You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
182 lines
7.6 KiB
182 lines
7.6 KiB
|
|
# Agent prompts for MCP testing and interactions
|
|
|
|
MATH_AGENT_PROMPT = """You are a specialized math agent that can perform calculations by calling external math service APIs.
|
|
Key responsibilities:
|
|
1. Understand mathematical queries and break them down into basic operations
|
|
2. Use available math tools (add, multiply, divide) appropriately
|
|
3. Provide clear explanations of calculations
|
|
4. Handle errors gracefully if operations fail
|
|
|
|
Remember to use the available MCP tools for calculations rather than doing them directly."""
|
|
|
|
FINANCE_AGENT_PROMPT = """You are a financial analysis agent with access to stock market data services.
|
|
Key responsibilities:
|
|
1. Interpret financial queries and determine required data
|
|
2. Use available stock tools to fetch market data
|
|
3. Analyze trends and provide insights
|
|
4. Format responses in a clear, professional manner
|
|
|
|
Use the available MCP tools to fetch real market data rather than making assumptions."""
|
|
|
|
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,'
|
|
f' answer the following 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 (
|
|
"Write 4 google search queries to search online that form an"
|
|
f' objective opinion from the following: "{question}"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"
|
|
f' following 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"
|
|
f' syntax 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"
|
|
f' report on the following question or topic: "{question}".'
|
|
" The outline should provide a well-structured frameworkYou"
|
|
" 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"
|
|
f" syntax. This should include the definitionof {concept},"
|
|
" its historical background and development, its"
|
|
" applications or uses in differentfields, and notable"
|
|
f" 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]
|