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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 månader sedan
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__init__.py	chore(lint): sort __all__ definitions (#11243)	11 månader sedan
constants.py	feat/enhance the multi-modal support (#8818)	1 år sedan
enums.py	fix: workflow file add related-id in iteration node (#16255)	7 månader sedan
file_manager.py	feat(api): Add image multimodal support for LLMNode (#17372)	6 månader sedan
helpers.py	Introduce Plugins (#13836)	8 månader sedan
models.py	feat(api): Add image multimodal support for LLMNode (#17372)	6 månader sedan
tool_file_parser.py	feat(api): Add image multimodal support for LLMNode (#17372)	6 månader sedan
upload_file_parser.py	chore: docstring not match the function parameter (#17162)	7 månader sedan