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

# Video Generation Agent

> A WhatsApp agent that generates short videos from text descriptions using Fal AI's text-to-video models.

A WhatsApp agent that generates short videos from text descriptions using Fal AI's text-to-video models. Demonstrates outbound video support through the WhatsApp Cloud API.

```python video_generation.py theme={null}
"""
Video Generation Agent
=======================

A WhatsApp agent that generates short videos from text descriptions
using Fal AI's text-to-video models. Demonstrates outbound video
support through the WhatsApp Cloud API.

Requires:
  WHATSAPP_ACCESS_TOKEN, WHATSAPP_PHONE_NUMBER_ID
  FAL_KEY
  pip install fal-client
"""

from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.os.app import AgentOS
from agno.os.interfaces.whatsapp import Whatsapp
from agno.tools.fal import FalTools

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

agent_db = SqliteDb(db_file="tmp/video_agent.db")

video_agent = Agent(
    name="Video Generator",
    model=OpenAIChat(id="gpt-5-mini"),
    tools=[FalTools(model="fal-ai/hunyuan-video")],
    instructions=[
        "You are a video generation assistant on WhatsApp.",
        "When the user describes a scene, use the generate_media tool to create a short video.",
        "After generating, briefly describe what was created.",
        "Keep messages short and conversational.",
    ],
    db=agent_db,
    add_history_to_context=True,
    num_history_runs=3,
    send_media_to_model=False,
)

# ---------------------------------------------------------------------------
# AgentOS setup
# ---------------------------------------------------------------------------

agent_os = AgentOS(
    agents=[video_agent],
    interfaces=[Whatsapp(agent=video_agent)],
)
app = agent_os.get_app()

# ---------------------------------------------------------------------------
# Run
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    agent_os.serve(app="video_generation:app", reload=True)
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "agno[os,whatsapp]" fal-client fastmcp openai starlette
    ```
  </Step>

  <Step title="Export your API keys">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export FAL_API_KEY="your_fal_api_key_here"
      export JWT_VERIFICATION_KEY="your_jwt_verification_key_here"
      export OPENAI_API_KEY="your_openai_api_key_here"
      export WHATSAPP_ENCRYPTION_KEY="your_whatsapp_encryption_key_here"
      ```

      ```bash Windows theme={null}
      $Env:FAL_API_KEY="your_fal_api_key_here"
      $Env:JWT_VERIFICATION_KEY="your_jwt_verification_key_here"
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      $Env:WHATSAPP_ENCRYPTION_KEY="your_whatsapp_encryption_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `video_generation.py`, then run:

    ```bash theme={null}
    python video_generation.py
    ```
  </Step>
</Steps>

Full source: [cookbook/05\_agent\_os/interfaces/whatsapp/video\_generation.py](https://github.com/agno-agi/agno/blob/main/cookbook/05_agent_os/interfaces/whatsapp/video_generation.py)