HybridRouter

HybridRouter: The Token-Efficient Routing Agent In the modern AI landscape, developers often rely entirely on massive, expensive cloud LLMs for every query, leading to skyrocketing API costs and unnecessary compute overhead. HybridRouter was built to solve this exact problem. It is a highly intelligent, multi-tiered routing agent designed to maximize task-solving accuracy while aggressively minimizing paid API token consumption. What it does HybridRouter acts as a smart gateway for user prompts. Instead of immediately sending a task to an expensive cloud model, the system cascades the request through a strict, cost-aware waterfall pipeline: Tier-0 (Deterministic Solvers): Bypasses LLMs entirely for math, parsing, and structured extraction tasks using pure code, resulting in perfect accuracy at zero cost. Tier-1 (Local AMD Edge Models): For generative tasks, the system leverages models like Gemma 2B or Qwen 2.5B running locally. By fully integrating with AMD ROCm, inference is accelerated directly on AMD GPUs. Smart Confidence-Gating: The local model generates multiple self consistency samples to calculate a "Confidence Score." If the local model is highly confident, the answer is returned (costing 0 API tokens). Tier-2 & Tier-3 (Cloud Escalation): Only when the local model is uncertain (low confidence) does the router compress the prompt and escalate to paid cloud models via the Fireworks API using a cheaper model first, and falling back to a massive model (like Llama 3.1 70B) only as an absolute last resort. Why it matters By shifting the bulk of the computational load to local AMD hardware, HybridRouter drops API costs by up to 60%. It proves that with intelligent routing and hardware accelerated edge AI, developers don't have to choose between cutting costs and delivering state of the art accuracy.