72 lines
2.3 KiB
Markdown
72 lines
2.3 KiB
Markdown
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# Documentation
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- Class name: LLMJsonRepair
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- Category: SALT/Language Toolkit/Tools/JSON
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- Output node: False
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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。
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# Input types
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## Required
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- llm_model
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- 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。
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- Comfy dtype: LLM_MODEL
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- Python dtype: dict
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- text_input
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- 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。
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- Comfy dtype: STRING
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- Python dtype: str
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## Optional
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- extra_directions
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- 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。
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- Comfy dtype: STRING
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- Python dtype: str
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# Output types
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- json_output
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- 修复后的JSON字符串，已纠正语法和格式错误以确保有效性。
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- Comfy dtype: STRING
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- Python dtype: str
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## Usage tips
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- Infra type: `CPU`
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- Common nodes: unknown
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## Source code
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```python
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class LLMJsonRepair:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"llm_model": ("LLM_MODEL",),
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"text_input": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "Malformed JSON..."}),
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},
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"optional": {
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"extra_directions": ("STRING", {"multiline": True, "dynamicPrompts": False, "placeholder": "Extra directions for the LLM to follow..."}),
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}
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}
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("json_output",)
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FUNCTION = "compose_json"
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CATEGORY = f"{MENU_NAME}/{SUB_MENU_NAME}/Tools/JSON"
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def compose_json(self, llm_model, text_input, extra_directions=""):
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prompt = (
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f"{text_input}\n\n###\n\n"
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"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."
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f"{extra_directions}\n\n"
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"Please ensure the JSON output is properly formatted, and does not omit any data."
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)
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response = llm_model['llm'].complete(prompt)
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return (response.text,)
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```
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