Task Mode with Custom Tools

"""
Task Mode with Custom Tools

Demonstrates task mode where member agents use custom Python function tools.
Shows how agents with specialized tools can be orchestrated via tasks.

Run: .venvs/demo/bin/python cookbook/03_teams/task_mode/06_custom_tools.py
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.team.mode import TeamMode
from agno.team.team import Team
from agno.tools import tool

# ---------------------------------------------------------------------------
# Tools
# ---------------------------------------------------------------------------


@tool
def calculate_compound_interest(
    principal: float, annual_rate: float, years: int, compounds_per_year: int = 12
) -> str:
    """Calculate compound interest on an investment.

    Args:
        principal: Initial investment amount in dollars.
        annual_rate: Annual interest rate as a percentage (e.g., 5.0 for 5%).
        years: Number of years to compound.
        compounds_per_year: How many times interest compounds per year. Defaults to 12 (monthly).
    """
    rate = annual_rate / 100
    amount = principal * (1 + rate / compounds_per_year) ** (compounds_per_year * years)
    interest = amount - principal
    return (
        f"Investment: ${principal:,.2f}\n"
        f"Rate: {annual_rate}% compounded {compounds_per_year}x/year\n"
        f"Duration: {years} years\n"
        f"Final value: ${amount:,.2f}\n"
        f"Total interest earned: ${interest:,.2f}"
    )


@tool
def calculate_monthly_payment(principal: float, annual_rate: float, years: int) -> str:
    """Calculate monthly loan payment using amortization formula.

    Args:
        principal: Loan amount in dollars.
        annual_rate: Annual interest rate as a percentage (e.g., 5.0 for 5%).
        years: Loan term in years.
    """
    monthly_rate = (annual_rate / 100) / 12
    num_payments = years * 12
    if monthly_rate == 0:
        payment = principal / num_payments
    else:
        payment = (
            principal
            * (monthly_rate * (1 + monthly_rate) ** num_payments)
            / ((1 + monthly_rate) ** num_payments - 1)
        )
    total_paid = payment * num_payments
    total_interest = total_paid - principal
    return (
        f"Loan: ${principal:,.2f} at {annual_rate}% for {years} years\n"
        f"Monthly payment: ${payment:,.2f}\n"
        f"Total paid: ${total_paid:,.2f}\n"
        f"Total interest: ${total_interest:,.2f}"
    )


@tool
def assess_risk_score(
    debt_to_income_ratio: float, credit_score: int, years_employed: int
) -> str:
    """Assess financial risk based on key metrics.

    Args:
        debt_to_income_ratio: Monthly debt payments divided by monthly income (e.g., 0.3 for 30%).
        credit_score: Credit score (300-850).
        years_employed: Years at current employer.
    """
    score = 0
    if credit_score >= 750:
        score += 40
    elif credit_score >= 700:
        score += 30
    elif credit_score >= 650:
        score += 20
    else:
        score += 10

    if debt_to_income_ratio <= 0.28:
        score += 30
    elif debt_to_income_ratio <= 0.36:
        score += 20
    else:
        score += 10

    if years_employed >= 5:
        score += 30
    elif years_employed >= 2:
        score += 20
    else:
        score += 10

    if score >= 80:
        risk = "LOW"
    elif score >= 60:
        risk = "MODERATE"
    else:
        risk = "HIGH"

    return (
        f"Risk Assessment:\n"
        f"  Credit score: {credit_score} -> {'Excellent' if credit_score >= 750 else 'Good' if credit_score >= 700 else 'Fair' if credit_score >= 650 else 'Poor'}\n"
        f"  Debt-to-income: {debt_to_income_ratio:.0%} -> {'Good' if debt_to_income_ratio <= 0.28 else 'Acceptable' if debt_to_income_ratio <= 0.36 else 'High'}\n"
        f"  Employment: {years_employed} years -> {'Stable' if years_employed >= 5 else 'Moderate' if years_employed >= 2 else 'New'}\n"
        f"  Overall risk: {risk} (score: {score}/100)"
    )


# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------

calculator = Agent(
    name="Financial Calculator",
    role="Performs financial calculations including interest, loans, and projections",
    model=OpenAIResponses(id="gpt-5.2-mini"),
    tools=[calculate_compound_interest, calculate_monthly_payment],
    instructions=[
        "You are a financial calculator.",
        "Use the provided tools to perform precise calculations.",
        "Always show the full calculation results.",
    ],
)

risk_assessor = Agent(
    name="Risk Assessor",
    role="Evaluates financial risk based on client metrics",
    model=OpenAIResponses(id="gpt-5.2-mini"),
    tools=[assess_risk_score],
    instructions=[
        "You are a financial risk assessor.",
        "Use the risk assessment tool to evaluate client financial health.",
        "Provide clear interpretation of the results.",
    ],
)

advisor = Agent(
    name="Financial Advisor",
    role="Provides financial advice and recommendations",
    model=OpenAIResponses(id="gpt-5.2-mini"),
    instructions=[
        "You are a financial advisor.",
        "Based on calculations and risk assessments, provide actionable advice.",
        "Be specific with recommendations and explain your reasoning.",
    ],
)

# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------

finance_team = Team(
    name="Financial Advisory Team",
    mode=TeamMode.tasks,
    model=OpenAIResponses(id="gpt-5.2"),
    members=[calculator, risk_assessor, advisor],
    instructions=[
        "You are a financial advisory team leader.",
        "For financial advice requests:",
        "1. Use the Financial Calculator for any number crunching",
        "2. Use the Risk Assessor to evaluate the client's risk profile",
        "3. These two tasks are independent -- run them in parallel",
        "4. Then have the Financial Advisor synthesize findings into recommendations",
        "Always use the proper tools for calculations -- do not estimate.",
    ],
    show_members_responses=True,
    markdown=True,
    max_iterations=10,
)

# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    finance_team.print_response(
        "I'm considering buying a house for $450,000 with a 20% down payment. "
        "I can get a 30-year mortgage at 6.5%. My credit score is 720, "
        "debt-to-income ratio is 0.25, and I've been at my job for 4 years. "
        "I also want to know what $50,000 invested at 8% for 20 years would grow to. "
        "Give me a complete financial picture and your recommendation."
    )

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/03_teams/task_mode

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python 06_custom_tools.py