Changelog

Air Context indexes your organization's Git repositories and lets AI agents search them semantically instead of running ad-hoc searches and file reads. Admins control which repositories are indexed and how on the new Air Context page in JetBrains Console.

See Air Context indexing.

You can now use GitHub Copilot as a coding agent through JetBrains Central CLI, alongside Claude Agent, Codex, Gemini CLI, Junie CLI, and Pi. Connect it with central add copilot --provider=openai (or --provider=anthropic), then open a new terminal. No GitHub account or Copilot subscription is required.

See the JetBrains Central CLI documentation.

The Audit page in JetBrains Console now lets you filter the log by the target affected by an action, such as groups, users, and service accounts.

See Audit.

In JetBrains Console, the Contact button is also available for user-created service accounts in AI credit consumption and Session explorer, emailing the user who created the account. It is not available for system-created service accounts.

See Contact the user who started a session.

You can now upgrade to a paid plan on the AI settings page in JetBrains Console or switch back to the Basic plan.

On a paid plan, users need AI seats to use AI-powered features: one seat per user. You can buy AI seats and monitor their usage.

AI policies, AI provider management, agent and MCP server management, and the Analytics API are no longer in the Early Access Program (EAP) and are now available in the Business and Enterprise plans only. If you previously opted in to the EAP, you have free access to these features for a limited time.

See Plans and pricing, Manage plans, and AI seats.

Air Governance now lets you configure a Bring Your Own Cloud (BYOC) connection to your organization's own cloud infrastructure for running remote agent tasks. You can connect an Amazon Web Services account on the new Cloud providers page under Integrations. Support for other cloud providers will be coming soon.

See Cloud providers.

You can now restrict which models are available through the JetBrains AI provider: disable Allow all models, then remove or add models. This feature is currently in preview.

See Manage available models.

The AI access page in JetBrains Console now sums up the Credits used and Credit limit columns for all listed users or only for the ones you select.

See View AI credit usage and limits across users.

The AI credit consumption report in JetBrains Console is now split into Principals and Groups tabs, letting you break credit usage down per individual consumer or per group and open a details pane for a specific consumer or group.

See AI credit consumption.

The Analytics API v2 has a new POST /api/v2/groups/spend endpoint that returns AI credit consumption broken down by group.

See Get AI credit consumption by group.

MCP servers you configure in JetBrains Console are now added to Claude Agent, Codex, Gemini CLI, and Junie CLI when users run them through JetBrains Central CLI. Users can allow or deny each server on their machine.

AI policies in Air Governance now include the Credit limit setting, which defines how many AI credits each user and service account assigned to the policy can spend per month. You can give a whole team a limit that differs from the default without setting the same limit for each member.

On paid plans, the organization-wide default limit is now set in the default policy rather than on the AI settings page.

See Credit limit sources and Configuring policies.

AI policies in Air Governance now include the Third-party MCP connectors setting, which controls whether users can add MCP connectors in the web version of JetBrains Air and use their tools in cloud tasks and automations.

See JetBrains Air.

AI credits from licenses managed in License Vault are now added to your organization's shared AI credit pool using the same conversion rates as other licenses. To use AI features in an IDE, users may need to activate the IDE through License Vault and AI Assistant through JetBrains Central.

See License Vault.

You can now add Anthropic as an AI provider in JetBrains Console. To make its models available across your organization, set it as the AI provider in the default policy.

See Anthropic.

Air Governance now supports connecting GitLab Self-Managed instances, so you can integrate your self-hosted GitLab with your organization.

See GitLab Self-Managed.

JetBrains Console now provides a Migration information page where you can review how your licenses were converted to a shared pool of AI credits.

See View AI credits migration details.

Connection checks in JetBrains Console now show clearer error details.

See Test connection to a provider and Check model connectivity.

The Manage AI settings and View AI settings permissions in Air Governance now also cover MCP servers and are granted to more default roles.

See Permissions.

Session details now open when you click a table row, and the Agents and AI credits used fields now link directly to the corresponding settings pages.

See Session explorer.

JetBrains Console now has a centralized log of changes to users, roles, AI access, and AI credit limits in your organization, along with the information about who made them and whether they succeeded, failed, or were rejected.

See Audit.

When licenses convert to the shared AI credit pool, organizations with automatic license renewal get a matching credit auto-purchase.

See Automatically renewed licenses.

The JetBrains Central CLI documentation now has a lot more details about its operation and configuration.

Session explorer gives you a single view of all AI sessions across your organization, including who ran each session, which agents and models were used, how long the session ran, and how many tokens and AI credits it consumed.

See Session explorer.

A new License Vault page in JetBrains Console lists the License Vault servers that belong to your organization.

See https://www.jetbrains.com/help/organization-guide/license-vault.html.