bni_agent.py

import os
from phi.agent import Agent
from phi.model.openai import OpenAIChat

# Load environment variables (API keys, etc.)
from dotenv import load_dotenv
load_dotenv()

#####################################################################################
#                                BNI Membership Agent                               #
#####################################################################################

bni_agent = Agent(
    name="BNI Membership Agent",
    model=OpenAIChat(id="gpt-4o"),
    description="Provides insights on how BNI membership can help a business grow.",
    show_tool_calls=True,
    markdown=True,
)

def get_bni_benefits(company_data: str) -> str:
    """
    Generates a structured overview of how BNI membership can help the user's company.
    
    Args:
        company_data (str): User's company description, industry, and business details.

    Returns:
        str: Tailored insights on how BNI can benefit the company.
    """
    query = f"""
    Given the following company details:
    - **Business Overview:** {company_data}

    Provide a **structured explanation** of how **BNI membership** can **benefit this company**:
    1. **Referral Generation** – How can BNI help this business generate quality referrals?
    2. **Networking Opportunities** – How will industry-specific networking be useful?
    3. **Professional Development** – What skills & business exposure can the company gain?
    4. **Supportive Community** – How does BNI help businesses grow through peer support?
    5. **Access to Resources** – What exclusive resources (mentorship, training, etc.) are beneficial?
    6. **Revenue Growth Potential** – How can this business scale by leveraging BNI connections?

    Make the response **personalized** to the company’s industry and nature of operations.
    """
    response = bni_agent.run(query)
    return response.content  # Returns structured insights on BNI membership benefits