> ## Documentation Index
> Fetch the complete documentation index at: https://sambanova-systems.mintlify.site/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Agno integration guide

Agno is a lightweight framework designed for building multi-modal AI agents. To get started, export your [SambaNova API key](http://cloud.sambanova.ai?utm_source=agno\&utm_medium=external\&utm_campaign=cloud_signup) and run the example code below.

## Prerequisites

Before you begin, ensure you have:

* A [SambaCloud](https://cloud.sambanova.ai/apis) account and API key.
* Python 3.9 or later.

## Setup

```bash theme={null}
pip install agno
```

## Example

Use `Sambanova` with your `Agent`:

```
from agno.agent import Agent, RunResponse
from agno.models.sambanova import Sambanova

agent = Agent(model=Sambanova(), markdown=True)

# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story.")
```

## Parameters

| Parameter  | Type            | Default                         | Description                                                                                           |
| :--------- | :-------------- | :------------------------------ | :---------------------------------------------------------------------------------------------------- |
| `id`       | `str`           | `"Meta-Llama-3.3-70B-Instruct"` | The id of the model to use.                                                                           |
| `name`     | `str`           | `"Sambanova"`                   | The name of this chat model instance.                                                                 |
| `provider` | `str`           | `"Sambanova"`                   | The provider of the model.                                                                            |
| `api_key`  | `Optional[str]` | `None`                          | The API key for authenticating with Sambanova (defaults to environment variable SAMBANOVA\_API\_KEY). |
| `base_url` | `str`           | `"https://api.sambanova.ai/v1"` | The base URL for API requests.                                                                        |

## Additional resources

* [Agno repository](https://github.com/agno-agi/agno).