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                        - from llama_index import QueryKeywordExtractPrompt
 - 
 - CONVERSATION_TITLE_PROMPT = (
 -     "Human:{query}\n-----\n"
 -     "Help me summarize the intent of what the human said and provide a title, the title should not exceed 20 words.\n"
 -     "If the human said is conducted in Chinese, you should return a Chinese title.\n" 
 -     "If the human said is conducted in English, you should return an English title.\n"
 -     "title:"
 - )
 - 
 - CONVERSATION_SUMMARY_PROMPT = (
 -     "Please generate a short summary of the following conversation.\n"
 -     "If the conversation communicating in Chinese, you should return a Chinese summary.\n"
 -     "If the conversation communicating in English, you should return an English summary.\n"
 -     "[Conversation Start]\n"
 -     "{context}\n"
 -     "[Conversation End]\n\n"
 -     "summary:"
 - )
 - 
 - INTRODUCTION_GENERATE_PROMPT = (
 -     "I am designing a product for users to interact with an AI through dialogue. "
 -     "The Prompt given to the AI before the conversation is:\n\n"
 -     "```\n{prompt}\n```\n\n"
 -     "Please generate a brief introduction of no more than 50 words that greets the user, based on this Prompt. "
 -     "Do not reveal the developer's motivation or deep logic behind the Prompt, "
 -     "but focus on building a relationship with the user:\n"
 - )
 - 
 - MORE_LIKE_THIS_GENERATE_PROMPT = (
 -     "-----\n"
 -     "{original_completion}\n"
 -     "-----\n\n"
 -     "Please use the above content as a sample for generating the result, "
 -     "and include key information points related to the original sample in the result. "
 -     "Try to rephrase this information in different ways and predict according to the rules below.\n\n"
 -     "-----\n"
 -     "{prompt}\n"
 - )
 - 
 - SUGGESTED_QUESTIONS_AFTER_ANSWER_INSTRUCTION_PROMPT = (
 -     "Please help me predict the three most likely questions that human would ask, "
 -     "and keeping each question under 20 characters.\n"
 -     "The output must be in JSON format following the specified schema:\n"
 -     "[\"question1\",\"question2\",\"question3\"]\n"
 - )
 - 
 - QUERY_KEYWORD_EXTRACT_TEMPLATE_TMPL = (
 -     "A question is provided below. Given the question, extract up to {max_keywords} "
 -     "keywords from the text. Focus on extracting the keywords that we can use "
 -     "to best lookup answers to the question. Avoid stopwords."
 -     "I am not sure which language the following question is in. "
 -     "If the user asked the question in Chinese, please return the keywords in Chinese. "
 -     "If the user asked the question in English, please return the keywords in English.\n"
 -     "---------------------\n"
 -     "{question}\n"
 -     "---------------------\n"
 -     "Provide keywords in the following comma-separated format: 'KEYWORDS: <keywords>'\n"
 - )
 - 
 - QUERY_KEYWORD_EXTRACT_TEMPLATE = QueryKeywordExtractPrompt(
 -     QUERY_KEYWORD_EXTRACT_TEMPLATE_TMPL
 - )
 
 
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