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fix: respect resolution settings for vision for parameter extractor node

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This commit is contained in:
kurokobo 2025-03-17 15:34:04 +00:00
parent 8963efe9ed
commit b54065e73f
1 changed files with 12 additions and 0 deletions
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12
api/core/workflow/nodes/parameter_extractor/parameter_extractor_node.py
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@ -7,6 +7,7 @@ from core.app.entities.app_invoke_entities import ModelConfigWithCredentialsEnti
from core.file import File
from core.memory.token_buffer_memory import TokenBufferMemory
from core.model_manager import ModelInstance
from core.model_runtime.entities import ImagePromptMessageContent
from core.model_runtime.entities.llm_entities import LLMResult, LLMUsage
from core.model_runtime.entities.message_entities import (
AssistantPromptMessage,
@ -129,6 +130,7 @@ class ParameterExtractorNode(LLMNode):
model_config=model_config,
memory=memory,
files=files,
vision_detail=node_data.vision.configs.detail,
)
else:
# use prompt engineering
@ -139,6 +141,7 @@ class ParameterExtractorNode(LLMNode):
model_config=model_config,
memory=memory,
files=files,
vision_detail=node_data.vision.configs.detail,
)
prompt_message_tools = []
@ -267,6 +270,7 @@ class ParameterExtractorNode(LLMNode):
model_config: ModelConfigWithCredentialsEntity,
memory: Optional[TokenBufferMemory],
files: Sequence[File],
vision_detail: Optional[ImagePromptMessageContent.DETAIL] = None,
) -> tuple[list[PromptMessage], list[PromptMessageTool]]:
"""
Generate function call prompt.
@ -289,6 +293,7 @@ class ParameterExtractorNode(LLMNode):
memory_config=node_data.memory,
memory=None,
model_config=model_config,
image_detail_config=vision_detail,
)
# find last user message
@ -347,6 +352,7 @@ class ParameterExtractorNode(LLMNode):
model_config: ModelConfigWithCredentialsEntity,
memory: Optional[TokenBufferMemory],
files: Sequence[File],
vision_detail: Optional[ImagePromptMessageContent.DETAIL] = None,
) -> list[PromptMessage]:
"""
Generate prompt engineering prompt.
@ -361,6 +367,7 @@ class ParameterExtractorNode(LLMNode):
model_config=model_config,
memory=memory,
files=files,
vision_detail=vision_detail,
)
elif model_mode == ModelMode.CHAT:
return self._generate_prompt_engineering_chat_prompt(
@ -370,6 +377,7 @@ class ParameterExtractorNode(LLMNode):
model_config=model_config,
memory=memory,
files=files,
vision_detail=vision_detail,
)
else:
raise InvalidModelModeError(f"Invalid model mode: {model_mode}")
@ -382,6 +390,7 @@ class ParameterExtractorNode(LLMNode):
model_config: ModelConfigWithCredentialsEntity,
memory: Optional[TokenBufferMemory],
files: Sequence[File],
vision_detail: Optional[ImagePromptMessageContent.DETAIL] = None,
) -> list[PromptMessage]:
"""
Generate completion prompt.
@ -402,6 +411,7 @@ class ParameterExtractorNode(LLMNode):
memory_config=node_data.memory,
memory=memory,
model_config=model_config,
image_detail_config=vision_detail,
)
return prompt_messages
@ -414,6 +424,7 @@ class ParameterExtractorNode(LLMNode):
model_config: ModelConfigWithCredentialsEntity,
memory: Optional[TokenBufferMemory],
files: Sequence[File],
vision_detail: Optional[ImagePromptMessageContent.DETAIL] = None,
) -> list[PromptMessage]:
"""
Generate chat prompt.
@ -441,6 +452,7 @@ class ParameterExtractorNode(LLMNode):
memory_config=node_data.memory,
memory=None,
model_config=model_config,
image_detail_config=vision_detail,
)
# find last user message