Build an SMS Support Agent with Follow-Up on Telnyx Edge Compute
A lot of AI support demos stop after one reply. Customer asks a question. Model answers. Demo done. Real support usually needs a little more than that. You need message history, background processing, a way to send the reply, and sometimes a follow-up if the customer goes quiet. This example builds that flow as an SMS support agent on Telnyx Edge Compute. Code:…
This article outlines how to create an SMS support agent with follow-up functionality using Telnyx Edge Compute. The system receives inbound SMS messages, routes them to a durable Agent SDK actor, processes them using Telnyx AI Inference, sends replies through Telnyx Messaging, and schedules a 24-hour follow-up if the customer goes silent.
The webhook does not need to wait on the LLM, as it stores the message and queues the work, allowing it to acknowledge quickly. The agent utilizes various primitives from the Telnyx Edge Runtime Agent SDK, including durable conversation history, background AI processing, and scheduling tasks. The Telnyx API access is accessed through zero-credential authentication using the [telnyx] binding in the telnyx.toml file.
The main routes include receiving inbound SMS, simulating an SMS, inspecting actor state, and health checks. Real SMS functionality is enabled by setting the Telnyx Messaging Profile webhook URL. The follow-up logic ensures that the agent checks the last message in the conversation history and sends a nudge if the customer hasn't replied within 24 hours.
The article also provides a list of resources, including code, Agent SDK documentation, quickstart guides, and various Telnyx APIs. While this is a basic starter pattern, it demonstrates a clean way to build an AI support agent that can answer, remember, and follow up with customers.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
