What is LaVague?
The framework emphasizes customization, permitting users to tailor the tools, knowledge base, and integrations for their specific agent requirements. It supports deployment with local models like Llama 3 or on-premise/VPC models such as Azure OpenAI or Gemini, ensuring privacy and control over data. LaVague facilitates tasks ranging from automated test generation from Gherkin specifications to complex process automation within CRMs or ERPs.
Features
- Open-Source Framework: Build and deploy web agents with readily available code.
- AI Web Agent Construction: Utilizes Large Action Models for browser automation.
- Customizable: Adapt agent tools, knowledge, and integrations for specific use cases.
- Private Deployment: Supports local models (Llama 3) and on-VPC models (Azure OpenAI, Gemini).
- Performant: Leverages state-of-the-art models for efficient web interactions.
- Gherkin to Test Automation: Converts Gherkin specifications into executable tests (via LaVague QA).
Use Cases
- Automate QA test writing from Gherkin specifications.
- Automate web navigation, data entry, or data orchestration across SaaS platforms (CRM, ERP).
- Retrieve specific information from SaaS solutions by simulating user exploration and decision-making.
Related Queries
Helpful for people in the following professions
LaVague Uptime Monitor
Average Uptime
100%
Average Response Time
150 ms
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