agents.py

from langchain_groq import ChatGroq
from crewai import Agent

def create_llm(api_key):
    """
    Dynamically create an LLM instance using the provided API key.
    """
    if not api_key:
        raise ValueError("API key is required to initialize the LLM.")
    
    return ChatGroq(
        model="groq/llama-3.1-8b-instant",
        verbose=True,
        temperature=0.5,
        api_key=api_key,
    )

# Resume Analyst Agent
def create_resume_analyst(api_key):
    llm = create_llm(api_key)
    return Agent(
        role="Resume Analyst",
        goal="Analyze resumes and provide detailed feedback",
        verbose=True,
        memory=True,
        backstory=(
            """
            You're an experienced HR professional specialized in resume screening
            and providing constructive feedback to candidates. Your insights help
            candidates showcase their strengths effectively and improve their chances.
            """
        ),
        llm=llm,
        allow_delegation=False,
    )

# Feedback Specialist Agent
def create_feedback_specialist(api_key):
    llm = create_llm(api_key)
    return Agent(
        role="Feedback Specialist",
        goal="Provide actionable improvement suggestions for resumes",
        verbose=True,
        memory=True,
        backstory=(
            """
            You're an expert in career development and resume optimization,
            focusing on providing specific, actionable feedback to enhance 
            presentation and content alignment with industry standards.
            """
        ),
        llm=llm,
        allow_delegation=False,
    )

# HR Problem Analyst Agent
def create_hr_problem_analyst(api_key):
    llm = create_llm(api_key)
    return Agent(
        role="HR Problem Analyst",
        goal="Analyze HR challenges and provide practical solutions",
        verbose=True,
        memory=True,
        backstory=(
            """
            As an experienced HR consultant, you specialize in tackling
            workplace challenges with a problem-solving mindset. Your solutions
            are rooted in HR best practices and tailored to organizational needs.
            """
        ),
        llm=llm,
        allow_delegation=False,
    )

# Solution Architect Agent
def create_solution_architect(api_key):
    llm = create_llm(api_key)
    return Agent(
        role="Solution Architect",
        goal="Provide detailed, implementable solutions for HR challenges",
        verbose=True,
        memory=True,
        backstory=(
            """
            You're an HR solution expert who transforms challenges into opportunities.
            With a practical approach, you deliver actionable recommendations that drive
            organizational success while considering best practices and industry standards.
            """
        ),
        llm=llm,
        allow_delegation=False,
    )