WeAreDevelopers LIVE Oct 14, 2025

Minimal infrastructure for Real‑Time Phone Agents: transcripts in, responses out

Chris Heilmann , Daniel Cranney , Marius Obert , Staff Evangelist At Twilio

Skip the massive architectural hurdles of voice AI. Deploy real-time, context-aware phone agents in under 100 lines of TypeScript with Twilio Conversation Relay.

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#1 about 2 min

Minimal infrastructure for real-time phone agents

An overview of the minimal components required to build an AI agent accessible via standard phone calls.

#2 about 3 min

Comparing voice and text interaction speeds

Voice inputs offer a hands-free alternative while requiring consideration of cognitive load and synchronous processing limitations.

#3 about 3 min

Challenges of managing voice architecture and latency

Building a voice interface requires careful orchestration of speech recognition, interruption detection, and language model pipelines.

#4 about 3 min

Abstracting complexity with Twilio Conversation Relay

Twilio Conversation Relay manages speech-to-text, text-to-speech, and latency optimizations while decoupling core application logic.

#5 about 8 min

Building a WebSocket server with Deno

A Deno-based WebSocket server parses TwiML instructions, configuring voice models and handling initial connection headers.

#6 about 3 min

Connecting a Twilio phone number to the webhook

Purchasing a local phone number and linking its programmatic routing directly to the deployed web server.

#7 about 6 min

Integrating OpenAI for real-time streaming responses

Streaming large language model outputs minimizes latency by speaking words immediately as language chunks arrive rather than waiting for complete sentences.

#8 about 5 min

Maintaining conversation history and preserving context

Session memory stores historical conversation threads and maps unique request IDs across concurrent connection streams.

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