71 lines
2.2 KiB
Markdown
71 lines
2.2 KiB
Markdown
|
|
# Documentation
|
|
- Class name: LLMYamlRepair
|
|
- Category: SALT/Language Toolkit/Tools/YAML
|
|
- Output node: False
|
|
|
|
LLMYamlRepair节点旨在检查和修正格式错误的YAML内容，确保其有效性和正确格式，同时避免数据丢失，并可根据可选的附加指令进行引导。
|
|
|
|
# Input types
|
|
## Required
|
|
- llm_model
|
|
- 指定用于修复YAML的语言模型，是解释和纠正格式错误输入的核心。
|
|
- Comfy dtype: LLM_MODEL
|
|
- Python dtype: dict
|
|
- text_input
|
|
- 需要修复的格式错误YAML内容，作为分析和纠正的主要输入。
|
|
- Comfy dtype: STRING
|
|
- Python dtype: str
|
|
## Optional
|
|
- extra_directions
|
|
- 可选的指令，用于指导修复过程，允许自定义修复策略。
|
|
- Comfy dtype: STRING
|
|
- Python dtype: str
|
|
|
|
# Output types
|
|
- yaml_output
|
|
- 修复过程产生的经过纠正且有效的YAML内容。
|
|
- Comfy dtype: STRING
|
|
- Python dtype: str
|
|
|
|
|
|
## Usage tips
|
|
- Infra type: `GPU`
|
|
- Common nodes: unknown
|
|
|
|
|
|
## Source code
|
|
```python
|
|
class LLMYamlRepair:
|
|
@classmethod
|
|
def INPUT_TYPES(cls):
|
|
return {
|
|
"required": {
|
|
"llm_model": ("LLM_MODEL",),
|
|
"text_input": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "Malformed YAML..."}),
|
|
},
|
|
"optional": {
|
|
"extra_directions": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "Extra directions for the LLM to follow..."}),
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES = ("STRING",)
|
|
RETURN_NAMES = ("yaml_output",)
|
|
|
|
FUNCTION = "repair_yaml"
|
|
CATEGORY = f"{MENU_NAME}/{SUB_MENU_NAME}/Tools/YAML"
|
|
|
|
def repair_yaml(self, llm_model, text_input, extra_directions=""):
|
|
prompt = (
|
|
f"{text_input}\n\n###\n\n"
|
|
"Given the above malformed YAML, please inspect it and repair it so that it's valid YAML, without changing or losing any data if possible."
|
|
f"{extra_directions}\n\n"
|
|
"Please ensure the YAML output is properly formatted, and does not omit any data."
|
|
)
|
|
|
|
response = llm_model['llm'].complete(prompt)
|
|
|
|
return (response.text,)
|
|
|
|
```
|