TICKET MANAGEMENT
Build a regression repro-kit from a Zendesk ticket and open a GitHub issue
When a Zendesk ticket is tagged as a regression, an agent extracts the reproduction steps, environment, and version details, attaches the customer's screenshots.
How it runs
The automated pipeline, trigger to output.
- TriggerZendesk ticket tagged 'regression'Zendesk
- ActionRead full ticket thread and customer metadataZendesk
- ActionAgent distills repro steps, env, and expected vs actualOpenAI
- LogicIf repro steps or version missing, post internal note and stop
- ActionCreate structured GitHub issue with screenshotsGitHub
- OutputWrite GitHub issue URL back to the Zendesk ticketZendesk
What it does
Turns a messy customer-reported regression into an engineering-ready GitHub issue. The agent reads the Zendesk ticket thread, distills numbered reproduction steps, captures the reported environment (browser, OS, app version, account tier), pulls in attached screenshots, and files a clean issue with a consistent template so triage isn't blocked on missing detail.
When to use it
Use it when your support team tags tickets `regression` and engineering keeps bouncing them back for lacking repro steps or environment data. It removes the back-and-forth and gives every bug report the same skeleton.
How it works
- 1A Zendesk ticket gets the `regression` tag, firing the trigger.
- 2The agent reads the full comment thread and customer metadata via Zendesk.
- 3It synthesizes ordered repro steps, expected vs. actual behavior, and the environment block.
- 4A logic step checks that steps and a version string were found; if not, it posts an internal Zendesk note asking the agent for the missing field instead of filing.
- 5Screenshots from the ticket are uploaded to the GitHub issue.
- 6A formatted GitHub issue is created and its URL is written back to the Zendesk ticket.
Set it up
What you configure once, before turning it on.
- 1Connect ZendeskTickets, queues, knowledge base.
- 2Connect GitHubRepos, issues, pull requests, actions.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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