Smart Routing Agent

Multi-Agent AI Query Routing System The Multi-Agent AI Query Routing System is an AI powered application that intelligently routes user requests to the most suitable large language model (LLM) based on the complexity and nature of the task. Instead of relying on a single model for every query, the system employs a dedicated routing agent that analyzes the user's prompt and determines the optimal model by considering factors such as reasoning requirements, coding complexity, context length, and expected output size. The routing agent generates a structured decision containing the selected model, maximum token allocation, temperature, and the reasoning behind its choice. This decision is then used to invoke the appropriate model through the Fireworks AI API, ensuring that each request is handled efficiently while balancing performance and cost. The project supports a variety of task categories, including text summarization, code debugging, algorithmic problem solving, and large-scale software engineering tasks. To demonstrate the routing process, the application features an interactive Gradio-based interface that visualizes the routing workflow. Users can select predefined tasks, observe the router's decision making process, view the chosen model and its configuration, and receive the generated response. The system also records execution details and model outputs in a JSON file for later analysis and evaluation. The project showcases modern AI engineering concepts such as agent orchestration, structured outputs, prompt engineering, model routing, and API integration, providing a scalable foundation for building intelligent, cost-effective multi-agent AI applications.