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Docs/Models & providers

Models & providers

Google Antigravity

Antigravity offers API key access through its SDK and a separate OAuth path through its CLI.

1 min readUpdated: October 2026
Choose your provider. Captured in an isolated Metis test instance with fictional sample data (October 2026).
Choose your provider

Choose your provider. Captured in an isolated Metis test instance with fictional sample data (October 2026).

Step by step

  1. 01

    Open Settings → Models → Providers and select Google Antigravity.

  2. 02

    Choose an offered method. The API key path uses the intended Gemini access; OAuth follows the displayed CLI flow.

  3. 03

    Set a clear connection name if needed and save the connection.

  4. 04

    Test the connection, then choose a detected model in chat.

Google Antigravity

Requires compatible access and support in your installation.

  • Choose an authentication method and set up the connection.
  • Check connection status and detected models.
  • Review model options and reported limits in each chat.

Good to know

  • Offered access methods: API key, OAuth.
  • Models, context windows, and parameters depend on the active connection and detection.
  • Costs, subscriptions, and limits are determined by the provider.

Troubleshooting

If models are missing, check access, connection status, and the selected execution user. A locally authenticated CLI must be available to the user running the Metis task.

Troubleshooting guide

Related articles

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Documentation
Overview
Getting started
QuickstartChoose an installationWhat is Metis?Accounts and initial setupConnect your first providerYour first taskSign inInstall on LinuxInstall on macOSInstall on Windows
Chat & context
Navigation & chatsCompose messagesResponses & tool callsAnswer questionsApprove actionsSearch & quick actions
Workspace
Agent overviewCanvasPlansMemoryFilesTerminalBrowserDesktopsServer monitorArrange the workspaceExport workspaces
Projects & teams
Create a projectProject overviewChat visibilityProject picture, color, and iconProject instructionsProject memoryProject skillsProject filesProject notesAgent model defaultLet agents manage the teamMembers & invitationsAgent teamsTeam presetsTeam overview
Notes
Notes & scratchpad
Agent Hub
SkillsConnections / MCPsCustom modes & rulesGlobal agent rules
Settings
GeneralModels — ConnectionsAgent — Runtime & memoryDevices — Remote clientsAdmin / ChatsUpdatesSearch settingsAttachments and file sizeSubagent modelToken compressionPreview compressionSounds and notificationsNotification deliverySet up voice inputChoose a microphoneRecording and streamingDictionaryConfigure the browser previewManage website dataWebsite and source code
Models & providers
AgentDeep ResearchPlanAskGauntletCursorOpenAIAnthropicGoogle GeminixAI / GrokOpenRouterOllama / LocalOpenAI-compatibleOpenAI CodexClaude CodeGoogle AntigravityGrok BuildOpenCodeModel options
Account & sharing
ProfileNotificationsUsage & costsShare chatsPublic shares
Guides & operations
Charts, graphs & mediaAutomationsOperate your installationTroubleshootingSet up a complete projectWork on a connected PCResearch and produce a reportGlossary and scopes

Popular starting points

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