Token-Aware LLM Tool Router

A smart middleware that dynamically selects and loads only relevant tools/functions for LLM requests to minimize token consumption and API costs. Builds on the routing concept but adds intelligent tool subset selection before requests hit the API.

Token overhead from large function-calling schemas is a real and growing pain point as teams scale LLM applications — OpenAI's function-calling and tool-use APIs charge for every token in the system prompt, so bloated tool manifests directly inflate costs at volume. No clear incumbent owns this specific layer; LangChain and LlamaIndex touch adjacent routing problems but don't optimize tool selection for token efficiency as a first-class concern. The $500–3k/mo revenue band is believable for a developer tool sold to small teams, but it implies staying small — serious enterprise buyers would expect this baked into their LLM orchestration stack, not purchased separately. The core risk is commoditization: the major orchestration frameworks or the model providers themselves could absorb this functionality in a minor release, which at one cross-source mention of validated demand, is a real possibility before a moat is established.