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gcgj-dify-1.7.0/api/core/app
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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>
 		11 months ago
..
app_config feat: fetch app info in plugins (#18202) 11 months ago
apps refactor: Refactors repository imports structure (#18901) 11 months ago
entities issue: #17056 : Add a reason field to the message_replace event (#17195) 11 months ago
features feat: Skip Redis operations if RateLimit is disabled (#12226) 1 year ago
task_pipeline feat(api): Add image multimodal support for LLMNode (#17372) 11 months ago
__init__.py FEAT: NEW WORKFLOW ENGINE (#3160) 2 years ago