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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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