❖ SDV Agent

SDV Agent allows you to create synthetic data using a chat-based interface powered by LLMs. SDV Agent teams up with the powerful SDV ecosystem. With just a few, quick prompts, the agent understands your synthetic data needs and forwards them to SDV. The agent works with SDV's sampling engine to produce accurate, comprehensive synthetic data for your applications.

💬 A chat-based approach to synthetic data. SDV Agent allows you to set up and create synthetic data using natural language. Simply tell the agent what you need in English, and the agent will figure out how to use SDV to achieve your request. There's no need to code or use the Python API.

🧠 Smart suggestions coming straight from SDV. SDV Agent is aware of the full SDV ecosystem. It's able to check your prompts, proactively suggesting alternate ideas and corrections if needed. No more time wasted in troubleshooting Python commands.

🌎 Leverage the knowledge of LLMs. SDV Agent has the full power of an LLM behind it. Use this to learn more about synthetic data, understand database concepts, or search through similar, publicly available projects as guidance. LLMs are also aware of commonly used industry terms and practices.

Included Features

SDV Agent is delivered as an MCP server, with hooks that allow an LLM to execute SDV Enterprise functions for detecting metadata, training a synthesizer, creating synthetic data, evaluating it, and more. You can also use this to help you double-check your metadata, add constraints, and identify features for optimizing your synthesizer.

Installation

Use your SDV Enterprise credentials to install SDV Agent and SDV Enterprise. The agent will work with SDV Enterprise to create high quality synthetic data.

% pip install sdv-installer --upgrade
% sdv-installer install --upgrade

Username: <email>
License Key: ********************************

Installing SDV Enterprise:
sdv-enterprise (version 0.30.0) - Installed!

Installing Bundles:
sdv-agent - Installed!

Success! All packages have been installed. You are ready to use SDV Enterprise.

For more information about installing SDV Enterprise features and bundles, see our Enterprise Installation Guide.

Integrate with a Front-End

You can connect the MCP server to the front-end service of your choice. Popular examples include Cursor, Claude Desktop, Visual Studio and more!

For more information, see the Model Context Protocol docs.