Providers & API keys

Activate JetBrains AI

If you are using AI Assistant with models from third-party AI providers and want to additionally activate JetBrains AI to ensure full functionality, or if you previously logged out of JetBrains AI and need to log back in, click the Activate JetBrains AI button.

Log out

If you want to use a different activation option, you can log out from your JetBrains AI subscription by clicking Log out.

Sign in with ChatGPT account

If you want to authenticate with your ChatGPT account to use the Codex agent, click the Sign in with ChatGPT account button. This allows you to use the agent, but other AI Assistant features remain unavailable.

Log out

If you want to log out of your ChatGPT account, click Log out.

Revoke

If you previously activated an agent using one of the supported authentication methods, click Revoke to remove the authorization.

Provider

Select the third-party AI provider (Anthropic, Gemini, Google Vertex AI, OpenAI, OpenAI-compatible, LM Studio, or Ollama) whose custom models you want to use.

API Key

Specify the API key to access the models provided by the selected third-party AI provider.

ADC

Uses Application Default Credentials (ADC) to authenticate requests to Google Vertex AI with credentials configured in your environment, for example, from your local Google Cloud setup or a service account.

Available only for Google Vertex AI. This method also requires you to specify Project ID and Location.

URL

Specify the URL of the provider’s API endpoint. This can point to a local server (for example, http://localhost:port) or a remote endpoint. To check if the connection is established, click Test Connection.

Tool calling

Specify whether the model supports calling tools configured through the Model Context Protocol (MCP). Available only for OpenAI-compatible providers.

Core features

Select the custom model that must be used for in-editor code generation, commit message generation, as a default model in chat, and other core features.

Instant helpers

Select the custom model that must be used for lightweight features, such as chat context collection, chat title generation, and name suggestions.

Completion model

Select the custom model that must be used for inline code completion. Works only with Fill-in-the-Middle (FIM) models.

Context window

Specify the size of the model context window for local models. This setting determines how much context the model can process at once. A larger window allows more context, while a smaller one reduces memory usage and may improve performance.

By default, the context window is set to 64 000 tokens.

For additional information, refer to Assign models to AI Assistant features.