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RouteMind
RouteMind is an intelligent AI routing system that automatically selects the best AI model for each request based on complexity, cost, and latency. It uses a local **Gemma4-Lite Router** through Ollama, built from **batiai/gemma4-e2b** with a custom **gemma4-lite** Modelfile, to classify requests into **Tier 1** or **Tier 2**. If Gemma is unavailable, it falls back to a deterministic regex and heuristic router. A routing engine then evaluates complexity, budget, cache probability, historical performance, economy score, and latency before selecting the optimal model. **Tier 1 uses MiniMax M3 (Fireworks)** for general chat, summarization, and simple tasks, while **Tier 2 uses Kimi K2P6 (Fireworks)** for coding, mathematics, complex reasoning, and multi-step analysis. To reduce costs, RouteMind combines multiple optimization techniques, including reduced coding token budgets, response compression, concise system prompts, speculative execution, delta compression, prompt optimization, and exact, semantic, and session caching. An Economy Engine manages token and cost budgets, predicts usage, validates speculative execution, and balances quality with cost. Additional features include adaptive learning through a **Gemma Learner**, a circuit breaker, rate limiting, monitoring, Docker deployment, health checks, and an AI Status Panel displaying the selected model, routing reason, token usage, latency, cost, confidence, and token savings. Together, these optimizations significantly reduce token usage while providing fast, accurate, and cost-effective AI routing.
13 Jul 2026
