Build a voice agent with function calling

This tutorial provides a comprehensive guide to building a customer support voice agent using function calling, emphasizing the importance of accurate speech-to-text (STT) transcription for effective operation. The process involves using AssemblyAI's Universal-3 Pro Streaming model for STT, OpenAI's GPT-4o for large language model (LLM) orchestration, and ElevenLabs for voice output, highlighting how transcription errors can lead to function call failures. The tutorial outlines the setup and integration of these technologies to enable the voice agent to perform tasks such as checking order status, scheduling callbacks, and transferring calls to human agents, stressing that STT accuracy is crucial for reliable function execution. The Universal-3 Pro Streaming model is praised for its lower missed entity rates compared to competitors, which significantly enhances the reliability of the voice agent by accurately capturing critical data like phone numbers and order IDs.

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