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120 lines
6.2 KiB
120 lines
6.2 KiB
def generate_agent_role_prompt(agent):
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"""Generates the agent role prompt.
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Args: agent (str): The type of the agent.
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Returns: str: The agent role prompt.
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"""
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prompts = {
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"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.",
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"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.",
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"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.",
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"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.",
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}
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return prompts.get(agent, "No such agent")
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def generate_report_prompt(question, research_summary):
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"""Generates the report prompt for the given question and research summary.
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Args: question (str): The question to generate the report prompt for
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research_summary (str): The research summary to generate the report prompt for
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Returns: str: The report prompt for the given question and research summary
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"""
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return (
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f'"""{research_summary}""" Using the above information, answer the following'
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f' question or topic: "{question}" in a detailed report --'
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" The report should focus on the answer to the question, should be well structured, informative,"
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" in depth, with facts and numbers if available, a minimum of 1,200 words and with markdown syntax and apa format. "
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"Write all source urls at the end of the report in apa format"
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)
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def generate_search_queries_prompt(question):
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"""Generates the search queries prompt for the given question.
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Args: question (str): The question to generate the search queries prompt for
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Returns: str: The search queries prompt for the given question
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"""
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return (
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f'Write 4 google search queries to search online that form an objective opinion from the following: "{question}"'
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f'You must respond with a list of strings in the following format: ["query 1", "query 2", "query 3", "query 4"]'
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)
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def generate_resource_report_prompt(question, research_summary):
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"""Generates the resource report prompt for the given question and research summary.
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Args:
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question (str): The question to generate the resource report prompt for.
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research_summary (str): The research summary to generate the resource report prompt for.
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Returns:
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str: The resource report prompt for the given question and research summary.
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"""
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return (
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f'"""{research_summary}""" Based on the above information, generate a bibliography recommendation report for the following'
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f' question or topic: "{question}". The report should provide a detailed analysis of each recommended resource,'
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" explaining how each source can contribute to finding answers to the research question."
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" Focus on the relevance, reliability, and significance of each source."
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" Ensure that the report is well-structured, informative, in-depth, and follows Markdown syntax."
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" Include relevant facts, figures, and numbers whenever available."
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" The report should have a minimum length of 1,200 words."
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)
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def generate_outline_report_prompt(question, research_summary):
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"""Generates the outline report prompt for the given question and research summary.
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Args: question (str): The question to generate the outline report prompt for
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research_summary (str): The research summary to generate the outline report prompt for
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Returns: str: The outline report prompt for the given question and research summary
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"""
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return (
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f'"""{research_summary}""" Using the above information, generate an outline for a research report in Markdown syntax'
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f' for the following question or topic: "{question}". The outline should provide a well-structured framework'
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" for the research report, including the main sections, subsections, and key points to be covered."
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" The research report should be detailed, informative, in-depth, and a minimum of 1,200 words."
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" Use appropriate Markdown syntax to format the outline and ensure readability."
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)
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def generate_concepts_prompt(question, research_summary):
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"""Generates the concepts prompt for the given question.
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Args: question (str): The question to generate the concepts prompt for
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research_summary (str): The research summary to generate the concepts prompt for
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Returns: str: The concepts prompt for the given question
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"""
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return (
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f'"""{research_summary}""" Using the above information, generate a list of 5 main concepts to learn for a research report'
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f' on the following question or topic: "{question}". The outline should provide a well-structured framework'
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'You must respond with a list of strings in the following format: ["concepts 1", "concepts 2", "concepts 3", "concepts 4, concepts 5"]'
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)
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def generate_lesson_prompt(concept):
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"""
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Generates the lesson prompt for the given question.
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Args:
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concept (str): The concept to generate the lesson prompt for.
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Returns:
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str: The lesson prompt for the given concept.
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"""
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prompt = (
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f"generate a comprehensive lesson about {concept} in Markdown syntax. This should include the definition"
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f"of {concept}, its historical background and development, its applications or uses in different"
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f"fields, and notable events or facts related to {concept}."
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)
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return prompt
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def get_report_by_type(report_type):
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report_type_mapping = {
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"research_report": generate_report_prompt,
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"resource_report": generate_resource_report_prompt,
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"outline_report": generate_outline_report_prompt,
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}
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return report_type_mapping[report_type]
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