tools

Former-commit-id: b31766016218478c5238ddf7dd9ccd14e4b0daa9

swarms/agents/utils/prompts.py

@@ -0,0 +1,105 @@
+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]

swarms/agents/workers/WorkerUltraNode.py

@@ -6,7 +6,7 @@ from typing import Dict, List
 
 from swarms.agents.utils.AgentManager import AgentManager
 from swarms.utils.main import BaseHandler, FileHandler, FileType
-from swarms.tools.main import CsvToDataframe, ExitConversation, RequestsGet, CodeEditor, Terminal
+from swarms.tools.agent_tools import CsvToDataframe, ExitConversation, RequestsGet, CodeEditor, Terminal
 from swarms.tools.main import BaseToolSet
 from swarms.utils.main import StaticUploader