Discovering AI Agents with CrewAI: Automating Workflows with Smart Delegation

pip install crewai

 import os
from dotenv import load_dotenv

# Load keys from .env into environment variables
load_dotenv()

def get_openai_api_key():
    return os.getenv("OPENAI_API_KEY")

def get_serper_api_key():
    return os.getenv("SERPER_API_KEY")

# ========================
# AI Resume Tailoring Crew
# ========================

# Suppress warnings
import warnings
warnings.filterwarnings('ignore')

# Import standard libraries
import os
from crewai import Agent, Task, Crew, LLM
from crewai_tools import (
    FileReadTool,
    ScrapeWebsiteTool,
    MDXSearchTool,
    SerperDevTool
)
from IPython.display import Markdown, display

# Import utility functions
from utils import get_openai_api_key, get_serper_api_key

# -------------------------
# API Key Setup
# -------------------------

os.environ["OPENAI_MODEL_NAME"] = 'gpt-4-turbo'
os.environ["OPENAI_API_KEY"] = get_openai_api_key()
os.environ["SERPER_API_KEY"] = get_serper_api_key()

# -------------------------
# LLM Configuration
# -------------------------
llm = LLM(
    model="openai/gpt-4-turbo",
    temperature=0.8,
    max_tokens=150,
    top_p=0.9,
    frequency_penalty=0.1,
    presence_penalty=0.1,
    stop=["END"],
    seed=42
)

# -------------------------
# Tool Setup
# -------------------------
search_tool = SerperDevTool()
scrape_tool = ScrapeWebsiteTool()
read_resume = FileReadTool(file_path='./analyst_Resume.md')
semantic_search_resume = MDXSearchTool(mdx='./analyst_Resume.md')

# -------------------------
# Agent Definitions
# -------------------------
researcher = Agent(
    role="Researcher",
    goal="Perform a high-quality analysis of job postings to support job applicants in tailoring their applications effectively.",
    tools=[scrape_tool, search_tool],
    verbose=True,
    backstory=(
        "You are a highly skilled Job Researcher with expertise in analyzing tech job postings. "
        "Your strength lies in identifying key qualifications, skills, and expectations that employers are seeking. "
        "Your insights serve as the foundation for creating well-aligned resumes and application materials."
    )
)

resume_strategist = Agent(
    role="Resume Strategist for Analysts",
    goal="Identify and apply the most effective strategies to make an analyst's resume stand out in the job market.",
    tools=[scrape_tool, search_tool, read_resume, semantic_search_resume],
    verbose=True,
    backstory=(
        "You are a detail-oriented Resume Strategist with expertise in optimizing resumes for analyst roles. "
        "Your role is to refine and tailor resumes by highlighting the most relevant skills, achievements, and experiences. "
        "You ensure that each resume aligns closely with the specific requirements and language of the target job description, "
        "maximizing its chances of getting noticed by recruiters and applicant tracking systems (ATS)."
    )
)

# -------------------------
# Task Definitions
# -------------------------
research_task = Task(
    description=(
        "You are assigned to analyze the job posting available at the following URL: {job_posting_url}. "
        "Your goal is to extract key information from the job listing, specifically focusing on required skills, relevant experiences, and listed qualifications. "
        "Use the available tools to scrape and search content from the URL, then identify and categorize the extracted requirements."
    ),
    expected_output=(
        "Provide a structured list summarizing the job requirements. "
        "This should include clearly labeled sections for:\n"
        "- Required Skills\n"
        "- Relevant Experiences\n"
        "- Educational or Professional Qualifications"
    ),
    agent=researcher,
    async_execution=True
)

resume_strategy_task = Task(
    description=(
        "You are provided with a candidate’s resume and a list of job requirements extracted from the job posting. "
        "Your task is to revise and tailor the resume to align closely with the job description. "
        "Use the available tools to enhance and adjust the content, focusing on relevance and clarity. "
        "Update all sections of the resume—including the summary, work experience, skills, and education—to reflect the candidate’s strengths as they relate to the job. "
        "Do not fabricate any details. Only enhance what is already provided to ensure it matches the job requirements effectively and professionally."
    ),
    expected_output=(
        "An updated resume that effectively highlights the candidate's "
        "qualifications and experiences relevant to the job."
    ),
    output_file="tailored_resume.md",
    context=[research_task],
    agent=resume_strategist
)

# -------------------------
# Crew Setup
# -------------------------
job_application_crew = Crew(
    agents=[researcher, resume_strategist],
    tasks=[research_task, resume_strategy_task],
    verbose=True
)

# -------------------------
# Execution
# -------------------------
job_application_inputs = {
    'job_posting_url': 'job-link'
}

print("🚀 Running job application crew... this may take a few minutes.")
result = job_application_crew.kickoff(inputs=job_application_inputs)

# -------------------------
# Display Output
# -------------------------
display(Markdown("./tailored_resume.md"))