pipecat-ai/pipecat v0.0.29

on GitHub

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.