
Developed the initial MultiAIChatGAgent framework within the aevatar-gagents repository to enable scalable orchestration of multiple AI agents for chat interactions. The work focused on backend development using C# and .NET, establishing a robust architecture for managing agent availability, chat history, and agent selection. Implemented configuration DTOs and a base agent class to streamline multi-agent management, while also setting up comprehensive project scaffolding and unit testing infrastructure. The approach emphasized maintainability and extensibility, supporting both development and quality assurance processes. This foundation addressed the need for distributed, agent-based chat systems and facilitated future enhancements in API and system design.
April 2025: Implemented the initial MultiAIChatGAgent framework in the aevatar-gagents repository to enable scalable orchestration of multiple AI agents for chat interactions. Delivered architecture for multi-agent management including configuration DTOs, agent availability state handling, and a base agent class for chat history and agent selection, along with project setup and test scaffolding to support development and QA.
April 2025: Implemented the initial MultiAIChatGAgent framework in the aevatar-gagents repository to enable scalable orchestration of multiple AI agents for chat interactions. Delivered architecture for multi-agent management including configuration DTOs, agent availability state handling, and a base agent class for chat history and agent selection, along with project setup and test scaffolding to support development and QA.

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