The CrewAI framework is introduced to manage AI agents in projects like Facilis, using role-based design and flexibility.
The Planners group includes Extraction Agent, responsible for extracting API specifications, and Validation Agent, ensuring their correctness.
Interaction Agent and Production Agent fill missing API spec fields and gather essential information for interoperability, respectively.
Documentation Transformation Agent converts specifications to OpenAPI documentation, while Review Agent ensures quality and compliance.
Iris Agent integrates the finalized documentation with Iris I14y service, handling communication and validation.
The Generators group transforms OpenAPI specs into InterSystems IRIS interoperability components with agents like Analyzer, BS, and BO.
These agents work together to create Business Services, Business Operations, and manage the production environment in InterSystems IRIS.
Export Agent generates .cls files, while Collection Agent gathers them for compilation into InterSystems Iris.
Limitations and challenges are faced in automating OpenAPI to Iris Interoperability, dealing with AI models, hallucinations, and legacy systems integration.
Experimenting with AI models like GPT3.5-turbo, Anthropic Claude 3.7 Sonnet, and GT4o shows varying results and challenges in the project.
Despite the challenges, the project team learns and adapts, highlighting the promising future of AI applications in the field.