Overview

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In preview

Workflows, Automations, and the Agent Registry are in preview. Features and behavior may change before general availability. To request access, contact your OpsLevel account representative.

Workflows, Automations, and the Agent Registry let you run AI agents across your engineering org as a shared, repeatable way of working. Agents draw on the context you already keep in OpsLevel, and people stay involved wherever your standards call for it.

How the pieces fit together

ConceptWhat it is
WorkflowA defined process for a kind of work, made of steps. Starts manually, or from a trigger.
StepOne part of a workflow: an Automation, an HTTP request, an approval, or a wait.
AutomationA repeatable task done by an AI agent, set up with the agent, model, and context it needs. Runs on its own or as a workflow step.
AgentAn AI agent that does the work: one of OpsLevel's built-in agents, or one from an integration like Anthropic.
RunOne execution of a workflow or Automation, with its status, steps, and logs recorded.

A workflow coordinates the work. Automations do the AI parts of it, using the agents in your Agent Registry.

Example: a bug fix, from ticket to pull request

  1. A ticket is labeled for an agent, which starts the workflow through a webhook trigger.
  2. An Automation reviews the ticket and decides whether it has enough information to act on.
  3. If it doesn't, the workflow comments on the ticket asking for details, and stops.
  4. If it does, a second Automation generates the code change and opens a pull request.
  5. An approval step waits for an engineer to review the change.
  6. The workflow updates the ticket with the result.

What you'll need

  • Catalog: the services your workflows will touch, with owners. Agents use the catalog for context about your services.
  • Git integration: for workflows and Automations that change code.
  • Other integrations as needed: for example, your ticketing system or Slack, if your workflows start from tickets or post updates.

Next steps


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