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

# Agno

Agno is a lightweight framework designed for building multi-modal AI agents. To get started, export your SambaNova API key and run the example code below.

## 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-3.1-8B-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.                                                                        |