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Documentation Index

Fetch the complete documentation index at: https://sambanova-systems.mintlify.dev/docs/llms.txt

Use this file to discover all available pages before exploring further.

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.

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Prerequisites

Before you begin, ensure you have:
  • A SambaCloud account and API key.
  • Python 3.9 or later.

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Setup

pip install agno

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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.")

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Parameters

ParameterTypeDefaultDescription
idstr"Meta-Llama-3.3-70B-Instruct"The id of the model to use.
namestr"Sambanova"The name of this chat model instance.
providerstr"Sambanova"The provider of the model.
api_keyOptional[str]NoneThe API key for authenticating with Sambanova (defaults to environment variable SAMBANOVA_API_KEY).
base_urlstr"https://api.sambanova.ai/v1"The base URL for API requests.

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Additional resources