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

# Video

> Process and generate video content

Video capabilities for agents to understand and generate video.

```mermaid theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
graph LR
    subgraph "Video"
        V[🎬 Video] --> A[🤖 Agent]
        A --> O[📤 Output]
    end
    
    classDef video fill:#6366F1,stroke:#7C90A0,color:#fff
    classDef agent fill:#F59E0B,stroke:#7C90A0,color:#fff
    classDef output fill:#10B981,stroke:#7C90A0,color:#fff
    
    class V video
    class A agent
    class O output
```

## Quick Start

<Steps>
  <Step title="Analyze Video">
    ```rust theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
    use praisonai::{Agent, tool};

    #[tool]
    async fn analyze_video(path: String) -> String {
        // Video analysis
        video::analyze(&path).await
    }

    let agent = Agent::new()
        .name("Video Analyst")
        .tool(analyze_video)
        .build()?;

    agent.chat("Describe this video: demo.mp4").await?;
    ```
  </Step>
</Steps>

***

## Related

<CardGroup cols={2}>
  <Card title="Vision" icon="eye" href="/docs/rust/vision">
    Image understanding
  </Card>

  <Card title="Audio" icon="microphone" href="/docs/rust/audio">
    Audio processing
  </Card>
</CardGroup>