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| def generate_agent_role_prompt(agent): | |
| """ Generates the agent role prompt. | |
| Args: agent (str): The type of the agent. | |
| Returns: str: The agent role prompt. | |
| """ | |
| prompts = { | |
| "Finance Agent": "You are a seasoned finance analyst AI assistant. Your primary goal is to compose comprehensive, astute, impartial, and methodically arranged financial reports based on provided data and trends.", | |
| "Travel Agent": "You are a world-travelled AI tour guide assistant. Your main purpose is to draft engaging, insightful, unbiased, and well-structured travel reports on given locations, including history, attractions, and cultural insights.", | |
| "Academic Research Agent": "You are an AI academic research assistant. Your primary responsibility is to create thorough, academically rigorous, unbiased, and systematically organized reports on a given research topic, following the standards of scholarly work.", | |
| "Default Agent": "You are an AI critical thinker research assistant. Your sole purpose is to write well written, critically acclaimed, objective and structured reports on given text." | |
| } | |
| return prompts.get(agent, "No such agent") | |
| def generate_report_prompt(question, research_summary): | |
| """ Generates the report prompt for the given question and research summary. | |
| Args: question (str): The question to generate the report prompt for | |
| research_summary (str): The research summary to generate the report prompt for | |
| Returns: str: The report prompt for the given question and research summary | |
| """ | |
| return f'"""{research_summary}""" Using the above information, answer the following'\ | |
| f' question or topic: "{question}" in a detailed report --'\ | |
| " The report should focus on the answer to the question, should be well structured, informative," \ | |
| " in depth, with facts and numbers if available, a minimum of 1,200 words and with markdown syntax and apa format. "\ | |
| "Write all source urls at the end of the report in apa format" | |
| def generate_search_queries_prompt(question): | |
| """ Generates the search queries prompt for the given question. | |
| Args: question (str): The question to generate the search queries prompt for | |
| Returns: str: The search queries prompt for the given question | |
| """ | |
| return f'Write 4 google search queries to search online that form an objective opinion from the following: "{question}"'\ | |
| f'You must respond with a list of strings in the following format: ["query 1", "query 2", "query 3", "query 4"]' | |
| def generate_resource_report_prompt(question, research_summary): | |
| """Generates the resource report prompt for the given question and research summary. | |
| Args: | |
| question (str): The question to generate the resource report prompt for. | |
| research_summary (str): The research summary to generate the resource report prompt for. | |
| Returns: | |
| str: The resource report prompt for the given question and research summary. | |
| """ | |
| return f'"""{research_summary}""" Based on the above information, generate a bibliography recommendation report for the following' \ | |
| f' question or topic: "{question}". The report should provide a detailed analysis of each recommended resource,' \ | |
| ' explaining how each source can contribute to finding answers to the research question.' \ | |
| ' Focus on the relevance, reliability, and significance of each source.' \ | |
| ' Ensure that the report is well-structured, informative, in-depth, and follows Markdown syntax.' \ | |
| ' Include relevant facts, figures, and numbers whenever available.' \ | |
| ' The report should have a minimum length of 1,200 words.' | |
| def generate_outline_report_prompt(question, research_summary): | |
| """ Generates the outline report prompt for the given question and research summary. | |
| Args: question (str): The question to generate the outline report prompt for | |
| research_summary (str): The research summary to generate the outline report prompt for | |
| Returns: str: The outline report prompt for the given question and research summary | |
| """ | |
| return f'"""{research_summary}""" Using the above information, generate an outline for a research report in Markdown syntax'\ | |
| f' for the following question or topic: "{question}". The outline should provide a well-structured framework'\ | |
| ' for the research report, including the main sections, subsections, and key points to be covered.' \ | |
| ' The research report should be detailed, informative, in-depth, and a minimum of 1,200 words.' \ | |
| ' Use appropriate Markdown syntax to format the outline and ensure readability.' | |
| def generate_concepts_prompt(question, research_summary): | |
| """ Generates the concepts prompt for the given question. | |
| Args: question (str): The question to generate the concepts prompt for | |
| research_summary (str): The research summary to generate the concepts prompt for | |
| Returns: str: The concepts prompt for the given question | |
| """ | |
| return f'"""{research_summary}""" Using the above information, generate a list of 5 main concepts to learn for a research report'\ | |
| f' on the following question or topic: "{question}". The outline should provide a well-structured framework'\ | |
| 'You must respond with a list of strings in the following format: ["concepts 1", "concepts 2", "concepts 3", "concepts 4, concepts 5"]' | |
| def generate_lesson_prompt(concept): | |
| """ | |
| Generates the lesson prompt for the given question. | |
| Args: | |
| concept (str): The concept to generate the lesson prompt for. | |
| Returns: | |
| str: The lesson prompt for the given concept. | |
| """ | |
| prompt = f'generate a comprehensive lesson about {concept} in Markdown syntax. This should include the definition'\ | |
| f'of {concept}, its historical background and development, its applications or uses in different'\ | |
| f'fields, and notable events or facts related to {concept}.' | |
| return prompt | |
| def get_report_by_type(report_type): | |
| report_type_mapping = { | |
| 'research_report': generate_report_prompt, | |
| 'resource_report': generate_resource_report_prompt, | |
| 'outline_report': generate_outline_report_prompt | |
| } | |
| return report_type_mapping[report_type] |