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gcgj-dify-1.7.0/api/controllers/files
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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>
 		9 months ago
..
__init__.py Introduce Plugins (#13836) 12 months ago
error.py refactor: remove the duplicate definitions across different modules (#9022) 1 year ago
image_preview.py add Accept-Ranges header for audio/video files (#19119) 9 months ago
tool_files.py feat(api): Add image multimodal support for LLMNode (#17372) 9 months ago
upload.py feat(api): Add image multimodal support for LLMNode (#17372) 9 months ago