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

# Best Practices

> Learn how to optimize your GoEnhanceAI API integration with efficient polling, error handling, security best practices, and resource management for video generation.

## Best Practices for Video to Video Generation

1. **Efficient API Usage:**
   * When calling the video to video API, store the returned `img_uuid` for subsequent requests.
   * Implement a polling mechanism to check the status of your video generation.

2. **Optimal Polling Strategy:**
   * Set your polling interval to 5 seconds between each request to the details API.
   * This balance helps to get timely updates without overwhelming the server.

3. **Handle Long-Running Processes:**
   * Be prepared for potentially long processing times, especially for complex video transformations.
   * Implement appropriate timeout handling and user feedback in your application.

4. **Secure Storage of Results:**
   * When you receive the final video URL (valid for 24 hours), download the video promptly.
   * Store the downloaded video on your own secure server for long-term access and to avoid link expiration issues.

5. **Error Handling:**
   * Implement robust error handling for all API calls.
   * Have fallback strategies for cases where video generation fails or takes longer than expected.

6. **Resource Management:**
   * Keep track of your API usage to stay within your plan limits.
   * Implement rate limiting on your end to prevent accidental overuse of the API.

7. **User Experience:**
   * Provide clear feedback to your users about the status of their video generation process.
   * Consider implementing a notification system for when videos are ready.

8. **Caching Strategy:**
   * Cache frequently used or popular video transformations to reduce API calls and improve response times.

9. **Security:**
   * Never expose your API key in client-side code.
   * Use server-side requests to interact with the GoEnhanceAI API.

```mermaid theme={null}
sequenceDiagram
    participant C as Client
    participant S as Your Server
    participant API as GoEnhanceAI API

    C->>S: Request video transformation
    S->>API: POST /api/v1/video2video/generate
    API-->>S: Return job_id
    S-->>C: Acknowledge request

    loop Every 5 seconds
        S->>API: GET /api/v1/jobs/detail (with job_id)
        API-->>S: Return status
        alt Status is "completed"
            S->>API: Get video URL from job details
            API-->>S: Return video URL (24h validity)
            S->>S: Download and store video
            S-->>C: Notify video is ready
        else Status is "failed"
            S-->>C: Notify of failure
        else Status is "processing"
            Note over S: Continue polling
        end
    end

    C->>S: Request processed video
    S-->>C: Serve video from local storage
```

1. The client requests a video transformation from your server.
2. Your server makes a POST request to the GoEnhanceAI API to initiate the video generation.
3. The API returns an `img_uuid`, which your server uses for subsequent requests.
4. Your server acknowledges the client's request.
5. Your server then enters a polling loop, checking the status every 5 seconds:
   * If the status is "completed", it retrieves the video URL, downloads and stores the video, then notifies the client.
   * If the status is "failed", it notifies the client of the failure.
6. Finally, when the client requests the processed video, your server serves it from local storage.