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Google

WednesdayAI supports Google’s Gemini family. Authenticate with an AI Studio API key (easiest) or Vertex AI (for GCP-native deployments).

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AI Studio API key

Create a key at aistudio.google.com and onboard: 
openclaw onboard --auth-choice gemini-api-key
Or set the key on the gateway host: 
echo 'GEMINI_API_KEY=AIza...' >> ~/.openclaw/.env
Rotation variables (GEMINI_API_KEYS, GEMINI_API_KEY_1, GEMINI_API_KEY_2) are honoured, and the bare GOOGLE_API_KEY is included as a fallback.

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Vertex AI

For production GCP deployments, use Application Default Credentials (gcloud ADC) via the google-vertex provider: 
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json
export GOOGLE_CLOUD_PROJECT=my-project-id
The service account needs the Vertex AI User (roles/aiplatform.user) role.

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Selecting a model

{
  agents: {
    defaults: {
      model: { primary: "google/gemini-3-pro-preview" },
    },
  },
}
Use the google/ prefix for AI Studio and google-vertex/ for Vertex. Run openclaw models list --all for the catalog and openclaw models status for what your auth can reach.
WednesdayAI also bundles google-antigravity and google-gemini-cli OAuth providers as disabled plugins. These are unofficial integrations — some users have reported Google account restrictions after using third-party clients. Review Google’s terms and use a non-critical account if you enable them.

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Troubleshooting

Ensure the key was created in AI Studio and that the Generative Language API is enabled for the project.
The service account is missing the Vertex AI User role. Add it in IAM and Admin.
Not all Gemini models are available in all regions. On Vertex, try a different region or check the Vertex AI model availability table.