AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications
arxiv(2024)
摘要
We introduce AI2Apps, a Visual Integrated Development Environment (Visual
IDE) with full-cycle capabilities that accelerates developers to build
deployable LLM-based AI agent Applications. This Visual IDE prioritizes both
the Integrity of its development tools and the Visuality of its components,
ensuring a smooth and efficient building experience.On one hand, AI2Apps
integrates a comprehensive development toolkit ranging from a prototyping
canvas and AI-assisted code editor to agent debugger, management system, and
deployment tools all within a web-based graphical user interface. On the other
hand, AI2Apps visualizes reusable front-end and back-end code as intuitive
drag-and-drop components. Furthermore, a plugin system named AI2Apps Extension
(AAE) is designed for Extensibility, showcasing how a new plugin with 20
components enables web agent to mimic human-like browsing behavior. Our case
study demonstrates substantial efficiency improvements, with AI2Apps reducing
token consumption and API calls when debugging a specific sophisticated
multimodal agent by approximately 90
including an online demo, open-source code, and a screencast video, is now
publicly accessible.
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