# Gemini CLI

Gemini CLI is useful for large-context cloud analysis and agent-style workflows.

## Requirements

* `gemini` CLI installed.
* Authentication completed with `gemini auth login`.

## Setup

1. Install/verify the CLI from the official docs.
2. Authenticate:

```bash
gemini auth login
```

3. Verify locally:

```bash
gemini "hello"
```

4. Configure in **AI Backend** settings tab.

## Configuration

| Setting                | Value                                                         |
| ---------------------- | ------------------------------------------------------------- |
| **Preferred Backend**  | `Gemini CLI`                                                  |
| **Gemini CLI Command** | `gemini --output-format text --model gemini-2.5-flash --yolo` |

## Notes

`--yolo` is used by default to avoid interactive approval prompts that can block embedded MCP workflows.

## Notes

### Windows

npm-installed CLI shims are resolved automatically on Windows. The extension detects `.cmd` siblings and uses them instead of shell script shims that Java cannot execute directly.

## Troubleshooting

{% hint style="info" %}

* `command not found`: use full executable path if needed.
* Windows: npm shim paths are resolved automatically. If auto-resolution fails, use the full `.cmd` path: `C:\\Users\\<you>\\AppData\\Roaming\\npm\\gemini.cmd`.
* `ModelNotFoundError` / `RESOURCE_EXHAUSTED`: choose available model and update `--model`.
* Auth errors: re-run `gemini auth login`.
  {% endhint %}

## Related Pages

* [Backends Overview](/backends/overview.md)
* [Troubleshooting](/reference/troubleshooting.md)


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