DeepInfra Basic

Run DeepSeek V3 on DeepInfra with synchronous, asynchronous, and streaming responses.

Run DeepSeek V3 through DeepInfra with synchronous, asynchronous, and streaming agent responses.

DeepInfra marks the pinned meta-llama/Llama-2-70b-chat-hf model as deprecated, and its model page is unavailable. Replace it with the current deepseek-ai/DeepSeek-V3 model before running.

basic.py

"""
Deepinfra Basic
===============

Cookbook example for `deepinfra/basic.py`.
"""

from agno.agent import Agent, RunOutput  # noqa
from agno.models.deepinfra import DeepInfra  # noqa
import asyncio

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

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

# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)

# Print the response in the terminal

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("Share a 2 sentence horror story")

    # --- Sync + Streaming ---
    agent.print_response("Share a 2 sentence horror story", stream=True)

    # --- Async ---
    asyncio.run(agent.aprint_response("Share a 2 sentence horror story"))

    # --- Async + Streaming ---
    asyncio.run(agent.aprint_response("Share a 2 sentence horror story", stream=True))

Run the Example

1. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
2. Install dependencies

   uv pip install -U agno openai
   
3. Export your DeepInfra API key

   Mac/Linux

   export DEEPINFRA_API_KEY="your_deepinfra_api_key_here"
   

   $Env:DEEPINFRA_API_KEY="your_deepinfra_api_key_here"
   
4. Use a current DeepInfra model

   Replace meta-llama/Llama-2-70b-chat-hf with deepseek-ai/DeepSeek-V3 in the saved file.

5. Run the example

   Save the code above as basic.py, then run:

   python basic.py
   

Full source: cookbook/90_models/deepinfra/basic.py