Groq

Groq provides fast inference endpoints for large language models. See all Groq-supported models here.

We recommend using llama-3.3-70b-versatile for general use.
We recommend using llama-3.1-8b-instant for faster results.
We recommend using meta-llama/llama-4-scout-17b-16e-instruct for image understanding.

Multimodal Support

With Groq we support Image as input.

Authentication

Set your GROQ_API_KEY environment variable. Get your key from here.

export GROQ_API_KEY=***

setx GROQ_API_KEY ***

Example

Install the groq package:

uv pip install -U agno groq

Use Groq with your Agent:

from agno.agent import Agent
from agno.models.groq import Groq

agent = Agent(
    model=Groq(id="llama-3.3-70b-versatile"),
    markdown=True
)

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

View more examples here.

Parameters

Parameter	Type	Default	Description
`id`	`str`	`"llama-3.3-70b-versatile"`	The id of the Groq model to use
`name`	`str`	`"Groq"`	The name of the model
`provider`	`str`	`"Groq"`	The provider of the model
`api_key`	`Optional[str]`	`None`	The API key for Groq (defaults to GROQ_API_KEY env var)
`base_url`	`Optional[Union[str, httpx.URL]]`	`None`	The base URL for the Groq API (uses the Groq SDK default when unset)
`timeout`	`Optional[int]`	`None`	Request timeout in seconds

Groq uses the groq Python SDK. It is a subclass of the Model class and has access to the same params. See the Groq reference for all parameters.

Get Started

Basics

Advanced

Production

Providers

Other

Additional Resources

Multimodal Support

Authentication

Example

Parameters

​Multimodal Support

​Authentication

​Example

​Parameters

Multimodal Support

Authentication

Example

Parameters