Wiro - Videollama3 2B
AI-generatedOverview
This node integrates with the Wiro API to process video understanding tasks using the VideoLLaMA3-2B model. It accepts a video URL and an optional prompt, sends these inputs to the API, and polls for the task completion status. The node is useful for scenarios where automated video content analysis or understanding is required, such as generating video summaries, extracting insights, or enhancing video metadata.
Use Case Examples
- A user provides a video URL and a prompt to analyze the content and generate a textual summary or description.
- A user sets a maximum token limit to control the length of the generated output from the video analysis.
Properties
| Name | Meaning |
|---|---|
| Input Video URL | The URL of the video to be analyzed by the VideoLLaMA3-2B model. |
| Prompt | An optional text prompt to guide the video understanding or analysis process. |
| Max New Tokens | The maximum number of tokens to generate in the output, controlling the length of the generated text. |
Output
JSON
taskid- The unique identifier of the video processing task assigned by the Wiro API.url- The URL of the processed video or result, if available after task completion.status- The status of the video processing task, indicating whether it failed or completed successfully.
Dependencies
- Wiro API credentials including an API key and secret are required for authentication.
Troubleshooting
- If the node throws an error indicating missing or invalid task ID or socket access token, verify that the Wiro API credentials are correct and that the API endpoint is reachable.
- If the task status returns as failed (-1, -2, -3, -4), check the input video URL and prompt for correctness and ensure the API service is operational.