CipherRoute

CipherRoute is a hybrid AI agent built for the AMD Developer Hackathon Track 1 challenge, where the objective is to maximize accuracy while using as few Fireworks tokens as possible. Instead of treating every prompt the same, CipherRoute analyzes each task, estimates its difficulty, and decides whether it can be solved locally or whether it truly requires a Fireworks model. This approach dramatically reduces token consumption without sacrificing answer quality. The system combines deterministic solvers for mathematics, sentiment analysis, named entity recognition, logical reasoning, factual knowledge, summarization, code debugging, and code generation with an intelligent routing engine. Every task first passes through prompt sanitization, classification, confidence estimation, and answer validation. A risk based allocator then identifies only the highest value tasks for Fireworks inference, ensuring API calls are reserved for problems where they provide the greatest improvement. To further improve efficiency, CipherRoute includes category specific token budgets, answer shape validation, conservative confidence scoring, code validation, semantic caching, and robust fallback handling. The entire system is packaged as a lightweight Docker container that complies with the official competition interface, reading tasks from /input/tasks.json and writing validated results to /output/results.json. CipherRoute demonstrates that competitive general purpose AI agents do not need to rely on expensive model calls for every request. By combining deterministic reasoning with intelligent model routing, it achieves a practical balance between accuracy, speed, and cost, making it well suited for real world enterprise AI deployments where efficiency is just as important as capability.