kimi Tools

vLLM is a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs). It solves the problem of expensive and inefficient LLM deployment by maximizing hardware utilization with features like PagedAttention and continuous batching, drastically reducing inference costs. It's designed for developers and organizations who need to deploy a wide range of open-source LLMs easily and affordably on any hardware, offering a drop-in OpenAI-compatible API for instant integration.

TokenSpeed is a high-performance LLM inference engine built from the ground up for agentic workloads like AI coding assistants. It solves the critical efficiency problem at data-center scale by maximizing throughput per GPU through a compiler-backed parallelism model and a high-performance scheduler. It is designed for organizations deploying large-scale, token-intensive AI applications where inference speed and resource efficiency directly impact cost and capacity.

OmniRoute is an open-source AI gateway that provides a single OpenAI-compatible endpoint to access over 350 providers and 1200+ models, including many free options. It solves the problem of vendor lock-in and high costs by automatically routing requests to the cheapest or most available provider with quota-aware fallback. It's built for developers using AI coding assistants like Cursor, Copilot, and Claude Code who want maximum flexibility, reliability, and token savings.