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QuantumGhost 349c3cf7b8 feat(api): Add image multimodal support for LLMNode (#17372) Enhance `LLMNode` with multimodal capability, introducing support for image outputs. This implementation extracts base64-encoded images from LLM responses, saves them to the storage service, and records the file metadata in the `ToolFile` table. In conversations, these images are rendered as markdown-based inline images. Additionally, the images are included in the LLMNode's output as file variables, enabling subsequent nodes in the workflow to utilize them. To integrate file outputs into workflows, adjustments to the frontend code are necessary. For multimodal output functionality, updates to related model configurations are required. Currently, this capability has been applied exclusively to Google's Gemini models. Close #15814. Signed-off-by: -LAN- <laipz8200@outlook.com> Co-authored-by: -LAN- <laipz8200@outlook.com>		6 meses atrás
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__init__.py	Introduce Plugins (#13836)	8 meses atrás
error.py	refactor: remove the duplicate definitions across different modules (#9022)	1 ano atrás
image_preview.py	add Accept-Ranges header for audio/video files (#19119)	6 meses atrás
tool_files.py	feat(api): Add image multimodal support for LLMNode (#17372)	6 meses atrás
upload.py	feat(api): Add image multimodal support for LLMNode (#17372)	6 meses atrás