Announcing VideoSDK Inference: One Magic API for Every Voice AI Model
Blog post from Video SDK
Inferencing in VideoSDK AI Voice Agents simplifies the creation and deployment of AI voice agents by integrating speech-to-text (STT), language models (LLMs), text-to-speech (TTS), and realtime models into a unified pipeline, eliminating the need to manage multiple vendor accounts and API keys. This innovation allows developers to use the Agent Runtime Dashboard and Python Agents SDK to configure and deploy voice agents with ease, offering flexibility through CascadingPipeline for modular processing and RealTimePipeline for low-latency, fully streaming interactions. By centralizing authentication, routing, and billing under VideoSDK, developers can rapidly experiment, iterate, and implement voice agents directly from the dashboard or programmatically, significantly reducing the time from concept to deployment. This approach enhances the capability of AI voice agents, making them more accessible and adaptable to various applications, while allowing seamless provider switching and model management.