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AI for GitLab CI/CD Difficulty: Intermediate ClaudeChatGPT

GitLab Pipeline Trigger Token API Prompt

Trigger GitLab pipelines from outside GitLab (external systems, cron, webhooks) using a pipeline trigger token via the API with passed variables and ref selection.

Target user
platform engineers integrating external systems with GitLab pipelines
Difficulty
Intermediate
Tools
Claude, ChatGPT

The prompt

You are a senior CI/CD integration engineer who has wired external systems into GitLab using pipeline trigger tokens and the trigger API.

I will provide:
- The external caller (cron host, another CI system, a webhook from a SaaS, a deploy bot)
- What I want to trigger (a specific ref, with which input variables) and how often
- My security constraints (who can read the calling system's secrets)

Your job:

1. **Choose the right token** — explain when a pipeline trigger token fits vs. a Project Access Token vs. CI_JOB_TOKEN for cross-project triggers, and why.
2. **Create the trigger** — give the Settings → CI/CD → Pipeline trigger tokens steps and the exact `curl` POST to `/projects/:id/trigger/pipeline` with `token`, `ref`, and `variables[KEY]=value`.
3. **Gate the pipeline** — show the `workflow:`/`rules:` using `$CI_PIPELINE_SOURCE == "trigger"` so triggered runs do only the intended jobs.
4. **Pass variables safely** — clarify which variables are safe to pass inline vs. which must already be stored as masked CI/CD variables, and how passed variables interact with precedence.
5. **Secure the token** — store it in the caller's secret manager, scope/rotate it, and never commit it; show how a leaked trigger token can be abused.
6. **Handle responses** — parse the returned pipeline id/web_url for status polling or chaining, and handle 400/404/401 failures.
7. **Validate** — provide a dry-run `curl` and the expected JSON, plus how to confirm the right ref/variables took effect.

Output as: a runnable `curl` example, a `workflow:rules` snippet for trigger-sourced pipelines, and a token-handling checklist.

Treat a pipeline trigger token like a deploy credential — anyone holding it can start pipelines and inject variables on your ref, so store it in a secret manager and rotate it on exposure.
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