LazyLLM
A low-code Python tool for building multi-agent large language model applications, covering prototyping, data-driven iteration, one-click deployment and cross-platform scaling.
LazyLLM is a low-code development tool for building multi-agent large language model applications. It follows a workflow of building a prototype, analyzing failure cases with task-specific data, then iterating on algorithms and fine-tuning models at critical stages to improve overall application performance.
It provides built-in data-flow and functional modules for assembling AI applications from multiple agents, and can deploy all of an application's modules with a single click: during proof-of-concept it starts each submodule service, such as an LLM or an embedding service, through a lightweight gateway, and for release it can package the application as container images for use with Kubernetes-style gateways, load balancing and fault tolerance. It can switch between bare-metal servers, development machines, Slurm clusters and public clouds without code changes.
It is licensed under Apache-2.0.