#49 · Primary category： LLM Application Frameworks
guardrails
Adding guardrails to large language models.
Project last updated：08/27/26
GitHub Stars
7.3K
Forks
682
Contributors
79
License
Apache-2.0
Why we included this project
Model output is only as good as your ability to check it, and that check is what Guardrails is built around. It is a Python framework that wraps calls to an LLM with input and output guards, each aimed at a specific risk type, flagging problems before they ship. The same library can coerce free-form responses into structured data, which is often the first thing teams want when they need dependable JSON or typed results. Validators are organized through the Guardrails Hub and exposed as a Python API, so adding them to an existing app does not require adopting a new stack. Teams past the prototype stage who need repeatable validation logic around their model calls will find it useful right away.
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