LaVague is an open-source framework designed to empower developers in creating AI Web Agents that automate complex web interactions. By translating natural language instructions into executable actions, LaVague simplifies tasks such as web navigation, data extraction, and form submission, thereby enhancing productivity and efficiency. Key Features and Functionality: - Natural Language Processing: Interprets user instructions in natural language to perform browser interactions seamlessly. - Integration with Selenium and Playwright: Utilizes industry-standard tools for reliable and efficient web automation. - Customizable and Extensible: Offers flexibility to tailor configurations and extend functionalities to meet specific project requirements. - Support for Local and Cloud-Based Models: Compatible with various Large Language Models (LLMs), including OpenAI, Llama 3, Gemini, and Azure OpenAI, whether hosted locally or in the cloud. - Advanced AI Techniques: Employs Retrieval-Augmented Generation (RAG), few-shot learning, and chain-of-thought prompting to enhance the accuracy and relevance of automated tasks. Primary Value and Problem Solved: LaVague addresses the challenge of automating repetitive and time-consuming web tasks by enabling the development of intelligent agents that can perform these tasks autonomously. This reduces the need for manual intervention, minimizes errors, and allows users to focus on more strategic activities. By leveraging advanced AI models and integrating with established automation tools, LaVague provides a robust solution for developers and organizations seeking to enhance their web automation capabilities.