Guardrails AI
Add guardrails to your LLM applications — validate inputs, detect risks, and enforce policies
★ 7,063 GitHub
Apache-2.0 llm-guardrailsvalidationsafetycontent-moderationpii-detectionpython RAG & Wissen
Überblick
Guardrails AI is an open-source Python framework for adding structural guardrails to large language model (LLM) applications. It lets you define verifiable guardrails — input/output validation, risk detection, content moderation, and custom policies — that run before and after every LLM call. With built-in support for OpenAI, Anthropic, and local models, Guardrails AI provides a declarative API for safe, reliable LLM deployment. It includes guardrails_hub for pre-built validators covering PII detection, toxicity checking, code safety, and more.
Anforderungen
Min vCPU
1
Min RAM
512 MB
Min Disk
10 GB
Rec vCPU
2
Rec RAM
2048 MB
Rec Disk
20 GB
Empfohlener VPS
Hostinger · KVM 2
2 vCPU · 8192 MB · 100 GB
Hostinger · KVM 2
2 vCPU · 8192 MB · 100 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
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