Use Google Gemini

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The Google Gemini provider routes NemoClaw to Google’s OpenAI-compatible Chat Completions endpoint. The sandbox continues to use the managed inference.local route.

Credential

Set GEMINI_API_KEY in the host shell before onboarding. NemoClaw keeps the credential on the host and uses provider-aware validation during retries.

Model Choices

The onboarding wizard offers these curated model IDs.

  • gemini-3.1-pro-preview.
  • gemini-3.1-flash-lite-preview.
  • gemini-3-flash-preview.
  • gemini-2.5-pro.
  • gemini-2.5-flash.
  • gemini-2.5-flash-lite.

Onboard

Run the onboarding wizard and select Google Gemini.

$nemo-deepagents onboard

Select a model when the wizard prompts you. NemoClaw validates the selected provider and model before creating the sandbox.

Validation

NemoClaw validates Gemini inference through its OpenAI-compatible Chat Completions path. When you enter a custom Gemini model ID, NemoClaw checks Google’s native model catalog and accepts IDs with or without the models/ prefix. It skips the Responses API probe because Gemini does not support /v1/responses.