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Yes, Dify workflows can handle video content as a recognized file type and pass it to models or plugins that support video input. The workflow engine and file manager convert video files into prompt message content, either as a URL or base64, depending on configuration. However, Dify itself does not analyze or recognize video content—it forwards the video (usually as a URL) to the underlying model or plugin, and actual processing depends on that model's capabilities. For example, plugins like Qwen-VL-Plus and Tongyi support video input but require the video to be provided as a URL, not base64 data; trying to use base64 may result in errors or require special handling. Some plugins, such as the OpenAI API Compatible plugin, do not support video or multimodal input at all, so only a subset of providers/models can process video content directly. If your model or plugin doesn't support video, you can extract frames and run image analysis on those frames as a workaround. There are also ongoing plans to improve video support in some plugins, like ComfyUI, which may add video output features in the future. To reply, just mention @dosu. How did I do? Good | Irrelevant | Incorrect | Verbose | Hallucination | Report 🐛 | Other
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I am using qwen3-vl-plus, which supports video input.But the workflow reported an error |
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The "Invalid context structure" error happens because Dify expects the file input for video (and other multimodal types) to have a strict format: all required fields (like id, transfer_method, filename, extension, mime_type) must be present, and the file variable must be set as an Array[File] in your workflow. If id is None or the remote_url is a relative path (not a full URL), this error will occur. For external models like qwen3-vl-plus, FILES_URL must be set to a public URL so the model can access uploaded files—otherwise, the model can't fetch the video and the error appears. Recent Dify updates also enforce stricter validation, so incomplete file registration or missing fields will trigger this error. However, even though qwen3-vl-plus advertises video support, in practice Dify's integration currently only supports image and text input for this model—video files are ignored or rejected, and there is no explicit video error handling in the codebase. If you need to process video, the recommended workaround is to extract frames from your video and process them as images through qwen3-vl-plus. There are no documented workarounds or recent updates that add direct video support for this model in Dify at this time. If you want to experiment further, try a different Vision/Video-capable model or monitor for future updates that may add true video support for qwen3-vl-plus. Sources: To reply, just mention @dosu. How did I do? Good | Irrelevant | Incorrect | Verbose | Hallucination | Report 🐛 | Other
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Dify workflow can directly recognize/process video content
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