Guardrails

Guardrails is a tool that helps make applications using large language models (LLMs) safer and more compliant. It works by adding checks to the way these applications handle information. Think of it like a safety net for AI conversations.

Benefits

Guardrails can automatically check the input users give to an AI and the output the AI provides. This helps ensure that the AI's responses are appropriate and follow specific rules. It can help prevent harmful content, protect private information, and keep the AI focused on its intended purpose.

Use Cases

This tool can be used in various ways. It can be added to applications that use OpenAI's language models by simply replacing the standard OpenAI client with the Guardrails version. This means that all requests and responses will automatically go through the safety checks. It can also be integrated with tools like the Agents SDK to build AI agents that are more reliable and secure. Developers can also use Guardrails to test how well their safety measures work using an evaluation framework. This framework helps measure the accuracy of the guardrails.

Vibes

The package is currently in preview, meaning it is still being developed and improved.

Additional Information

Guardrails includes several built-in checks. These include content moderation, filtering URLs, detecting private information, identifying fake information, preventing attempts to break safety rules, and ensuring responses stay on topic. Developers can even create their own custom checks. The package is released under the MIT License. It's important to note that Guardrails uses paid OpenAI services, so users are responsible for any costs associated with that.