also add exponential smoothing
to the RMS.
- Fixed `WhisperSTTService`. Add `no_speech_prob` to avoid garbage output text.
## [0.0.12] - 2024-05-14
### Added
- Added `DailyTranscriptionSettings` to be able to specify transcription
settings much easier (e.g. language).
### Other
- Updated `simple-chatbot` with Spanish.
- Add missing dependencies in some of the examples.
## [0.0.11] - 2024-05-13
### Added
- Allow stopping pipeline tasks with new `StopTaskFrame`.
### Changed
- TTS, STT and image generation service now use `AsyncGenerator`.
### Fixed
- `DailyTransport`: allow registering for participant transcriptions even if
input transport is not initialized yet.
### Other
- Updated `storytelling-chatbot`.
## [0.0.10] - 2024-05-13
### Added
- Added Intel GPU support to `MoondreamService`.
- Added support for sending transport messages (e.g. to communicate with an app
at the other end of the transport).
- Added `FrameProcessor.push_error()` to easily send an `ErrorFrame` upstream.
### Fixed
- Fixed Azure services (TTS and image generation).
### Other
- Updated `simple-chatbot`, `moondream-chatbot` and `translation-chatbot`
examples.
## [0.0.9] - 2024-05-12
### Changed
Many things have changed in this version. Many of the main ideas such as frames,
processors, services and transports are still there but some things have changed
a bit.
- `Frame`s describe the basic units for processing. For example, text, image or
audio frames. Or control frames to indicate a user has started or stopped
speaking.
- `FrameProcessor`s process frames (e.g. they convert a `TextFrame` to an
`ImageRawFrame`) and push new frames downstream or upstream to their linked
peers.
- `FrameProcessor`s can be linked together. The easiest wait is to use the
`Pipeline` which is a container for processors. Linking processors allow
frames to travel upstream or downstream easily.
- `Transport`s are a way to send or receive frames. There can be local
transports (e.g. local audio or native apps), network transports
(e.g. websocket) or service transports (e.g. https://daily.co).
- `Pipeline`s are just a processor container for other processors.
- A `PipelineTask` know how to run a pipeline.
- A `PipelineRunner` can run one or more tasks and it is also used, for example,
to capture Ctrl-C from the user.
## [0.0.8] - 2024-04-11
### Added
- Added `FireworksLLMService`.
- Added `InterimTranscriptionFrame` and enable interim results in
`DailyTransport` transcriptions.
### Changed
- `FalImageGenService` now uses new `fal_client` package.
### Fixed
- `FalImageGenService`: use `asyncio.to_thread` to not block main loop when
generating images.
- Allow `TranscriptionFrame` after an end frame (transcriptions can be delayed
and received after `UserStoppedSpeakingFrame`).
## [0.0.7] - 2024-04-10
### Added
- Add `use_cpu` argument to `MoondreamService`.
## [0.0.6] - 2024-04-10
### Added
- Added `FalImageGenService.InputParams`.
- Added `URLImageFrame` and `UserImageFrame`.
- Added `UserImageRequestFrame` and allow requesting an image from a participant.
- Added base `VisionService` and `MoondreamService`
### Changed
- Don't pass `image_size` to `ImageGenService`, images should have their own size.
- `ImageFrame` now receives a tuple`(width,height)` to specify the size.
- `on_first_other_participant_joined` now gets a participant argument.
### Fixed
- Check if camera, speaker and microphone are enabled before writing to them.
### Performance
- `DailyTransport` only subscribe to desired participant video track.
## [0.0.5] - 2024-04-06
### Changed
- Use `camera_bitrate` and `camera_framerate`.
- Increase `camera_framerate` to 30 by default.
### Fixed
- Fixed `LocalTransport.read_audio_frames`.
## [0.0.4] - 2024-04-04
### Added
- Added project optional dependencies `[silero,openai,...]`.
### Changed
- Moved thransports to its own directory.
- Use `OPENAI_API_KEY` instead of `OPENAI_CHATGPT_API_KEY`.
### Fixed
- Don't write to microphone/speaker if not enabled.
### Other
- Added live translation example.
- Fix foundational examples.
## [0.0.3] - 2024-03-13
### Other
- Added `storybot` and `chatbot` examples.
## [0.0.2] - 2024-03-12
Initial public release.
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