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156 lines
4.7 KiB
Markdown
156 lines
4.7 KiB
Markdown
---
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sidebar_position: 3
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title: Using Goose for Free
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---
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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# Using Goose for Free
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Goose is a free and open source developer AI agent that you can start using right away, but not all supported [LLM Providers][providers] provide a free tier.
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Below, we outline a couple of free options and how to get started with them.
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## Google Gemini
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Google Gemini provides a free tier. To start using the Gemini API with Goose, you need an API Key from [Google AI studio](https://aistudio.google.com/app/apikey).
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To set up Google Gemini with Goose, follow these steps:
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<Tabs groupId="interface">
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<TabItem value="cli" label="Goose CLI" default>
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1. Run:
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```sh
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goose configure
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```
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2. Select `Configure Providers` from the menu.
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3. Follow the prompts to choose `Google Gemini` as the provider.
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4. Enter your API key when prompted.
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5. Enter the Gemini model of your choice.
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```
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┌ goose-configure
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│
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◇ What would you like to configure?
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│ Configure Providers
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│
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◇ Which model provider should we use?
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│ Google Gemini
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│
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◇ Provider Google Gemini requires GOOGLE_API_KEY, please enter a value
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│▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪
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│
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◇ Enter a model from that provider:
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│ gemini-2.0-flash-exp
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│
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◇ Hello! You're all set and ready to go, feel free to ask me anything!
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│
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└ Configuration saved successfully
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```
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</TabItem>
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<TabItem value="ui" label="Goose Desktop">
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**To update your LLM provider and API key:**
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1. Click on the three dots in the top-right corner.
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2. Select `Provider Settings` from the menu.
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2. Choose `Google Gemini` as provider from the list.
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3. Click Edit, enter your API key, and click `Set as Active`.
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</TabItem>
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</Tabs>
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## DeepSeek-R1
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:::warning
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Depending on the model's size, you'll need a relatively powerful device to smoothly run local LLMs.
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:::
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Ollama provides open source LLMs, such as `DeepSeek-r1`, that you can install and run locally.
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Note that the native `DeepSeek-r1` model doesn't support tool calling, however, we have a [custom model](https://ollama.com/michaelneale/deepseek-r1-goose) you can use with Goose.
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1. Download and install Ollama from [ollama.com](https://ollama.com/download).
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2. In a terminal window, run the following command to install the custom DeepSeek-r1 model:
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```sh
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ollama run michaelneale/deepseek-r1-goose
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```
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<Tabs groupId="interface">
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<TabItem value="cli" label="Goose CLI" default>
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3. In a separate terminal window, configure with Goose:
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```sh
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goose configure
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```
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4. Choose to `Configure Providers`
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```
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┌ goose-configure
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│
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◆ What would you like to configure?
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│ ● Configure Providers (Change provider or update credentials)
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│ ○ Toggle Extensions
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│ ○ Add Extension
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└
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```
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5. Choose `Ollama` as the model provider
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```
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┌ goose-configure
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│
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◇ What would you like to configure?
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│ Configure Providers
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│
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◆ Which model provider should we use?
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│ ○ Anthropic
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│ ○ Databricks
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│ ○ Google Gemini
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│ ○ Groq
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│ ● Ollama (Local open source models)
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│ ○ OpenAI
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│ ○ OpenRouter
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└
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```
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6. Enter the installed deepseek-r1 model from above
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```
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┌ goose-configure
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│
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◇ What would you like to configure?
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│ Configure Providers
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│
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◇ Which model provider should we use?
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│ Ollama
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│
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◇ Enter a model from that provider:
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│ michaelneale/deepseek-r1-goose
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│
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◇ Welcome! You're all set to explore and utilize my capabilities. Let's get started on solving your problems together!
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│
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└ Configuration saved successfully
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```
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</TabItem>
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<TabItem value="ui" label="Goose Desktop">
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3. Click `...` in the top-right corner.
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4. Navigate to `Settings` -> `Browse Models` -> and select `Ollama` from the list.
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5. Enter `michaelneale/deepseek-r1-goose` for the model name.
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</TabItem>
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</Tabs>
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## Limitations
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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.
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---
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If you have any questions or need help with a specific provider, feel free to reach out to us on [Discord](https://discord.gg/block-opensource) or on the [Goose repo](https://github.com/block/goose).
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[providers]: /docs/getting-started/providers |