2.3 KiB
2.3 KiB
Documentation
- Class name: LLMJsonRepair
- Category: SALT/Language Toolkit/Tools/JSON
- Output node: False
LLMJsonRepair节点旨在使用语言模型来修复格式错误的JSON字符串。它接收一个可能存在错误的JSON输入和可选的指示,然后输出修复后的JSON版本,确保数据完整性和正确的格式。
Input types
Required
- llm_model
- 指定用于修复JSON的语言模型。它对于解释输入和生成修正后的输出至关重要。
- Comfy dtype: LLM_MODEL
- Python dtype: dict
- text_input
- 需要修复的格式错误的JSON字符串。这个输入对于节点理解需要修复的内容至关重要。
- Comfy dtype: STRING
- Python dtype: str
Optional
- extra_directions
- 可选的额外指示,用于在修复过程中指导语言模型,允许进行更加定制化的修正。
- Comfy dtype: STRING
- Python dtype: str
Output types
- json_output
- 修复后的JSON字符串,已纠正语法和格式错误以确保有效性。
- Comfy dtype: STRING
- Python dtype: str
Usage tips
- Infra type:
CPU - Common nodes: unknown
Source code
class LLMJsonRepair:
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"llm_model": ("LLM_MODEL",),
"text_input": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "Malformed JSON..."}),
},
"optional": {
"extra_directions": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "Extra directions for the LLM to follow..."}),
}
}
RETURN_TYPES = ("STRING",)
RETURN_NAMES = ("json_output",)
FUNCTION = "compose_json"
CATEGORY = f"{MENU_NAME}/{SUB_MENU_NAME}/Tools/JSON"
def compose_json(self, llm_model, text_input, extra_directions=""):
prompt = (
f"{text_input}\n\n###\n\n"
"Given the above malformed JSON, please inspect it and repair it so that it's valid JSON, without changing or loosing any data if possible."
f"{extra_directions}\n\n"
"Please ensure the JSON output is properly formatted, and does not omit any data."
)
response = llm_model['llm'].complete(prompt)
return (response.text,)