ModelPilot – Intelligent LLM router optimizing cost, speed, quality, and carbon impact

Summary: ModelPilot is an API-compatible LLM router that automatically selects the optimal AI model for each prompt by balancing cost, latency, quality, and environmental impact. It integrates seamlessly as a drop-in replacement for OpenAI-style endpoints, enabling quick adoption without code changes.

What it does

ModelPilot routes requests to different AI models based on configurable priorities like cost, speed, and carbon footprint. It runs on Firebase and Google Cloud, providing secure, scalable model selection with features such as carbon-aware routing and autonomous AI Helpers that escalate tasks to larger models when needed.

Who it's for

It is designed for developers and teams managing multiple LLMs who want to optimize performance and costs without manual model selection.

Why it matters

ModelPilot automates model selection to reduce expenses and environmental impact while maintaining quality and latency, eliminating the need for manual routing decisions.