openclaw - 💡(How to fix) Fix Feature request: Native video input tool for multimodal models (Kimi K2.6 video_url) [1 comments, 2 participants]

TL;DR

Implement a video tool that leverages the native video input of vision-capable models like kimi-k2.6 to analyze videos without frame extraction.

Guidance

• Investigate the kimi-k2.6 model's API to confirm its video input capabilities and requirements.
• Design the video tool to accept both local video file paths and URLs, ensuring compatibility with various use cases.
• Consider implementing chunked analysis for long videos to optimize performance and reduce token expenses.
• Test the new video tool with sample videos to ensure its effectiveness and identify potential issues.

Example

No code snippet is provided due to the lack of specific implementation details, but a potential starting point could involve modifying the existing image tool to handle video inputs and interact with the kimi-k2.6 model.

Notes

The proposed solution relies on the kimi-k2.6 model's native support for video inputs, which may have specific requirements or limitations. Additionally, the implementation of chunked analysis for long videos may require careful consideration of performance and accuracy trade-offs.

Recommendation

Apply a workaround by extending the existing image tool or creating a new video tool that utilizes the kimi-k2.6 model's native video input capabilities, as this approach has the potential to significantly improve performance and accuracy for video analysis tasks.