Coordination Layer

The Coordination Layer acts as the intermediary between the User Interface Layer and the Data Layer. It orchestrates the flow of data and commands, ensuring that user requests are appropriately processed and routed. This layer includes the Chat Session Manager and the ML-based Router, which are pivotal in managing and directing inference requests to the suitable models based on dynamic benchmarks and metadata.

Key Components

• Chat Session Manager: Manages the interaction sessions with users, ensuring requests are logged, processed, and responses are delivered accurately. It coordinates communication between the user interface and the router.

• Router (ML-based): The router is a machine learning model trained on a dataset of prompts to identify the complexity and intent of each prompt. It matches the user's cost and accuracy requirements against the performance benchmarks stored in the Models Library. By doing so, the router dynamically selects the best model for each request, optimising for both performance and cost.

Benefits

• Efficient Data Handling: Manages the flow of requests and responses effectively, reducing latency and improving performance.

• Optimised Model Selection: Utilises machine learning to dynamically route requests to the most appropriate model, enhancing accuracy and cost-efficiency.

• Scalability: Capable of handling numerous simultaneous requests, making it suitable for large-scale applications.

• Intelligent Routing: The ML-based router enhances decision-making by assessing prompt complexity and intent, ensuring that the most suitable model is used for each request based on real-time benchmarking data.

This advanced coordination layer ensures that InfiniRoute operates efficiently and effectively, providing high-quality AI model selection and execution tailored to the user's specific needs.