Build with Agno - SambaNova Integration Guide

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.

Prerequisites

Before you begin, ensure you have:

A SambaCloud account and API key.
Python 3.9 or later.

Setup

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.

Overview

Developer tools

Frameworks

Interfaces and low-code

Data and infrastructure

Multimodal

Evaluation and monitoring

Agno integration guide

Prerequisites

Setup

Example

Parameters

Additional resources

​Prerequisites

​Setup

​Example

​Parameters

​Additional resources

Prerequisites

Setup

Example

Parameters

Additional resources