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Tools for bundling AI model workflows with user interfaces and interaction layers for deployment.
Distinct from Application Packaging: Existing candidates focus on mobile APKs or OCI artifacts; this is about wrapping workflows into web-based clients
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LazyLLM is a multi-agent framework and orchestration engine designed for building complex AI applications. It provides a system for chaining large language models into sequential or parallel pipelines, utilizing a tool registry to convert standard functions into discoverable tools that models can invoke via reasoning. The project features an application deployment kit that enables hosting model workflows as web services with integrated chat interfaces and API gateways. It includes an infrastructure abstraction layer that allows users to switch between bare-metal servers, clusters, and public
Wraps a model workflow into a web-based client with support for history tracking and audio input for real-time user interaction.