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gcgj-dify-1.7.0/api/core/model_runtime/entities
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 Chore: PromptMessage is not an abstract base class (#15965) 11 months ago
common_entities.py chore(api/core): apply ruff reformatting (#7624) 1 year ago
defaults.py fix: autocorrect everything in api (#17859) 10 months ago
llm_entities.py feat: re-add prompt messages to result and chunks in llm (#17883) 10 months ago
message_entities.py feat(api): Add image multimodal support for LLMNode (#17372) 9 months ago
model_entities.py feat: structured output (#17877) 10 months ago
provider_entities.py fix: #18744 The model order defined in position.yaml in the Model Plugin is not taking effect. (#18756) 10 months ago
rerank_entities.py chore(api/core): apply ruff reformatting (#7624) 1 year ago
text_embedding_entities.py chore(api/core): apply ruff reformatting (#7624) 1 year ago