LazyLLM

LazyLLM is a low-code development tool for building multi-agent LLM applications. The README frames development as prototype building, then data feedback, then iterative optimisation: you assemble a prototype quickly, analyse bad cases to find where it fails, and improve the algorithms before taking them to production with support for multiple users, fault tolerance and more. Documentation is at docs.lazyllm.ai and the README is available in English and Chinese.

Listed features are an assembly process in which built-in data flows and functional modules let you build multi-agent apps like Lego even if you are unfamiliar with large models, one-click deployment of all modules through a lightweight gateway during proof of concept, cross-platform compatibility so you can switch infrastructure (bare metal, development machines, Slurm clusters, public clouds) without changing code, a unified experience across online models from different providers and locally deployed models, and model fine-tuning inside the application with automatic choice of fine-tuning framework and splitting strategy. Examples cover chatbots and retrieval-augmented generation. Install with pip; separate tutorials cover Windows and macOS. The code is Apache-2.0 licensed.