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

# Fal

> Use Fal with Agno agents.

Enable Agno agents to generate and manipulate images, videos, and audio at speed with Fal.

```python theme={null}

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.fal import FalTools

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

fal_agent = Agent(
    name="Fal Video Generator Agent",
    model=OpenAIChat(id="gpt-4o"),
    tools=[
        FalTools(
            model="fal-ai/hunyuan-video",
            enable_generate_media=True,
        )
    ],
    description="You are an AI agent that can generate videos using the Fal API.",
    instructions=[
        "When the user asks you to create a video, use the `generate_media` tool to create the video.",
        "Return the URL as raw to the user.",
        "Don't convert video URL to markdown or anything else.",
    ],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    fal_agent.print_response("Generate video of balloon in the ocean")
```

## Run the Example

```bash theme={null}
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/91_tools

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python fal_tools.py
```

For details, see [Fal cookbook](https://github.com/agno-agi/agno/blob/main/cookbook/91_tools/fal_tools.py).