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dify/api/core/file/tool_file_parser.py

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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>
2025-04-30 17:28:02 +08:00
from collections.abc import Callable
from typing import TYPE_CHECKING
feat/enhance the multi-modal support (#8818)
2024-10-21 10:43:49 +08:00
if TYPE_CHECKING:
from core.tools.tool_file_manager import ToolFileManager
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>
2025-04-30 17:28:02 +08:00
_tool_file_manager_factory: Callable[[], "ToolFileManager"] | None = None
chore(api/core): apply ruff reformatting (#7624)
2024-09-10 17:00:20 +08:00
Feat/assistant app (#2086) Co-authored-by: chenhe <guchenhe@gmail.com> Co-authored-by: Pascal M <11357019+perzeuss@users.noreply.github.com>
2024-01-23 19:58:23 +08:00
remove bare list, dict, Sequence, None, Any (#25058) Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: -LAN- <laipz8200@outlook.com>
2025-09-06 04:32:23 +09:00
def set_tool_file_manager_factory(factory: Callable[[], "ToolFileManager"]):
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>
2025-04-30 17:28:02 +08:00
global _tool_file_manager_factory
_tool_file_manager_factory = factory
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