Tech riderRev. 21 Sept 2026

OpenAI Guardrails

Ch 106.6of 21 AI Guardrail Software

1Runs onAPI, self-hosted, Web
2CostsNot stated by the maker
3Deploymenthybrid
4Prompt injection defenseYes
5PII detectionYes
6Jailbreak detectionYes
7Custom policiesYes
8SDK languagesPython, TypeScript

7 lines stated Written from the maker's own pages: guardrails.openai.com

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Overview

OpenAI Guardrails is ranked #10 of 21 in AI guardrail software on Specifiction. It runs on API, Self-hosted, Web.

Compared on AI guardrail software

Deployment: hybridguardrails.openai.com
Prompt injection defense: Yesguardrails.openai.com
PII detection: Yesguardrails.openai.com
Jailbreak detection: Yesguardrails.openai.com
Custom policies: Yesguardrails.openai.com
SDK languages: Python, TypeScriptguardrails.openai.com

Facts

Purpose: OpenAI Guardrails adds configurable safety and compliance checks to LLM applications by validating inputs and outputs.github.com · 4 Oct 2026
Availability: The Python project is labeled Preview and is available under the MIT license.github.com · 4 Oct 2026
Checks: Built-in checks include PII masking, moderation, jailbreak detection, off-topic prompt checks, URL filtering, hallucination detection, and experimental prompt injection detection for agent tool calls.guardrails.openai.com · 4 Oct 2026
Client integration: The Python package provides drop-in replacements for OpenAI clients and integrates with the OpenAI Agents SDK.github.com · 4 Oct 2026
Provider compatibility: The quickstart documents Azure OpenAI clients and compatibility with OpenAI-compatible APIs, including a local Ollama example.github.com · 4 Oct 2026
Configuration: The Guardrails Wizard creates pipeline configurations that can also be defined manually as JSON.github.com · 4 Oct 2026
Evaluation: Guardrail performance can be measured on labeled datasets using the exported configuration and the evaluation dependencies.github.com · 4 Oct 2026
Requirements: The Python package requires Python 3.11 or newer; configurations using Contains PII also require its spaCy model during build or deployment.github.com · 4 Oct 2026
Usage costs: Guardrails calls paid OpenAI APIs, and developers are responsible for the associated charges.npmjs.com · 4 Oct 2026
Third-party services: Guardrails may use third-party services such as the Presidio open-source framework, which is subject to its own terms and is not developed or verified by OpenAI.npmjs.com · 4 Oct 2026
Maker: OpenAI describes itself as an AI research and deployment company; it was founded in 2015 and is based in San Francisco.openai.com · 4 Oct 2026
OpenAI clients: The Python SDK provides wrapped OpenAI clients for Chat Completions and Responses API calls.github.com · 4 Oct 2026
Agents integration: The Python SDK integrates with the OpenAI Agents SDK through GuardrailAgent.github.com · 4 Oct 2026
Other providers: The quickstart documents Azure OpenAI clients and compatibility with OpenAI-compatible APIs, including a local Ollama example.github.com · 4 Oct 2026
Evaluations: The Python package includes evaluation tooling for measuring guardrail performance on labeled datasets.github.com · 4 Oct 2026
Platform support: The maker provides Python and TypeScript/JavaScript Guardrails SDKs for use in applications.openai.github.io · 4 Oct 2026
Third-party component: Guardrails may use third-party services such as the Presidio open-source framework, which OpenAI says it does not develop or verify.github.com · 4 Oct 2026
Maturity: The Python repository labels OpenAI Guardrails as a preview.github.com · 4 Oct 2026