Workbenches

Overview

Workbenches are named, project-scoped environments for running AI-driven operations against your infrastructure. Each workbench bundles a system prompt, a set of capabilities, connected tools, and automation triggers into a reusable workspace.

At runtime, a job is created — the agent executes using the configured capabilities and tools, emitting a live stream of activities as it works. When finished it produces a structured conclusion that can include summaries, dashboards, follow-up todos, topology pointers, and opened pull requests.

Core concepts

Workbench

The parent configuration object. It defines the agent's identity (name, system prompt), the project it belongs to, the agent runtime to use, which capabilities are enabled, which tools are attached, and who has access.

Job

A single run of the agent against a prompt. Each job has a status (pending, running, complete, failed) and a streaming activity log you can follow in real time. See Running workbench jobs.

Tools