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Tools for tracking the execution lifecycle and results of function calls.
Distinct from Function Execution Engines: Focuses on monitoring and observability of execution rather than the engine that performs the routing.
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Pipecat is a framework and software development kit for building real-time multimodal AI agents and speech-to-speech systems. It utilizes a frame-based data pipeline to route audio, video, and text through a modular sequence of processors, enabling the orchestration of low-latency conversational AI. The project is distinguished by its ability to coordinate complex multimodal services, including speech-to-text, language models, and text-to-speech, within a single pipeline. It features semantic voice activity detection for natural turn-taking, state-machine conversation flows for dialogue manag
Provides monitoring for the lifecycle, arguments, and results of model-initiated function calls.