Kotro Proxy Engine Aims to Cut AI Coding Costs With Local Token Optimization

As AI coding assistants like Cursor and Devin become standard developer tools, engineers and CTOs are reporting runaway cloud API costs driven by long sessions, large codebases, and repetitive error loops. Kotro is an open-source, Rust-based sidecar tool designed to sit between a developer's IDE and LLM providers, intercepting and optimizing outgoing AI traffic locally. Its key features include a circuit breaker that halts infinite retry loops, an intelligent router that redirects simple prompts to free local models instead of paid cloud APIs, and AST-aware code pruning that strips irrelevant context before sending requests upstream. The tool also embeds a vector-based semantic cache to match near-duplicate prompts without additional API calls. Kotro's developers claim these combined optimizations can reduce token consumption by up to 50–60%, lowering costs without requiring manual workflow changes.