DeepInfra

Use DeepInfra models with Agno agents.

Leverage DeepInfra’s powerful command models and more.

DeepInfra supports a wide range of models. See their library of models here.

We recommend experimenting to find the best-suited model for your use-case. Here are some general recommendations:

• deepseek-ai/DeepSeek-R1-Distill-Llama-70B model is good for reasoning.
• meta-llama/Llama-2-70b-chat-hf model is good for basic use-cases.
• meta-llama/Llama-3.3-70B-Instruct model is good for multi-step tasks.

DeepInfra has rate limits. See the docs for more information.

Authentication

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

Mac

export DEEPINFRA_API_KEY=***

setx DEEPINFRA_API_KEY ***

Example

Use DeepInfra with your Agent:

agent.py

from agno.agent import Agent
from agno.models.deepinfra import DeepInfra

agent = Agent(
    model=DeepInfra(id="meta-llama/Llama-2-70b-chat-hf"),
    markdown=True
)

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

View more examples here.

Params

Parameter	Type	Default	Description
id	str	"meta-llama/Llama-2-70b-chat-hf"	The id of the DeepInfra model to use
name	str	"DeepInfra"	The name of the model
provider	str	"DeepInfra"	The provider of the model
api_key	Optional[str]	None	The API key for DeepInfra (defaults to DEEPINFRA_API_KEY env var)
base_url	str	"https://api.deepinfra.com/v1/openai"	The base URL for the DeepInfra API

DeepInfra also supports the parameters of OpenAI.