Releases · shipclojure/simulflow

[0.1.7-alpha] - 2025-08-13

Voice Activity Detection protocols that the transport-in processors can use. See protocol here
Silero Voice Activity Detection model running through Onnx Runtime
parameter :vad/analyser to all transport-in processor params to pass a VAD analyser like Silero to be ran on each new audio chunk. This is useful for logic that handles AI interruptions and improves turn taking.
Added malli schema for audio-output-raw frames
Added simulflow.frame/send helper function that outputs frames based on their appropriate direction - used now in most processors
Twilio Integration: Twilio serializer with make-twilio-serializer for WebSocket communication
Audio Resampler Processor: New processor for real-time sample rate conversion
System Frame Router: New system-frame-router processor for handling system message routing in complex flows
Interruption Support: New frame types for bot interruption handling: control-interrupt-start, control-interrupt-stop, bot-interrupt

Made 16kHz signed PCM mono audio be the default audio that runs through the pipeline. All audio-input-raw frames that come through pe pipeline are expected to be this way.
POTENTIAL BREAKING frame/audio-output-raw are now expected to contain the sample-rate of the audio. The sample rate will be used for chunking and final output conversion. If you have custom Text to speech generators, you need to update them to use it.
Changed examples to use silero vad model for VAD instead of relying on Deepgram
BREAKING Processors that outputted system-frames (see frame/system-frames set for a list of system frames) will output them exclusively on :sys-out channel and normal frames on :out channel.
Audio Processing: Enhanced audio conversion with improved µ-law/PCM support and step-by-step conversion planning

Audio Conversion: Fixed critical bug in PCM 16kHz to Twilio µ-law 8kHz conversion where downsampling must occur before encoding conversion
Transport: Removed duplicate system frame passthrough that was causing duplicate frames

Added

Change frame format from records to maps with specific meta for easier debugging

Functionality to describe a process parameters with malli schema only

Google llm support. Example usage: gemini.clj

Scenario Manager for handling complex conversation flows

Activity Monitor to ping user or end call when no activity is detected for specific period

Bot speaking events tracking