229 guardrails-ai(1) - Kailash Tool Reference
229.1 guardrails-ai
guardrails-ai - Guardrails AI — validators that enforce structure, type and quality guarantees on LLM outputs.
| Layer | DEFENCE |
| Category | d-01-runtime-defence |
| Safety class | safe |
| Licence | Apache-2.0 |
| Upstream | github.com/guardrails-ai/guardrails |
229.1.1 NAME
guardrails-ai - Guardrails AI — validators that enforce structure, type and quality guarantees on LLM outputs.
229.1.2 SYNOPSIS & usage
Derived from the upstream README at generation time; verify against --help where the tool is installed.
pip install guardrails-ai
pip install guardrails-ai
guardrails configure
229.1.3 DESCRIPTION (upstream)
- [July 6, 2026] Guardrails validators are moving to standard PyPI packages you install directly with
pip, and Guardrails is discontinuing its hosted remote inferencing. See How to Migrate for what to do. Planned cutoff: August 25, 2026. - [Feb 12, 2025] We just launched Guardrails Index – the first of its kind benchmark comparing the performance and latency of 24 guardrails across 6 most common categories! Check out the index at index.guardrailsai.com Guardrails is a Python framework that helps build reliable AI applications by performing two key functions: 1. Guardrails runs Input/Output Guards in your application th
229.1.4 CONFIGURATION (detected)
Config-surface markers detected in the upstream README (3 matches, e.g. ci.yml, ci.yml). A full config reference page for this tool is queued under the config-page policy — this line is the detection record, not the page.
229.1.5 SEE ALSO
- Category: d-01-runtime-defence in the category directory (sister tools listed there).
- Configuration reference — files, environment variables, samples.
ref: pin - verified 2026-10-14