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: '\n" ) QUERY_KEYWORD_EXTRACT_TEMPLATE = QueryKeywordExtractPrompt( QUERY_KEYWORD_EXTRACT_TEMPLATE_TMPL )