> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemoclaw/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemoclaw/_mcp/server.

# Use Google Gemini

> Configure NemoClaw to use Google Gemini through its OpenAI-compatible endpoint.

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**.

```bash
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 through its OpenAI-compatible Chat Completions path only.
It skips the Responses API probe because Gemini does not support `/v1/responses`.

## Related Topics

* [Choose a Model](../learn-and-choose/choose-model) compares the curated Gemini models by task fit.
* [Understand Provider Validation](../validate-inference/understand-provider-validation) describes provider validation behavior.