Vapi works by acting as an orchestration layer over Speech-to-Text (STT), Large Language Model (LLM), and Text-to-Speech (TTS) providers, allowing users to bring their own LLMs and custom voices. The platform features various latency optimizations, manages the coordination of interruptions and turn-taking, and other conversational dynamics. Users can create their own voice AI on the Vapi Dashboard by adding a prompt, choosing a model and voice, and even putting it behind a phone number. More details about the system, API, and client libraries can be found in the Vapi documentation.
Key takeaways:
- Vapi is a platform designed to make voice AI's as simple, reliable, and accessible as any other API, with a focus on developers.
- Vapi solves foundational challenges that voice AI applications face, such as simulating natural human conversation, meeting realtime/low latency demands, taking actions, and extracting conversation data.
- Vapi acts as an orchestration layer over Speech-to-Text (STT), Large Language Model (LLM) and Text-to-Speech (TTS) providers, allowing developers to bring their own LLMs and custom voices.
- Vapi has built various latency optimizations and manages the coordination of interruptions, turn-taking, and other conversational dynamics, allowing developers to focus on building applications without worrying about the underlying technology.