Building a programmable voice client with Python, PJSIP and VoIPstudio (Part 2)

An illustration with a Python, PJSIP and VoIPstudio logos and an AI voice assistant illustration

Table of contents

Connecting Python (PJSIP) to VoIPstudio in 30 minutes

This guide follows on from AI-powered voice assistant with Python, PJSIP and VoIPstudio (Part 1) and walks through the basic steps required to build a programmable SIP client using Python and connect it to VoIPstudio. Examples based on an open-source project developed by Luis Miguel.

Step 1: Create a VoIPstudio account

  1. Sign up for a free trial.
  2. Create a SIP extension.
  3. Note the following credentials:
    • SIP Username
    • SIP Password
    • SIP Domain (e.g. sip.voipstudio.com)

These credentials will be used for registration.

Step 2: Clone the open-source client

Repository:
https://github.com/luismiguelbp/voip-client-python
Project: voip-client-python

Clone locally:

				
					git clone https://github.com/luismiguelbp/voip-client-python.git
cd voip-client-python
				
			

This project already includes:

  • SIP account registration logic
  • Call initiation handling
  • Media stream management
  • Event callbacks

Step 4: Place an outbound call

Minimal example:

				
					call = MyCall(account, pj.CallOpParam(True))
call.makeCall("sip:+441234567890@sip.voipstudio.com", pj.CallOpParam(True))
				
			

From here you can:

  • Inject pre-recorded audio
  • Generate speech dynamically
  • Attach real-time AI logic
  • Process inbound audio streams

Step 5: Extend with AI

You now have a programmable voice channel.

From this point you can integrate:

  • Speech-to-text engines
  • LLM-driven conversational models
  • Custom escalation workflows
  • Dynamic IVR trees

VoIPstudio handles:

  • SIP transport
  • Call routing
  • PSTN connectivity
  • Global number provisioning

You control the intelligence layer.

Deployment options

Because the client is standards-based SIP, it can run:

  • On-premise (industrial environments)
  • On a Linux server
  • In a Docker container
  • In a cloud VM
  • Inside a larger automation platform

No proprietary telephony SDK is required.

Why this approach scales

Many AI voice platforms tightly couple intelligence and telephony.

This architecture separates them:

  • AI can evolve independently.
  • Telephony infrastructure remains stable.
  • Developers maintain full protocol-level control.

For system integrators and infrastructure engineers, this reduces long-term lock-in risk.

Next steps

  • Fork the repository.
  • Connect it to your VoIPstudio trial.
  • Build your first programmable voice workflow.

If you need SIP trunking at scale or global number provisioning, VoIPstudio provides the transport layer.

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Install VoIPstudio on Linux

.deb

1. Download .deb package

				
					wget https://repo.ssl7.net/repo/voipstudio/stable/main/binary/VoIPstudio_current_amd64.deb
				
			

2. Install VoIPstudio

				
					sudo dpkg -i VoIPstudio_current_amd64.deb