adding an action

metagpt/actions/detail_mining.py

@@ -5,31 +5,30 @@
 @Author  : fisherdeng
 @File    : detail_mining.py
 """
-
 from metagpt.actions import Action, ActionOutput
 from metagpt.logs import logger
 
 PROMPT_TEMPLATE = """
-##讨论目标
+##TOPIC
 {topic}
 
-##讨论记录
+##RECORD
 {record}
 
 ##Format example
 {format_example}
 -----
 
-任务: 参考 ##讨论目标 和 ##讨论记录 进一步询问你感兴趣的细节，字数不多于150字
-特别注意1：你只是单纯地询问，不要赞同或否定任何人的任何观点
-特别注意2:本次输出,仅包含 ##OUTPUT 这一主题，不要增加、减少或改变主题。输出时，以'##OUTPUT'开头，然后马上换行，再正式输出内容，仔细参考"##Format example"中的格式。
+Task: Refer to the "##TOPIC" (discussion objectives) and "##RECORD" (discussion records) to further inquire about the details that interest you, within a word limit of 150 words.
+Special Note 1: Your intention is solely to ask questions without endorsing or negating any individual's viewpoints.
+Special Note 2: This output should only include the topic "##OUTPUT". Do not add, remove, or modify the topic. Begin the output with '##OUTPUT', followed by an immediate line break, and then proceed to provide the content in the specified format as outlined in the "##Format example" section.
 """
 FORMAT_EXAMPLE = """
 
 ##
 
 ##OUTPUT
-...(请在这里输出你想询问的细节)
+...(Please provide the specific details you would like to inquire about here.)
 
 ##
 
@@ -41,11 +40,12 @@ OUTPUT_MAPPING = {
 
 
 class DetailMining(Action):
+    """This class allows LLM to further mine noteworthy details based on specific "##TOPIC"(discussion topic) and "##RECORD" (discussion records), thereby deepening the discussion.
+    """
     def __init__(self, name="", context=None, llm=None):
         super().__init__(name, context, llm)
 
     async def run(self, topic, record) -> ActionOutput:
-
-        prompt = PROMPT_TEMPLATE.format(topic,record,format_example=FORMAT_EXAMPLE)
+        prompt = PROMPT_TEMPLATE.format(topic, record, format_example=FORMAT_EXAMPLE)
         rsp = await self._aask_v1(prompt, "detail_mining", OUTPUT_MAPPING)
         return rsp