01 What is it?
Guardrails AI and NeMo Guardrails are the leading open frameworks for enforcing policy on LLM inputs, outputs and agent actions. They provide programmable validators, structured output, topical guards and tool-call filters, executed deterministically alongside the model.
02 Why implement it?
- Deterministic policy enforcement at the prompt layer
- Structured output validation and repair
- Topical and content guards for inputs and outputs
- Tool-call filters and dialog management (NeMo)
- Open source, framework agnostic
03 How I help
I design guardrail policy sets for your agent estate, integrate the frameworks into your runtime, write custom validators for your domain, and instrument the observability that proves the guardrails are firing as intended.
04 Expected deliverables
- Guardrail policy set for your agent estate
- Custom validators for your domain
- Runtime integration into LangGraph, LangChain or hosted runtimes
- Observability and audit of guardrail firings
- Red-team report on bypass attempts