This article will guide you through the process of building a powerful AI proxy using NeuroLink in TypeScript, covering key components like routing, caching, rate limiting, cost tracking, and logging. Before diving into the "how," let's understand the "why. "GitHub - decolua/9router: Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% tokens, never hit limits. · GitHub feat (docker): add Docker setup, environment examples, and architectur. Update. Quick Answer: SmarterRouter (v2. 1, Feb 2026) is a Python-based LLM gateway that sits between your apps and your local backends (Ollama, llama. cpp, or OpenAI-compatible APIs). It profiles each model's speed and VRAM footprint on your hardware, then auto-routes each prompt to the best model for the. Today Red Hat announced project llm-d, a new distributed inference platform built to support our vision for an open source AI future. We have. To save on inference costs, you can enable prompt caching on supported providers and models. When using caching (whether automatically in. Emails, phone numbers, SSNs, credit cards, all scrubbed in real-time. Set per-team budgets, model. In this post, we'll explore how AI traffic impacts storage cache, describe some challenges associated with mitigating this impact, and propose directions for the community to consider adapting CDN cache to the AI era. This work is a collaborative effort with a team of researchers at ETH Zurich.
