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LazyAGI/LazyLLM

LazyLLM simplifies the creation and iterative optimization of multi-agent large language model (LLM) applications with a low-code approach.

Core Features

Convenient low-code assembly for multi-agent AI applications.

One-click deployment for both proof-of-concept and production environments.

Cross-platform compatibility across various IaaS platforms without code changes.

Unified user experience for diverse models, inference, and database technologies.

Efficient in-application model fine-tuning for continuous performance improvement.

Quick Start

import lazyllm; chat = lazyllm.OnlineChatModule(); lazyllm.WebModule(chat).start().wait()

Detailed Introduction

LazyLLM is a low-code development tool designed to streamline the creation of complex multi-agent large language model applications. It empowers developers to build AI applications with minimal effort, supporting a continuous iterative optimization cycle from prototype to production. The platform offers a convenient workflow, standard processes, and tools for various development stages, emphasizing agility and efficiency. It enables rapid prototyping, data-driven iteration, and seamless deployment to industrial-grade, high-concurrency environments, abstracting away underlying infrastructure complexities.