Skip to main content

CrewAI Implementation

The Company Research Agent uses CrewAI to coordinate multiple AI agents in gathering and analyzing company information. This document details the implementation of the CompanyResearchCrew class.

Class Overview

Initialization

Tasks

The crew executes three main tasks:

1. Research Company

2. Analyze Data

3. Compile Report

Crew Configuration

The crew is configured to work sequentially:

Usage Example

Performance Considerations

The crew implementation includes several optimizations:
  • Sequential Processing: Tasks are executed in order to ensure data consistency
  • Rate Limiting: max_rpm=100 prevents API overload
  • Output Control: show_tools_output=False reduces noise
  • Verbose Mode: Enabled for debugging and monitoring

Error Handling

The crew handles errors at multiple levels:
  1. Task Level: Individual task failures
  2. Agent Level: Agent execution errors
  3. Tool Level: Data collection errors
The crew implementation is designed to be maintainable and extensible. New tasks or agents can be added by following the existing patterns.