goose/documentation/docs/getting-started/using-goose-free.md

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3	Using Goose for Free

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Using Goose for Free

:::info Supported Environments Goose currently works only on macOS and Linux systems, and supports both ARM and x86 architectures. If you'd like to request support for additional operating systems, please open an issue on GitHub. :::

Goose is a free and open source developer AI agent that you can start using right away, but not all supported LLM Providers provide a free tier.

Below, we outline a couple of free options and how to get started with them.

Google Gemini

Google Gemini provides free access to its AI capabilities with some limitations. To start using the Gemini API with Goose, you need an API Key from Google AI studio.

To set up Google Gemini with Goose, follow these steps:

1. Run: ```sh goose configure ``` 2. Select `Configure Providers` from the menu. 3. Follow the prompts to choose `Google Gemini` as the provider and enter your API key.

```
┌   goose-configure
│
◇ What would you like to configure?
│ Configure Providers
│
◇ Which model provider should we use?
│ Google Gemini
│
◇ Provider Google Gemini requires GOOGLE_API_KEY, please enter a value
│▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪
│    
◇ Enter a model from that provider:
│ gemini-2.0-flash-exp
│
◇ Hello! You're all set and ready to go, feel free to ask me anything!
│
└ Configuration saved successfully
```

**To update your LLM provider and API key:**

1. Click on the three dots in the top-right corner.
2. Select `Provider Settings` from the menu.
2. Choose `Google Gemini` as provider from the list.
3. Click Edit, enter your API key, and click `Set as Active`.

Limitations

These free options are a great way to get started with Goose and explore its capabilities. However, if you need more advanced features or higher usage limits, you can upgrade to a paid plan with your LLM provider.

---

If you have any questions or need help with a specific provider, feel free to reach out to us on Discord or on the Goose repo.