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Changelog

All notable changes to pipecat will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[Unreleased]

Added

  • Added AWS Polly TTS support and 07m-interruptible-aws.py as an example.

  • Added InputParams to Azure TTS service.

  • 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 we introduce synchronous and asynchronous frame processors. The synchronous processors push output frames from the same task that they receive input frames, and therefore only pushing frames from one task. Asynchronous frame processors can have internal tasks to perform things asynchronously (e.g. receiving data from a websocket) but they also have a single task where they push frames from.

    By default, frame processors are synchronous. To change a frame processor to asynchronous you only need to pass sync=False to the base class constructor.

  • 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 TextFrames (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. This is a synchronous frame processor (i.e. given an input text frame it will wait for the whole output before returning).

  • 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

  • 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 ensuring all the processors in each of the internal pipelines are synchronous.

  • StartFrame is back a system frame so we 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 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.

[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.

  • AudioRawFrames 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 FrameProcessors 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

[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. 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.

  • Frames 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.

  • FrameProcessors process frames (e.g. they convert a TextFrame to an ImageRawFrame) and push new frames downstream or upstream to their linked peers.

  • FrameProcessors 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.

  • Transports 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).

  • Pipelines 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.