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TwilioAmanda Lange16 min readtutorialintermediate

How to Orchestrate Multi-Call Conversations with an LLM and Twilio Conversation Memory

Read on twilio.com

Summary

A step‑by‑step tutorial for building a C# ASP.NET Core service that uses Twilio Conversation Memory and OpenAI’s gpt‑4o‑mini to retain caller context across multiple phone calls, with full code snippets, environment setup, and prompts for both real‑time response streaming and call summarization.

  • Twilio Conversation Memory stores per‑caller state (preferences, action history) that survives call drops and reconnections.
  • The guide shows how to create a Memory Store in the Twilio console and retrieve its ID for API use.
  • C# code demonstrates wiring OpenAI’s chat client, constructing system prompts, streaming token‑by‑token responses over a WebSocket, and summarizing the call for storage.
  • Configuration is managed via a .env file with Twilio API keys, Memory Store ID, and OpenAI API key.

Persisting conversational context across phone calls eliminates the frustration of having to repeat information, enabling more natural and efficient voice‑based AI assistants. The tutorial provides a concrete, production‑ready pattern for integrating LLMs with Twilio’s memory service, which can be…

6/10
llmcsharptwilioopenaiconversation memorynet

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