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83 lines
2.3 KiB
83 lines
2.3 KiB
from swarms import Agent, OpenAIChat
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def calculate_profit(revenue: float, expenses: float):
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"""
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Calculates the profit by subtracting expenses from revenue.
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Args:
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revenue (float): The total revenue.
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expenses (float): The total expenses.
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Returns:
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float: The calculated profit.
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"""
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return revenue - expenses
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def generate_report(company_name: str, profit: float):
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"""
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Generates a report for a company's profit.
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Args:
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company_name (str): The name of the company.
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profit (float): The calculated profit.
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Returns:
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str: The report for the company's profit.
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"""
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return f"The profit for {company_name} is ${profit}."
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def account_agent(task: str = None):
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"""
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delegate a task to an agent!
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Task: str (What task to give to an agent)
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"""
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agent = Agent(
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agent_name="Finance Agent",
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system_prompt="You're the Finance agent, your purpose is to generate a profit report for a company!",
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agent_description="Generate a profit report for a company!",
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llm=OpenAIChat(),
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max_loops=1,
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autosave=True,
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dynamic_temperature_enabled=True,
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dashboard=False,
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verbose=True,
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# interactive=True, # Set to False to disable interactive mode
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# stopping_token="<DONE>",
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# saved_state_path="accounting_agent.json",
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# tools=[calculate_profit, generate_report],
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# docs_folder="docs",
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# pdf_path="docs/accounting_agent.pdf",
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)
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out = agent.run(task)
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return out
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# Initialize the agent
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agent = Agent(
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agent_name="Accounting Assistant",
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system_prompt="You're the accounting agent, your purpose is to generate a profit report for a company!",
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agent_description="Generate a profit report for a company!",
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llm=OpenAIChat(),
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max_loops=1,
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autosave=True,
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dynamic_temperature_enabled=True,
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dashboard=False,
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verbose=True,
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# interactive=True, # Set to False to disable interactive mode
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# stopping_token="<DONE>",
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# saved_state_path="accounting_agent.json",
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tools=[account_agent],
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# docs_folder="docs",
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# pdf_path="docs/accounting_agent.pdf",
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)
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agent.run(
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"Delegate a task to the accounting agent: what are the best ways to read cashflow statements"
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)
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