Local LLM development expands with new Laravel connector and sandboxed workflows

New tools and workflows are facilitating the development of web applications using local, on-device large language models (LLMs).

A new Laravel package, knackline/laravel-olm, provides a unified connector for various local LLM backends, including Ollama, MLX, LM Studio, llama.cpp, and vLLM. This package allows developers to use a single API within Laravel applications to switch between different inference engines via configuration, supporting features such as unified chat, completions, embeddings, and streaming.

In parallel, developers are utilizing tools like Opencode and Docker sandboxes to run models such as Qwen and Gemma locally on hardware like Apple Silicon. These setups allow for stable, containerized local LLM development, enabling the use of high-parameter models within a controlled environment.