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Mechanisms to modify user input or inject external state before an agent generates a reply.
Distinct from Input-Driven Turn Preemption: Distinct from Input-Driven Turn Preemption: focuses on modifying the content of the turn before processing, not canceling the current turn.
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This project is a framework for developing multimodal AI agents that function as programmable participants in real-time communication rooms. It enables the construction of agents that can see, hear, and speak by integrating speech-to-text, large language models, and text-to-speech pipelines to facilitate low-latency, natural conversations. The system is distinguished by its advanced orchestration of real-time media and conversational flow, including support for full-duplex speech, preemptive response generation, and sophisticated interruption management. It further differentiates itself throu
Allows for the modification of user input or injection of external context before the agent generates a response.