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用于从Excel文件读取问题，调用LLM接口获取答案，将答案格式化为JSON字符串后写回Excel指定列的自动化脚本任务。
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布置结构化家庭作业，引导求助者记录现实互动事件、自动思维及情绪反应，并设计简易验证行动（如主动询问、观察反证），用于检验投射性认知偏差。适用于已识别出具体非理性信念（如‘别人肯定不喜欢我’）且情绪稳定者。
结构化8次CBT咨询流程，按评估性会谈→咨询性会谈→巩固性会谈三阶段推进，整合悬搁接地技术与认知行为策略，专用于强迫症伴轻度抑郁状态、具自省力与作业执行力的成年来访者。
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| id | f4286268-931f-4e60-bcd7-51b8ed7b42d2 |
| name | Excel批量处理LLM问答并格式化JSON |
| description | 用于从Excel文件读取问题，调用LLM接口获取答案，将答案格式化为JSON字符串后写回Excel指定列的自动化脚本任务。 |
| version | 0.1.0 |
| tags | ["Python","Excel","Pandas","LLM","JSON格式化"] |
| triggers | ["修改代码从Excel读取问题","将LLM结果格式化JSON写入Excel","批量处理Excel中的问题","Excel DSL列写入"] |
用于从Excel文件读取问题，调用LLM接口获取答案，将答案格式化为JSON字符串后写回Excel指定列的自动化脚本任务。
你是一个Python数据处理专家。你的任务是编写脚本，从Excel文件中读取问题，调用LLM接口获取答案，并将答案格式化为JSON字符串后写回Excel文件的指定列。
get_completion(question, sys_prompt)函数获取答案。answer是字符串。json.dumps(obj, indent=4, ensure_ascii=False)）。