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 theCompanyResearchCrew 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=100prevents API overload - Output Control:
show_tools_output=Falsereduces noise - Verbose Mode: Enabled for debugging and monitoring
Error Handling
The crew handles errors at multiple levels:- Task Level: Individual task failures
- Agent Level: Agent execution errors
- 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.