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C3 AI Studio Environments List

The Envs (Environments) page in C3 AI Studio lists all environments within your cluster. An environment is a group of resources within your cluster. Use environments to develop and test applications in isolation. To create a new environment, visit Create an Environment in C3 AI Studio. For an overview of C3 AI Studio, see Introduction to C3 AI Studio.

The Environments page includes the following sections:

Filter panel

Use the Filter panel to limit environments shown in the list. The following controls are available:

  • Environment name selector: Select a specific environment to display in the list.
  • Environment type: Choose to display Single Node or Shared environments. Both environment types are shown by default.
  • Created by selector: Filter environments by their creators.
  • Status options: Inclusively filter by environment status. For all supported values, see Environment lifecycle status.
  • Server version selector: Filter by a specific server version number.
  • Applications: Filter environments by application count. Select a comparison operator (for example, = or ≤), and enter the number to compare.
  • Nodes: Filter environments by node count. Select a comparison operator (for example, = or ≤), and enter the number to compare.

Select Clear All to clear all applied filters.

Environments list

The environments list shows environments you can access within your C3 AI Studio cluster. Users with a StudioAdmin or ClusterAdmin role can see all environments created in the cluster. If you are not an Admin user, the list will only contain environments you created. Select New Environment to create a new environment.

By default, the list shows 10 items per page. Use the items per page selector to change the number of items shown, and use the pagination controls to change pages.

Each row in the list shows the following information:

  • Environment name: The name of the environment, preceded by an icon representing the type of environment. Select the name for more detailed information about the environment.
  • Status: Displays the current status of the environment. For a list of supported values, see Environment lifecycle status.
  • Server version: The C3 Agentic AI Platform version deployed in the environment.
  • Applications: The number of applications used by the environment. Select the number for a list of applications in the environment.
  • Nodes: The number of nodes used by the environment. Select the number to view the environment service catalog.
  • Created: The environment's creator and time of creation.

The contents of the environments list are constrained by the Filter panel. You can also use the Search input to filter the list by Environment name, Status, or Server version.

Environment actions menu

Select ... on a row to access environment actions, such as:

  • Open in VS Code: Connect a new VS Code development session to the environment.
  • Open in Console: Access the environment in C3 AI Console.
  • Stop environment: Pause the environment's resource usage. This action does not destroy the environment or its applications, and is only present for running environments.
  • Resume environment: Restart a stopped environment.
  • Upgrade environment: Update the C3 Agentic AI Platform server version used by the environment. This action is only present for running environments.
  • Restart environment: Restart the nodes used by the environment. This action only applies to single node environments (SNEs), and can only be accessed by environment, studio, or cluster administrators.
  • Terminate environment: Permanently destroy an environment and any applications it contains. This action cannot be reversed.

Environment lifecycle status

An environment may show one of the following statuses:

  • Starting
  • Running
  • Stopping
  • Stopped
  • Terminating
  • Unknown
  • Error
  • Upgrading

For a walkthrough on creating a new environment, see Create an Environment in C3 AI Studio. To manage an existing environment, see Manage Environments and Applications in C3 AI Studio.

See also

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