Qualification Crew

CrewAI and Langchain Coordination between agents that are tasked with enrichment, lead qualification and lead scoring (deterministic algorithm), prioritization of leads.

Installation

Ensure you have Python >=3.10 <=3.13 installed on your system. This project uses UV for dependency management and package handling, offering a seamless setup and execution experience.

First, if you haven't already, install uv:

pip install uv

Next, navigate to your project directory and install the dependencies:

1. First lock the dependencies and then install them:

uv lock

uv sync

Customizing

Add your OPENAI_API_KEY into the .env file

• Modify src/crewai_plus_lead_scoring/config/agents.yaml to define your agents
• Modify src/crewai_plus_lead_scoring/config/tasks.yaml to define your tasks
• Modify src/crewai_plus_lead_scoring/crew.py to add your own logic, tools and specific args
• Modify src/crewai_plus_lead_scoring/main.py to add custom inputs for your agents and tasks

Running the Project

To kickstart your crew of AI agents and begin task execution, run this from the root folder of your project:

uv run crewai_plus_lead_scoring

This command initializes the crewai-plus-lead-scoring Crew, assembling the agents and assigning them tasks as defined in your configuration.

This example, unmodified, will run the create a report.md file with the output of a research on LLMs in the root folser

Understanding Your Crew

The crewai-plus-lead-scoring Crew is composed of multiple AI agents, each with unique roles, goals, and tools. These agents collaborate on a series of tasks, defined in config/tasks.yaml, leveraging their collective skills to achieve complex objectives. The config/agents.yaml file outlines the capabilities and configurations of each agent in your crew.