> ## 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.

# Llama Basic

> Run Llama 4 Maverick through Meta's Llama API with sync, async, and streaming calls.

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

Cookbook example for `meta/llama/basic.py`.
"""

from agno.agent import Agent, RunOutput  # noqa
from agno.models.meta import Llama
import asyncio

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

agent = Agent(
    model=Llama(id="Llama-4-Maverick-17B-128E-Instruct-FP8"),
    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 llama-api-client
```

**2. Export your Meta Llama API key**

```bash Mac/Linux theme={null}
export LLAMA_API_KEY="your_llama_api_key_here"
```

```bash Windows theme={null}
$Env:LLAMA_API_KEY="your_llama_api_key_here"
```

**3. Run the example**

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

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

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


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