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Runs & Jobs

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A run represents a single execution of a pipeline. Each run contains one or more jobs that agents execute. The Orchestrator provides real-time monitoring, log streaming, and artifact collection for every run.

  1. A run is triggered (manually, via API, or by webhook)
  2. The orchestrator queues the run and creates jobs
  3. An available agent matching the job’s required labels claims the job
  4. The agent downloads the pipeline, executes graph nodes, and streams logs
  5. On completion, artifacts are uploaded and the run is marked as succeeded or failed

From your project page, click the Run button and select a pipeline and branch. The run enters the queue and is picked up by the next available agent.

For API and webhook triggers, see Triggers and REST API.

Click on any run to see its detail page:

  • Status: Queued, running, succeeded, failed, or cancelled
  • Jobs: Individual job statuses within the run
  • Duration: Total execution time
  • Attempt number: Runs can have multiple attempts (re-runs)

The log viewer streams output in real-time while the agent executes. It supports ANSI colors for formatted terminal output. Logs are preserved after the run completes.

For graph-based pipelines (.act files), the run detail page embeds an interactive graph viewer showing which nodes are currently executing, making it easy to follow the pipeline’s progress visually.

The Queue page shows all pending and running jobs:

  • Drag-to-reorder: Prioritize pending jobs by dragging them in the queue
  • Bulk cancel: Select and cancel multiple queued runs
  • Real-time updates: The queue updates live as jobs are claimed and completed

On the run detail page, click Re-run to create a new attempt. All previous attempts are preserved and accessible from the run page.

Agents can upload artifacts during job execution. Once a run completes, artifacts are listed on the run detail page with:

  • Filename and size
  • SHA-256 checksum
  • Download link

The Artifacts page provides a global view with search and filtering across all runs and projects.

For programmatic access to runs and artifacts, see REST API.