Added support for Google models specific arguments when processing video, those arguments are:

• media_resolution, which is model setting, settings this to LOW instead of default HIGH results in ~3x lower amount of input tokens consumed for video input.
• fps, which is video specific settings, set by setting vendor_metadata in FileUrl/BinaryContent, controls frame sampling. Default is 1.0 for Google models, setting this to lower value decrease amount of input video tokens, setting it to higher value increase analysis quality in highly dynamic videos.
• start_offset, which is video specific settings, set by setting vendor_metadata in FileUrl/BinaryContent, controls start offset of video. Useful for capping token consumption per video. According to docs it needs to contain s at the end, ex. 300s
• end_offset, which is video specific settings, set by setting vendor_metadata in FileUrl/BinaryContent, controls end offset of video. Useful for capping token consumption per video.

Official Google docs for those new arguments:
https://ai.google.dev/gemini-api/docs/video-understanding