Guardrails
LLM FrameworksAn open-source toolkit for adding programmable guardrails to LLM‑based conversational applications
Features
- Add programmatic control over LLM outputs (e.g., topic restrictions, style enforcement)
- Protect against jailbreaks and prompt injections with built‑in vulnerability scanning
- Support for Retrieval‑Augmented Generation, domain‑specific assistants, and LangChain integration
Recent releases
View all 11 releases →
Config change
v0.22.0
Breaking risk
Auth
Usage reporting, LangChain optional, IORails enhancements
v0.21.0
Breaking risk
Breaking changes
- Removed stream_usage from streaming metadata capture
Notable features
- IORails Input/Output rail engine with parallel execution
- check_async method for standalone rail validation
- OpenAI-compatible server with v1/models endpoint
v0.20.0
Breaking risk
Breaking changes
- Removed streaming field from configuration
Notable features
- Nemotron reasoning-capable content safety models
- GLiNER for open-source PII detection
- Multilingual refusal messages in content safety rails
v0.19.0
Breaking risk
Notable features
- LangChain 1.x compatibility
- Content blocks API support for reasoning traces and tool calls
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Install & Platforms
Install via
pip
Platforms
linux
macos
windows
