How to Connect Your Twilio Agent to External APIs in Python
Blog post from Twilio
A Twilio tutorial demonstrates how to build a Python voice AI agent that uses Conversation Relay, OpenAI tool calling, and external REST APIs to provide real-time information and perform actions during phone conversations. The example creates a FastAPI application connected to a Twilio voice number through a WebSocket, uses ngrok to expose local webhook endpoints, and stores the OpenAI API key in environment variables. It configures an OpenAI system prompt and function tool that require the model to retrieve, rather than invent, cat facts from the unauthenticated Cat Facts API using asynchronous HTTP requests. The application streams model responses to callers for lower perceived latency, detects tool calls, executes the requested API operation, returns the result to the model, and then streams the final spoken response. The tutorial also explains Twilio webhook setup, testing by calling the configured number, and common troubleshooting steps involving ngrok URLs, API keys, and authentication requirements for expanded API integrations.
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