AI Gateway Workspace Control
Workspace Control gives organization admins a central view of every workspace in their AI Gateway organization — showing each workspace's name, slug, creation date, and last update — and lets them create new workspaces for teams, projects, or applications.
| Where Can I Use This? | What Do I Need? |
|---|
- Prisma AIRS AI Gateway (Americas region)
|
- AI Gateway activated
- Organization owner or admin role in Strata Cloud Manager
|
AI Gateway Workspace Control provides organization
admins with a centralized inventory to manage the complete lifecycle of every workspace across
the enterprise. Accessible in Strata Cloud Manager under , it streamlines access management, cost attribution, and project offboarding
from a single interface.
A workspace is AI Gateway's unit of isolation. Each workspace is a logical container
that scopes LLM integrations, budget limits, rate limits, guardrail policies, security
keys, and routing configurations to a specific team or application. Traffic from one
workspace cannot access the models or data of another. When a workspace is created, the
gateway automatically generates a virtual key — a scoped credential developers
include in the x-portkey-virtual-key request header to route requests
to that workspace's allowed LLM integrations.
The Workspace Control page lists all workspaces in your organization with the
following details:
- Workspace Name — The human-readable label for the workspace (for example,
gour_test_workspace or main_workspace).
- Slug — A unique, system-generated identifier for the workspace (for example,
ws-gour-47ee54), used in API calls and configuration references.
- Created At — The date and time the workspace was created.
- Last Update — The date and time the workspace configuration was last
modified.
From the Workspace Control page, organization admins can create new workspaces using
the + Create Workspace button. Within each workspace, workspace
managers can configure integrations, create security keys, define policies, and manage
team membership independently of other workspaces.
For complete details on the workspace hierarchy, user roles and permissions, and managing
workspace lifecycle, see the
AI Gateway workspace control documentation.
