Hey Product Hunt! 👋 I'm thrilled to share **JevProxy** with you today. The Problem We Kept Hitting If you build or use autonomous coding agents (like Cursor Agent, Claude Code, Devin, or custom agent swarms), you know the painful truth: Chat LLMs were never built to orchestrate tools. Every single intermediate decision — "Should I check git status?", "Which file tool do I call?", "Is this prompt safe?" — burns 1,200ms–1,800ms and $0.015–$0.02 on heavy autoregressive reasoning loops. When an agent executes a 30-step coding refactor, you sit waiting for 45+ seconds and rack up dollars just on trivial tool dispatches. How JevProxy Fixes It JevProxy is a 1-line drop-in proxy compatible with the standard OpenAI and Anthropic API formats: 1. Sub-25ms Decision Engine : Powered by non-autoregressive System 1 models trained via RLCD (Reinforcement Learning for Calibrated Decisions), JevProxy intercepts intermediate tool decisions in 18.4ms. 2. 99.3% Cost Reduction: Intermediate decisions cost $0.0001 instead of $0.015. 3. Zero Code Refactoring: Drop your base URL into Cursor, Claude Code, or any LangChain/LlamaIndex stack: ```bash # 1-Line Drop-in via CLI: npx jevproxy run "cursor . --agent"

JevProxy

1-line drop-in proxy for 99% faster AI agent decisions

1-line drop-in proxy for 99% faster AI agent decisions