LaVague
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About
LaVague is an open-source framework designed for developers to create AI Web Agents that automate processes for their end users. These agents can take an objective, such as "Print installation steps for Hugging Face's Diffusers library," and generate and perform the required actions. It comprises a World Model for instructions and an Action Engine for execution (e.g., Selenium, Playwright). LaVague QA, built on this framework, specifically targets QA engineers, automating test writing from Gherkin specs. The framework supports various drivers (Selenium, Playwright, Chrome Extension) and offers features like built-in contexts, customizable configurations, a test runner, token counter, logging tools, an interactive Gradio interface, debugging tools, and a Chrome Extension.
Platform
Features
• debugging and logging tools
• token usage and cost estimation
• interactive gradio interface
• multiple browser driver support (selenium, playwright, chrome extension)
• customizable llm integration
• qa test automation (lavague qa)
• web process automation
• ai web agent creation
FAQs
Can I run LaVague with open-source local/remote models?
Yes, LaVague's multi-modal, Action Engine's LLM, and embedding models can be replaced with any llama-index compatible alternative with a sufficiently large context window, including open-source options.
How can I disable telemetry?
Telemetry, collected by default to improve performance, can be disabled by setting the LAVAGUE_TELEMETRY environment variable to 'NONE'.
How can I set environment variables for API keys?
Environment variables for API keys (e.g., OPENAI_API_KEY) can be set temporarily or permanently via shell commands (Linux/MacOS) or system settings (Windows), as detailed in the documentation.
How much will LaVague usage cost?
LaVague uses LLMs (OpenAI's gpt4-o by default) and costs depend on models, objective complexity, prompt template size, number of steps, and retries. Users can customize options to reduce token usage.
Pricing Plans
Open Source
USD20.00 / per month• Open-source framework
• Create AI Web Agents
• Automate web processes
• LaVague QA for test automation
• Customizable LLM integration
• Community support through GitHub and Discord
Job Opportunities
There are currently no job postings for this AI tool.
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