How to Build a Voice AI Agent with OpenAI's GPT-Live, Twilio Agent Connect, and Python
Blog post from Twilio
Twilio’s tutorial explains how to build a Python-based phone voice agent using OpenAI’s full-duplex GPT-Live models and the Twilio Agent Connect SDK, which connects Twilio Programmable Voice Media Streams to GPT-Live without requiring custom WebSocket infrastructure. The example configures a FastAPI server, environment credentials, an 8 kHz mu-law audio format compatible with Twilio, and a proactive greeting that speaks when callers connect. It demonstrates tool use through OpenAI Responses API delegation, where GPT-Live decides when to request a function such as a weather lookup while Twilio Agent Connect executes the Python function and returns its result without blocking the real-time speech loop. The tutorial also covers configuring a Twilio number’s webhook, testing inbound calls, recording transcripts when conversations end, and initiating outbound calls for uses such as reminders or updates, subject to applicable regulations and Twilio policies. Additional capabilities include per-call customization, call-status and recording callbacks, answering-machine detection, support for other messaging channels, and interchangeable voice backends such as Conversation Relay and the OpenAI Realtime API.
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