> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# 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.

> [!WARNING]
>
> 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.

```python basic.py theme={null}
"""
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

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai
```

**2. Export your DeepInfra API key**

```bash Mac/Linux theme={null}
export DEEPINFRA_API_KEY="your_deepinfra_api_key_here"
```

```bash Windows theme={null}
$Env:DEEPINFRA_API_KEY="your_deepinfra_api_key_here"
```

**3. Use a current DeepInfra model**

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

**4. Run the example**

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

```bash theme={null}
python basic.py
```

Full source: [cookbook/90\_models/deepinfra/basic.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/90_models/deepinfra/basic.py)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.