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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.

[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.