Refactored AI System Architecture and Core Modules

📅 2025-04-13 — Session: Refactored AI System Architecture and Core Modules

🕒 08:10–08:35
🏷️ Labels: AI, Architecture, Refactoring, Python, Fastapi
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary objective of this session was to review and refactor the AI interaction architecture and core modules to enhance scalability, maintainability, and modularity.

Key Activities

• Architecture Review: Conducted a detailed review of the existing AI system architecture, identifying key areas for improvement.
• Refactoring Plan: Developed a plan to refactor core AI modules, focusing on consolidating logic into two main files for better structure.
• Implementation: Executed the refactor by implementing changes in the openai_client.py and runner.py files, enhancing their modularity and scalability.
• API Endpoint Creation: Created an HTTP endpoint in FastAPI to trigger AI flows, ensuring seamless integration with the refactored architecture.
• API Route Consolidation: Analyzed and consolidated API route files into flow_ui.py and flow_api.py for improved file management.

Achievements

• Successfully refactored core AI modules, improving code organization and maintainability.
• Established a robust architecture for AI interaction that supports scalable and maintainable development.

Pending Tasks

• Further testing of the refactored modules and API endpoints to ensure stability and performance.