Trim - local proxy that compresses coding prompts before they reach your LLM (github.com)

Trim has announced a local proxy tool designed to optimize coding prompts by compressing their size before they reach large language models (LLMs) like OpenAI's. This innovation introduces two operating modes: **Fast Mode**, which employs abstract syntax tree (AST) and heuristic compression for immediate efficiency, and **Deep Mode**, which utilizes a more thorough compression strategy while keeping data secure on local devices. The system supports various coding environments through a single base URL, facilitating seamless integration with tools such as VS Code and other IDEs. The significance of Trim lies in its ability to enhance productivity for developers by reducing latency and improving communication with LLMs without compromising data privacy. By processing code prompts locally, it alleviates concerns about sensitive data exposure. Additionally, an optional cloud control plane can manage user authentication, billing, and operational oversight, creating a comprehensive management ecosystem. With its straightforward setup compatible with macOS, Linux, and Windows, Trim positions itself as a tool that not only boosts coding efficiency but also aligns with best practices in data security within the AI/ML community.