AI AGENTS
Chat-Requested Shell-Gated Upgrade Agent
An engineer asks in chat to bump a named package; the agent pins the requested version, validates it in a sandboxed shell.
How it runs
The automated pipeline, trigger to output.
- TriggerChat request naming package and version
- ActionPin version, apply, and run tests in sandboxed shellShell
- LogicBranch on test pass or fail
- ActionOpen GitLab MR on successGitLab
- OutputReply in chat with MR link or failing test output
What it does
This agent turns a one-line chat request into a validated upgrade. An engineer names a package and target version; the agent pins it, proves it in a sandboxed shell, and answers in the same thread with an MR link or the precise failure that blocked it.
When to use it
Use it when developers want self-serve, on-demand dependency bumps without context-switching into a terminal. It removes the busywork of branching, installing, and running tests by hand.
How it works
- 1A chat message triggers the run with the package name and desired version.
- 2The agent pins the exact version, applies it in a sandboxed shell, and runs the test suite.
- 3A logic gate branches on the test result.
- 4On success it opens a GitLab MR and replies in-thread with the link and a short summary.
- 5On failure it replies with the failing test names and log tail so the requester can decide next steps.
Set it up
What you configure once, before turning it on.
- 1Connect ShellRun sandboxed commands inside the workspace.
- 2Connect GitLabRepos, MRs, pipelines, registry.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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