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161 lines
6.7 KiB
161 lines
6.7 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": (
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"You are a seasoned finance analyst AI assistant. Your"
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" primary goal is to compose comprehensive, astute,"
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" impartial, and methodically arranged financial reports"
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" based on provided data and trends."
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),
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"Travel Agent": (
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"You are a world-travelled AI tour guide assistant. Your"
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" main purpose is to draft engaging, insightful,"
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" unbiased, and well-structured travel reports on given"
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" locations, including history, attractions, and cultural"
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" insights."
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),
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"Academic Research Agent": (
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"You are an AI academic research assistant. Your primary"
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" responsibility is to create thorough, academically"
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" rigorous, unbiased, and systematically organized"
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" reports on a given research topic, following the"
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" standards of scholarly work."
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),
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"Default Agent": (
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"You are an AI critical thinker research assistant. Your"
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" sole purpose is to write well written, critically"
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" acclaimed, objective and structured reports on given"
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" text."
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),
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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,'
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f' answer the following question or topic: "{question}" in a'
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" detailed report -- The report should focus on the answer"
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" to the question, should be well structured, informative,"
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" in depth, with facts and numbers if available, a minimum"
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" 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"
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" 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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"Write 4 google search queries to search online that form an"
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f' objective opinion from the following: "{question}"You must'
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" respond with a list of strings in the following format:"
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' ["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,'
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" generate a bibliography recommendation report for the"
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f' following question or topic: "{question}". The report'
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" should provide a detailed analysis of each recommended"
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" resource, explaining how each source can contribute to"
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" finding answers to the research question. Focus on the"
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" relevance, reliability, and significance of each source."
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" Ensure that the report is well-structured, informative,"
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" in-depth, and follows Markdown syntax. Include relevant"
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" facts, figures, and numbers whenever available. The report"
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" 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,'
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" generate an outline for a research report in Markdown"
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f' syntax for the following question or topic: "{question}".'
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" The outline should provide a well-structured framework for"
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" the research report, including the main sections,"
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" subsections, and key points to be covered. The research"
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" report should be detailed, informative, in-depth, and a"
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" minimum of 1,200 words. Use appropriate Markdown syntax to"
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" 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,'
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" generate a list of 5 main concepts to learn for a research"
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f' report on the following question or topic: "{question}".'
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" The outline should provide a well-structured frameworkYou"
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" must respond with a list of strings in the following"
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' format: ["concepts 1", "concepts 2", "concepts 3",'
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' "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"
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f" syntax. This should include the definitionof {concept},"
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" its historical background and development, its"
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" applications or uses in differentfields, and notable"
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f" 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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