New Twilio SMS Notification Channel to stay informed about application status

Valerio Barbera

Hi, I’m Valerio software engineer from Italy, and CTO at Inspector.

I am really happy to announce the general availability of our brand new “Twilio – SMS” notification channel.

If you are a busy developer you now have one more option to intelligently forward your notificiations directly in your smartphone, stay informed about your application status, and sleep better at night.

How Twilio Notification Channel Works

We decided to implement this integration in a way that Inspector will connect to your Twilio account on your behalf, so you can keep total control about your credit spent to forward SMS to your mobile number.

We thought carefully about the option to use directly our Twilio account, but we should have revised our rates making them more difficult to understand. Furthermore you could have an existing Twilio account that allows you to access a more convenient price.

Configuration

You need three mandatory parameters from your Twilio console:

  • Account SID
  • Auth Token
  • From number

You can find these information directly in your Twilio console: https://www.twilio.com/console.

As recipients you can add as many phone numbers you want to receive selected notifications. Separate each number with a comma ( , ), but consider that each number will receive a separate SMS, so each of them contributes to the consumption of your Twilio credit.

For a more complete overview you can rely on our official documentation at: https://docs.inspector.dev/notifications/twilio-sms

Conclusion

If you are an Inspector user I hope you can find this new channel useful. We continue to make decisions trying to help as many developers as possible to monitor their code execution effortlessly with the easiest Code Execution Monitoring system out there.

If you don’t know Inspector yet, you can learn more about its Code Execution Monitoring system for PHP and Nodejs on our website: https://inspector.dev

Related Posts

How to Stop a Streamed AI Response Mid-Flight in Neuron AI v3

One thing I didn’t anticipate when building Neuron AI was how many edge cases would surface not from the AI integration itself, but from the UI layer sitting on top of it. Developers don’t just want agents that work. They want agents that feel right to use. And the moment you start building chat interfaces

Conversational Data Collection: Introducing AIForm

One of the more interesting things about building an open-source framework is that the community often knows what to build next before you do. When I started Neuron AI, I had a fairly clear picture in my head of the core primitives: agents, tools, workflows, structured output. What I didn’t fully anticipate was how quickly

Neuron AI Now Supports ZAI — The GLM Series Is Worth Your Attention

There’s a pattern I’ve noticed over the past year while working on Neuron AI: the decisions that matter most are rarely about chasing trends. They’re about quietly recognizing something that works, testing it seriously, and integrating it so that other developers can benefit without having to do that work themselves. That’s the honest story behind